Union-wide
Community-led
Inter- and Transdisciplinary Sessions
Disciplinary sessions

HS – Hydrological Sciences

Programme group chair: Alberto Viglione

MAL15
Henry Darcy Medal Lecture by Marc F. P. Bierkens
Conveners: Maria-Helena Ramos, Alberto Viglione
Abstract
| Tue, 25 Apr, 19:00–20:00 (CEST)
 
Room B
Tue, 19:00
MAL17
John Dalton Medal Lecture by Taikan Oki
Conveners: Maria-Helena Ramos, Alberto Viglione
Abstract
| Thu, 27 Apr, 19:00–20:00 (CEST)
 
Room B
Thu, 19:00
MAL41
HS Division Outstanding ECS Award Lecture by Inge de Graaf
Conveners: Maria-Helena Ramos, Alberto Viglione
Abstract
| Thu, 27 Apr, 14:00–14:30 (CEST)
 
Room 2.44
Thu, 14:00
DM7
Division meeting for Hydrological Sciences (HS)
Co-organized by HS
Conveners: Maria-Helena Ramos, Alberto Viglione
Tue, 25 Apr, 12:45–13:45 (CEST)
 
Room B
Tue, 12:45
NET12
20 years of EGU and contributions from the hydrological sciences
Co-organized by HS
Convener: Alberto Viglione
Programme
| Thu, 27 Apr, 16:15–18:00 (CEST)
 
Room E1
Thu, 16:15

HS1 – General Hydrology

Programme group scientific officers: Alberto Viglione, Maria-Helena Ramos

HS1.1 – Hydrological Sciences for Policy and Society

Programme group scientific officers: Alberto Viglione, Maria-Helena Ramos

HS1.1.1

The science-policy interface is not just as a way to increase the impact of our science, but it is also a scientific subject in itself. It presents several challenges to both scientists and policy-makers. They include understanding the different steps in the policy cycle: from setting the agenda to formulating, adopting, implementing, monitoring and evaluating polices. It is also crucial to know which facts and evidences are most needed at each step, so scientists can provide the best information at the right time and in the best way.

This session provides the opportunity for discussing and addressing the necessary skills to facilitate the uptake of hydrological sciences in policy formulation and implementation. We will discuss expectations, actual practice, research challenges and the skills that enable (or prevent) advances in the field.

This session will host invited-talks only and an interactive online/on-site panel discussion with the audience.

Public information:

Come and join our discussions! Our solicited speakers are:

- Gari Villa-Landa Sokolova, Senior Policy Advisor – Water Services at EurEau, Brussels. Virtual presentation: Evolution of the water acquis and policy making

- Janez Susnik, Associate Professor at the Land and Water Management Department of IHE, Delft, Coordinator of the NEXOGENESIS H2020 project on Facilitating the next generation of effective and intelligent water-related policies. Onsite presentation: Assessing policy impacts in complex resource systems

- Abou Amani, Director of the Division of Water Sciences and Secretary of the Intergovernmental Hydrological Programme (IHP) at UNESCO, Paris. Virtual presentation: The new IHP-IX: Strategic Plan of the Intergovernmental Hydrological Programme (Science for a Water Secure World in a Changing Environment)

The talks will be preceded by an introduction by Sophie Berger (Policy Officer, Mission on adaptation to Climate Change, European Commission, DG Research and innovation, Brussels).

An open panel will allow us to discuss the topic together, with invited pitches from mid-career scientists: Niko Wanders (Utrecht University) and Letícia S. Lima (Universitat Autònoma de Barcelona).

Convener: Maria-Helena Ramos | Co-conveners: Elena Toth, Wouter Buytaert, Micha Werner
Programme
| Mon, 24 Apr, 14:00–15:45 (CEST)
 
Room 3.16/17
Mon, 14:00
HS1.1.3 | PICO

This session welcomes abstracts that consider how to observe, model and analyse interactions of people and water, and the effects of social and environmental changes on hydrological systems. It is organised as part of the finalisation and synthesis activities of the IAHS Panta Rhei hydrological decade 2013-2023; and focuses on gains in our understanding of dynamic human-water systems.
Examples of relevant topics include:
- Observations of human impacts on, and responses to, hydrological change.
- Interactions of communities with local water resources.
- Hydrological models that include anthropogenic effects.
- Creation of databases describing hydrology in human-impacted systems.
- Data analysis and comparisons of human-water systems around the globe and especially in developing and emerging countries.
- Human interactions with hydrological extremes, i.e. floods and droughts, and water scarcity.
- The role of gender, age, and cultural background in the impacts of hydrological extremes (floods and droughts), risk perception, and during/after crises and emergencies.

Co-sponsored by IAHS
Convener: Heidi Kreibich | Co-conveners: Fuqiang Tian, Anne Van Loon, Giuliano Di Baldassarre
PICO
| Tue, 25 Apr, 08:30–12:30 (CEST), 14:00–15:45 (CEST)
 
PICO spot 4
Tue, 08:30
HS1.1.4 | PICO

The science-policy-practice (SPP) nexus approach is considered optimal in the sustainable management and governance of water resources, which lies at the heart of the global development. Whilst the science-policy interaction has received considerable attention, the practice component of this nexus remains to be comprehensively promoted for both improving operational hydrology services and achieving science-informed policies.
Operational hydrology as part of practice is defined by the World Meteorological Organization (WMO) as “the real-time and regular measurement, collection, processing, archiving and distribution of hydrological, hydrometeorological and cryospheric data, and the generation of analyses, models, forecasts and warnings which inform water resources management and support water-related decisions, across a spectrum of temporal and spatial scales'' (WMO, 2019). The operationalization of research for hydrological services is not straightforward.
Whilst applied hydrology research is of direct relevance to many professionals - such as national hydromet agencies and catchment managers - uptake is still limited. Development and sharing of methods/tools by the scientific community is necessary for translating scientific information into a format facilitating education, decisionmaking and policy formulation (UNESCO IHP IX, 2022-2029). Making hydrology research actionable should be a priority strategy in the design of knowledge translation mechanisms. In the context of SPP, this requires alignment of needs/expectations and an understanding of the frameworks that different stakeholders must work within, and the agendas/ legal constraints contemporary and salient to them and their funders.
Liaising with stakeholders, policy-makers, and society is needed not only to turn research into impactful action but also to improve research outcomes by capturing issues that cannot be understood via disciplinary lenses. It is necessary to create the interdisciplinary knowledge needed to address the questions faced by decision-makers and all the societal stakeholders.
For this session, we welcome contributions on interdisciplinary collaborations and existing hydrology initiatives, organizations, and networks that offer modalities and frameworks aimed at connecting typically isolated stakeholders of research and improving hydrological research-services interface on various scales and directions.

Co-sponsored by WMO and UNESCO
Convener: Nilay Dogulu | Co-conveners: Stephan Dietrich, Ellen Gute, Ben Howard, Britta Höllermann, Thomas Thaler, Elena Toth
PICO
| Fri, 28 Apr, 16:15–18:00 (CEST)
 
PICO spot 3b
Fri, 16:15
EOS2.4 EDI

Hydrology training, education and teaching is central to advancement of hydrological sciences, practice and policy. This session aims to revive the earlier discussions on hydrology education while taking a fresh perspective on the transformative principles and approaches required in a new era of advanced technology, knowledge generation and science governance. The transition to online education (during the covid-19 lockdown), the rising interdisciplinary nature of hydrology as well as greater support for open as well as citizen science emphasises the need for hydrologists to adapt their teaching and learning processes. These include curriculum development, design of hybrid teaching formats (e.g., online field trips), inclusion of coding and laboratory experiments in classes, creating open educational resources and tools, testing new examination methods, and transdisciplinary learning. With increasing scope and responsibility of teaching, there is also greater interest in teaching as an academic career path. Overall, it is high time that the hydrology community take steps towards envisioning a better future for hydrology education. To this end, our session gives the opportunity for a joint dialogue between teaching enthusiasts. We invite contributions, especially by early career scientists, that share experiences (e.g., lessons learned, best practices), offer critical perspectives (e.g., the need for a new hydrology textbook) or discuss future ways forward (e.g., establishing more BSc degrees in hydrology).

We will start off with the solicited presentation by Christopher Skinner (virtual). Next, the first half will be dedicated to on-site poster presentations (5 min/poster) with a kickoff tour guided by conveners (random visitors can join whenever they do); while the second half will be for a virtual component on gather.town.

Public information:

We are also organizing a splinter meeting the next day! It is on Thursday between 10:45–12:30 (in Room 2.43 of the red floor). All hydrology teaching and education enthusiasts are welcome to join, see the details here:

  • SPM37 Education and teaching in hydrology: changing values and practices for a new era https://meetingorganizer.copernicus.org/EGU23/session/47710 
Co-organized by HS1.1, co-sponsored by WMO and UNESCO
Convener: Martine Rutten | Co-conveners: Nilay Dogulu, Diana Spieler, John Gannon, John Selker
Posters on site
| Attendance Wed, 26 Apr, 14:00–15:45 (CEST)
 
Hall X2
Posters virtual
| Wed, 26 Apr, 14:00–15:45 (CEST)
 
vHall EOS
Wed, 14:00
Wed, 14:00

HS1.2 – Innovative sensors and monitoring in hydrology

Programme group scientific officers: Alberto Viglione, Maria-Helena Ramos

HS1.2.1 EDI

The MacGyver session focuses on novel sensors made, or data sources unlocked, by scientists. All geoscientists are invited to present:
- new sensor systems, using technologies in novel or unintended ways,
- new data storage or transmission solutions sending data from the field with LoRa, WIFI, GSM, or any other nifty approach,
- started initiatives (e.g., Open-Sensing.org) that facilitate the creation and sharing of novel sensors, data acquisition and transmission systems.

Connected a sensor to an Arduino or Raspberri Pi? Used the new Lidar in the new iPhone to measure something relevant for hydrology? 3D printed an automated water quality sampler? Or build a Cloud Storage system from Open Source Components? Show it!

New methods in hydrology, plant physiology, seismology, remote sensing, ecology, etc. are all welcome. Bring prototypes and demonstrations to make this the most exciting Poster Only (!) session of the General Assembly.

The MacGyver session this year teams up with the Frontiers in river flow monitoring session. The 'author in attendance' blocks are in the early morning and late afternoon. In between those two block we organize a field session with hands-on on different state of the art hydrometry techniques. Bring your own measurement system and show case it, or join us to see others demonstrate their devices! Details on this field trip:

Monday, 24th of April, 10:30 to 16:00 hrs
Departure by bus at 10:30 hrs from AVC Center
Platz der Vereinten Nationen close to underground station Kaisermühlen VIC
Lunch and beverages will be provided

If you are interested please send us an email: pena@photrack.ch

This session is co-sponsered by MOXXI, the working group on novel observational methods of the IAHS.

Co-organized by BG2/GI1
Convener: Rolf Hut | Co-conveners: Theresa Blume, Marvin Reich, Andy Wickert, Salvador Peña-Haro, Gabriel Sentlinger, Christoph Sommer
Posters on site
| Attendance Mon, 24 Apr, 16:15–18:00 (CEST)
 
Hall A
Posters virtual
| Mon, 24 Apr, 16:15–18:00 (CEST)
 
vHall HS
Mon, 16:15
Mon, 16:15
HS1.2.2 EDI

Water is our planet’s most vital resource, and the primary agent in some of the biggest hazards facing society and nature. Recent extreme heat and flood events are clear demonstrations of how our planet’s climate is changing, underlining the significance of water both as a threat and as an increasingly volatile resource.
The accurate and timely measurement of streamflow is therefore more critical than ever to enable the management of water for ecology, for people and industry, for flood risk management and for understanding changes to the hydrological regime. Despite this, effective monitoring networks remain scarce, under-resourced, and often under threat on a global scale. Even where they exist, observational networks are increasingly inadequate when faced with extreme conditions, and lack the precision and spatial coverage to fully represent crucial aspects of the hydrological cycle.

This session aims to tackle this problem by inviting presentations that demonstrate new and improved methods and approaches to streamflow monitoring, including:
1) Innovative methodologies for measuring/modelling/estimating river stream flows;
2) Real-time acquisition of hydrological variables;
3) Remote sensing and earth observation techniques for hydrological & morphological monitoring;
4) Measurement in extreme conditions associated with the changing climate;
5) Measurement of sudden-onset extreme flows associated with catastrophic events;
6) Strategies to quantify and describe hydro-morphological evolution of rivers;
7) New methods to cope with data-scarce environments;
8) Inter-comparison of innovative & classical models and approaches;
9) Evolution and refinement of existing methods;
10) Guidelines and standards for hydro-morphological streamflow monitoring;
11) Quantification of uncertainties;
12) Development of expert networks to advance methods.

Contributions are welcome with an emphasis on innovation, efficiency, operator safety, and meeting the growing challenges associated with the changing climate, and with natural and anthropogenically driven disasters such as dam failures and flash floods.

Additionally, presentations will be welcomed which explore options for greater collaboration in advancing river flow methods and which link innovative research to operational monitoring.

Public information:

A session examining all the latest methods for measurement of streamflow, for floods, droughts and everything in between.

Co-organized by GM5
Convener: Nick Everard | Co-conveners: Alexandre Hauet, Anette Eltner, Silvano F. Dal Sasso, Alonso Pizarro
Orals
| Wed, 26 Apr, 10:45–12:30 (CEST)
 
Room 2.15
Posters on site
| Attendance Wed, 26 Apr, 14:00–15:45 (CEST)
 
Hall A
Posters virtual
| Wed, 26 Apr, 14:00–15:45 (CEST)
 
vHall HS
Orals |
Wed, 10:45
Wed, 14:00
Wed, 14:00

HS1.3 – Cross-cutting hydrological sessions

Programme group scientific officers: Alberto Viglione, Maria-Helena Ramos

HS1.3.1 EDI

Many papers have advised on careful consideration of the approaches and methods we choose for our hydrological modelling studies as they potentially affect our modelling results and conclusions. However, there is no common and consistently updated guidance on what good modelling practice is and how it has evolved since e.g. Klemes (1986), Refsgaard & Henriksen (2004) or Jakeman et al. (2006). In recent years several papers have proposed useful practices such as benchmarking (e.g. Seibert et al., 2018), controlled model comparison (e.g. Clark et al., 2011), careful selection of calibration periods (e.g. Motavita et al., 2019) and methods (e.g. Fowler et al., 2018 ), or testing the impact of subjective modelling decisions along the modelling chain (Melsen et al., 2019). However, despite their very justified existence, none of the proposed methods have become quite as common and indispensable as the split sample test (KlemeŠ, 1986) and its generalisation to cross-validation.

This session intends to provide a platform for a visible and ongoing discussion on what ought to be the current standard(s) for an appropriate modelling protocol that considers uncertainty in all its facets and promotes transparency in the quest for robust and reliable results. We aim to bring together, highlight and foster work that develops, applies, or evaluates procedures for a trustworthy modelling workflow or that investigates good modelling practices for particular aspects of the workflow. We invite research that aims to improve the scientific basis of the entire modelling chain and puts good modelling practice in focus again. This might include (but is not limited to) contributions on:

(1) Benchmarking model results
(2) Developing robust calibration and evaluation frameworks
(3) Going beyond common metrics in assessing model performance and realism
(4) Conducting controlled model comparison studies
(5) Developing modelling protocols and/or reproducible workflows
(6) Examples of adopting the FAIR (Findable, Accessible, Interoperable and Reusable) principles in the modelling chain
(7) Investigating subjectivity along the modelling chain
(8) Uncertainty propagation along the modelling chain
(9) Communicating model results and their uncertainty to end users of model results
(10) Evaluating implications of model limitations and identifying priorities for future model development and data acquisition planning

Convener: Diana Spieler | Co-conveners: Keirnan Fowler, Lieke Melsen, Wouter Knoben
Orals
| Wed, 26 Apr, 16:15–17:55 (CEST)
 
Room 2.15
Posters on site
| Attendance Wed, 26 Apr, 14:00–15:45 (CEST)
 
Hall A
Posters virtual
| Wed, 26 Apr, 14:00–15:45 (CEST)
 
vHall HS
Orals |
Wed, 16:15
Wed, 14:00
Wed, 14:00
HS1.3.2 EDI | PICO

This session focuses on advances in theoretical, methodological and applied studies in hydrologic and broader earth system dynamics, regimes, transitions and extremes, along with their physical understanding, predictability and uncertainty, across multiple spatiotemporal scales.

The session further encourages discussion on interdisciplinary physical and data-based approaches to system dynamics in hydrology and broader geosciences, ranging from novel advances in stochastic, computational, information-theoretic and dynamical system analysis, to cross-cutting emerging pathways in information physics.

Contributions are gathered from a diverse community in hydrology and the broader geosciences, working with diverse approaches ranging from dynamical modelling to data mining, machine learning and analysis with physical process understanding in mind.

The session further encompasses practical aspects of working with system analytics and information theoretic approaches for model evaluation and uncertainty analysis, causal inference and process networks, hydrological and geophysical automated learning and prediction.

The operational scope ranges from the discussion of mathematical foundations to development and deployment of practical applications to real-world spatially distributed problems.

The methodological scope encompasses both inverse (data-based) information-theoretic and machine learning discovery tools to first-principled (process-based) forward modelling perspectives and their interconnections across the interdisciplinary mathematics and physics of information in the geosciences.

Take part in a thrilling session exploring and discussing promising avenues in system dynamics and information discovery, quantification, modelling and interpretation, where methodological ingenuity and natural process understanding come together to shed light onto fundamental theoretical aspects to build innovative methodologies to tackle real-world challenges facing our planet.

Co-organized by NP2
Convener: Rui A. P. Perdigão | Co-conveners: Julia Hall, Cristina Prieto, Maria Kireeva, Shaun Harrigan
PICO
| Tue, 25 Apr, 16:15–18:00 (CEST)
 
PICO spot 4
Tue, 16:15

HS2 – Catchment hydrology

Programme group scientific officers: Björn Guse, Miriam Glendell

PGM1
Sub-programme group meeting HS2 (by invitation only)
Conveners: Miriam Glendell, Björn Guse
Thu, 27 Apr, 12:30–14:00 (CEST)
 
Room 2.32
Thu, 12:30

HS2.1 – Catchment hydrology in diverse climates and environments

Programme group scientific officers: Björn Guse, Miriam Glendell

HS2.1.1

Water is a strategic issue in the Mediterranean region, mainly because of the scarcity of the available resources, in quantity and/or quality. The Mediterranean climate and the surface hydrology are characterized by a strong variability in time and space and the importance of extreme events, droughts and floods. This irregularity is also met at a lower level in aquifers dynamics. During the last century, modifications of all kinds and intensities have affected surface conditions and water uses. The Mediterranean hydrology is then continuously evolving.

This session intends to identify and analyse the changes in the Mediterranean hydrology, in terms of processes, fluxes, location. It will gather specialists in observation and modeling of the various water fluxes and redistribution processes within the catchments.
Contributions addressing the following topics are welcome:

• Spectacular case studies of rapid changes in water resources;
• Using various sources of information for comparing past and present conditions;
• Differentiating climatic and anthropogenic drivers (including GCM reanalysis);
• Modelling hydrological changes (in surface and/or ground water);
• Impacts of extreme events on water systems.

Convener: Lionel Jarlan | Co-conveners: Simon Gascoin, Said Khabba, María José Polo, Yves Tramblay
Orals
| Mon, 24 Apr, 08:30–10:15 (CEST)
 
Room 2.31
Posters on site
| Attendance Mon, 24 Apr, 10:45–12:30 (CEST)
 
Hall A
Posters virtual
| Mon, 24 Apr, 10:45–12:30 (CEST)
 
vHall HS
Orals |
Mon, 08:30
Mon, 10:45
Mon, 10:45
HS2.1.2 EDI | PICO

The African continent is experiencing various impacts of climate induced sequential droughts, floods, heatwaves, and alteration between two extremes. These changes are causing water and food insecurity in the region. The advances seen in hydrological models in better reproductions of observed variables such as streamflow and water availability are improving predictions of socio-economic risks of floods, droughts, and water stress. However, in data-sparse regions the use of hydroclimatic models for disaster risk reductions still requires improvement.

This session aims to bring together communities working on different strands of African hydrology, climate risks, water and food security, and environmental risks. We welcome both fundamental and applied research in the areas of hydrological process understanding, monitoring, drought/flood forecasting and mapping, seasonal forecasting, water resources management, climate impact assessment and societal implications. Interdisciplinary studies that combine the physical drivers of water-related risks and their socio-economic impacts in Africa are encouraged. Case studies showcasing practical innovative solutions relevant for decision making under large uncertainty are welcomed.

Convener: Meron Teferi Taye | Co-conveners: Fiachra O'Loughlin, Peter Burek
PICO
| Thu, 27 Apr, 08:30–10:15 (CEST)
 
PICO spot 3b
Thu, 08:30
HS2.1.4 EDI

Water is the main influencing factor for life in drylands. Dryland ecosystems and their inhabitants strongly rely on the scarce and often intermittent water availability in these regions. Drylands' characteristics make them more vulnerable to climate variability and more susceptible to the impact of extreme events. These events can reshape the landscape through the mobilisation of surface sediments and forming sedimentary deposits, which preserve and allow the reconstruction of past states of the Earth's system, including changes in the extent of deserts. Nevertheless, the study of hydroclimatic processes in drylands remains at the periphery of many geoscientific fields. A proper understanding of the hydrological, hydrometeorological and climatic processes in these regions is a cornerstone to achieve the proposed sustainable development goals we set for the end of this century.

This session brings together scientific disciplines addressing drylands' full range of environmental and water-related processes. The purpose is to foster interdisciplinary research and expand knowledge and methods established in individual subdisciplines.

Convener: Nazaré Suziane Soares | Co-conveners: Moshe Armon, Rodolfo Nóbrega, Andries Jan De Vries, Pedro Alencar, Kathryn Fitzsimmons, Yves Tramblay
Orals
| Mon, 24 Apr, 10:45–12:30 (CEST)
 
Room 2.31
Posters on site
| Attendance Mon, 24 Apr, 16:15–18:00 (CEST)
 
Hall A
Posters virtual
| Mon, 24 Apr, 16:15–18:00 (CEST)
 
vHall HS
Orals |
Mon, 10:45
Mon, 16:15
Mon, 16:15
HS2.1.5 EDI

Forests primarily regulate water, energy, and carbon cycles. Maintaining forest functional integrity is fundamental to the sustainability of ecosystems, societies, and human development as described in the UN Sustainable Development Goals.
Global change and anthropogenic intervention are putting enormous pressure on forests, affecting the ecosystem services they provide through water quantity and quality, and biogeochemical cycles. The conventional wisdom that forest hydrology emphasizes the role of forests and forest management practices on runoff generation and water quality has expanded in light of rapid global change. Some of the largest pristine forest areas are in the tropics and have undergone drastic changes in land use in recent decades. Although novel modeling and observational techniques have been applied as alternatives to develop cutting-edge research, these tropical systems remain notably underrepresented in hydrological studies compared to temperate regions, especially concerning long-term experimental setups and monitoring networks.
Improving our understanding of how hydrological processes in the forest are determined by time-invariant factors and time-varying controls, as well as how forest catchments respond to dynamic environmental conditions and disturbances, will depend critically on understanding forest-water interactions. Building this knowledge requires interdisciplinary approaches in combination with new monitoring methods and modeling efforts.
This session brings together studies that will improve our understanding and stimulate debate on the impact of global change on hydrological processes in forest systems at different scales.
We invite field experimentalists and modelers working in forests from boreal to tropical regions to submit contributions that:
1) Improve our understanding of forest (eco)hydrological processes using an experimental or modeling approach or a combination of both;
2) Assess the hydrology-related impacts of land use/cover change and environmental disturbances on forested systems;
3) Feature innovative methods and observational techniques, such as optical sensors, tracer-based experiments, monitoring networks, citizen science, and drones, that reveal new insights or data sources in forest hydrology;
4) Include interdisciplinary research that supports consideration of overlooked soil-plant-atmosphere components in hydrological studies.

Convener: Alicia Correa | Co-conveners: Daniele Penna, Luisa Hopp, Rodolfo Nóbrega
Orals
| Mon, 24 Apr, 14:00–15:45 (CEST)
 
Room 2.17
Posters on site
| Attendance Mon, 24 Apr, 10:45–12:30 (CEST)
 
Hall A
Posters virtual
| Mon, 24 Apr, 10:45–12:30 (CEST)
 
vHall HS
Orals |
Mon, 14:00
Mon, 10:45
Mon, 10:45
HS2.1.6 EDI

Despite only representing about 25% of continental land, mountains are an essential part of the global ecosystem and are recognised to be the source of much of the world’s surfaces water supply apart from important sources of other commodities like energy, minerals, forest and agricultural products, and recreation areas. In addition, mountains represent a storehouse for biodiversity and ecosystem services. People residing within mountains or in their foothills represent approximately 26% of the world’s population, and this percentage increases to nearly 40% when considering those who live within watersheds of rivers originated in a mountain range. This makes mountains particularly sensitive to climate variability, but also unique areas for identifying and monitoring the effects of global change thanks to the rapid dynamics of their physical and biological systems.
This session aims to bring together the scientific community doing hydrology research on mountain ranges across the globe to share results and experiences. Therefore, this session invites contributions addressing past, present and future changes in mountain hydrology due to changes in either climate and/or land use, how these changes affect local and downstream territories, and adaptation strategies to ensure the long-term sustainability of mountain ecosystem services, with a special focus on water cycle regulation and water resources generation. Example topics of interest for this session are:
• Sources of information for evaluating past and present conditions (in either surface and/or ground water systems).
• Methods for differentiating climatic and anthropogenic drivers of hydrological change.
• Modelling approaches to assess hydrological change.
• Evolution, forecasting and impacts of extreme events.
• Case studies on adaptation to changing water resources availability.

Convener: Marit Van Tiel | Co-conveners: David Haro Monteagudo, Andrea Momblanch, Santiago Beguería
Orals
| Tue, 25 Apr, 16:15–18:00 (CEST)
 
Room 2.44, Wed, 26 Apr, 08:30–10:15 (CEST)
 
Room 2.44
Posters on site
| Attendance Wed, 26 Apr, 10:45–12:30 (CEST)
 
Hall A
Posters virtual
| Wed, 26 Apr, 10:45–12:30 (CEST)
 
vHall HS
Orals |
Tue, 16:15
Wed, 10:45
Wed, 10:45
HS2.1.7 EDI

Water stored in the snow pack and in glaciers represents an important component of the hydrological budget in many regions of the world, as well as a sustainment to life during dry seasons. Predicted impacts of climate change in catchments covered by snow or glaciers (including a shift from snow to rain, earlier snowmelt, and a decrease in peak snow accumulation) will reflect both on water resources availability and water uses at multiple scales, with potential implications for energy and food production.

The generation of runoff in catchments that are impacted by snow or ice, profoundly differs from rainfed catchments. And yet, our knowledge of snow/ice accumulation and melt patterns and their impact on runoff is highly uncertain, because of both limited availability and inherently large spatial variability of hydrological and weather data in such areas. This translates into limited process understanding, especially in a warming climate.

This session aims at bringing together those scientists that define themselves to some extent as cold region hydrologists, as large as this field can be. Contributions addressing the following topics are welcome:
- Experimental research on snow-melt & ice-melt runoff processes and potential implementation in hydrological models;
- Development of novel strategies for snowmelt runoff modelling in various (or changing) climatic and land-cover conditions;
- Evaluation of remote-sensing or in-situ snow products and application for snowmelt runoff calibration, data assimilation, streamflow forecasting or snow and ice physical properties quantification;
- Observational and modelling studies that shed new light on hydrological processes in glacier-covered catchments, e.g. impacts of glacier retreat on water resources and water storage dynamics or the application of techniques for tracing water flow paths;
- Studies on cryosphere-influenced mountain hydrology, such as landforms at high elevations and their relationship with streamflow, water balance of snow/ice-dominated mountain regions;
- Studies addressing the impact of climate change on the water cycle of snow and ice affected catchments.

Co-organized by CR6
Convener: Francesco Avanzi | Co-conveners: Guillaume Thirel, Doris Duethmann, Abror Gafurov, Giulia Mazzotti
Orals
| Wed, 26 Apr, 14:00–18:00 (CEST)
 
Room 2.44
Posters on site
| Attendance Wed, 26 Apr, 10:45–12:30 (CEST)
 
Hall A
Orals |
Wed, 14:00
Wed, 10:45
HS2.1.8 EDI | PICO

Large data samples of diverse catchments can provide insights into relevant physiographic and hydroclimatic factors that shape hydrological processes. Further, large data sets increasingly cover a wide variety of hydrologic conditions, enabling the development of several research topics, such as extreme events, data and model uncertainty, hydrologic model evaluation and prediction in ungauged basins.

This session aims to showcase recent data and model-based efforts on large-sample hydrology, which advance the characterization, organization, understanding and modelling of hydrological diversity.

We specifically welcome abstracts that seek to accelerate progress on the following topics:

1. Development and improvement of large-sample data sets:
How can we address current challenges on the unequal geographical representation of catchments, quantification of uncertainty, catchment heterogeneities and human interventions for fair comparisons among datasets?
2. Catchment similarity and regionalization:
Can currently available global datasets be used to define hydrologic similarity? How can information be transferred between catchments?
3. Modelling capabilities:
How can we improve hydrological modelling by using large samples of catchments?
4. Testing of hydrologic theories:
How can we use large samples of catchments to transfer hydrologic theories from well-monitored to data-scarce catchments?
5. Identification and characterization of dominant hydrological processes:
How can we use catchment descriptors available in large sample datasets to infer dominant controls for relevant hydrological processes?
6. Human impacts and non-stationarity
How can we (systematically) represent human influences in large sample datasets and use them to infer hydrological response under changing environmental conditions?

A splinter meeting is planned to discuss and coordinate the production of large-sample data sets, entitled “Large sample hydrology: facilitating the production and exchange of data sets worldwide”. See the final programme for location and timing.

The session and the splinter meeting are organized as part of the Panta Rhei Working Group on large-sample hydrology.

Convener: Gemma Coxon | Co-conveners: Nans Addor, Tunde Olarinoye, Keirnan Fowler, Daniele Ganora
PICO
| Thu, 27 Apr, 10:45–12:30 (CEST)
 
PICO spot 3b
Thu, 10:45

HS2.2 – From observations to concepts to models (in catchment hydrology)

Programme group scientific officers: Björn Guse, Miriam Glendell

HS2.2.1 EDI

Understanding and representing hydrological processes is the basis for developing and improving hydrological and Earth system models. Relevant hydrological data are becoming globally available at an unprecedented rate, opening new avenues for modelling (model parametrization, evaluation, and application) and process representation. As a result, a variety of models are developed and trained by new quantitative and qualitative data at various temporal and spatial scales.
In this session, we welcome contributions on novel frameworks for model development, evaluation and parametrization across spatio-temporal scales.

Potential contributions could (but are not limited to):
(1) introduce new global and regional data products into the modeling process;
(2) upscale experimental knowledge from smaller to larger scale for better usage in catchment models;
(3) advance seamless modeling of spatial patterns in hydrology and land models using distributed earth observations;
(4) improve model structure by representing often neglected processes in hydrological models such as human impacts, river regulations, irrigation, as well as vegetation dynamics;
(5) provide novel concepts for improving the characterization of internal and external model fluxes and their spatio-temporal dynamics;
(6) introduce new approaches for model calibration and evaluation, especially to improve process representation, and/or to improve model predictions under changing conditions;
(7) develop novel approaches and performance metrics for evaluating and constraining models in space and time

This session is organized as part of the grass-root modelling initiative on "Improving the Theoretical Underpinnings of Hydrologic Models" launched in 2016.

Convener: Simon Stisen | Co-conveners: Björn Guse, Luis Samaniego, Sina Khatami, Elham R. Freund
Orals
| Fri, 28 Apr, 08:30–12:25 (CEST)
 
Room 2.44
Posters on site
| Attendance Fri, 28 Apr, 14:00–15:45 (CEST)
 
Hall A
Posters virtual
| Fri, 28 Apr, 14:00–15:45 (CEST)
 
vHall HS
Orals |
Fri, 08:30
Fri, 14:00
Fri, 14:00
HS2.2.5 EDI

A multitude of processes contribute to the hydrologic function of catchments. Traditionally, catchment hydrology has been centered around surface runoff, which is readily observable. At the same time, belowground processes, including subsurface runoff, as well as feedbacks to the surface and the specific role of soil moisture in shaping these fluxes is still underexplored. This session is dedicated specifically to
• identify and model subsurface runoff generation at the catchment scale
• improve and validate representation of feedbacks between surface and subsurface processes in models
• how soil moisture measurements across scales are used to improve process understanding, models and hydrological theory

Convener: Peter Chifflard | Co-conveners: Theresa Blume, Hugo Delottier, Anke Hildebrandt, Katya Dimitrova Petrova, Oliver S. Schilling, Qi Tang
Orals
| Fri, 28 Apr, 14:00–15:45 (CEST), 16:15–17:55 (CEST)
 
Room B
Posters on site
| Attendance Fri, 28 Apr, 10:45–12:30 (CEST)
 
Hall A
Posters virtual
| Fri, 28 Apr, 10:45–12:30 (CEST)
 
vHall HS
Orals |
Fri, 14:00
Fri, 10:45
Fri, 10:45
HS2.2.7 EDI

Stable and radioactive isotopes as well as other natural and artificial tracers are useful tools (i) to fingerprint the sources of water and solutes in catchments, (ii) to trace their flow pathways or (iii) to quantify exchanges of water, solutes and particulates between hydrological compartments. We invite contributions that demonstrate the application and recent developments of isotope and other tracer techniques in hydrological field studies or modelling in the areas of surface/groundwater interactions, unsaturated and saturated zone, rainfall-runoff processes, snow hydrology, nutrient or contaminant export, ecohydrology or other catchment processes.

Convener: Andrea Popp | Co-conveners: Michael Stockinger, Pertti Ala-aho, Christine Stumpp
Orals
| Wed, 26 Apr, 16:15–18:00 (CEST)
 
Room C, Thu, 27 Apr, 08:30–11:55 (CEST)
 
Room C
Posters on site
| Attendance Wed, 26 Apr, 14:00–15:45 (CEST)
 
Hall A
Orals |
Wed, 16:15
Wed, 14:00

HS2.3 – Water quality at the catchment scale

Programme group scientific officers: Björn Guse, Miriam Glendell

HS2.3.1 EDI

Land use and climate change as well as legal requirements (e.g. the EU Water Framework Directive) pose challenges for the assessment and sustainable management of surface water quality at the catchment scale. Sources and pathways of nutrients and other pollutants as well as nutrient interactions have to be characterized to understand and manage the impacts in river systems. Additionally, water quality assessment needs to cover the chemical and ecological status to link the hydrological view to aquatic ecology.
Models can help to optimize monitoring schemes and provide assessments of future change and management options. However, insufficient temporal and/or spatial resolution, a short duration of observations and the widespread use of different analytical methods restrict the data base for model application. Moreover, model-based water quality calculations are affected by errors in input data, model errors, inappropriate model complexity and insufficient process knowledge or implementation. Additionally, models should be capable of representing changing land use and climate conditions, which is a prerequisite to meet the increasing needs for decision making. The strong need for advances in water quality models remains.

This session aims to bring scientist together who work on experimental as well as on modelling studies to improve the prediction and management of water quality constituents (nutrients, organic matter, algae, or sediment) at the catchment scale. Contributions are welcome that cover the following issues:

- Experimental and modelling studies on the identification of sources, hot spots, pathways and interactions of nutrients and other, related pollutants at the catchment scale
- New approaches to develop efficient water quality monitoring schemes
- Innovative monitoring strategies that support both process investigation and model performance
- Advanced modelling tools integrating catchment as well as in-stream processes
- Observational and modelling studies at catchment scale that relate and quantify water quality changes to changes in land use and climate
- Measurements and modelling of abiotic and biotic interaction and feedback involved in the transport and fate of nutrients and other pollutants at the catchment scale
- Catchment management: pollution reduction measures, stakeholder involvement, scenario analysis for catchment management

Convener: Paul Wagner | Co-conveners: Sarah Halliday, Ype van der Velde, Nicola Fohrer
Orals
| Mon, 24 Apr, 16:15–17:55 (CEST)
 
Room B, Tue, 25 Apr, 08:30–12:25 (CEST)
 
Room B
Posters on site
| Attendance Tue, 25 Apr, 16:15–18:00 (CEST)
 
Hall A
Posters virtual
| Tue, 25 Apr, 16:15–18:00 (CEST)
 
vHall HS
Orals |
Mon, 16:15
Tue, 16:15
Tue, 16:15
HS2.3.2 EDI

The occurrence of pathogens and an exponentially increasing number of contaminants in freshwater and estuary environments pose a serious problem to public health. This problem is likely to increase in the future due to more frequent and intense storm events, the intensification of agriculture, population growth and urbanization. Pathogens (e.g., pathogenic bacteria and viruses) are introduced into surface water through the direct discharge of wastewater, or by the release from animal manure or animal waste via overland flow or groundwater, which subsequently presents potential risks of infection when used for drinking, recreation or irrigation. Contaminants of emerging concern are released as diffuse sources from anthropogenic activities or as discharges from wastewater treatment plants (e.g., trace organic contaminants). So far, the sources, pathways and transport mechanisms of fecal indicators, pathogens and emerging contaminants in water environments are poorly understood, and thus we lack a solid basis for quantitative risk assessment and selection of best mitigation measures. Innovative, interdisciplinary approaches are needed to advance this field of research. In particular, there is a need to better understand the dominant processes controlling fecal indicator, pathogen and contaminant fate and transport at larger scales. Consequently, we welcome contributions that aim to close these knowledge gaps and include both small and large-scale experimental and modelling studies with a focus on:
- The development and application of novel experimental and analytical methods to investigate fate and transport of fecal indicators, pathogens and emerging contaminants in rivers, groundwater and estuaries
- Hydrological, physically based modelling approaches
- Methods for identifying the dominant processes and for transferring fecal indicator, pathogen and contaminant transport parameters from the laboratory to the field or catchment scale
- Methods accounting for concentrations of pathogens or contaminants at or below the limits of detection
- Investigations of the implications of contamination of water resources for water safety management planning and risk assessment frameworks

Public information:

Session dinner

We organise a session dinner which will take place the evening of our session: Thursday 27.04.2023 at 7 pm. We have reserved tables at Café-Restaurant Resselpark, Wiedner Hauptstrasse 1, 1040 Vienna, (www.restaurant-resselpark.at). We would be happy to meet you there.

Convener: Julia Derx | Co-conveners: Margaret Stevenson, Fulvio Boano, Sondra Klitzke, Yakov Pachepsky
Orals
| Thu, 27 Apr, 08:30–12:25 (CEST)
 
Room 2.44
Posters on site
| Attendance Thu, 27 Apr, 14:00–15:45 (CEST)
 
Hall A
Posters virtual
| Thu, 27 Apr, 14:00–15:45 (CEST)
 
vHall HS
Orals |
Thu, 08:30
Thu, 14:00
Thu, 14:00
HS2.3.3 EDI

A large number of pathogens, micropollutants and their transformation products (veterinary and human pharmaceuticals, pesticides and biocides, personal care products, organic pollutants and heavy metals, chlorinated compounds, PFAS) pose a risk for soil, groundwater and surface water. The large diversity of compounds and of their sources makes the quantification of their occurrence in the terrestrial and aquatic environment across space and time a challenging task. Regulatory monitoring programs cover a small selection out of the compound diversity and quantify these selected compounds only at coarse temporal and spatial resolution. Carefully designed monitoring however allows to detect and elucidate processes and to estimate parameters in the aquatic environment. Modelling is a complementary tool to generalize measured data and extrapolate in time and space, which is needed as a basis for scenario analysis and decision making. Mitigation measures can help reduce contamination of ground- and surface water and impacts on water quality and aquatic ecosystems.
This session invites contributions that improve our quantitative understanding of the sources and pathways, mass fluxes, the fate and transport and the mitigation of micropollutants and pathogens in the soil-groundwater-river continuum.

Topics cover:
- Novel sampling and monitoring concepts and devices
- New analytical methods, new detection methods for DNA, pathogens, micropollutants, non-target screening
- Experimental studies to quantify diffuse and point source inputs
- Modelling approaches (including hydrology and sediment transport) to simulate pollutants transport and fate at several spatial and temporal scales
- Modelling tools for decision support and evaluation of mitigation measures, for example
- Methods to evaluate water quality modelling uncertainty, and/or combining data and modeling (data assimilation)
- Novel monitoring approaches such as non-target screening as tools for improving processes understanding and source identification such as industries
- Comparative fate studies on parent compounds and transformation products
- Diffuse sources and (re-)emerging chemicals
- Biogeochemical interactions and impact on micropollutant behaviour
- Setup of mitigation measures and evaluating their effectiveness.

Convener: Matthias Gassmann | Co-conveners: Claire Lauvernet, Felicia Linke, Poornima Nagesh, Shulamit Nussboim
Orals
| Wed, 26 Apr, 10:45–12:30 (CEST)
 
Room 2.44
Posters on site
| Attendance Wed, 26 Apr, 14:00–15:45 (CEST)
 
Hall A
Posters virtual
| Wed, 26 Apr, 14:00–15:45 (CEST)
 
vHall HS
Orals |
Wed, 10:45
Wed, 14:00
Wed, 14:00
HS2.3.4 EDI

Plastic pollution in freshwater systems is a widely recognized global problem with potential environmental risks to water and sediment quality. Furthermore, freshwater plastic pollution is also considered the dominant source of plastic input to the oceans. Despite this, research on plastic pollution has only recently expanded from the marine environment to freshwater systems. Therefore data and knowledge from field studies are still limited in regard to freshwater environments. Sources, quantities, distribution across environmental matrices and ecosystem compartments, and transport mechanisms remain mostly unknown at catchment scale. These knowledge gaps must be addressed to understand the dispersal and eventual fate of plastics in the environment, enabling a better assessment of potential risks as well as development of effective mitigation measures.
In this session, we explore the current state of knowledge and activities on macro-, micro- and nanoplastics in freshwater systems, including aspects such as:
• Plastic in rivers, lakes, urban water systems, floodplains, estuaries, freshwater biota;
• Monitoring and analysis techniques;
• Source to sink investigations, considering quantities and distribution across environmental matrices (water and sediment) and compartments (water surface layer, water column, ice, riverbed, and riverbanks);
• Transport processes of plastics at catchment and local scale;
• The role of river regulation structures, e.g. dams, navigation, flood control, etc., in plastic retention and transport
• Effects of hydrological extremes, e.g. accumulation of plastics during droughts, and short-term export during floods in the catchment;
• Degradation and fragmentation processes, e.g. from macro- to micro- and nanoplastics;
• Modelling approaches for local and/or global river output estimations;
• Legislative/regulatory efforts, such as monitoring programs and measures against plastic pollution in freshwater systems.

Convener: Kryss Waldschläger | Co-conveners: Daniel González-Fernández, Marcel Liedermann, Louise Schreyers, Uwe Schneidewind
Orals
| Mon, 24 Apr, 08:30–12:20 (CEST), 14:00–15:35 (CEST)
 
Room B
Posters on site
| Attendance Mon, 24 Apr, 16:15–18:00 (CEST)
 
Hall A
Posters virtual
| Mon, 24 Apr, 16:15–18:00 (CEST)
 
vHall HS
Orals |
Mon, 08:30
Mon, 16:15
Mon, 16:15
HS2.3.5 EDI | PICO

The application of multi-datasets and multi-objective functions has proven to improve the performance of hydrologic, ecological and water quality models by extracting complementary information from multiple data sources or multiple features of modelled variables. This is useful if more than one variable (runoff and snow cover, sediment or pollutant concentration) or more than one characteristic of the same variable (e.g., flood peaks and recession curves) are of interest. Similarly, a multi-model approach can overcome shortcomings of individual models, while testing a model at multiple scales helps to improve our understanding of the model functioning in relation to catchment processes. Finally, the quantification of multiple uncertainty sources enables the identification of their individual contributions that is critical for uncertainty reduction and environmental decision making.

In this respect, Bayesian approaches have become increasingly popular in hydrological, ecological and water quality modelling thanks to their ability to handle uncertainty comprehensively. This is particularly relevant for environmental decision making, where Bayesian inference enables the consideration of predictions reliability on decisions and relating uncertainties to a decision makers’ risk attitudes and preferences, all while accounting for the uncertainty related to our system understanding and random processes. Graphical Bayesian Belief Networks and related approaches (hierarchical models, ‘hybrid’ mechanistic/data-driven models) are increasingly being used as powerful decision support tools, facilitating stakeholder engagement in the model building process and allowing for adaptive management within an uncertainty framework.

This session gathers contributions that apply one or more of the multi-aspects in hydrological, ecological and water quality studies using diverse methodological approaches. It also aims to review advances and applications in the field of Bayesian water quality modelling and compare the capabilities of different software and procedural choices to consolidate and set new directions, with a specific emphasis on the utility of Bayesian water quality models in supporting decision making.

Convener: Miriam Glendell | Co-conveners: Stefano Basso, David C. Finger, Anna Sikorska-Senoner, Danlu Guo, Daniel Obenour, Ibrahim Alameddine
PICO
| Tue, 25 Apr, 14:00–15:45 (CEST)
 
PICO spot 3b
Tue, 14:00
HS2.3.6 EDI

Long-term climate change, extreme events, and seasonal variations in weather have profound impacts on water quality of rivers, lakes, and reservoirs. This implies a pressing need for tools anticipating the impacts of these environmental changes, and enabling effective water management that safeguards the ecosystem goods and services freshwaters provide. Scientific studies typically omit the impacts of climate on water quality. To tackle this gap, this session looks for research results related to the impact of climate change on water quality. We welcome climate attribution results, studies using data-driven and remote sensing techniques and model projects of climate change from local to global scales. We are also interested in water quality studies within the regional and global water sectors Inter-Sectoral Impact Model Intercomparison Program (ISIMIP).

Co-organized by CL3.2
Convener: Ann van Griensven | Co-conveners: Rafael Marcé, Albert Nkwasa
Orals
| Fri, 28 Apr, 16:15–17:55 (CEST)
 
Room 2.15
Posters on site
| Attendance Fri, 28 Apr, 14:00–15:45 (CEST)
 
Hall A
Orals |
Fri, 16:15
Fri, 14:00

HS2.4 – Hydrologic variability and change at multiple scales

Programme group scientific officers: Björn Guse, Miriam Glendell

HS2.4.1 EDI

In the current context of global change, assessing the impact of climate variability and changes on hydrological systems and water resources is increasingly crucial for society to better adapt to future shifts in water resources, as well as extreme conditions (floods and droughts). However, important sources of uncertainty have often been neglected in projecting climate impacts on hydrological systems, especially uncertainties associated with internal/natural climate variability, whose contribution to near-future changes could be as important as forced anthropogenic climate changes at the regional scales. Internal climate modes of variability (e.g. ENSO, NAO, AMO) and their impact on the continent are not always properly reproduced in the current global climate models, leading to large underestimations of decadal climate and hydro-climatic variability at the global scale. At the same time, hydrological response strongly depends on catchment properties, whose interactions with climate variability are little understood at the decadal timescales. These factors altogether significantly reduce our ability to understand long-term hydrological variability and to improve projections and reconstructions of future and past hydrological changes upon which improvement of adaption scenarios depends.

We welcome abstracts capturing recent insights for understanding past or future impacts of large-scale climate variability on hydrological systems and water resources as well as newly developed projection and reconstruction scenarios. Results from model intercomparison studies are encouraged.

Convener: Bastien Dieppois | Co-conveners: Hayley Fowler, Klaus Haslinger, Jean-Philippe Vidal, Lisa Baulon
Orals
| Mon, 24 Apr, 16:15–17:55 (CEST)
 
Room 2.17
Posters on site
| Attendance Mon, 24 Apr, 14:00–15:45 (CEST)
 
Hall A
Posters virtual
| Mon, 24 Apr, 14:00–15:45 (CEST)
 
vHall HS
Orals |
Mon, 16:15
Mon, 14:00
Mon, 14:00
HS2.4.2

Catchments are immensely complex systems responding to external factors (e.g. changes in climate) on a variety of timescales due to complex interactions and feedbacks between their components. Recent evidence suggests a tendency for existing models and methods to downplay the impact of a given climatic change on streamflow, with major implications for the reliability of such methods for future planning. The poor performance of models suggests they potentially misrepresent (or omit) important catchment processes, process timescales, or interactions between processes. To place hydrology on a solid theoretical footing, the multitude of responses, interactions and feedbacks developing in the critical zone need to be disentangled and understood, and robust hydrological regularities need to be sought. This will improve our ability to make hydrological predictions under different and continuously changing climatic conditions and in places in which we do not have measurements.

We invite submissions on themes such as (but not limited to):
1. Better understanding of hydrological and/or biophysical processes related to long-timescale climate shifts potentially contributing to apparent shifts in hydrologic response;
2. Understanding and quantifying catchment multi-annual “memory”;
3. Understanding and quantifying the drivers of catchment similarity and how that may be used to transfer knowledge in space and time (regionalization);
4. Studies that use, extend, or re-assess known hydrological regularities (e.g. the Budyko hypothesis) for predictions under changing conditions;
5. Data-based analyses and modelling studies aiming to evaluate and/or improve hydrologic simulations under historic climatic variability and change;
6. Efforts to improve the realism of hydrological projections under future climate scenarios;
7. Studies that explore implications of long term-hydrologic change for water availability, risk, or environmental outcomes including interactions with human factors such as landuse changes, evolving water policy, and management intervention.

Convener: Keirnan Fowler | Co-conveners: Sebastian Gnann, Sina Khatami, Margarita Saft, Sandra Pool, Wouter Berghuijs
Orals
| Thu, 27 Apr, 08:30–12:30 (CEST)
 
Room 2.15
Posters on site
| Attendance Thu, 27 Apr, 14:00–15:45 (CEST)
 
Hall A
Orals |
Thu, 08:30
Thu, 14:00
HS2.4.3 EDI

The space-time dynamics of floods are controlled by atmospheric, catchment, riverine and anthropogenic processes, and their interactions. The natural oscillation between flood-rich and flood-poor periods superimposes with anthropogenic climate change and human interventions in river morphology, water retention capacity and land use. In addition, flood risk is further shaped by continuous changes in exposure and vulnerability. In this complex setting, it remains unclear what is the relative contribution of each factor to the space-time dynamics of flood risk. The scope of this session is to report when, where, how (detection) and why (attribution) changes in the space-time dynamics of floods occur. The session particularly welcomes presentations on attributing different drivers to observed changes in flood occurrence. Presentations on the impact of climate variability and change, land use transitions, morphologic changes in streams, and the role of pre-flood catchment conditions in shaping flood risk are welcome as well. Furthermore, contributions on the impact of socio-economic factors, including adaptation and mitigation of past and future risk changes are invited. The session will further stimulate scientific discussion on detection and attribution of flood risk change. Specifically, the following topics are of interest for this session:

- Long-term changes in rainfall patterns and flood occurrence;
- Process-informed extreme value statistics
- Interactions between spatial rainfall and catchment conditions shaping flood patterns
- Detection and attribution of flood hazard changes, such as atmospheric drivers, land use controls, natural water retention measures, and river training;
- Changes in flood exposure: economic and demographic growth, urbanisation of flood prone areas, implementation of multi-scale risk mitigation measures (particularly structural defences);
- Changes in flood vulnerability: changes of economic, societal and technological aspects driving flood vulnerability and private precautionary measures;
- Multi-factor decomposition of observed flood damages combining the hydrological and socio-economic drivers;
- Future flood risk scenarios and the role of adaptation and mitigation strategies.

Convener: Larisa Tarasova | Co-conveners: William Farmer, Nivedita Sairam, Dominik Paprotny, Marco Lompi
Orals
| Wed, 26 Apr, 14:00–15:45 (CEST)
 
Room 2.15
Posters on site
| Attendance Wed, 26 Apr, 08:30–10:15 (CEST)
 
Hall A
Posters virtual
| Wed, 26 Apr, 08:30–10:15 (CEST)
 
vHall HS
Orals |
Wed, 14:00
Wed, 08:30
Wed, 08:30
HS2.4.4 EDI

Hydrological extremes (floods and droughts) have major impacts on society and ecosystems and are posited to increase in frequency and severity with climate change. These events at the two ends of the hydrological spectrum are governed by different processes, which means that they operate on different spatial and temporal scales and that different approaches and indices are needed to characterise them. However, there are also many similarities and links between the two types of extremes that are increasingly being studied.

This session on hydrological extremes aims to bring together the flood and drought communities to learn from the similarities and differences between flood and drought research. We aim to increase the understanding of the governing processes of both types of hydrological extremes, find robust ways of modelling and analysing floods and droughts, assess the influence of global change on hydro-climatic extremes, and study the socio-economic and environmental impacts of both types of extremes.

We welcome submissions that present insightful flood and/or drought research, including case studies, large-sample studies, statistical hydrology, and analysis of flood or drought non-stationarity under the effects of climate-, land cover-, and other anthropogenic changes. Studies that investigate both types of extremes are of particular interest. Submissions from early-career researchers are especially encouraged.

Convener: Ilaria Prosdocimi | Co-conveners: Manuela Irene Brunner, Gregor Laaha, Louise Slater, Anne Van Loon
Orals
| Thu, 27 Apr, 14:00–17:55 (CEST)
 
Room B, Fri, 28 Apr, 08:30–12:25 (CEST)
 
Room B
Posters on site
| Attendance Fri, 28 Apr, 14:00–15:45 (CEST)
 
Hall A
Posters virtual
| Fri, 28 Apr, 14:00–15:45 (CEST)
 
vHall HS
Orals |
Thu, 14:00
Fri, 14:00
Fri, 14:00
HS2.4.6 EDI

With global climate change the frequency and intensity of floods and droughts are increasing in many parts of the world. Floods and droughts cover the entire hydrological spectrum with many similarities and links between the two types of extremes. Approaches, tools and management strategies can be, in some way, applicable to both contradicting extremes. For example, stress testing and storyline approaches have been developed recently to better understand systems under extreme conditions. They explicitly seek to understand the drivers of hydro-climatological extremes and their management implications. Stress tests and storylines can be informed by expert knowledge and used in conjunction with traditional sources of information (such as climate model projections). From a management perspective, coupling of flood risk reduction with drought management is one key to sustainable future water management.
We welcome contributions focusing on the whole strategic and operative management processes of these extreme events. We welcome contributions on the following topics:
- Stress testing approaches to analyse hydrological or climatological extremes
- Modelling experiments for the hydrological hazards, sensitivity and their consequences
- Interdisciplinary approaches for managing scarce water resources and flooding event and to support decision-making (e.g. public water supply, agriculture, industry or environmental water use)
- Stress tests to complement climate change scenarios to identify system vulnerability, hazard risk, tipping points and low-likelihood, high impact events

Convener: Nicole Rudolph-Mohr | Co-conveners: Doris Wendt, Maria Staudinger, Wilson Chan, Benni Thiebes, Lea Augustin, Udo Satzinger
Orals
| Mon, 24 Apr, 10:45–12:25 (CEST)
 
Room 2.17
Posters on site
| Attendance Mon, 24 Apr, 14:00–15:45 (CEST)
 
Hall A
Posters virtual
| Mon, 24 Apr, 14:00–15:45 (CEST)
 
vHall HS
Orals |
Mon, 10:45
Mon, 14:00
Mon, 14:00

HS2.5 – Global and (sub)continental hydrology

Programme group scientific officers: Björn Guse, Miriam Glendell

HS2.5.1 EDI

In the current context of global change, a better understanding of our large-scale hydrology is vital. For example, by increasing our knowledge of the climate system and water cycle, improve assessments of water resources in a changing environment, perform hydrological forecasting, and evaluate the impact of transboundary water resource management.

We invite contributions from across hydrological, atmospheric, and earth surface processes communities. In particular, we welcome abstracts that address advances in:

(i) understanding and predicting the current and future state of our global and large scale water resources;

(ii) the use of global earth observations and in-situ datasets for large-scale hydrology and data assimilation techniques for large-scale hydrological models;

(iii) representation and evaluation of various components of the terrestrial water cycle fluxes and storages (e.g., soil moisture, snow, groundwater, lakes, floodplains, evaporation, river discharge) and atmospheric modeling;

(iv) synthesis studies that combine knowledge gained at smaller scales (e.g. catchments or hillslope) to increase our knowledge on process understanding needed for further development of large-scale hydrological models and to identify large-scale patterns and trends.

Convener: Inge de Graaf | Co-conveners: Ruud van der Ent, David Hannah, Oldrich Rakovec, Shannon Sterling
Orals
| Tue, 25 Apr, 14:00–18:00 (CEST)
 
Room 2.15
Posters on site
| Attendance Tue, 25 Apr, 10:45–12:30 (CEST)
 
Hall A
Orals |
Tue, 14:00
Tue, 10:45
HS2.5.2 EDI | PICO

Since early work on the assessment of global, continental and regional-scale water balance components, many studies use different approaches including global models, as well as data-driven approaches that ingest in-situ or remotely sensed observations or combinations of these. They attempted to quantify water fluxes (e.g. evapotranspiration, streamflow, groundwater recharge) and water storage on the terrestrial part of the Earth, either as total estimates (e.g. from GRACE satellites) or in separate compartments (e.g. water bodies, snow, soil, groundwater). In addition, increasing attention is given to uncertainties that stem from forcing datasets, model structure, parameters and combinations of these. Current estimates in literature show that flux and storage estimates differ considerably due to the methodology and datasets used such that a robust assessment of global, continental and regional water balance components remains challenging.

This session is seeking for contributions focusing on:
i. past/future assessment of water balance components (fluxes and storages) such as precipitation, freshwater fluxes to the oceans (and/or inland sinks), evapotranspiration, groundwater recharge, water use, changes in terrestrial water storage or individual components at global, continental and regional scales,
ii. application of innovative explorative approaches undertaking such assessments – through better use of advanced data driven, statistical approaches and approaches to assimilate (or accommodate) remote sensing datasets for improved estimation of terrestrial water storages/fluxes,
iii. analysis of different sources of uncertainties in estimated water balance components,
iv. examination and attribution of systematic differences in storages/flux estimates between different methodologies, and/or
v. applications/consequences of those findings such as sea level rise and water scarcity.

We encourage submissions using different methodological approaches. Contributions could focus on any of the water balance components or in an integrative manner with focus on global, continental or regional scale applications. Assessments of uncertainty in past/future estimates of water balance components and their implications are highly welcome.

Convener: Hannes Müller Schmied | Co-conveners: Verena Bessenbacher, Rohini Kumar, Robert Reinecke, Maike Schumacher
PICO
| Wed, 26 Apr, 08:30–10:15 (CEST), 10:45–12:30 (CEST)
 
PICO spot 4
Wed, 08:30
HS2.5.4 EDI | PICO

Fast and reliable access to large datasets is the fundament of hydrological research. According to the FAIR principles, sustainable research data should be findable, accessible, interoperable, and reusable in a way that the reproducibility of research experiments is guaranteed. There are several global and regional hydrological databases that are providing harmonized data from different data sources. Thereby they serve as archives, as well as an intermediate between data providers and users. The great value of the databases is shown in the diversity of studies, assessments and data products originating from the provided data, supporting the integrative understanding of the hydrologic cycle. At national and international levels, these databases are also used for the assessment of water resources for policy guidance.
This session aims to show ideas, concepts, efforts and challenges in developing data products as well as demonstrating the benefit of setting up, maintaining networks, and sharing data in order to support the data acquisition ambitions of data centres. This session contributes to IHP IX (2022 - 2029) goal, which puts science, research and management into action for a water secure world. We invite contributions on the following topics:
1. Data services: processing, quality assurance and data discovery
- Methods and challenges of collection and provision of reliable data and metadata to the science community
- Improvement in database services e.g. versioning, dissemination or integration of new features that are relevant to science and research applications
- Development of ontologies and reference datasets showing how metadata can be used to streamline data findability
2. Tools and data-derived products for integrative observation of the hydrologic cycle
- Integrated data products derived from the analysis of existing databases
- Tools and platforms for data exchange and exploration
- Collaborative and interoperable data platforms to create a contextual and unified analysis for better decision making
3. From data to action: role of data services in operational hydrology
- Data-driven studies and projects that aim to support decision making and policy formulation
- Studies showing the contribution of large data services to assessing water resources at national, regional and global scales
- Case studies demonstrating the benefits of operational observation networks to improve local, regional and global hydrological products and services

Co-sponsored by WMO
Convener: Tunde Olarinoye | Co-conveners: Arnaud Sterckx, Claudia Färber, Claudia Ruz Vargas, Stephan Dietrich, Dmytro Lisniak
PICO
| Tue, 25 Apr, 16:15–18:00 (CEST)
 
PICO spot 3b
Tue, 16:15

HS3 – Hydroinformatics

Programme group scientific officer: Emmanouil Varouchakis

HS3.1 EDI

Hydroinformatics has emerged over the last decades to become a recognised and established field of independent research within the hydrological sciences. Hydroinformatics is concerned with the development and hydrological application of mathematical modelling, information technology, systems science and computational intelligence tools. We also have to face the challenges of Big Data: large data sets, both in size and complexity. Methods and technologies for data handling, visualization and knowledge acquisition are more and more often referred to as Data Science.

The aim of this session is to provide an active forum in which to demonstrate and discuss the integration and appropriate application of emergent computational technologies in a hydrological modelling context. Topics of interest are expected to cover a broad spectrum of theoretical and practical activities that would be of interest to hydro-scientists and water-engineers. The main topics will address the following classes of methods and technologies:

* Predictive and analytical models based on the methods of statistics, computational intelligence, machine learning and data science: neural networks, fuzzy systems, genetic programming, cellular automata, chaos theory, etc.
* Methods for the analysis of complex data sets, including remote sensing data: principal and independent component analysis, time series analysis, information theory, etc.
* Specific concepts and methods of Big Data and Data Science
* Optimisation methods associated with heuristic search procedures: various types of genetic and evolutionary algorithms, randomised and adaptive search, etc.
* Applications of systems analysis and optimisation in water resources
* Hybrid modelling involving different types of models both process-based and data-driven, combination of models (multi-models), etc.
* Data assimilation and model reduction in integrated modelling
* Novel methods of analysing model uncertainty and sensitivity
* Software architectures for linking different types of models and data sources

Applications could belong to any area of hydrology or water resources: rainfall-runoff modelling, flow forecasting, sedimentation modelling, analysis of meteorological and hydrologic data sets, linkages between numerical weather prediction and hydrologic models, model calibration, model uncertainty, optimisation of water resources, etc.

Convener: Claudia Bertini | Co-conveners: Amin Elshorbagy, Alessandro Amaranto, Niels Schuetze
Orals
| Mon, 24 Apr, 08:30–12:25 (CEST), 14:00–15:45 (CEST)
 
Room 3.29/30
Posters on site
| Attendance Tue, 25 Apr, 08:30–10:15 (CEST)
 
Hall A
Posters virtual
| Tue, 25 Apr, 08:30–10:15 (CEST)
 
vHall HS
Orals |
Mon, 08:30
Tue, 08:30
Tue, 08:30
HS3.3

Deep Learning has seen accelerated adoption across Hydrology and the broader Earth Sciences. This session highlights the continued integration of deep learning and its many variants into traditional and emerging hydrology-related workflows. Abstracts are solicited related to novel theory development, new methodologies, or practical applications of deep learning in hydrological modeling and process understanding. This might include, but is not limited to, the following:

(1) Development of novel deep learning models or modeling workflows.
(2) Integrating deep learning with process-based models and/or physical understanding.
(3) Improving understanding of the (internal) states/representations of deep learning models.
(4) Understanding the reliability of deep learning, e.g., under non-stationarity.
(5) Deriving scaling relationships or process-related insights with deep learning.
(6) Modeling human behavior and impacts on the hydrological cycle.
(7) Extreme event analysis, detection, and mitigation.
(8) Natural Language Processing in support of models and/or modeling workflows.

Co-organized by ESSI1/NP4
Convener: Frederik Kratzert | Co-conveners: Basil Kraft, Daniel Klotz, Martin Gauch, Shijie Jiang
Orals
| Mon, 24 Apr, 16:15–18:00 (CEST)
 
Room 3.29/30, Tue, 25 Apr, 10:45–12:30 (CEST)
 
Room 3.29/30
Posters on site
| Attendance Tue, 25 Apr, 08:30–10:15 (CEST)
 
Hall A
Posters virtual
| Tue, 25 Apr, 08:30–10:15 (CEST)
 
vHall HS
Orals |
Mon, 16:15
Tue, 08:30
Tue, 08:30
HS3.4 EDI

The ever-increasing amount of data available in the water, earth and environmental sciences requires new approaches and more advanced methods that can quantify and measure the relationships in these data sets but also their uncertainty. Remote sensing, improved and cheaper measurement technology and global databases have steadily improved our information on processes, but require an understanding of the interplay of these data and their dependence.
Clustering and classification algorithms are increasingly and extensively applied in hydrology as the need for pattern recognition and data mining tasks persists with higher availability of large multivariate datasets. While both approaches share the goal of dividing data into convenient groups, classification approaches pre-define such groups (i.e. supervised learning) whereas clustering approaches group data with similar properties without preconceived notions about which groups are expected to be in the data (i.e. unsupervised learning).
Geostatistical methods are commonly applied in the water, earth and environmental sciences to quantify spatial variation, produce interpolated maps with quantified uncertainty and optimize spatial sampling designs. Space-time geostatistics explores the dynamic aspects of environmental processes and characterise the dynamic variation in terms of correlations. Geostatistics can also be combined with machine learning and mechanistic models to improve the modelling of real-world processes and patterns. Such methods are used to model soil properties, produce climate model outputs, simulate hydrological processes, and to better understand and predict uncertainties overall.
Topics covered in this session are:
1) How can clustering/classification approaches increase our understanding and improve our prediction of hydrological processes?
2) To what extent should clustering/classification algorithm settings be finetuned for hydrological applications?
3) How can geostatistical approaches be used for the characterization of uncertainties and error propagation?
4) How can spatial and temporal aspects be combined in geostatistics and how do they improve our understanding of hydrological processes?
5) What is the benefit of integrating machine-learning approaches to geostatistics?

Co-sponsored by IAHS-ICSH
Convener: Svenja Fischer | Co-conveners: Nilay Dogulu, Vanessa A. Godoy, Jaime Gómez-Hernández, Gerard Heuvelink, Alessandra Menafoglio, Georgia Papacharalampous
Orals
| Wed, 26 Apr, 08:30–10:15 (CEST)
 
Room 2.15
Posters on site
| Attendance Wed, 26 Apr, 10:45–12:30 (CEST)
 
Hall A
Posters virtual
| Wed, 26 Apr, 10:45–12:30 (CEST)
 
vHall HS
Orals |
Wed, 08:30
Wed, 10:45
Wed, 10:45
HS3.5

Proper characterization of uncertainty remains a major research and operational challenge in Environmental Sciences, and is inherent to many aspects of modelling impacting model structure development; parameter estimation; an adequate representation of the data (inputs data and data used to evaluate the models); initial and boundary conditions; and hypothesis testing. To address this challenge, methods for a) uncertainty analysis (UA) that seek to identify, quantify and reduce the different sources of uncertainty, as well as propagating them through a system/model, and b) the closely-related methods for sensitivity analysis (SA) that evaluate the role and significance of uncertain factors (in the functioning of systems/models), have proved to be very helpful.

This session invites contributions that discuss advances, both in theory and/or application, in methods for SA/UA applicable to all Earth and Environmental Systems Models (EESMs), which embraces all areas of hydrology, such as classical hydrology, subsurface hydrology and soil science.

Topics of interest include (but are not limited to):
1) Novel methods for effective characterization of sensitivity and uncertainty
2) Analyses of over-parameterised models enabled by AI/ML techniques
3) Single- versus multi-criteria SA/UA
4) Novel approaches for parameter estimation, data inversion and data assimilation
5) Novel methods for spatial and temporal evaluation/analysis of models
6) The role of information and error on SA/UA (e.g., input/output data error, model structure error, parametric error, regionalization error in environments with no data etc.)
7) The role of SA in evaluating model consistency and reliability
8) Novel approaches and benchmarking efforts for parameter estimation
9) Improving the computational efficiency of SA/UA (efficient sampling, surrogate modelling, parallel computing, model pre-emption, model ensembles, etc.)

Co-organized by ESSI1/NP5
Convener: Juliane Mai | Co-conveners: Cristina Prieto, Hoshin Gupta, Uwe Ehret, Thomas Wöhling, Anneli Guthke, Wolfgang Nowak, Tobias Karl David Weber
Orals
| Tue, 25 Apr, 08:30–10:15 (CEST)
 
Room 3.29/30
Posters on site
| Attendance Tue, 25 Apr, 10:45–12:30 (CEST)
 
Hall A
Posters virtual
| Tue, 25 Apr, 10:45–12:30 (CEST)
 
vHall HS
Orals |
Tue, 08:30
Tue, 10:45
Tue, 10:45
HS3.8 EDI

Understanding and further predicting the incidence and severity of hydrometeorological hazards, such as floods, droughts, land slides and storm surges, are a key measure for risk mitigation, building resilience and supporting sustainable socio-economic development. This has become more important when our societies are facing climate change alongside the pressures induced by population growth, urbanisation and land use change. While traditionally physically based modelling approaches remain as a major tool base for studying the prognostics and diagnostics of these hazards, the ever high level of complexity of the underlying process and the interaction between the nature and human interface, and more importantly, the increasingly availability of new observations datasets, have necessitated many applications of tools and methods in the domain of hydroinformatics, such as data-driven modelling, machine learning, data fusion, alongside conventional sptial-temporal statistical analysis tools.

The aim of this session is to provide a platform and an opportunity to demonstrate and discuss innovative and recent advances of hydroinformatics applications and methodologies for analysing and producing diagnostics and prognostics of hydrometeorological hazards. It also aims to provide a forum for researchers from a variety of fields to effectively communicate their research. Submissions related to the following non-exhaustive topics are particularly welcome.
1. Spatial and temporal analysis of the incidence and distribution of hydrometeorological hazards;
2. Machine learning (e.g., CNN, GNN) in analysing and predicting hydrometeorological hazards.
3. Uncertainty quantification of coupled models, such as atmospheric-hydrological/hydrodynamic in the applications of diagnosing and predicting hydrometeorological hazards;
4. Development in quantitative methods for analysing compound hydrometeorological hazards;
5. Data assimilation and fusion of heterogeneous observations in hazards modelling, e.g., satellite-borne sensors and rainfall radars;
6. HPC (GPU) based algorithms and practice dealing with very large size datasets in prognostic modelling of hydrometeorological hazards, e.g., climate projections.
7. Modelling interface with human interactions in decision making, mitigation and impact studies.

Co-organized by GI2/NH1
Convener: Yunqing Xuan | Co-conveners: Antonio Annis, Gerald A Corzo P, Dehua Zhu, Victor Coelho, Thanh Bui
Orals
| Fri, 28 Apr, 08:30–10:15 (CEST)
 
Room 3.29/30
Posters on site
| Attendance Fri, 28 Apr, 10:45–12:30 (CEST)
 
Hall A
Posters virtual
| Fri, 28 Apr, 10:45–12:30 (CEST)
 
vHall HS
Orals |
Fri, 08:30
Fri, 10:45
Fri, 10:45
PGM7
Sub-programme group meeting HS3 (by invitation only)
Convener: Emmanouil Varouchakis
Wed, 26 Apr, 14:00–16:00 (CEST)
 
Room 2.32
Wed, 14:00

HS4 – Hydrological forecasting

Programme group scientific officer: Ilias Pechlivanidis

HS4.1 EDI | PICO

Flash floods triggered by heavy precipitation in small- to medium-sized catchments often cause catastrophic damages, which are largely explained by the very short response times and high unit peak discharge. Often, they are also associated with geomorphic processes such as erosion, sediment transport, debris flows and shallow landslides. The anticipation of such events is crucial for efficient crisis management. However, their predictability is still affected by large uncertainties, due to the fast evolution of triggering rainfall events, the lack of appropriate observations, the changes due to a warming climate, the high variability and non-linearity in the physical processes, the high variability of societal exposure, and the complexity of societal vulnerability.
This session aims to illustrate current advances in monitoring, modeling, and short-range forecasting of flash floods and associated geomorphic processes, including their societal impacts.
Contributions related to recent and significant floods are particularly encouraged.
This session aims to specifically cover the following scientific themes:
- Monitoring and nowcasting of heavy precipitation events based on radar and remote-sensing systems (satellite, lightning, ..), to complement rain gauge networks
- Short-range (0-6h) heavy precipitation forecasting based on NWP models and/or ML-based approaches, with a focus on seamless forecasting strategies, and ensemble or probabilistic strategies for the representation of uncertainties.
- Understanding and modeling of flash floods, rainfall-induced hydro-geomorphic processes and their cascading effects, at appropriate space-time scales.
- Development of integrated hydro-meteorological forecasting chains and new modeling approaches for predicting flash floods and/or rainfall-induced geomorphic hazards in gauged and ungauged basins.
- New direct and indirect (proxy data) observation techniques and strategies for the observation or monitoring of hydrological reactions and geomorphic processes, and the validation of forecasting approaches.
- Development of impact-based modeling and forecasting approaches, including inundation mapping and/or specific impacts modeling approaches for the representation of societal vulnerability.

Co-organized by NH1
Convener: Clàudia Abancó | Co-conveners: Olivier Payrastre, Jonathan Gourley, Pierre Javelle, Massimiliano Zappa
PICO
| Fri, 28 Apr, 10:45–12:30 (CEST)
 
PICO spot 4
Fri, 10:45
HS4.2 EDI

Drought and water scarcity affect many regions of the Earth, including areas generally considered water rich. A prime example is the severe 2022 European drought, caused by a widespread and persistent lack of precipitation combined with a sequence of heatwaves from May onwards. The projected increase in the severity and frequency of droughts may lead to an increase of water scarcity, particularly in regions that are already water-stressed, and where overexploitation of available water resources can exacerbate the consequences droughts have. In the worst case, this can lead to long-term environmental and socio-economic impacts. Drought Monitoring and Forecasting are recognized as one of three pillars of effective drought management, and it is, therefore, necessary to improve both monitoring and sub-seasonal to seasonal forecasting for droughts and water availability, and to develop innovative indicators and methodologies that translate the data and information to underpin effective drought early warning and risk management.

This session addresses statistical, remote sensing and physically-based techniques, aimed at monitoring, modelling and forecasting hydro-meteorological variables relevant to drought and water scarcity. These include, but are not limited to: precipitation, snow cover, soil moisture, streamflow, groundwater levels, and extreme temperatures. The development and implementation of drought indicators meaningful to decision-making processes, and ways of presenting and integrating these with the needs and knowledges of water managers, policymakers and other stakeholders, are further issues that are addressed. Contributions focusing on the interrelationship and feedbacks between drought and water scarcity, hydrological impacts, and society are also welcomed. The session aims to bring together scientists, practitioners and stakeholders in the fields of hydrology and meteorology, as well as in the fields of water resources and drought risk management. Particularly welcome are applications and real-world case studies, both from regions that have long been exposed to significant water stress, as well as regions that are increasingly experiencing water shortages due to drought and where drought warning, supported by state-of-the-art monitoring and forecasting of water resources availability, is likely to become more important in the future.

Co-organized by NH1
Convener: Micha Werner | Co-conveners: Brunella Bonaccorso, Yonca Cavus, Carmelo Cammalleri, Athanasios Loukas
Orals
| Wed, 26 Apr, 14:00–18:00 (CEST)
 
Room B, Thu, 27 Apr, 08:30–12:30 (CEST)
 
Room B
Posters on site
| Attendance Thu, 27 Apr, 14:00–15:45 (CEST)
 
Hall A
Posters virtual
| Thu, 27 Apr, 14:00–15:45 (CEST)
 
vHall HS
Orals |
Wed, 14:00
Thu, 14:00
Thu, 14:00
HS4.3 EDI

This session brings together scientists, forecasters, practitioners and stakeholders interested in exploring the use of ensemble hydro-meteorological forecast and data assimilation techniques in hydrological applications: e.g., flood control and warning, reservoir operation for hydropower and water supply, transportation, and agricultural management. It will address the understanding of sources of predictability and quantification and reduction of predictive uncertainty of hydrological extremes in deterministic and ensemble hydrological forecasting. Uncertainty estimation in operational forecasting systems is becoming a more common practice. However, a significant research challenge and central interest of this session is to understand the sources of predictability and development of approaches, methods and techniques to enhance predictability (e.g. accuracy, reliability etc.) and quantify and reduce predictive uncertainty in general. Ensemble data assimilation, NWP preprocessing, multi-model approaches or hydrological postprocessing can provide important ways of improving the quality (e.g. accuracy, reliability) and increasing the value (e.g. impact, usability) of deterministic and ensemble hydrological forecasts. The models involved with the methods for predictive uncertainty, data assimilation, post-processing and decision-making may include machine learning models, ANNs, catchment models, runoff routing models, groundwater models, coupled meteorological-hydrological models as well as combinations (multimodel) of these. Demonstrations of the sources of predictability and subsequent quantification and reduction in predictive uncertainty at different scales through improved representation of model process (physics, parameterization, numerical solution, data support and calibration) and error, forcing and initial state are of special interest to the session.

Co-organized by NH1
Convener: Ruben Imhoff | Co-conveners: Trine Jahr Hegdahl, Albrecht Weerts, Annie Yuan-Yuan Chang, Fredrik Wetterhall
Orals
| Mon, 24 Apr, 14:00–17:55 (CEST)
 
Room 2.31
Posters on site
| Attendance Mon, 24 Apr, 10:45–12:30 (CEST)
 
Hall A
Orals |
Mon, 14:00
Mon, 10:45
HS4.4 EDI | PICO

This interactive session aims to bridge the gap between science and practice in operational forecasting for different climate and water-related natural hazards including their dynamics and interdependencies. Operational (early) warning systems are the result of progress and innovations in the science of forecasting. New opportunities have risen in physically based modelling, coupling meteorological and hydrological forecasts, ensemble forecasting, impact-based forecasting and real time control. Often, the sharing of knowledge and experience about developments are limited to the particular field (e.g. flood forecasting or landslide warnings) for which the operational system is used. Increasingly, humanitarian, disaster risk management and climate adaptation practitioners are using forecasts and warning information to enable anticipatory/ early action that saves lives and livelihoods. It is important to understand their needs, their decision-making process and facilitate their involvement in forecasting and warning design and implementation (co-development).

The focus of this session will be on bringing the expertise from different fields together as well as exploring differences, similarities, problems and solutions between forecasting systems for varying hazards including climate emergency. Real-world case studies of system implementations - configured at local, regional, national, continental and global scales - will be presented, including trans-boundary issues. An operational warning system can include, for example, monitoring of data, analysing data, making and visualizing forecasts, giving warning signals and suggesting early action and response measures.

Contributions are welcome from both scientists and practitioners who are involved in developing and using operational forecasting and/or management systems for climate and water-related hazards, such as flood, drought, tsunami, landslide, hurricane, hydropower, pollution etc. We also welcome contributions from early career practitioners and scientists.

Convener: Céline Cattoën-Gilbert | Co-conveners: Michael Cranston, Lydia Cumiskey, Ilias Pechlivanidis
PICO
| Fri, 28 Apr, 14:00–15:45 (CEST)
 
PICO spot 4
Fri, 14:00
HS4.5 EDI | PICO

The Sendai Framework for Disaster Risk Reduction (SFDRR) and its seventh global target recognizes that increased efforts are required to develop risk-informed and impact-based multi-hazard early warning systems. Despite significant advances in disaster forecasting and warning technology, it remains challenging to produce useful forecasts and warnings that are understood and used to trigger early actions. Overcoming these challenges requires understanding of the reliability of forecast tools and implementation barriers in combination with the development of new risk-informed processes. It also requires a commitment to create and share risk and impact data and to co-produce impact-based forecasting models and services. To deal with the problem of coming into action in response to imperfect forecasts, novel science-based concepts have recently emerged. As an example, Forecast-based Financing and Impact-based Multi-Hazard Early Warning Systems are currently being implemented operationally by both governmental and non-governmental organisations in several countries as a result of increasing international effort by several organizations such as the WMO, World Bank, IFRC and UNDRR to reduce disaster losses and ensuring reaching the objectives of SFDRR. This session aims to showcase lessons learnt and best practices on impact-based multi-hazards early warning system from the perspective of both the knowledge producers and users. It presents novel methods to translate forecast of various climate-related and geohazards into an impact-based forecast. The session addresses the role of humanitarian agencies, scientists and communities at risk in creating standard operating procedures for economically feasible actions and reflects on the influence of forecast uncertainty across different time scales in decision-making. Moreover, it provides an overview of state-of-the-art methods, such as using Artificial Intelligence, big data and space applications, and presents innovative ways of addressing the difficulties in implementing forecast-based actions. We invite submissions on the development and use of operational impact-based forecast systems for early action; developing cost-efficient portfolios of early actions for climate/geo-related impact preparedness such as cash-transfer for droughts, weather-based insurance for floods; assessments on the types and costs of possible forecast-based disaster risk management actions; practical applications of impact forecasts.

Co-organized by NH1
Convener: Marc van den Homberg | Co-conveners: Gabriela Guimarães Nobre, Andrea Ficchì, Maurine Ambani, Annegien Tijssen
PICO
| Fri, 28 Apr, 16:15–18:00 (CEST)
 
PICO spot 4
Fri, 16:15
HS4.6 EDI

Many water sectors are already having to cope with extreme weather events, climate variability and change. In this context, predictions on sub-seasonal and seasonal to decadal timescales (i.e. horizons ranging from months to a decade) are an essential part of hydrological forecasting. By providing science-based and user-specific information on potential impacts of variations in water availability, operational hydro-meteorological and climate services are invaluable to a range of water sectors such as water resources management, drinking water supply, transport, energy production, agriculture, disaster risk reduction, forestry, health, insurance, tourism and infrastructure.

This session aims to cover the research and operational advances in science as well as applied climate and hydro-meteorological forecasting, and their implications on predicting water availability and demand for servicing water sectors. It welcomes, without being restricted to, presentations on:
- Technical challenges in making use of forecast or projected climate data for hydrological modelling (e.g. downscaling, bias correction, temporal disaggregation, spatial interpolation),
- Lessons learnt from forecasting and managing present day extreme conditions,
- Improved representations of hydrological extremes in a future climate,
- Seamless forecasting, including downscaling and statistical post- and pre-processing,
- Propagation of uncertainty through the forecasting chain for impact assessment and decision-making,
- Operational hydro-meteorological forecasting systems, hydro-climate services, and tools,
- Effective methods to link stakeholder interests and scientific expertise (e.g. service co-generation).

The session will bring together research scientists and operational managers in the fields of hydrology, water use, meteorology and climate, with the aim of sharing experiences and initiating discussions on this momentous topic. We encourage presentations that utilise the WWRP/WCRP subseasonal-to-seasonal (S2S) prediction project database, hydrological relevant applications, and S2S forecasting and predictions within the Water-Food-Energy Nexus.

Convener: Tim aus der Beek | Co-conveners: Louise Crochemore, Christopher White, Louise Arnal, Andrew Schepen
Orals
| Tue, 25 Apr, 16:15–18:00 (CEST)
 
Room 2.17
Posters on site
| Attendance Tue, 25 Apr, 14:00–15:45 (CEST)
 
Hall A
Posters virtual
| Tue, 25 Apr, 14:00–15:45 (CEST)
 
vHall HS
Orals |
Tue, 16:15
Tue, 14:00
Tue, 14:00
HS4.7 EDI

The occurrences of extreme flood events have increased globally in the last two decades as noted by recent rare and catastrophic flooding events in Germany, Belgium, China, the USA and India during the monsoon season. Advanced innovative methods and conceptual improvements in existing approaches are required to address the modelling and management of the spatial and temporal complexity of extreme floods. The observed increase in frequency and severity of events can be predicted by joint probabilistic analyses of precipitation and river flow extremes. Evidence from the rare extreme events indicates that assumptions of Holocene climate stationarity is not applicable anymore for hydrologic analysis and design. Prediction of region-scale and localized extreme events well ahead of time is a real challenge. New design protocols have required that account for uncertainties in future meteorological events and provide flexibility in the design and operation of infrastructure to minimize the consequences of extreme events. Understanding the mechanisms of extreme precipitation and its hydro meteorological connection with flooding, especially under the circumstances of global climate change, is critical for flood prevention and mitigation. This session invites research papers that focus on scientific and technological developments in extreme precipitation estimation, flood monitoring, and flood modelling, or ensemble flood modelling with the end goal of improving flood prevention and mitigation. The research studies discussing advancements in situ measurement and remote sensing of extreme precipitation, advances in rainfall-runoff modelling in the data scarce region, statistical and hydrological analysis of extreme precipitation and flood, analysis of numerical weather predictions (NWPs) of hydrometeorological forecasts, flood forecasting and warning, and impact assessment of climate change and land use/cover change on flood are also invited. Research works that emphasize and discuss case studies on modelling extreme events are also expected to gain and learn from insights gained from flood disaster modelling and management. Studies involving hydrologic and hydraulic modelling in data scarce regions will also be welcome in this session. The session also encourages the studies and discussion of the advantages of probabilistic approach of the ensemble flood forecasting over the traditional deterministic approach of flood forecasting.

Convener: Sanjaykumar Yadav | Co-conveners: Ramesh Teegavarapu, Biswa Bhattacharya, Rashmi Yadav, Ayushi Panchal
Orals
| Tue, 25 Apr, 08:30–10:15 (CEST)
 
Room 2.17
Posters on site
| Attendance Tue, 25 Apr, 14:00–15:45 (CEST)
 
Hall A
Posters virtual
| Tue, 25 Apr, 14:00–15:45 (CEST)
 
vHall HS
Orals |
Tue, 08:30
Tue, 14:00
Tue, 14:00
HS4.8 EDI

To alleviate the adverse effects of urban floods, non-structural approaches especially early flood warning systems have attracted more attention in recent decades due mainly to the time saving for development and operation, cost-effectiveness and no extra space or facilities required for new construction or physical modification. Development of real-time urban flood forecasting (RTUFF) systems has been more popular in the early flood warning systems. However, unique features of urban floods can be used to determine the requirements for spatial and temporal data, types of flood modelling, the inclusion of potential flood impacts and key performance indicators.
The data used for RTUFF can be taken from various sources to which the access is sometimes limited or challenging. In addition, RTUFF typically requires modelling of distributed systems with high spatial and temporal complexity, which is overstressed by spatial limitation as well as short preparation time. These restrictions may hinder developing RTUFF modelling, assessing their performance and applications. A significant breakthrough has been made over the recent decades to overcome some major challenges in main steps of RTUFF as "data collection and preparation", "model development", "performance assessment" and "applications".

This session aims to address the challenges and advances through state-of-the-art techniques and new developments and frameworks, equipment, software tools and hardware facilities, integration of existing methods and modelling to contemporary algorithms, digital innovations and applications to new pilot studies.

This session will focus on new advances, modelling and applications of RTUFF related to- but not limited- the following research areas:
• Hydrological data collection, analysis, imputation, assimilation and fusion taken from various data sources including ground stations, radar stations, remote sensing (aerial/satellite)
• RTUFF modelling including physically/processed-based, conceptually-based, experimentally-based or data-driven modelling such as artificial Intelligence (AI), machine learning (ML)
• Application RTUFF for flood alleviation or engagement with the public and authorities, such as early warning and early action systems, digital innovations such as digital twins (DT), or integrated with digital technologies such as augmented reality (AR) and virtual reality (VR).

Convener: Kourosh Behzadian | Co-conveners: Luiza Campos, Saman Razavi, Stanisław Wacławek, Mohamad Gheibi
Orals
| Tue, 25 Apr, 10:45–12:30 (CEST)
 
Room 2.17
Posters on site
| Attendance Tue, 25 Apr, 14:00–15:45 (CEST)
 
Hall A
Posters virtual
| Tue, 25 Apr, 14:00–15:45 (CEST)
 
vHall HS
Orals |
Tue, 10:45
Tue, 14:00
Tue, 14:00
PGM4
Sub-programme group meeting HS4 (by invitation only)
Convener: Ilias Pechlivanidis
Wed, 26 Apr, 12:30–13:45 (CEST)
 
Room 2.32
Wed, 12:30

HS5 – Water policy, management and control

Programme group scientific officer: Andrea Cominola

HS5.1 EDI

While water plays a critical role in sustaining human health, food security, energy production and ecosystem services, factors such as population growth, climate and land use change increasingly threaten water quality and quantity. The complexity of water resource systems requires methods integrating technical, economic, environmental, legal, and social issues within frameworks that help design and test efficient and sustainable water management strategies to meet the water challenges of the 21st century. System analyses adopt practical, problem-oriented approaches for addressing the most challenging water issues of our times. These include competing objectives for water, multi-stakeholder planning and negotiation processes, multi-sector linkages, and dynamic adaptation under uncertainty. The session will feature state-of-the-art contributions to system water management solutions for an uncertain environment.

Convener: Manuel Pulido-Velazquez | Co-conveners: Jazmin Zatarain Salazar, Julien Harou, Jan Kwakkel, Marta Zaniolo
Orals
| Tue, 25 Apr, 08:30–10:15 (CEST)
 
Room 2.15
Posters on site
| Attendance Tue, 25 Apr, 16:15–18:00 (CEST)
 
Hall A
Posters virtual
| Tue, 25 Apr, 16:15–18:00 (CEST)
 
vHall HS
Orals |
Tue, 08:30
Tue, 16:15
Tue, 16:15
HS5.3

Under the projected climate conditions for many regions of the world, precipitation variability and the occurrence and severity of drought are likely to increase. Consequently, improved planning and strategies for recovering, distributing, and utilizing water resources required for domestic and public water use, power generation, and agriculture will be crucial for ameliorating socioeconomic costs incurred during periods of water scarcity while maintaining environmental flow requirements. Because irrigation accounts for 70% of global freshwater withdrawals, future allocations of water resources to water providers and users within this sector will necessitate improvements in conveyance efficiencies and crop water productivities with involvement of irrigators and growers. As water demand and scarcity increases, the rational and sustainable management of water for food and energy will require involvement of all stakeholders to balance the needs of people, the environment, and the economy. Planning and responding appropriately to water use restrictions and precipitation shortfalls under drought within the agricultural sector will be crucial for lessening the detrimental societal impacts and ameliorating risk for all water users. This session invites contributions that present strategies, tools, and technologies that have the potential to improve crop water productivity, reduce water waste in agriculture, and optimize allocation of water resources among users under water scarce conditions. Specific topics may include:
• Use of remotely and proximally sensed data and hydrological models to manage irrigation and improve water productivity and increase water savings in crop production.
• Evaluation of frameworks and implementation of water distribution strategies and models in municipalities, watersheds, and water districts.
• Hydrological-climate linked processes in semi-arid regions and associated periods of water scarcity and drought indicators necessary for planning water allocations.
• Use of reclaimed water and waste streams and other innovative water management strategies
• Analysis of trends in surface and groundwater availability and quality and associated environmental effects caused by utilization and management.
• Analysis of policies that support improved water productivity in agriculture and that ensure equitable distribution of water resources among sectors.

Convener: Robert Schwartz | Co-conveners: Gabriella Balacco, Alfonso Domínguez, Andreas Panagopoulos, Leonor Rodriguez-Sinobas, Eufemia Tarantino, Juan F. Velasco Muñoz
Orals
| Tue, 25 Apr, 10:45–12:30 (CEST)
 
Room 2.15
Posters on site
| Attendance Tue, 25 Apr, 16:15–18:00 (CEST)
 
Hall A
Posters virtual
| Tue, 25 Apr, 16:15–18:00 (CEST)
 
vHall HS
Orals |
Tue, 10:45
Tue, 16:15
Tue, 16:15
HS5.5 EDI

Water sustains societies, economies and ecosystem services globally. Increasing water demands driven by ongoing socioeconomic development, coupled with shifts in water availability due to climate change and variability and land use change, are increasing competition and conflict over access to and use of freshwater resources in many regions around the world. To address these challenges, integrative approaches to water management and policy are required to balance and manage trade-offs between social, economic and environmental uses of water. In addition, there is an emerging need for adaptive and flexible solutions capable of updating decisions to newly available information, often issued in the form of weather or streamflow forecasts or extracted from observational data collected via pervasive sensor networks, remote sensing, cyberinfrastructure, or crowdsourcing. This session will provide a forum for showcasing novel and emerging research at the intersection of agricultural production, energy security, water supply, economic development, and environmental conservation. In particular, we encourage contributions to the session that: (i) identify knowledge gaps and improvements to understanding about the critical interconnections, feedbacks, and risks between system components, (ii) highlight development of new methods or tools for evaluating and monitoring trade-offs and performance in water allocation and management between different users and sectors, (iii) evaluate alternative technological, policy, and/or governance interventions to address water-food-energy-environment system challenges in different locations and at various scales (local, regional, and/or global), and (iv) advance the use of multi-sectoral forecasts combined with data analytics machine learning algorithms for informing the real-time control of water systems. We welcome real-world examples on the successful application of these methods to facilitate integrated planning and management of water-food-energy-environment systems.

Convener: Taher Kahil | Co-conveners: Timothy Foster, Hector Macian-Sorribes, Andrea Momblanch, Stefano Galelli, Charles Rougé, Andrea Castelletti
Orals
| Thu, 27 Apr, 08:30–12:30 (CEST), 14:00–15:45 (CEST)
 
Room 3.29/30
Posters on site
| Attendance Thu, 27 Apr, 16:15–18:00 (CEST)
 
Hall A
Posters virtual
| Thu, 27 Apr, 16:15–18:00 (CEST)
 
vHall HS
Orals |
Thu, 08:30
Thu, 16:15
Thu, 16:15
HS5.6 EDI

Hydropower is a mature and cost-competitive renewable energy source, which helps stabilize fluctuations between energy demand and supply. The structural and operational differences between hydropower systems and renewable energy farms may require changes in the way hydropower facilities operate to provide balancing, reserves or energy storage. Yet, non-power constraints on hydropower systems, such as water supply, flood control, conservation, recreation, navigation may affect the ability of hydropower to adjust and support the integration of renewables. Holistic approaches that may span a range of spatial and temporal scales are needed to evaluate hydropower opportunities and support a successful integration maintaining a resilient and reliable power grid. In particular, there is a need to better understand and predict spatio-temporal dynamics between climate, hydrology, and power systems.

This session solicits academics and practitioners contributions that explore the use of hydropower and storage technologies to support the transition to low-carbon electricity systems. We specifically encourage interdisciplinary teams of hydrologists, meteorologists, power system engineers, and economists to present on case studies and discuss collaboration with environmental and energy policymakers.

Questions of interest include:
- Prediction of water availability and storage capabilities for hydropower production
- Prediction and quantification of the space-time dependences and the positive/negative feedbacks between wind/solar energies, water cycle and hydropower
- Energy, land use and water supply interactions during transitions
- Policy requirements or climate strategies needed to manage and mitigate risks in the transition
- Energy production impacts on ecosystems such as hydropeaking effects on natural flow regimes.

This session has the support of the European Energy Research Alliance (EERA) that established the joint program “Hydropower” to facilitate research, promote hydropower and enable sustainable electricity production. Further information can be found here:
https://www.eera-set.eu/eera-joint-programmes-jps/list-of-jps/hydropower/

Convener: Benoit Hingray | Co-conveners: Elena Pummer, David C. Finger, Nathalie Voisin, Baptiste François
Posters on site
| Attendance Thu, 27 Apr, 16:15–18:00 (CEST)
 
Hall A
Posters virtual
| Thu, 27 Apr, 16:15–18:00 (CEST)
 
vHall HS
Thu, 16:15
Thu, 16:15
HS5.7 EDI

The Water, Energy, Food, and Environment (WEFE) components of the Nexus are in rapid transition, driven by forces such as socioeconomic, demographic, climatic, and technological changes as well as policies intended to meet Sustainable Development Goals (SDGs) and other societal priorities. These dynamics weave across spatial scales, connecting global markets and trends to regional and sub-regional economies. At the same time, resources are often locally managed under varying administrative jurisdictions closely tied to inherent characteristics of each commodity such as river basins for water, grid regions for electricity and land-use boundaries for agriculture. Local decisions, in turn, are critical in deciding the success and consequences of national and global policies, as well as their impact. Thus, there is a growing need to better characterise the Nexus to guide robust and consistent multi-scale decision-making under a changing climate. One of the hardest challenges in science is turning research into practice, having a concrete impact on policies and operations, and engaging stakeholders in a way that they truly adopt the proposed solutions.

This session aims to address these challenges at different scales (local to regional) in nascent infrastructure planning and sectoral transitions, with a large focus on solutions generated by European research projects and other international experiences. Contributions can include work dealing with applications of existing nexus approaches in sustainability assessment, climate-resilient and adaptive nexus management, and design of future developments, as well as new methods and nature-based solutions that address existing gaps related to incorporating processes at different scales, bridging data gaps, improving optimisation approaches, or dealing with transboundary issues and Nexus governance. Success cases of impactful research on local, national, and/or international policies and decisions are also welcome.

Co-organized by ERE1
Convener: Edo Abraham | Co-conveners: Elena Matta, Zarrar Khan, Chrysi Laspidou, Yue Qin, Aitor Corchero Rodriguez, Edward A. Byers
Orals
| Wed, 26 Apr, 14:00–18:00 (CEST)
 
Room 3.29/30
Posters on site
| Attendance Thu, 27 Apr, 16:15–18:00 (CEST)
 
Hall A
Posters virtual
| Thu, 27 Apr, 16:15–18:00 (CEST)
 
vHall HS
Orals |
Wed, 14:00
Thu, 16:15
Thu, 16:15
HS5.9 EDI

Land use and land cover (LULC) changes are one of the main drivers of change to hydrological processes, altering the ecosystem dynamics and impacting the production of water-related ecosystem services (WES) with different levels of societal impact. These LULC changes can emerge directly from anthropogenic interventions, or indirectly as the result of climate change. There is an extensive body of research investigating the impact of LULC changes on streamflow dynamics, but less so on other elements of the hydrological cycle (e.g. groundwater quantity and quality, evaporation and transpiration, soil moisture and rainfall interception) and associated ecosystem services. Changes to these elements can possibly lead to non-local and non-linear effects on ecosystem services, which need to be understood to inform effective and equitable water resource management.

This session welcomes studies that address the impacts of LULC changes on all water resources and hydrological processes, and associated WES, such as flood regulation, moisture recycling, temperature regulation, and food provisioning. Furthermore, beyond impact assessments, we welcome scholars that address policy options to mitigate harmful impacts on WES. More specifically, we welcome studies including, but not limited to:

• Advances in the quantification of hydrological impacts of LULC changes through modelling and experimental data, including water quantity and quality
• Disentanglement of LULC change impacts on all water resources (blue surface and groundwater, green water, atmospheric water) and associated WES
• Analysis and evaluation of policy interventions to mitigate impacts, such as ecological restoration schemes and nature-based solutions, with respect to their effectiveness and feasibility to protect and/or restore WES
• Advances in (interdisciplinary) methodologies for identifying WES, as well as studies highlighting spatial assessments of WES

Convener: Giulio Castelli | Co-conveners: Sofie te Wierik, Tommaso Pacetti
Orals
| Wed, 26 Apr, 10:45–12:30 (CEST)
 
Room 2.31
Posters on site
| Attendance Wed, 26 Apr, 16:15–18:00 (CEST)
 
Hall A
Posters virtual
| Wed, 26 Apr, 16:15–18:00 (CEST)
 
vHall HS
Orals |
Wed, 10:45
Wed, 16:15
Wed, 16:15
HS5.11 EDI

The field of socio-hydrology and hydro-social research emerged as an attempt to better understand the dynamic interactions and feedbacks within diverse coupled human-water systems and its implications for the assessment and management of water resources and associated risks.
An integrated perspective offers novel entry points for a more fertile engagement between hydrological and social sciences across different scales ranging from the plot level to entire watersheds. Its interdisciplinary nature encompasses (and integrates) various methodological approaches, epistemologies, and disciplines.
We welcome contributions from researchers from social and natural sciences who are keen to look beyond their research perspective and who like to discuss their research findings in a broader context of coupled human water systems. Papers should 1) contribute to the understanding of complex human-water interactions and their management, 2) discuss the benefits and shortcomings of different inter- and disciplinary perspectives based on empirical, conceptual or model-based research; and 3) shed light on the added value of socio-hydrological modelling and hydro-social analysis for water resources management, risk management and adaptation design.

Convener: Britta Höllermann | Co-conveners: Mohammad(Mo) Ghoreishi, Melanie Rohse, Marlies H Barendrecht, Giuliano Di Baldassarre
Orals
| Tue, 25 Apr, 14:00–15:45 (CEST)
 
Room 2.17
Posters on site
| Attendance Tue, 25 Apr, 16:15–18:00 (CEST)
 
Hall A
Posters virtual
| Tue, 25 Apr, 16:15–18:00 (CEST)
 
vHall HS
Orals |
Tue, 14:00
Tue, 16:15
Tue, 16:15
HS5.12 EDI

Water utilities and municipalities must embrace technological innovation to address the exacerbating challenges and uncertainties posed by climate change, urbanization, and population growth. The progressive transformation of urban water infrastructure and the adoption of digital solutions for water resources are opening new opportunities for the design, planning, and management of more sustainable and resilient urban water networks and human-water systems across urban scales. The “digital water” revolution is strengthening at the same time the interconnection between urban water systems (e.g., drinking water, wastewater, urban drainage) and other critical infrastructures (e.g., energy grids, transportation networks). This interconnection motivates the development of novel approaches accounting for the intrinsic complexity of such coupled systems.
This session aims to provide an active forum to discuss and exchange knowledge on state-of-the-art and emerging tools, frameworks, and methodologies for planning and management of modern urban water infrastructure, with a particular focus on digitalization and/or interconnections with other systems. Topics and applications could belong to any area of urban water network analysis, modelling and management, including, e.g., intelligent sensors and advanced metering, digital twins, asset management, decision making, novel applications of IoT, and challenges to their implementation or risk of lock-in of rigid system designs. Additional topics may include big-data analytics and information retrieval, data-driven behavioural analysis, artificial intelligence for water applications, descriptive and predictive models of, e.g., water demand, sewer system flow or flood extend, experimental approaches to demand management, water demand and supply optimization, real-time control of urban drainage systems, or the identification of trends and anomalies in hydraulic sensor data (e.g., for leak detection or prior to model calibration). Interesting investigations on interconnected systems can include, for example, cyber-physical security of urban water systems (i.e., communication infrastructure), combined reliability and assessment studies on urban metabolism, or minimization of flood impacts on urban networks.

Convener: David Steffelbauer | Co-conveners: Newsha Ajami, Nadia Kirstein, Riccardo Taormina, Ina Vertommen
Orals
| Wed, 26 Apr, 08:30–10:15 (CEST)
 
Room 2.31
Posters on site
| Attendance Wed, 26 Apr, 16:15–18:00 (CEST)
 
Hall A
Posters virtual
| Wed, 26 Apr, 16:15–18:00 (CEST)
 
vHall HS
Orals |
Wed, 08:30
Wed, 16:15
Wed, 16:15
HS5.14 EDI

Urban areas are at risk from multiple hazards, including urban flooding, droughts and water shortages, sea level rise, disease spread and issues with food security. Consequently, many urban areas are adapting their approach to hazard management and are applying Green Infrastructure (GI) solutions as part of wider integrated schemes.

This session aims to provide researchers with a platform to present and discuss the application, knowledge gaps and future research directions of urban GI and how sustainable green solutions can contribute towards an integrated and sustainable urban hazard management approach. We welcome original research contributions across a series of disciplines with a hydrological, climatic, soil sciences, ecological and geomorphological focus, and encourage the submission of abstracts which demonstrate the use of GI at a wide range of scales and geographical distributions. We invite contributions focusing on (but not restricted to):

· Monitored case studies of GI, Sustainable Drainage Systems (SuDS) or Nature Based Solutions (NBS), which provide an evidence base for integration within a wider hazard management system;

· GIS and hazard mapping analyses to determine benefits, shortcomings and best management practices of urban GI implementation;

· Laboratory-, field- or GIS-based studies which examine the effectiveness or cost/benefit ratio of GI solutions in relation to their wider ecosystem potential;

· Methods for enhancing, optimising and maximising GI system potential;

· Innovative and integrated approaches or systems for issues including (but not limited to): bioretention/stormwater management; pollution control; carbon capture and storage; slope stability; urban heat exchange, and; urban food supply;

· Catchment-based approaches or city-scale studies demonstrating the opportunities of GI at multiple spatial scales;

· Rethinking urban design and sustainable and resilient recovery following crisis onset;

· Engagement and science communication of GI systems to enhance community resilience.

Co-organized by NH1
Convener: Daniel Green | Co-conveners: Jorge Isidoro, Lei Li
Orals
| Fri, 28 Apr, 08:30–10:15 (CEST)
 
Room 2.15
Posters on site
| Attendance Fri, 28 Apr, 10:45–12:30 (CEST)
 
Hall A
Posters virtual
| Fri, 28 Apr, 10:45–12:30 (CEST)
 
vHall HS
Orals |
Fri, 08:30
Fri, 10:45
Fri, 10:45
HS5.16 EDI

Groundwater provides about 40% of all human water abstractions and is an essential water source for freshwater biota in rivers, lakes, and wetlands. Groundwater is, therefore, essential to ensuring sustainable water availability and a critical part of reaching sustainable development goal 6 (SDG6): “Ensuring availability and sustainable management of water and sanitation for all”.
The development of groundwater models and the analysis of groundwater data from national monitoring networks to global datasets have helped to push the boundaries of our understanding of groundwater processes. In particular, knowledge of the exchange between surface and subsurface waters is essential for determining the water balance at larger scales. Surface and subsurface water exchanges and inter-catchment groundwater flow affect water, pollutant, and nutrient fluxes, bio-organisms in streams, and the groundwater itself. Additionally, human activities (e.g., pumping/irrigation) increasingly affect groundwater flow processes and the exchange between surface and subsurface waters.
In this session, we focus on how groundwater monitoring, data analysis and modelling is critical for achieving sustainable water management. In particular, we highlight the increasing interest in the large-scale study of groundwater availability, quality, and processes (including groundwater recharge) and discuss current obstacles related to data availability and model design. We also focus on the implications of such research in informing effective policy in groundwater management.
Therefore, we seek contributions that address issues including:
• Regional to global groundwater-related datasets and big-data assessments
• Transboundary and inter-catchment assessments of groundwater processes
• Identification of dominant controls on groundwater processes across large domains
• Surface-subsurface water exchange at catchment to global scales and its effects on hydrological extremes (drought/flood), water availability, and solute/pollutant transport
• Effects of climate change, land use change, and change in water demand on large-scale groundwater
• Implications of groundwater monitoring and modelling, integrated water management, and global water policies
• Policy considerations in groundwater management ensuring adequate access to water resources
Solicited authors:
Nils Moosdorf

Including HS Division Outstanding Early Career Scientist Award Lecture
Convener: Rebekah Hinton | Co-conveners: Robert Reinecke, Andreas Hartmann, Sebastian Gnann, Fanny Sarrazin, Robert Kalin, Dahlia Sabri
Orals
| Thu, 27 Apr, 14:00–18:00 (CEST)
 
Room 2.44
Posters on site
| Attendance Thu, 27 Apr, 10:45–12:30 (CEST)
 
Hall A
Posters virtual
| Thu, 27 Apr, 10:45–12:30 (CEST)
 
vHall HS
Orals |
Thu, 14:00
Thu, 10:45
Thu, 10:45

HS6 – Remote sensing and data assimilation

Programme group scientific officer: Rafael Pimentel

HS6.1 EDI

We invite presentations concerning soil moisture estimation, including remote sensing, field experiments, land surface modelling and data assimilation and the establishment of fiducial reference measurements (FRMs). The technique of microwave remote sensing has made much progress toward its high potential to retrieve surface soil moisture at different scales. From local to landscape scales, several field or aircraft experiments (e.g. SMAPvex) have been organised to improve our understanding of active and passive microwave soil moisture sensing, including the effects of soil roughness, vegetation, spatial heterogeneities, and topography. At continental scales, a series of several passive and active microwave space sensors, including SMMR (1978-1987), AMSR (2002-), ERS/SCAT (1992-2000) provided information on surface soil moisture. Current investigations in L-band passive microwave with SMOS (2009-) and SMAP (2015-), and in active microwave with Metop/Ascat series (2006-) and Sentinel-1, enable accurate quantification of the soil moisture at regional and global scales. Future missions, such as the CIMR Copernicus High Priority Candidate Mission, the EPS-SG Metop-SG/SCA and continuity of the Sentinel programme, will further enhance soil moisture remote sensing accuracy and spatial resolution, and they will ensure continuity of multi-scale soil moisture measurements on climate scales.

We encourage submissions related to soil moisture remote sensing, including:
- Field experiment, theoretical advances in microwave modelling and calibration/validation activities.
- High spatial resolution soil moisture estimation based on e.g. Sentinel observations, GNSS reflections, or using novel downscaling methods.
- Preparation of future missions including CIMR, Metop-SG/SCA, SMOS-High Resolution, Terrestrial Water Resources Satellite, etc.
- Root zone soil moisture retrieval and soil moisture data assimilation in land surface models, hydrological models and in Numerical Weather Prediction models.
- Evaluation and trend analysis of soil moisture climate data records such as the ESA CCI soil moisture product as well as soil moisture from re-analysis.
- Inter-comparison and inter-validation between land surface models, remote sensing approaches and in-situ validation networks.
- Uncertainty characterization across scales.
- Soil moisture reference networks.
- Application of satellite soil moisture products for improving hydrological applications.

Convener: Clément Albergel | Co-conveners: Irene Himmelbauer, Alexander Gruber, David Fairbairn, Jian Peng, Luca Brocca, Nemesio Rodriguez-Fernandez
Orals
| Fri, 28 Apr, 10:45–12:30 (CEST), 14:00–15:40 (CEST), 16:15–17:57 (CEST)
 
Room 3.29/30
Posters on site
| Attendance Fri, 28 Apr, 08:30–10:15 (CEST)
 
Hall A
Orals |
Fri, 10:45
Fri, 08:30
HS6.3 EDI

The socio-economic impacts associated with floods are increasing. Floods represent the most frequent and most impacting, in terms of the number of people affected, among the weather-related disasters: nearly 0.8 billion people were affected by inundations in the last decade, while the overall economic damage is estimated to be more than $300 billion.
In this context, remote sensing represents a valuable source of data and observations that may alleviate the decline in field surveys and gauging stations, especially in remote areas and developing countries. The implementation of remotely-sensed variables (such as digital elevation model, river width, flood extent, water level, flow velocities, land cover, etc.) in hydraulic modelling promises to considerably improve our process understanding and prediction. During the last decades, an increasing amount of research has been undertaken to better exploit the potential of current and future satellite observations, from both government-funded and commercial missions, as well as many datasets from airborne sensors carried on airplanes and drones. In particular, in recent years, the scientific community has shown how remotely sensed variables have the potential to play a key role in the calibration and validation of hydraulic models, as well as provide a breakthrough in real-time flood monitoring applications. With the proliferation of open data and more Earth observation data than ever before, this progress is expected to increase.
We encourage presentations related to flood monitoring and mapping through remotely sensed data including: - Remote sensing data for flood hazard and risk mapping, including commercial satellite missions as well as airborne sensors (aircraft and drones);
- Remote sensing techniques to monitor flood dynamics;
- The use of remotely sensed data for the calibration, or validation, of hydrological or hydraulic models;
- Data assimilation of remotely sensed data into hydrological and hydraulic models;
- Improvement of river discretization and monitoring based on Earth observations;
- River flow estimation from remote sensing

Co-organized by NH6
Convener: Guy J.-P. Schumann | Co-conveners: Alessio Domeneghetti, Antara Dasgupta, Nick Everard, Angelica Tarpanelli
Orals
| Thu, 27 Apr, 08:30–10:15 (CEST)
 
Room 3.16/17
Posters on site
| Attendance Thu, 27 Apr, 10:45–12:30 (CEST)
 
Hall A
Posters virtual
| Thu, 27 Apr, 10:45–12:30 (CEST)
 
vHall HS
Orals |
Thu, 08:30
Thu, 10:45
Thu, 10:45
HS6.4 EDI

This session focuses on measurements and estimations of water levels, water extent, water storage and water discharge of water bodies such as rivers, lakes, floodplains and wetlands, and groundwater, through combined use of remote sensing and in situ measurements. Contributions that also cover aspects of assimilation of remote sensing and in situ data within hydrodynamic models are welcome and encouraged.

The monitoring of river water level, river discharge, water bodies extent, storage in lakes and reservoirs, and floodplain dynamics plays a key role in assessing water resources, understanding surface water dynamics, characterising and mitigating water related risks and enabling integrated management of water resources and aquatic ecosystems.

While in situ measurement networks play a central role in the monitoring effort, remote sensing techniques contribute by providing near real time measurements and long homogeneous time series to study the impact of climate change, over various scales from local to regional and global.

During the past thirty years a large number of satellites and sensors has been developed and launched allowing to quantify and monitor the extent of open water bodies (passive and active microwave, optical), the water levels (radar and laser altimetry), the global water storage and its changes (variable gravity). River discharge, a key variable of hydrological dynamics, can be estimated by combining space/in situ observations and modelling, although still challenging with available spaceborne techniques. Interferometric Synthetic Aperture Radar (InSAR) is also commonly used to understand wetland connectivity, floodplain dynamics and surface water level changes, with more complex stacking processes to study the relationship between ground deformation and changes in groundwater resources.

Traditional instruments contribute to long-term water level monitoring and provide baseline databases. Scientific applications of more complex technologies like the SAR altimetry on CryoSat-2, Sentinel-3A/B and Sentinel-6 missions are maturing, including the Fully-Focused SAR technique offering very-high resolution. The future SWOT mission will open up many new hydrology-related opportunities. Preparation studies results for Sentinel-3 Next Generation and CRISTAL are encouraged.

Public information:

15 mn talks.

Convener: Jérôme Benveniste | Co-conveners: Stefania Camici, Fernando Jaramillo, J.F. Crétaux
Orals
| Wed, 26 Apr, 14:00–17:55 (CEST)
 
Room 3.16/17
Posters on site
| Attendance Thu, 27 Apr, 08:30–10:15 (CEST)
 
Hall A
Orals |
Wed, 14:00
Thu, 08:30
HS6.6 EDI | PICO

Snow constitutes a freshwater resource for over a billion people world-wide. High percentage of this water resource mainly comes from seasonal snow located in mid-latitude regions. The current warming situation alerts that these snow water storages are in high risk to be dramatically reduced, affecting not only the water supply but also the ecosystem over these areas. Therefore, understanding seasonal snow dynamics, possible changes and implications have become crucial for water resources management. Remote sensing has proven to be the main technique used to monitor the snow properties across mid-large extensions and their hydrological implications, for decades now. Moreover, the recent advances, which are mainly focused on the study of snow properties at higher spatio-temporal scales (e.g., small-scale snow-topography interactions, snow-vegetation interaction, diurnal variation of snow, rain over snow events), are helping to understand better snow accumulation, distribution and ablation dynamics.
This session is focused on studies linking the use of remote sensing of seasonal snow in hydrological applications: techniques and data from different technologies, such as time-lapse imagery, laser scanners, radar, optical photography, thermal and hyperspectral technologies, or other new applications, with the aim of quantifying and better understanding snow characteristics (i.e. snow grain size, snow depth, albedo, pollution load, snow specific area and snow density), snow related processes (snowfall, melting, evaporation and sublimation), snow dynamics, snow modelling, snow hydrological impacts and snow environmental effects. Works covering different spatial scales, from the plot to the global, and temporal scales, from instantaneous to multiyear, are welcome.

Co-organized by CR2
Convener: Rafael Pimentel | Co-conveners: Claudia Notarnicola, Ilaria Clemenzi
PICO
| Mon, 24 Apr, 08:30–12:30 (CEST)
 
PICO spot 4
Mon, 08:30
HS6.7 EDI

Agriculture is the largest consumer of water worldwide and at the same time irrigation is a sector where huge differences between modern technology and traditional practices do exist. Furthermore, reliable and organized data about water withdrawals for agricultural purposes are generally lacking worldwide, thus making irrigation the missing variable to close the water budget over anthropized basins. As a result, building systems for improving water use efficiency in agriculture is not an easy task, even though it is an immediate requirement of human society for sustaining the global food security, rationally managing the resource and reducing causes of poverties, migrations and conflicts among states, which depend on trans-boundary river basins. Climate changes and increasing human pressure together with traditional wasteful irrigation practices are enhancing the conflictual problems in water use also in countries traditionally rich in water. Hence, saving irrigation water improving irrigation efficiency on large areas with modern techniques is an urgent action to do. In fact, it is well known that agriculture uses large volumes of water with low irrigation efficiency, accounting in Europe for around 24% of the total water use, with peak of 80% in the Southern Mediterranean part and may reach the same percentage in Mediterranean non-EU countries (EEA, 2009; Zucaro 2014). North Africa region has the lowest per-capita freshwater resource availability among all Regions of the world (FAO, 2018).
Several studies have recently explored the possibility of monitoring irrigation dynamics and by optimizing irrigation water management to achieve precision farming exploiting remote sensing information combined with ground data and/or water balance modelling.
In this session, we will focus on: the use of remote sensing data to estimate irrigation volumes and timing; management of irrigation using hydrological modeling combined with satellite data; improving irrigation water use efficiency based on remote sensing vegetation indices, hydrological modeling, satellite soil moisture or land surface temperature data; precision farming with high resolution satellite data or drones; farm and irrigation district irrigation management; improving the performance of irrigation schemes; estimates of irrigation water requirements from ground and satellite data; ICT tools for real-time irrigation management with remote sensing and ground data coupled with hydrological modelling.

Convener: Chiara Corbari | Co-conveners: Francesco Morari, kamal Labbassi, Jacopo Dari
Orals
| Thu, 27 Apr, 16:15–17:55 (CEST)
 
Room 3.29/30
Posters on site
| Attendance Thu, 27 Apr, 14:00–15:45 (CEST)
 
Hall A
Posters virtual
| Thu, 27 Apr, 14:00–15:45 (CEST)
 
vHall HS
Orals |
Thu, 16:15
Thu, 14:00
Thu, 14:00
HS6.9 EDI | PICO

Remote sensing products have a high potential to contribute to monitoring and modelling of water resources. Nevertheless, their use by water managers is still limited due to lack of quality, resolution, trust, accessibility, or experience.
In this session, we look for new developments that support the use of remote sensing data for water management applications from local to global scales. We are looking for research to increase the quality of remote sensing products, such as higher resolution mapping of land use and/or agricultural practices or improved assessments of river discharge, lake and reservoir volumes, groundwater resources and drought monitoring/modelling. We are interested in quality assessment of remote sensing products through uncertainty analysis or evaluations using alternative sources of data. We also welcome contributions using a combination of different techniques (physically based models or artificial intelligence techniques) or a combination of different sources of data (remote sensing and in situ). Finally, we wish to attract presentations on developments of user-friendly platforms providing smooth access to remote sensing data for water applications.
We are particularly interested in applications of remote sensing to estimate the human water interactions such as dam operations and/or irrigations.

Co-organized by ESSI3
Convener: Lluís Pesquer | Co-convener: Ann van Griensven
PICO
| Mon, 24 Apr, 14:00–15:45 (CEST)
 
PICO spot 4
Mon, 14:00
HS6.11 EDI

The Tibetan Plateau and surrounding mountain regions, known as the Third Pole, cover an area of > 5 million km2 and are considered to be the water tower of Asia. The Pan Third Pole expands on both the north-south and the east-west directions, going across the Tibetan Plateau, Pamir, Hindu Kush, Iran Plateau, Caucasian and Carpathian, and covering an area of about 20 million km2. Like the Arctic and Antarctica, the Pan Third Pole’s environment is extremely sensitive to global climate change. In recent years, scientists from around the globe have increased observational, remote sensing and numerical modeling research related to the Pan Third Pole in an effort to quantify and predict past, current and future scenarios. Co-sponsored by TPE (www.tpe.ac.cn), this session is dedicated to studies of Pan Third Pole atmosphere, cryosphere, hydrosphere, and biosphere and their interactions with global change. Related contributions are welcomed.

Convener: Yaoming Ma | Co-conveners: Fan Zhang, Bob Su, Binbin Wang
Orals
| Tue, 25 Apr, 16:15–17:55 (CEST)
 
Room 3.29/30, Wed, 26 Apr, 08:30–10:10 (CEST), 10:45–12:25 (CEST)
 
Room 3.29/30
Posters on site
| Attendance Wed, 26 Apr, 14:00–15:45 (CEST)
 
Hall A
Posters virtual
| Wed, 26 Apr, 14:00–15:45 (CEST)
 
vHall HS
Orals |
Tue, 16:15
Wed, 14:00
Wed, 14:00
HS6.12 EDI

With the proliferation and wide accessibility of remotely sensed information, data from missions such as Landsat, Sentinel, and MODIS are being increasingly used to develop a better understanding of hydrological processes on the earth’s surface. Acquiring this understanding is a crucial prerequisite to ameliorate resource management, optimise the development of infrastructure, and adjust land use practices to changing climate conditions and hazards such as floods and droughts. However, many analyses incorporate remote sensing data by default and without a thorough critical examination of their applicability and limitations. In-situ data, though often less readily available and more eclectic, provide a valuable layer of information to act as a benchmark against methods relying solely on remotely sensed data.
This session aims to highlight innovative approaches to harnessing a synthesis of remotely sensed and in-situ data to better understand processes related to hydrology at regional and local scales in a variety of environments. We welcome contributions that focus on combining remote sensing and in-situ information and critically engage with this intersection with relation to:
- Processes such as evapotranspiration, infiltration, (Monsoon) inundations
- Hydrological extremes such as floods and droughts
- Hydrological processes shaping agricultural systems
- Intersections with societal processes and synergies with socio-hydrological approaches
- Coping with a sparsity of in-situ data in poorly gauged and ungauged basins
- Developing novel methods of gathering in-situ benchmark data to combine with remotely sensed approaches
- Reviewing recent synthesised advances of RS applications in hydrology, in natural and anthropised ecosystems
- Application of remote sensing in hydrological modelling, particularly using remotely sensed water cycle components to facilitate multi-variable calibration and spatial evaluation of hydrological models.

Convener: Christina Anna Orieschnig | Co-conveners: Zheng Duan, Yonca Cavus, Hajar Choukrani, Jianzhi Dong, Junzhi Liu, Hongkai Gao
Orals
| Mon, 24 Apr, 16:15–17:55 (CEST)
 
Room 3.16/17
Posters on site
| Attendance Mon, 24 Apr, 10:45–12:30 (CEST)
 
Hall A
Orals |
Mon, 16:15
Mon, 10:45
PGM5
Sub-programme group meeting HS6 (by invitation only)
Convener: Rafael Pimentel
Wed, 26 Apr, 12:45–13:45 (CEST)
 
Room 2.33
Wed, 12:45

HS7 – Precipitation and climate

Programme group scientific officer: Roberto Deidda

HS7.1 | PICO

Rainfall is a “collective” phenomenon emerging from numerous drops. Understanding the relation between the physics of individual drops and that of a population of drops remains an open challenge, both scientifically and at the level of practical implications. This remains true also for solid precipitation. Hence, it is much needed to better understand small scale spatio-temporal precipitation variability, which is a key driving force of the hydrological response, especially in highly heterogeneous areas (mountains, cities). This hydrological response at the catchment scale is the result of the interplay between the space-time variability of precipitation, the catchment geomorphological / pedological / ecological characteristics and antecedent hydrological conditions. Therefore, (1) accurate measurement and prediction of the spatial and temporal distribution of precipitation over a catchment and (2) the efficient and appropriate description of the catchment properties are important issues in hydrology.

This session will bring together scientists and practitioners who aim to measure and understand precipitation variability from drop scale to catchment scale as well as its hydrological consequences. Contributions addressing one or several of the following topics are especially targeted:
- Novel techniques for measuring liquid and solid precipitation variability at hydrologically relevant space and time scales (from drop to catchment scale), from in situ measurements to remote sensing techniques, and from ground-based devices to spaceborne platforms. Innovative comparison metrics are welcomed;
- Precipitation drop (or particle) size distribution and its small scale variability, including its consequences for precipitation rate retrieval algorithms for radars, commercial microwave links and other remote sensors;
- Novel modelling or characterization tools of precipitation variability from drop scale to catchment scale from various approaches (e.g. scaling, (multi-)fractal, statistic, deterministic, numerical modelling);
- Novel approaches to better identify, understand and simulate the dominant microphysical processes at work in liquid and solid precipitation.
- Applications of measured and/or modelled precipitation fields in catchment hydrological models for the purpose of process understanding or predicting hydrological response.

Co-organized by AS1/NP3
Convener: Auguste Gires | Co-conveners: Alexis Berne, Katharina Lengfeld, Taha Ouarda, Remko Uijlenhoet
PICO
| Thu, 27 Apr, 08:30–12:30 (CEST)
 
PICO spot 4
Thu, 08:30
HS7.2 EDI

The assessment of precipitation variability and uncertainty is crucial in a variety of applications, such as flood risk forecasting, water resource assessments, evaluation of the hydrological impacts of climate change, determination of design floods, and hydrological modelling in general. This session aims to gather contributions on research, advanced applications, and future needs in the understanding and modelling of precipitation variability, and its sources of uncertainty.

Contributions focusing on one or more of the following issues are particularly welcome:
- Novel studies aimed at the assessment and representation of different sources of uncertainty versus natural variability of precipitation.
- Methods to account for accuracy in precipitation time series due to, e.g., change and improvement of observation networks.
- Uncertainty and variability in spatially and temporally heterogeneous multi-source precipitation products.
- Estimation of precipitation variability and uncertainty at ungauged sites.
- Precipitation data assimilation.
- Process conceptualization and approaches to modelling of precipitation at different spatial and temporal scales, including model parameter identification and calibration, and sensitivity analyses to parameterization and scales of process representation.
- Modelling approaches based on ensemble simulations and methods for synthetic representation of precipitation variability and uncertainty.
- Scaling and scale invariance properties of precipitation fields in space and/or in time.
- Physically and statistically based approaches to downscale information from meteorological and climate models to spatial and temporal scales useful for hydrological modelling and applications.

Co-organized by AS1
Convener: Giuseppe Mascaro | Co-conveners: Nikolina Ban, Roberto Deidda, Chris Onof, Alin Andrei Carsteanu
Orals
| Mon, 24 Apr, 08:30–12:30 (CEST)
 
Room 2.44
Posters on site
| Attendance Mon, 24 Apr, 14:00–15:45 (CEST)
 
Hall A
Orals |
Mon, 08:30
Mon, 14:00
HS7.3 EDI | PICO

Hydroclimatic conditions and availability of water resources in space and time constitute important factors for maintaining adequate food supply, the quality of the environment, and the welfare of citizens and inhabitants, in the context of a post-pandemic sustainable growth and economic development. This session is designed to explore the impacts of hydroclimatic variability, climate change, and temporal and spatial availability of water resources on different factors, such as food production, population health, environment quality, and local ecosystem welfare.
We particularly welcome submissions on the following topics:
• Complex inter-linkages between hydroclimatic conditions, food production, and population health, including: extreme weather events, surface and subsurface water resources, surface temperatures, and their impacts on food security, livelihoods, and water- and food-borne illnesses in urban and rural environments.
• Quantitative assessment of surface-water and groundwater resources, and their contribution to agricultural system and ecosystem statuses.
• Spatiotemporal modeling of the availability of water resources, flooding, droughts, and climate change, in the context of water quality and usage for food production, agricultural irrigation, and health impacts over a wide range of spatiotemporal scales.
• Smart infrastructure for water usage, reduction of water losses, irrigation, environmental and ecological health monitoring, such as development of advanced sensors, remote sensing, data collection, and associated modeling approaches.
• Modelling tools for organizing integrated solutions for water supply, precision agriculture, ecosystem health monitoring, and characterization of environmental conditions.
• Water re-allocation and treatment for agricultural, environmental, and health related purposes.
• Impact assessment of water-related natural disasters, and anthropogenic forcing (e.g. inappropriate agricultural practices, and land usage) on the natural environment (e.g. health impacts from water and air, fragmentation of habitats, etc.)

Co-organized by CL3.2/ERE1/NH8/NP8
Convener: Elena Cristiano | Co-conveners: Alin Andrei Carsteanu, George Christakos, Andreas Langousis, Hwa-Lung Yu
PICO
| Thu, 27 Apr, 14:00–18:00 (CEST)
 
PICO spot 4
Thu, 14:00
HS7.4 EDI | PICO

Water resources managers and scientists are facing several challenges when applying climate models for hydrological variables. Indeed, a gap exists between what is provided by climate scenarios and what is needed and useful for water resources managers. In order to reduce this gap and enhance the assessment of climate change impacts, we need to improve our understanding, knowledge and model representations of the interactions between climate drivers and hydrological processes at the regional scale. This is essential to outline forecasts and assess extreme events risk, where uncertainty, probabilistic approaches ad prediction scenarios should be properly defined.
This session particularly welcomes, but is not limited to, contributions on:
- Advanced techniques to simulate and predict hydrological processes and water resources, with emphasis on stochastic and hybrid methods.
- Advanced techniques to simulate and predict hydroclimatic extreme events including compound extreme events relevant to water resources management (e.g. heatwaves and droughts).
- Holistic approaches to generate future water resources scenarios integrating also anthropogenic and environmental perspectives.
- Hydroclimatic change attribution studies using probabilistic approaches and novel causality frameworks with uncertainty assessment.
- Evaluation of climate models performance at the regional scale using observational data
This session is sponsored by the International Association of Hydrological Sciences (IAHS) and the World Meteorological Organization – Commission for Hydrology (WMO CHy) and it is also related to the scientific decade 2013–2022 of IAHS, entitled “Panta Rhei - Everything Flows”.

Co-sponsored by IAHS and WMO
Convener: Theano Iliopoulou | Co-conveners: Serena Ceola, Christophe Cudennec, Harry Lins, Alberto Montanari
PICO
| Fri, 28 Apr, 08:30–10:15 (CEST)
 
PICO spot 4
Fri, 08:30
HS7.5 EDI

Extreme hydro-meteorological events drive many hydrologic and geomorphic hazards, such as floods, landslides and debris flows, which pose a significant threat to modern societies on a global scale. The continuous increase of population and urban settlements in hazard-prone areas in combination with evidence of changes in extreme weather events lead to a continuous increase in the risk associated with weather-induced hazards. To improve resilience and to design more effective mitigation strategies, we need to better understand the triggers of these hazards and the related aspects of vulnerability, risk, and mitigation.
This session aims at gathering contributions dealing with various hydro-meteorological hazards that address the aspects of vulnerability analysis, risk estimation, impact assessment, mitigation policies and communication strategies. Specifically, we aim to collect contributions from academia, the industry (e.g. insurance) and government agencies (e.g. civil protection) that will help identify the latest developments and ways forward for increasing the resilience of communities at local, regional and national scales, and proposals for improving the interaction between different entities and sciences.
Contributions focusing on, but not limited to, novel developments and findings on the following topics are particularly encouraged:
- Physical and social vulnerability analysis and impact assessment of hydro-meteorological hazards
- Advances in the estimation of socioeconomic risk from hydro-meteorological hazards
- Characteristics of weather and precipitation patterns leading to high-impact events
- Relationship between weather and precipitation patterns and socio-economic impacts
- Hazard mitigation procedures
- Strategies for increasing public awareness, preparedness, and self-protective response
- Impact-based forecast, warning systems, and rapid damage assessment.
- Insurance and reinsurance applications
This session is linked to an active special issue in Natural Hazards and Earth System Sciences (NHESS): https://nhess.copernicus.org/articles/special_issue1203.html

Co-organized by NH1/NP8
Convener: Francesco Marra | Co-conveners: Nadav Peleg, Elena Cristiano, Federica Remondi, Efthymios Nikolopoulos
Orals
| Mon, 24 Apr, 14:00–18:00 (CEST)
 
Room 2.44
Posters on site
| Attendance Mon, 24 Apr, 10:45–12:30 (CEST)
 
Hall A
Posters virtual
| Mon, 24 Apr, 10:45–12:30 (CEST)
 
vHall HS
Orals |
Mon, 14:00
Mon, 10:45
Mon, 10:45
HS7.6 EDI

Urban hydrological processes are characterized by high spatial variability and short response times resulting from a high degree of imperviousness. Therefore, urban catchments are especially sensitive to space-time variability of precipitation at small scales. High-resolution precipitation measurements in cities are crucial to properly describe and analyses urban hydrological responses. At the same time, urban landscapes pose specific challenges to obtaining representative precipitation and hydrological observations.

This session focuses on high-resolution precipitation and hydrological measurements in cities and on approaches to improve modeling of urban hydrological response, including:
- Novel techniques for high-resolution precipitation measurement in cities and for multi-sensor data merging to improve the representation of urban precipitation fields.
- Novel approaches to hydrological field measurements in cities, including data obtained from citizen observatories.
- Precipitation modeling for urban applications, including convective permitting models and stochastic rainfall generators.
- Novel approaches to modeling urban catchment properties and hydrological response, from physics-based, conceptual and data-driven models to stochastic and statistical conceptualization.
- Applications of measured precipitation fields to urban hydrological models to improve hydrological prediction at different time horizons to ultimately enable improved management of urban drainage systems (including catchment strategy development, flood forecasting and management, real-time control, and proactive protection strategies aimed at preventing flooding and pollution).
- Strategies to deal with upcoming challenges, including climate change and rapid urbanization.

Co-organized by NH1
Convener: Hannes Müller-Thomy | Co-conveners: Nadav Peleg, Lotte de Vos, Susana Ochoa Rodriguez, Li-Pen Wang
Orals
| Tue, 25 Apr, 14:00–15:45 (CEST)
 
Room 2.31
Posters on site
| Attendance Tue, 25 Apr, 10:45–12:30 (CEST)
 
Hall A
Posters virtual
| Tue, 25 Apr, 10:45–12:30 (CEST)
 
vHall HS
Orals |
Tue, 14:00
Tue, 10:45
Tue, 10:45
HS7.7 EDI

Over the last decades, a significant body of empirical and theoretical work has revealed the departure of statistical properties of hydrometeorological processes from the classical statistical prototype, as well as the scaling behaviour of their variables in general, and extremes in particular, in either state, space and/or time. Extremes and more generally the statistics of hydrometeorologic processes are the key input for hydrological applications, e.g. in natural catastrophe modelling. An example of this is the estimation of design rainfall. Beside the estimation of the absolute rainfall amount related to a certain return period, the intra-event rainfall distribution, its spatial extension and the rainfall intensities at neighbouring stations can be required depending on the intended application and thus the spatial and temporal scales of interest should be determined. Another good example are the large scale connections between hydrometeorologic extremes and climatic oscillations such as NAO or ENSO, and how these correlations can evolve in a changing climate. These are only two examples among numerous hydrologic applications.
On the one hand, the estimation of the hydrometeorological extremes and their probability distribution, the identification and incorporation of supporting information to improve these estimates, and their hydrologic application over a wide range of scales remain open challenges. On the other hand, hydrometeorologists had never access to so much computer power and data, including novel AI approaches, to face these open challenges.
This session welcomes, but is not limited to submissions on the following topics:
- Coupling stochastic approaches with deterministic hydrometeorological predictions, in order to better represent predictive uncertainty
- Development of robust statistics under non-stationary conditions for design purposes
- Development of parsimonious representations of probability distributions of hydrometeorological extremes over a wide range of spatial and temporal scales in risk analysis and hazard prediction
- Improvements for reliable estimation of extremes with high return periods under consideration of upper or lower limits due to physical constraints
- Linking underlying physics and hydroclimatic indices with stochastics of hydrometeorologic extremes
- Exploration of supporting data sets for additional stochastic information as well as the use of novel AI and machine learning approaches

Convener: Jose Luis Salinas Illarena | Co-conveners: Hannes Müller-Thomy, Carlotta Scudeler, Stergios Emmanouil, Gaby Gründemann
Orals
| Fri, 28 Apr, 14:00–15:45 (CEST)
 
Room 2.44
Posters on site
| Attendance Fri, 28 Apr, 08:30–10:15 (CEST)
 
Hall A
Posters virtual
| Fri, 28 Apr, 08:30–10:15 (CEST)
 
vHall HS
Orals |
Fri, 14:00
Fri, 08:30
Fri, 08:30
HS7.8 EDI

Hydro-meteorological extremes such as floods, droughts, storms, or heatwaves often affect large regions therefore causing large damages and costs. Hazard and risk assessments, aiming at reducing the negative consequences of such extreme events, are often performed with a focus on one location despite the spatially compounding nature of extreme events. While spatial extremes receive a lot of attention by the media, little is known about their driving factors and it remains challenging to assess their risk by modelling approaches. Key challenges in advancing our understanding of spatial extremes and in developing new modeling approaches include the definition of multivariate events, the quantification of spatial dependence, the dealing with large dimensions, the introduction of flexible dependence structures, the estimation occurrence probabilities, the identification of potential drivers for spatial dependence, and linking different spatial scales. This session invites contributions which help to better understand processes governing spatial extremes and/or propose new ways of describing and modeling spatially compounding events at different spatial scales.

Co-organized by AS1/NH1
Convener: Manuela Irene Brunner | Co-conveners: András Bárdossy, Raphael Huser, Simon Michael Papalexiou, Elena Volpi
Orals
| Fri, 28 Apr, 16:15–17:50 (CEST)
 
Room 2.44
Posters on site
| Attendance Fri, 28 Apr, 08:30–10:15 (CEST)
 
Hall A
Posters virtual
| Fri, 28 Apr, 08:30–10:15 (CEST)
 
vHall HS
Orals |
Fri, 16:15
Fri, 08:30
Fri, 08:30
HS7.9 EDI | PICO

Traditionally, hydrologists focus on the partitioning of precipitation water on the surface, into evaporation and runoff, with these fluxes being the input to their hydrologic models. However, more than half of the evaporation globally comes back as precipitation on land, ignoring an important feedback of the water cycle if the previous focus applied. Land-use and water-use changes, as well as climate variability and change alter, not only, the partitioning of water but also the atmospheric input of water as precipitation, related with this feedback, at both remote and local scales.

This session aims to:
i. investigate the remote and local atmospheric feedbacks from human interventions such as greenhouse gasses, irrigation, deforestation, and reservoirs on the water cycle, precipitation and climate, based on observations and coupled modelling approaches,
ii. investigate the use of hydroclimatic frameworks such as the Budyko framework to understand the human and climate effects on both atmospheric water input and partitioning,
iii. explore the implications of atmospheric feedbacks on the hydrologic cycle for land and water management.

Typically, studies in this session are applied studies using fundamental characteristics of the atmospheric branch of the hydrologic cycle on different scales. These fundamentals include, but are not limited to, atmospheric circulation, humidity, hydroclimate frameworks, residence times, recycling ratios, sources and sinks of atmospheric moisture, energy balance and climatic extremes. Studies may also evaluate different sources of data for atmospheric hydrology and implications for inter-comparison and meta-analysis. For example, observations networks, isotopic studies, conceptual models, Budyko-based hydro climatological assessments, back-trajectories, reanalysis and fully coupled earth system model simulations.

Co-organized by AS1/CL3.2
Convener: Ruud van der Ent | Co-conveners: Lan Wang-Erlandsson, Gonzalo Miguez Macho, Fernando Jaramillo, Christoforos Pappas
PICO
| Wed, 26 Apr, 14:00–18:00 (CEST)
 
PICO spot 4
Wed, 14:00
HS7.10 EDI

A persistent rise in the mean global temperatures is observed due to the continuous accumulation of greenhouse gases within the atmospheric system. Global warming has resulted in climate change, manifesting changes in the hydrological cycle through long-term changes in temperature and precipitation patterns at different spatial and temporal scales. Thus, investigating trends and variability in climate extremes would help us quantify the regional climate change impacts. Moreover, stationarity assessment is essential for hydrologic design, particularly in a changing climate. In addition, the climate variability influences through large-scale oceanic-atmospheric circulations modulate the hydroclimatic means and extremes. Thus, it is inevitable to statistically analyze the long-term changes in hydroclimatic variables and explore their linkages to climate change and variability.

This session focuses on the application of statistical techniques for objectively assessing trends in hydroclimatic variables at different temporal, regional, and continental scales to assess any discernible links to climate variability and change. In addition, this session aims to explore the applicability of emerging techniques and approaches for detecting stationarity in hydroclimatic time series. This session will also invite submissions that develop and apply new indices for understanding regional hydroclimatological variability to aid water resources management. Research studies unravelling the climate variability effects on the hydroclimatic conditions at local and global scales will be appreciated. Further, research studies assessing the co-evolution of hydroclimatic variables under the influence of climate variability and change will also be welcomed.

Convener: Priyank Sharma | Co-conveners: Ramesh Teegavarapu, Achala Singh
Orals
| Tue, 25 Apr, 16:15–18:00 (CEST)
 
Room 2.31
Posters on site
| Attendance Tue, 25 Apr, 10:45–12:30 (CEST)
 
Hall A
Posters virtual
| Tue, 25 Apr, 10:45–12:30 (CEST)
 
vHall HS
Orals |
Tue, 16:15
Tue, 10:45
Tue, 10:45
PGM6
Sub-programme group meeting HS7 (by invitation only)
Convener: Roberto Deidda
Wed, 26 Apr, 18:00–19:00 (CEST)
 
Room 2.32
Wed, 18:00

HS8 – Subsurface hydrology

Programme group scientific officers: Roland Baatz, Irina Engelhardt

HS8.1 – Subsurface hydrology – General sessions

Programme group scientific officer: Irina Engelhardt

HS8.1.1 EDI

The conservation and restoration of aquatic systems is essential to cover the growing demand of drinking water, especially in urban areas. However, the physico-chemical conditions of aquatic systems can be altered by a wide range of factors such as (i) the release of pollutants as a result of human activities (organic and inorganic contaminants), (ii) the presence of natural and engineered particles (inorganic particles, biocolloids and plastics), or (iii), the impacts of anthropogenic activities developed in urban areas (geothermal energy, constructions or landfills). All of these factors are of great concern because of their potential adverse effects on ecosystem functions, wildlife and human health.
The session is divided according with two main topics: (i) the effects of the presence of particles in environmental systems, and (ii), the consequences of anthropogenic activities on the physico-chemical conditions of urban water resources.
Main contributions will be focused on:
• The occurrence and fate of chemicals compounds of anthropogenic origin and particles in aquatic and terrestrial systems.
• The impacts of human related activities and actions on the physico-chemical conditions of water resources, especially in urban environments.
• Methods to detect, characterize, quantify and test the behaviour of particles in aquatic and terrestrial systems.
• Interactions between biocolloids, particles and solids
• Toxicity of products generated from biological disruption of pollutants in the presence of biocolloids and adverse effects of nanoparticles on microorganisms
• The effects of climate change on biocolloids and nanoparticles migration
• Public health risks associated with water and air polluted with biocolloids and nanoparticles.

Co-organized by ERE1
Convener: Estanislao Pujades | Co-conveners: Constantinos Chrysikopoulos, Anna Jurado Elices, Thomas Baumann, Markus Flury, Meiping Tong, Christophe Darnault
Orals
| Mon, 24 Apr, 16:15–18:00 (CEST)
 
Room 2.15
Posters on site
| Attendance Mon, 24 Apr, 14:00–15:45 (CEST)
 
Hall A
Posters virtual
| Mon, 24 Apr, 14:00–15:45 (CEST)
 
vHall HS
Orals |
Mon, 16:15
Mon, 14:00
Mon, 14:00
HS8.1.3

During the last decades we have seen an exponential increase in new anthropogenic chemicals for all kinds of uses in society. Many of these are increasingly being detected at low levels in surface- and groundwater. Recent research on toxicity of chemicals such as per- and polyfluoroalkyl substances (PFAS), has raised concerns and led to stricter regulations in many countries. Contaminants such as PFAS, pharmaceuticals, pesticides, nanoparticles, plastics etc. may demonstrate low acute toxicity, but can still produce long-term adverse health effects even at very low levels of exposure. The ubiquitous presence of harmful, anthropogenic chemicals in the environment, some of which are “forever chemicals” that do not degrade naturally, requires immediate actions to reduce their release and spreading, better understand their transport and associated risks, and remove them from the environment.

These chemicals have produced many additional challenges for groundwater management, risk assessment and remediation. For many contaminants, the partitioning between different matrices such as the soil, groundwater and air as well as the interfaces between these phases is key to their mobility and fate as well as strategies for mitigation. Abiotic and biotic transformations and degradation influence persistence, partitioning between phases, mobility and risks. Many processes in both the groundwater and vadose zones need to be better understood and there is an urgent need for improved remediation and mitigation methods specifically designed for new contaminants. While contaminants of emerging concern are receiving attention in many places in e.g. Europe, North America and Australia, there are also large areas in the world where their occurrence and associated impacts on the environment and human health are poorly known. Finally, several challenges associated with the mitigation of traditional contaminants also remain.

This session seeks papers on process understanding through laboratory and field research, modeling, and site characterization to address new challenges and solutions associated with contamination of the soil-groundwater system by emerging contaminants and PFAS as well as unsolved challenges related to traditional contaminants.

Convener: Fritjof Fagerlund | Co-convener: Tissa Illangasekare
Orals
| Thu, 27 Apr, 14:00–15:45 (CEST)
 
Room 2.31
Posters on site
| Attendance Thu, 27 Apr, 10:45–12:30 (CEST)
 
Hall A
Orals |
Thu, 14:00
Thu, 10:45
HS8.1.5

This session combines presentations on recent developments in understanding, measuring, and modeling subsurface flow and transport and reaction. We aim to include processes in the saturated and unsaturated zones, in porous media and fractured rock as well as at different scales.

The correct quantification of transport processes, which occur at different spatial and temporal scales, is challenging. It strongly influences predicted spreading, dilution and mixing rates. However, dispersion, mixing and chemical reactions are local phenomena that strongly depend on the interplay between large-scale system heterogeneity and smaller-scale processes.

Dissolution, precipitation and chemical reactions between infiltrating fluid and rock matrix alter the composition and structure of the rock, either creating or destroying flow paths. Nonlinear couplings between the chemical reactions at mineral surfaces and fluid motion in the pores form intricate patterns: networks of caves and sinkholes in karst area, wormholes or porous channels created during the ascent of magma through peridotite rocks. Dissolution and precipitation processes are also relevant in many industrial applications such as CO2 sequestration, heat extraction from thermal reservoirs, or weathering of building materials. Modern experimental techniques and computational power allow studying these processes by direct visualization as well as simulation at the microscale.

The session is co-sponsored by the Groundwater Commission of IAHS.

Co-sponsored by IAHS
Convener: Alraune Zech | Co-conveners: Piotr Szymczak, Antonio Zarlenga, Linda Luquot, Felipe de Barros, Maria Garcia-Rios
Orals
| Tue, 25 Apr, 08:30–12:30 (CEST)
 
Room 2.31
Posters on site
| Attendance Tue, 25 Apr, 14:00–15:45 (CEST)
 
Hall A
Posters virtual
| Tue, 25 Apr, 14:00–15:45 (CEST)
 
vHall HS
Orals |
Tue, 08:30
Tue, 14:00
Tue, 14:00
HS8.1.8

This session deals with the use of geophysical methods for the characterization of subsurface properties, states, and processes in contexts such as hydrology, ecohydrology, contaminant transport, reactive media, etc. Geophysical methods potentially provide subsurface data with an unprecedented high spatial and temporal resolution in a non-invasive manner. However, the interpretation of these measurements is far from straightforward in many contexts and various challenges remain. Among these are the need for improved quantitative use of geophysical measurements in model conceptualization and parameterization, and the need to move quantitative hydrogeophysical investigations beyond the laboratory and field scale towards the catchment scale. Therefore, we welcome submissions addressing advances in the acquisition, processing, analysis and interpretation of data obtained from geophysical and other minimally invasive methods applied to a (contaminant) hydrological context. In particular, we encourage contributions on innovations in experimental and numerical methods in support of model-data fusion, including new concepts for coupled and joint inversion, and improving our petrophysical understanding on the link between hydrological and geophysical properties.

Convener: Damien Jougnot | Co-conveners: Ulrike Werban, Philippe Leroy, Marc Dumont, Remi Clement
Orals
| Thu, 27 Apr, 16:15–18:00 (CEST)
 
Room 2.31
Posters on site
| Attendance Thu, 27 Apr, 10:45–12:30 (CEST)
 
Hall A
Orals |
Thu, 16:15
Thu, 10:45
HS8.1.9 EDI

Aquifers are under severe stress worldwide as a result of large imbalances created by excessive groundwater pumping, to the point that many aquifers have been identified as under severe and unsustainable water stress. Even though this situation has been known for decades, the adoption of measures to mitigate this stress has been nonexistent or ineffective. Some of the reasons that have led to this situation are incomplete knowledge of aquifer dynamics, data scarcity as well as cultural, political, and socio-economic factors. The PRIMA Foundation initiated a call on this topic three years ago, and most of the financed projects will conclude shortly after the upcoming EGU meeting, making this session the perfect showcase to present some of the results attained by those projects and to contrast them with similar initiatives by other groups. Presentations addressing the different aspects of sustainable groundwater management in water-stressed regions are welcome including, but not limited to, data collection and sharing, innovative modeling tools, stakeholder involvement, citizen science, new decision support systems, climate change mitigation measures, how to best estimate groundwater extraction or the role of living labs in groundwater management.

Convener: Jaime Gómez-Hernández | Co-conveners: Maria Giovanna Tanda, George Karatzas, Vanessa A. Godoy, Seifeddine Jomaa, Martin Sauter, Irina Engelhardt
Orals
| Fri, 28 Apr, 10:45–12:30 (CEST), 14:00–15:35 (CEST), 16:15–17:40 (CEST)
 
Room 3.16/17
Posters on site
| Attendance Fri, 28 Apr, 08:30–10:15 (CEST)
 
Hall A
Posters virtual
| Fri, 28 Apr, 08:30–10:15 (CEST)
 
vHall HS
Orals |
Fri, 10:45
Fri, 08:30
Fri, 08:30

HS8.2 – Subsurface hydrology – Groundwater

Programme group scientific officer: Irina Engelhardt

HS8.2.1 EDI

A number of physical (e.g. flow and transport), chemical (e.g. red-ox reactions) and biological (e.g. bio-mineralization) mechanisms are critical to the fate of geologic media where rocks, liquids, gases and microbes are in close interactions. The characterization and modeling of the complex interplay between these mechanisms is fundamental to our understanding of subsurface processes occurring in contaminant transport and remediation in groundwater and the vadose zone, in the geological storage of energy, CO2 and H2, as well as in enhanced oil and gas recovery. The increasing need to understand the evolution of such coupled processes in subsurface environments has motivated the development of novel experimental approaches, from laboratory to field, which are capable of quantifying the physical, chemical and biological properties of heterogeneous structures at different scales. Detailed experimental investigation and evidence of complex subsurface processes allow testing and validating new measuring techniques, and provide datasets with sufficient resolution to make the validation of coupled processes theories and numerical models possible.
The objective of this session is to discuss novel improvements in our understanding of coupled subsurface processes based on innovative methods allowing the quantification of relevant phenomena and their underlying mechanisms such as the dynamics of single and multiphase flows, conservative and reactive transport, chemically driven or biologically mediated processes, and bacterial dynamics and biofilm growth in heterogeneous porous and fractured media. Contributions may include, for example, experiments featuring high resolution measurements with novel sensors, analytical and imaging techniques, advanced in-situ single- and/or cross-borehole hydraulic tests, (hydro)geophysical techniques, strategies for borehole/borehole interval sealing, or inverse model techniques. We particularly encourage integrative multi-physic methods, i.e. hydraulic, chemical or heat methods aiming at elucidating the heterogeneity of flow, transport and related processes. Ideas for future strategies related to experimental methods, interpretation of existing data, and associated theoretical/numerical modeling, are particularly welcome.

Co-organized by SSS6
Convener: Maria Klepikova | Co-conveners: Yves Meheust, Nataline Simon, Oshri Borgman, Pietro De Anna, Clement Roques, Vittorio Di Federico
Orals
| Mon, 24 Apr, 08:30–12:25 (CEST)
 
Room 2.15
Posters on site
| Attendance Mon, 24 Apr, 16:15–18:00 (CEST)
 
Hall A
Orals |
Mon, 08:30
Mon, 16:15
HS8.2.3 EDI

The session aims to bring together scientists studying various aspects related to groundwater flow systems, and their role in solving water management and environmental problems.
Understanding groundwater flow systems requires knowledge of the governing processes and conditions from the local to regional and basin-scales, including porous and fractured porous media. Moreover, problems connected to groundwater management underline the importance of sustainable development and protection of groundwater resources.
In this context of groundwater flow understanding, the session intends to analyze issues connected to groundwater management and its protection from degradation with respect to quantity and quality (e.g. due to over-exploitation, conflicts in use, climate change, resource development or contamination). Papers related to methods of characterizing groundwater flow systems, and preventing, controlling and mitigating harmful environmental impacts related to groundwater, including those in developing countries, are also welcome.
The session is sponsored by RGFC-IAH. We are pleased to announce that we have launched a Special Issue entitled "The role of groundwater flow systems in solving water management and environmental problems" in the journal "Italian Journal of Groundwater" (https://www.acquesotterranee.net/acque) and in Water MDPI with the title of "Regional Groundwater Flow
Concept and Its Potential for Interdisciplinary Application"(https://www.mdpi.com/journal/water/special_issues/H4I7230H76),

Convener: Judit Mádl-Szőnyi | Co-conveners: Manuela Lasagna, Jim LaMoreaux, Daniela Ducci, John Molson
Orals
| Fri, 28 Apr, 10:45–12:30 (CEST), 14:00–15:30 (CEST)
 
Room 2.15
Posters on site
| Attendance Fri, 28 Apr, 08:30–10:15 (CEST)
 
Hall A
Posters virtual
| Fri, 28 Apr, 08:30–10:15 (CEST)
 
vHall HS
Orals |
Fri, 10:45
Fri, 08:30
Fri, 08:30
HS8.2.4 EDI

Karst environments are characterized by distinctive landforms and unique hydrological behaviors. Karst systems are extremely complex, heterogeneous and very difficult to manage, because their formation and evolution are controlled by a wide range of geological, hydrological, geochemical and biological processes, and are extremely variable in time and space. Furthermore, karst systems are highly vulnerable to a variety of hazards, due to the direct connection between the surface and subsurface through the complex networks of conduits and caves.
In karst, any interference is likely to have irreversible impacts and disturb the natural balance of the elements and processes. The great variability and unique connectivity may result in serious engineering problems: on one hand, karst groundwater resources are easily contaminated by pollution because of the rapidity of transmission through conduit flow, and remediation action, when possible, could be very expensive and require a long time; on the other hand, the presence of karst conduits that weakens the strength of the rock mass may lead to serious natural and human-induced hazards. The design and development of engineering projects in karst environments thus should necessarily require: 1) an enhanced understanding of the natural processes governing the initiation and evolution of karst systems through both field and modelling approaches, and 2) specific interdisciplinary approaches aimed at mitigating the detrimental effects of hazardous processes and environmental problems.
This session calls for abstracts on research from karst areas worldwide related to geomorphology, hydrogeology, engineering geology, hazard mitigation in karst environments in the context of climate change and increasing human disturbance.

Co-organized by NH1
Convener: Mario Parise | Co-conveners: Hervé Jourde, Isabella Serena Liso, Jannes Kordilla, Daniel Bittner
Orals
| Mon, 24 Apr, 14:00–15:45 (CEST)
 
Room 2.15
Posters on site
| Attendance Mon, 24 Apr, 16:15–18:00 (CEST)
 
Hall A
Orals |
Mon, 14:00
Mon, 16:15
HS8.2.6

Coastal aquifers are transitional zones that play a vital role not only providing water resources for coastal societies, but also controlling the exchange of water and chemical constituents between land and ocean and thus influencing coastal marine ecosystems. Traditionally, they have been approached by two different scientific communities, one which focuses on the sustainability of water resources and is particularly interested in sea water intrusion (SWI), and another which focuses on fluxes of solutes supplied by groundwater to the coastal ocean, i.e. submarine groundwater discharge (SGD). As a result, the understanding of the bidirectional groundwater-seawater fluxes is often partial and/or limited. Nevertheless, recent technological, methodological and knowledge advances (e.g. new (hydro)geophysics and (micro)biological approaches, improved (bio)geochemical analytical capabilities, development of new sensors and modelling tools) have allowed scientists to monitor and approach these coastal systems in comprehensive and integrative manner as never before. This session aims to bring together multiple disciplines and perspectives on coastal aquifers. We solicit studies involving SWI, SGD, or both, in order to advance a broad conceptual framework of groundwater in the land-ocean continuum, quantify the dynamic biogeochemical processes and model mechanisms and factors driving freshwater-saltwater dynamics that occur across local to regional scales; from the vadose zone to aquifer systems and submarine groundwater discharge. A better understanding of SWI and SGD from hydrogeologic and oceanographic perspective can help improve management of coastal groundwater and ecosystems and assess its current and future global importance.

Convener: Albert Folch | Co-conveners: Audrey Sawyer, Valentí Rodellas Vila, Holly Michael, Ester Zancanaro, Marta Cosma, Iva Aljinović
Orals
| Tue, 25 Apr, 14:00–17:55 (CEST)
 
Room B, Wed, 26 Apr, 08:30–10:10 (CEST), 10:45–12:20 (CEST)
 
Room B
Posters on site
| Attendance Wed, 26 Apr, 16:15–18:00 (CEST)
 
Hall A
Posters virtual
| Wed, 26 Apr, 16:15–18:00 (CEST)
 
vHall HS
Orals |
Tue, 14:00
Wed, 16:15
Wed, 16:15
HS8.2.9 EDI

Data-driven models are increasingly used to solve groundwater problems. These types of models require less knowledge about the subsurface and depend more on input and output data. Most common groundwater measurements are groundwater levels and, to a lesser extent, groundwater quality. The overarching question is how to obtain as much information as possible from these measurements. Data-driven models include, but are not limited to, time series models, machine learning models, AI models, statistical models, and lumped groundwater models. Models can, for example, be used to predict future groundwater levels or groundwater quality parameters, determine the effect of anthropogenic activity, or analyze data to support more traditional groundwater modeling methods. In this session, we seek especially contributions on the development of:
- new and improved data-driven methods to model groundwater time series and point data,
- applications and comparative studies of existing methods to solve groundwater problems with data-driven models,
- approaches to typical challenges, such as non-stationary time series, irregular time steps and data scarcity in general,
- concepts and approaches for regionalization, e,g., transfer of model data to unmonitored sites using similarity-, regression- or signature-based methods,
- approaches to improve hydrogeological system understanding from data-driven models and their parameters.

Convener: Ezra Haaf | Co-conveners: Tanja Liesch, Raoul Collenteur, Inga Retike, Mark Bakker
Orals
| Wed, 26 Apr, 14:00–17:35 (CEST)
 
Room 2.31
Posters on site
| Attendance Wed, 26 Apr, 10:45–12:30 (CEST)
 
Hall A
Posters virtual
| Wed, 26 Apr, 10:45–12:30 (CEST)
 
vHall HS
Orals |
Wed, 14:00
Wed, 10:45
Wed, 10:45

HS8.3 – Subsurface hydrology – Vadose zone hydrology

Programme group scientific officer: Roland Baatz

HS8.3.1

This session aims to bring together scientists advancing the understanding of vadose zone hydrology from the pore- to the catchment- and continental scale. Modeling and observation of vadose zone processes aims at characterizing soil properties, quantifying vadose zone water fluxes including exchange with aquifers and surface waters and feedbacks within the soil-vegetation-atmosphere continuum. The states of soil, air and water in the vadose zone affect soil biogeochemical processes, vegetation water availability, nutrient and pollutant transport at local scale, catchment response functions and rainfall-runoff processes at intermediate scale, land-atmosphere interaction and land-climate feedbacks at the continental scale. Recent continental-scale drought events urge the need for improved vadose zone process understanding and it challenges current process descriptions and parameterizations in modelling the vadose zone. Guided by advanced sensor technologies, high-frequency observations and reanalysis, scientists are able to bridge scales and deduct processes at unprecedented resolutions for an in-depth more data-driven understanding of vadose zone processes.
We invite you to submit contributions from experimental, field and laboratory studies as well as synthetic and modeling studies from the pore to continental scales. Contributions to this session include soil hydrological processes, characterization of soil properties, soil biogeochemical processes, transport of pollutants, and studies on the soil-vegetation-atmosphere system. Presentations of novel, interdisciplinary approaches and techniques are also highly welcome.

Co-sponsored by ISMC, ICID, and ICARDA
Convener: Roland Baatz | Co-conveners: Mira Haddad, Sara Bonetti, Martina Siena, Marco Peli, Stefano Barontini, Stefano Ferraris
Orals
| Tue, 25 Apr, 16:15–18:00 (CEST)
 
Room 3.16/17, Wed, 26 Apr, 08:30–10:15 (CEST), 10:45–12:30 (CEST)
 
Room 3.16/17
Posters on site
| Attendance Wed, 26 Apr, 16:15–18:00 (CEST)
 
Hall A
Posters virtual
| Wed, 26 Apr, 16:15–18:00 (CEST)
 
vHall HS
Orals |
Tue, 16:15
Wed, 16:15
Wed, 16:15
HS8.3.2 EDI

The interactions between plants and the environment play a prominent role in terrestrial fluxes and biochemical cycles. However, we still lack detailed knowledge of how these interactions impact plant growth and plant access to soil resources, particularly under deficient conditions. The main challenge arises from the complexity inherent to both soil and plants. To address these knowledge gaps, an improved understanding of plant-related transfer processes is needed.
Experimental techniques such as non-invasive imaging and three-dimensional root system modeling tools have deepened our insights into the functioning of water and solute transport processes in the soil-plant system. Quantitative approaches that integrate across disciplines and scales constitute stepping-stones to foster our understanding of fundamental biophysical processes at the interface between soil and plants.
This session targets research investigating plant-related resource transfer processes across different scales (from the rhizosphere to the global scale) and welcomes scientists from multiple disciplines ranging from soil to plant sciences. We are specifically inviting contributions on the following topics:
- Measuring and modeling of water and solute fluxes across soil-plant-atmosphere continuum at different scales.
- Novel experimental and modeling techniques assessing below-ground plant processes such as root growth, root water, and nutrient uptake, root exudation, microbial interactions, and soil aggregation
- Measuring and modeling of soil-plant hydraulics
- Bridging the gap between biologically and physically oriented research in soil and plant sciences
- Identification of plant strategies to better access and use resources from soil under abiotic stress
- Mechanistic understanding of drought impact on transpiration and photosynthesis and their predictions by earth system models

Co-organized by SSS9
Convener: Valentin Couvreur | Co-conveners: Mohsen Zare, Martin Bouda, Camilla Ruø Rasmussen
Orals
| Thu, 27 Apr, 10:45–12:30 (CEST), 14:00–18:00 (CEST)
 
Room 3.16/17
Posters on site
| Attendance Thu, 27 Apr, 08:30–10:15 (CEST)
 
Hall A
Posters virtual
| Thu, 27 Apr, 08:30–10:15 (CEST)
 
vHall HS
Orals |
Thu, 10:45
Thu, 08:30
Thu, 08:30
HS8.3.4 EDI

Understanding hydraulic processes in the unsaturated zone is crucial for assessing and mitigating climate change impacts, such as droughts that effect soil water storage and induce stress on vegetation including forests and agricultural land. Furthermore, knowledge of chemical fate and transport processes is essential for assessing soil functions and chemical risks, such as those arising from agricultural activities (fertilizers, pesticides, etc.). This requires a profound understanding of coupled dynamic processes in the soil-groundwater-plant system, including unsaturated water flow and reactive solute transport, as well as plant uptake of water, nutrients and pollutants.
Flow and transport processes in the vadose zone can encompass both the subsurface matrix and preferential flow paths, which can contribute differently to water flow and storage and chemical fate. The influence of vegetation is not only important at the upper boundary of the subsurface, but plants are also an active participant in the water and chemical cycle: thus, the consideration of coupled dynamics might be required.
This session aims to illustrate and discuss current research on flow processes within the unsaturated zone, including field studies and experiments, modeling approaches, and simulation studies. Studies may focus on soil processes or coupled soil-plant processes. More specifically, we encourage researchers to participate with contributions among the following topics:
• Monitoring of flow and transport in the unsaturated zone, from field and lysimeter studies to pore scale observations
• Measuring and modeling environmental tracers, including stable water isotopes, for characterizing subsurface flow processes at different spatial and temporal scales
• Geophysical investigations for determining structures and mechanisms that can induce preferential flow and transport in different dimensions
• Identification and quantification of water and solute transport processes, especially in the context of changing climate conditions that alter biogeochemical processes
• Investigating the influence of plant uptake and coupled soil-plant processes
• Development of new modeling approaches for describing unsaturated flow and reactive transport, as well as coupled soil-plant dynamics
• Sensitivity and uncertainty for model diagnostics and criticism, as well as surrogate-based numerical approaches to reduce the computational cost

Convener: Arno Rein | Co-conveners: Giuseppe Brunetti, Peter Dietrich, Cafer Turgut, Jiri Simunek
Orals
| Fri, 28 Apr, 08:30–10:15 (CEST)
 
Room 3.16/17
Posters on site
| Attendance Thu, 27 Apr, 08:30–10:15 (CEST)
 
Hall A
Posters virtual
| Thu, 27 Apr, 08:30–10:15 (CEST)
 
vHall HS
Orals |
Fri, 08:30
Thu, 08:30
Thu, 08:30

HS9 – Erosion, sedimentation & river processes

Programme group scientific officer: Olivier Evrard

HS9.1 EDI

Obtaining quantitative information on the spatial pattern of soil redistribution during storms and on the spatial sources supplying sediment to rivers is required to improve our understanding of the processes controlling these transfers and to design effective control measures. It is also crucial to quantify the transfer or the residence times of material transiting rivers along the sediment cascade, and to reconstruct the potential changes in sources that may have occurred at various temporal scales. During the last few decades, several sediment tracing or fingerprinting techniques have contributed to provide this information, in association with other methods (including soil erosion modelling and sediment budgeting). However, their widespread application is limited by several challenges that the community should address as priorities.
We invite specific contributions to this session that address any aspects of the following:
• Developments of innovative field measurement and sediment sampling techniques;
• Soil and sediment tracing techniques for quantifying soil erosion and redistribution;
• Sediment source tracing or fingerprinting studies, using conventional (e.g. elemental/isotopic geochemistry, fallout radionuclides, organic matter) or alternative (e.g. colour, infrared, particle morphometry) approaches;
• Investigations of the current limitations associated with sediment tracing studies (e.g. tracer conservativeness, uncertainty analysis, particle size and organic matter corrections);
• Applications of radioisotope tracers to quantify sediment transit times over a broad range of timescales (from the flood to the century);
• The association of conventional techniques with remote sensing and emerging technologies (e.g. LiDAR);
• Integrated approaches to developing catchment sediment budgets: linking different measurement techniques and/or models to understand sediment delivery processes.

Co-organized by GM2
Convener: Olivier Evrard | Co-conveners: Hugh Smith, Núria Martínez-Carreras, Leticia Gaspar
Orals
| Tue, 25 Apr, 14:00–15:45 (CEST)
 
Room 2.44
Posters on site
| Attendance Wed, 26 Apr, 08:30–10:15 (CEST)
 
Hall A
Orals |
Tue, 14:00
Wed, 08:30
HS9.2 EDI | PICO

The transfer of sediments and associated contaminants play an important role in catchment ecosystems as they directly influence water quality, habitat conditions and biogeochemical cycles. Contaminants may include heavy metals, pesticides, nutrients, radionuclides, and various organic, as well as organometallic compounds. The environmental risk posed by sediment-bound contaminants is largely determined by the sources and rate at which sediments are delivered to surface water bodies, the residence time in catchments, lakes and river systems as well as biogeochemical transformation processes. However, the dynamics of sediment and contaminant redistribution is highly variable in space and time due to the complex non-linear processes involved. This session thus focuses on sources, transport pathways, storage and re-mobilization, and travel times of sediments and contaminants across temporal and spatial scales as well as their impact on catchment and freshwater ecosystems.

This session particularly addresses the following issues:
- Delivery rates of sediments and contaminants from various sources (i.e. agriculture, urban areas, mining, industry or natural areas);
- Transport, retention and remobilization of sediments and contaminants in catchments and river reaches;
- Modelling of sediment and contaminant transport on various temporal and spatial scales;
- Biogeochemical controls on contaminant transport and transformation;
- Studies on sedimentary processes and morphodynamics, particularly sediment budgets;
- Linkages between catchment systems and lakes, including reservoirs;
- Analysis of sediment archives to appraise landscape scale variations in sediment and contaminant yield over medium to long time-scales;
- Impacts of sediments and contaminants on floodplain, riparian, hyporheic and other in-stream ecosystems;
- Response of sediment and contaminant dynamics in catchments, lakes and rivers to changing boundary conditions and human actions.

Convener: Ottavia Zoboli | Co-conveners: Marcel van der Perk, Núria Martínez-Carreras, Zsolt Jolánkai
PICO
| Mon, 24 Apr, 16:15–18:00 (CEST)
 
PICO spot 4
Mon, 16:15
HS9.3 EDI

Sedimentary processes in aquatic environments, including erosion, transport, and deposition of sediment by hydrodynamic mechanisms, are key features for various research disciplines, e.g., geomorphology and paleoclimatology or hydraulics, river engineering and water resources management and hydrology. Accurate quantification of erosion, transport, and deposition rates, conditioning river channel morphology, and bed composition, is fundamental for adequate development of conceptual sediment budget models and for the calibration and validation of the numerical tools.
The main goal of this session is to bring together the community of scientists, scholars, and engineers, investigating, teaching, and applying novel measurement techniques, numerical modelling and monitoring concepts, which are crucial in determining sedimentary and hydro-morphological processes in rivers, lakes, and reservoirs, estuaries as well as in coastal and maritime environments. It focuses on the quantification of bedload and suspended load, bedforms migration, channel horizontal migration, bed armouring and colmation, but also the transport mode, flocculation, settling, and re-suspension of the sediment particles.
Contributions are welcome with a particular focus on single and combined measurement techniques and numerical modelling, post-processing methods as well as on innovative and advanced monitoring concepts for field and laboratory applications. We welcome contributions containing recent results in a temporal and spatial scale on sediment budgets as well as on sedimentary and morpho-dynamic processes in open water environments.

Co-organized by GM5
Convener: Slaven Conevski | Co-conveners: Bernhard Vowinckel, Michele Trevisson, Wendy Gonzalez, Katharina Baumgartner, Kordula Schwarzwälder
Orals
| Tue, 25 Apr, 08:30–12:30 (CEST)
 
Room 2.44
Posters on site
| Attendance Tue, 25 Apr, 14:00–15:45 (CEST)
 
Hall A
Posters virtual
| Tue, 25 Apr, 14:00–15:45 (CEST)
 
vHall HS
Orals |
Tue, 08:30
Tue, 14:00
Tue, 14:00
PGM2
Sub-programme group meeting HS9 (by invitation only)
Convener: Olivier Evrard
Wed, 26 Apr, 10:30–11:30 (CEST)
 
Room 2.32
Wed, 10:30

HS10 – Ecohydrology, wetlands and estuaries: aquatic and terrestrial processes and interlinkages

Programme group scientific officer: Anke Hildebrandt

HS10.1

Ecohydrology, i.e., the study of the interactions between water and ecosystems, is expanding rapidly as a field of research, beyond traditional discipline boundaries in terms of questions and approaches. This session aims to draw examples from this wide field, portraying the current diversity and common features of research frontiers in ecohydrological studies, as well as the range of methods employed. We thus encourage contributions showing novel results or methods when tackling questions related to the coupling of ecological, biogeochemical and hydrological processes, at scales ranging from the single organ or organisms to whole ecosystem/catchment. Contributions relative to all terrestrial and aquatic systems are welcome, including those relative to managed ecosystems, showing how human intervention alters the interactions between water and ecosystems.

Convener: Christoph Hinz | Co-conveners: Sara Bonetti, Julian Klaus, Salvatore Calabrese, Fabrice Vinatier, Giulia Vico
Orals
| Tue, 25 Apr, 08:30–12:30 (CEST), 14:00–15:45 (CEST)
 
Room 3.16/17
Posters on site
| Attendance Tue, 25 Apr, 16:15–18:00 (CEST)
 
Hall A
Posters virtual
| Tue, 25 Apr, 16:15–18:00 (CEST)
 
vHall HS
Orals |
Tue, 08:30
Tue, 16:15
Tue, 16:15
HS10.2

Evapotranspiration (ET) is the key water flux at the interface of soil, vegetation and atmosphere. ET is difficult to measure directly, therefore a range of methods have been developed within different research disciplines to estimate ET. These methods cover different scales and contain measurement-specific uncertainties.

In-situ measurements include for example lysimeters, sap flow sensors, eddy covariance stations, scintillometers and approaches like the Bowen ratio method and others to estimate ET from ground-based measurements. However, estimating and scaling in-situ ET is prone to large method-specific uncertainties which are rarely communicated across the different disciplines. This is problematic if in-situ measurements are to be compared, combined or scaled up to match the grid resolution of remote sensing products or models.

Remote sensing of actual ET needs to be estimated and precisely mapped due to the broadening scope in the demand for more accurate and longer-term ET estimation in different fields of hydrology, water management, agriculture, forestry, and urban greening. Over the last five decades, numerous spaceborne and airborne sensors have been used to model, map, monitor and forecast ET at different spatiotemporal scales in various climates and eco-geographical regions for a range of vegetative land covers. Recent advances in image processing and artificial intelligence (machine learning, deep learning, etc.), as well as the growing number of satellites and sensors, have improved the accessibility and quality of images, which open more avenues for regular updating and upscaling.

This session addresses ET estimation with both in-situ and remote sensing methods. We invite contributions that (1) assess and compare established and new in-situ and remote sensing ET estimates, (2) evaluate and enhance accuracy, and address uncertainty in the respective methods, (3) bridge spatio-temporal scales in the different ET estimates or (4) incorporate remote sensing and in-situ measurements into process-based modelling approaches.

Co-organized by BG3
Convener: Sibylle K. Hassler | Co-conveners: Hamideh Nouri, Neda Abbasi, Ana Andreu, Jannis Groh, Pamela Nagler, Corinna Rebmann
Orals
| Mon, 24 Apr, 08:30–12:30 (CEST)
 
Room 3.16/17
Posters on site
| Attendance Mon, 24 Apr, 14:00–15:45 (CEST)
 
Hall A
Posters virtual
| Mon, 24 Apr, 14:00–15:45 (CEST)
 
vHall HS
Orals |
Mon, 08:30
Mon, 14:00
Mon, 14:00
HS10.3 EDI

Vegetation is a structured and complex layer that importantly affects Earth’s surface processes. Hydrologically, the canopy intercepts precipitation (eventually evaporating) and redistributes it into throughfall and stemflow. Along those pathways, matter deposited on or produced in the canopy is transported to the forest floor. Canopies also interact with radiation and atmospheric conditions, impacting transpiration and root water uptake. Such, vegetation and canopies affect balances of water, matter and energy as well as their spatio-temporal distribution and generate feedbacks in ecosystems, water bodies and atmosphere. Moreover, plants absorb the energy of falling raindrops, reduce wind speed and contribute to soil stabilization through their root system. In this way, vegetation impacts the occurrence of erosion events. Plant traits, depending on their characteristics, can be erosion-reducing or erosion-promoting. Also, significant differences in erosion can be observed between and within different plant communities and developmental stages of the plant cover. Various mechanisms behind these complex processes are still not understood in detail and require the interdisciplinary expertise of soil scientists, geomorphologists, ecologists and botanists, as well as (eco-)hydrologists. This session broadly invites contributions from various disciplines to illustrate recent progress in research on vegetation and canopy impacts on soil erosion, soils, biogeochemical and hydrological processes of all (eco)systems by experimental work or modeling.

Co-organized by BG3/SSS8
Convener: Johanna Clara Metzger | Co-conveners: Miriam Marzen, Kazuki Nanko, Steffen Seitz, Miriam Coenders-Gerrits, Jan Friesen, Pilar Llorens
Orals
| Thu, 27 Apr, 08:30–10:10 (CEST)
 
Room 2.31
Posters on site
| Attendance Thu, 27 Apr, 16:15–18:00 (CEST)
 
Hall A
Posters virtual
| Thu, 27 Apr, 16:15–18:00 (CEST)
 
vHall HS
Orals |
Thu, 08:30
Thu, 16:15
Thu, 16:15
HS10.4 EDI

Stable isotopes are powerful tools for tracing fluxes of water and associated nutrients in the soil-plant-atmosphere continuum. They are increasingly used by various disciplines to better understand the functioning of the soil-plant-atmosphere system. While new methods allow measurements at high spatial and temporal resolution, studies applying tracer methods are now tackling complex interactions between soil processes, plant physiology and ecology, and variable atmospheric drivers. As such, methodological developments and changes are happening quickly and have a strong bearing on process understanding and interpretation of findings. This session aims to address the current state of the art for methods, applications, and process interpretations using stable isotopes in the critical zone and to foster interdisciplinary exchange. We welcome experimental and modeling studies that present methodological developments and applications of isotope tracers to improve the actual knowledge of the water and nutrient exchanges at the soil-plant-atmosphere interfaces. Studies that seek to cross disciplinary boundaries and reveal new eco-hydrological process understanding are especially welcome.

Convener: Giulia Zuecco | Co-conveners: Jana von Freyberg, Magali Nehemy, Natalie Orlowski, Jesse Radolinski
Orals
| Fri, 28 Apr, 08:30–10:12 (CEST)
 
Room 2.31
Posters on site
| Attendance Fri, 28 Apr, 14:00–15:45 (CEST)
 
Hall A
Posters virtual
| Fri, 28 Apr, 14:00–15:45 (CEST)
 
vHall HS
Orals |
Fri, 08:30
Fri, 14:00
Fri, 14:00
HS10.7 EDI

Peatlands develop in specific hydrological settings and are thus sensitive to changes in climate and hydrological boundary conditions. The hydrology of peatlands is fundamental to their functions and development. Soil hydrological properties can change drastically after disturbances such as drainage, permafrost thaw, or mechanical compaction, causing challenges for both model parameterization and re-wetting measures. Pristine peatlands offer and regulate many ecosystem services such as biodiversity, carbon storage, and nutrient retention. Hydrology is a key control for a number of these services. Furthermore, the effects of peatlands (both pristine and disturbed) on flood retention, support of low flows and regional climate are much debated. As hydrological and biotic processes in peatlands are strongly coupled, estimating the eco-hydrological response of peatlands under climate change and linking it to vegetation development and greenhouse gas emissions is a demanding task for modelers.

This session addresses peatlands in all latitudes, and we especially encourage papers on permafrost and tropical peatlands for which field studies are scarce and the inclusion into Earth system models is largely pending. We welcome submissions on: (1) hydrological processes operating in all types of peatlands (pristine, disturbed, degraded, drained, managed, rehabilitated or re-wetted) in northern and tropical latitudes; and (2) the first-order control of peatland hydrology on all kinds of peatland functions.

We aim to boost knowledge transfer across spatial/temporal scales and methods; from the pore to the global scale, including laboratory, field, remote sensing, and modeling studies on hydrological, hydrochemical, biogeochemical, ecohydrological or geophysical topics, as well as ecosystem service assessments.

Co-organized by BG3
Convener: Emma Shuttleworth | Co-conveners: Michel Bechtold, Alex Cobb, Marie Larocque
Orals
| Thu, 27 Apr, 14:00–17:55 (CEST)
 
Room 2.15
Posters on site
| Attendance Fri, 28 Apr, 10:45–12:30 (CEST)
 
Hall A
Orals |
Thu, 14:00
Fri, 10:45
HS10.8 EDI

Groundwater-surface water interfaces are integral components of aquifer-river and aquifer-lake continua. Groundwater-surface water interactions result in strong bidirectional interactions between surface waters, aquifers and connecting interfaces such as hyporheic zones, benthic zones, riparian corridors and lake sediments. Current research focuses on the effects of water exchange on the transport and transformation of nutrients, microplastics and pollutants. It also addresses the control of heat, oxygen and organic matter budgets available to microorganisms and macroinvertebrates in sediments. There is still a need to better understand the links between physical, biogeochemical, and ecological process dynamics at groundwater-surface water interfaces and their implications for fluvial ecology or limnology, respectively. It is important to consider the response of exchange fluxes to environmental and climate effects at different spatial and temporal scales (e.g. river channel, alluvial aquifer, regional groundwater flow). We see the biggest and most urgent challenges of this research in upscaling and downscaling of a general conceptual framework and an improved process understanding for groundwater-surface water interfaces. We also welcome contributions that address the development and application of novel experimental methods to study the physical, biogeochemical and ecological conditions at the groundwater-surface water interface in rivers, lakes, riparian zones and wetlands. We are also looking forward to investigating the role of hyporheic processes in the retention and natural attenuation of nutrients and pollutants, particularly with regard to their impact on surface and groundwater quality. In addition to experimental work, we are interested in hydrological, biogeochemical and ecological modelling approaches (e.g. transient storage models, coupled groundwater-surface water models, etc.). Finally, we welcome the presentation of research on the impact of groundwater-surface water interactions on management and risk assessment in view of the European Water Framework Directive.

Convener: Fulvio Boano | Co-conveners: Jan Fleckenstein, Julia Knapp, Stefan Krause, Jörg Lewandowski
Orals
| Fri, 28 Apr, 10:45–12:30 (CEST)
 
Room 2.31
Posters on site
| Attendance Fri, 28 Apr, 14:00–15:45 (CEST)
 
Hall A
Posters virtual
| Fri, 28 Apr, 14:00–15:45 (CEST)
 
vHall HS
Orals |
Fri, 10:45
Fri, 14:00
Fri, 14:00
HS10.9 EDI

As confined water bodies with limited exchanges, lakes and inland seas are particularly vulnerable to climatic and human impacts accumulated over broad catchment areas. Hence, they mirror both the global change effects and
anthropogenic pressures, perhaps, stronger than any other aquatic objects. Lakes and inland seas
also play an important role in ecosystem services such as fisheries, aquaculture, tourism, and others. These multifunctional roles require careful governance measures to avoid hydrological and environmental deterioration.
Research of lakes and inland seas admits many common approaches and techniques. Oceanographic methodology and instrumentation are often applicable to limnological studies. Reciprocally, insights obtained from lakes can also be instructive with respect to marine systems. This interdisciplinary session provides a joint forum for oceanographers, limnologists, and hydrologists interested in processes governing physical, chemical, and biological regimes of various lakes and inland seas of the world, as well as their responses to climate change and anthropogenic impacts.

Convener: Georgiy Kirillin | Co-conveners: Giulia Valerio, Damien Bouffard, Tom Shatwell
Orals
| Fri, 28 Apr, 14:00–15:45 (CEST), 16:15–17:50 (CEST)
 
Room 2.31
Posters on site
| Attendance Fri, 28 Apr, 10:45–12:30 (CEST)
 
Hall A
Orals |
Fri, 14:00
Fri, 10:45
HS10.10 EDI

Using natural and nature-based features (NNBFs) in designing new infrastructure while preserving impacted ecosystems are long-standing goals in civil and environmental engineering. These goals are also an increasing focus of scientific research, as the demand for environmentally- friendly solutions to traditional engineering challenges grows. This session invites presentations on two emergent and highly multi-disciplinary topics in the field of water resources planning and management: (1) The incorporation of NNBFs in new infrastructure designs, and (2) the management of river systems impacted by hydropeaking- the discontinuous release of turbined water in response to peaks in energy demand that causes artificial flow and river stage fluctuations downstream of hydropower plants. Under the first topic area, a particular focus is given to innovation that advances the methods, models, and techniques used to capture the co-evolution of biological and physical processes that contribute to the performance of NNBFs in infrastructure designs. Under the second topic area, a particular focus is given to research that advances our understanding of the hydrologic, sediment transport, biotic and hydrogeochemical processes affected by fluctuations in river flows. Presentations under both topic areas are expected to cover a range of computational, field, and laboratory experiments that address multiple spatial and temporal scales in various riverine and coastal environments. The session’s presentations will focus on interactions between ecohydrological processes and new and existing water resources infrastructures.

Convener: Gabriele Chiogna | Co-conveners: John Kucharski, Marie-Pierre Gosselin, Daniel S. Hayes, Marriah Abellera, Bregje van Wesenbeeck, Mauro Carolli
Orals
| Thu, 27 Apr, 10:45–12:30 (CEST)
 
Room 2.31
Posters on site
| Attendance Thu, 27 Apr, 16:15–18:00 (CEST)
 
Hall A
Posters virtual
| Thu, 27 Apr, 16:15–18:00 (CEST)
 
vHall HS
Orals |
Thu, 10:45
Thu, 16:15
Thu, 16:15
PGM3
Sub-programme group meeting HS10 (by invitation only)
Convener: Anke Hildebrandt
Thu, 27 Apr, 12:45–13:45 (CEST)
 
Room 2.33
Thu, 12:45

HS11 – Short Courses of specific interest to Hydrological Sciences

Programme group scientific officer: Alberto Viglione

SC4.10 EDI

One of the major challenges in water resources management today and in the coming future is reducing the risk related to extreme events, i.e. floods and droughts, mainly through a reliable flow prediction. Large-scale hydrological models have been widely proposed to gain insights into dominant water processes, quantify the role of human-water interactions, and identify emergent global patterns in a changing world.

This short course aims at gaining a better understanding of:
- Historical overview of the field
- State-of-the-art, example studies
- Future directions, emerging opportunities
- How you could get started in large-scale hydrological modelling

We are delighted to announce Dr. Niko Wanders from Utrecht University as the lecturer of this short course.

This will be the sixth year that the Hydroinformatics for Hydrology short course is run. The previous themes of the course were data-driven and hybrid techniques, data assimilation, geostatistical modelling, uncertain analysis, and extreme value modelling.

We kindly invite early career hydrologic researchers (MSc students, Ph.D. candidates, and post-doctoral researchers) to attend this short course. Please note that pre-registration is not necessary. The course will be open to a limited number of participants selected on a first come-first served basis. We suggest you arrive at the room assigned a little earlier to ensure you find an empty seat.

For any additional information, please contact the conveners. In cooperation with the Young Hydrologic Society (http://younghs.com/).

Co-organized by CL6/HS11, co-sponsored by YHS
Convener: Maurizio Mazzoleni | Co-conveners: Sina Khatami, Harsh Beria, Hannes Müller-Thomy, Nilay Dogulu
Wed, 26 Apr, 08:30–10:15 (CEST)
 
Room -2.61/62
Wed, 08:30
SC3.9 EDI

Visualisation of scientific data is an integral part of scientific understanding and communication. Scientists have to make decisions about the most effective way to communicate their results everyday. How do we best visualise the data to understand it ourselves? How do we best visualise our results to communicate with others? Common pitfalls can be overcrowding, overcomplicated plot types or inaccessible color schemes. Scientists may also get overwhelmed by the graphics requirements of different publishers, for presentations, posters etc. This short course is designed to help scientists improve their data visualization skills in a way that the research outputs would be more accessible within their own scientific community and reach a wider audience.
Topics discussed include:
- Choosing a plot type – keeping it simple
- Color schemes – which ones to use or not to use
- Creativity vs simplicity – finding the right balance
- Producing your figures and maps – software and tools
- Figure files – publication ready resolutions
This course is co-organized by the Young Hydrologic Society (YHS), enabling networking and skill enhancement of early career researchers worldwide. Our goal is to help you make your figures more accessible by a wider audience, informative and beautiful. If you feel your graphs could be improved, we welcome you to join this short course.

Co-organized by ESSI2/GM12/HS11/NH12/OS5/PS9, co-sponsored by YHS
Convener: Swamini Khurana | Co-conveners: Edoardo Martini, Paola Mazzoglio, Epari Ritesh Patro, Roshanak Tootoonchi
Thu, 27 Apr, 16:15–18:00 (CEST)
 
Room -2.61/62
Thu, 16:15
SC4.9

Science impacts human society in many ways but of
particular importance is the application of scientific
results to the design of forecasting systems.
Forecasting systems are indispensable for making
informed decisions under risk. Informative and reliable
weather forecasts for instance help to better prepare
for or to reduce the exposure to adverse weather.
Therefore, there is a need for an objective and well
understood framework for ``forecast verification'',
i.e. qualitative and quantitative assessment of
forecast performance.

Statistical methods compare historical forecasts with
corresponding verifications, indicating whether the
forecasting system behaved significantly different (in
a statistical sense) from what was expected.

This short course will introduce the participants to
the fundamentals of statistical forecast verification.
Some necessary statistical theory will be discussed as well, and some hands-on numerical experiments will take place using freely available code. More specifically, the course will cover the following topics (more or less in that order)

* Forecast types and scoring rules
* Tests and p-values
* How to cope with dependent data
* How to cope with forecasts of spatial fields
* Code, literature, and further resources

Target audience are researchers (both from academic institutions and operational centres) who are either new to forecast verification or who have practical experience but want to know more about the theory. The course is NOT restricted to atmospheric forecasts, nor exclusively to the assessment of operational forecasting systems. The discussed methods are applicable in many other fields such as parameter estimation, data assimilation, model evaluation, and machine learning.

Co-organized by AS6/CL6/ESSI2/GM12/HS11/NH12/NP9
Convener: Jochen Broecker | Co-convener: Sebastian Buschow
Mon, 24 Apr, 08:30–10:15 (CEST)
 
Room -2.85/86
Mon, 08:30
SC4.6

Since Claude Shannon coined the term 'Information Entropy' in 1948, Information Theory has become a central language and framework for the information age. Across disciplines, it can be used for i) characterizing systems, ii) quantifying the information content in data and theory, iii) evaluating how well models can learn from data, and iv) measuring how well models do in prediction. Due to their generality, concepts and measures from Information Theory can be applied to both knowledge- and data-based modelling approaches, and combinations thereof, which makes them very useful in the context of Machine Learning and hybrid modeling.
In this short course, we will introduce the key concepts and measures of Information Theory (Information, Entropy, Conditional Entropy, Mutual Information, Cross Entropy and Kullback-Leibler divergence), with practical examples of how they have been applied in Earth Science, and give a brief introduction to available open-source software.
This course assumes no previous knowledge or experience with Information Theory and welcomes all who are intrigued to learn more about this powerful theory.

Co-organized by AS6/HS11/NP9
Convener: Uwe Ehret | Co-convener: Stephanie Thiesen
Fri, 28 Apr, 08:30–10:15 (CEST)
 
Room -2.85/86
Fri, 08:30
SC3.13

Achieving policy impact requires a distinct set of ‘Science4Policy’ competences. Discover the ‘Science4Policy’ Competence Framework and why it is essential knowledge for researchers and research organisations working at the science-policy interface.

Why join?
Are you a researcher interested in building competences to ensure policy impact? Would you like to do your self-assessment to evaluate your ‘Science4Policy’ competences? Then join us for this interactive workshop, where participants will be introduced to the ‘Science4Policy’ Competence Framework, the possible uses of it (e.g. self-assessment for individuals and teams) and get the opportunity to interact with it in a playful way.

Co-organized by EOS4/CL6/GM12/HS11/NH12/SSP5
Convener: Lene Topp | Co-convener: Chloe Hill
Wed, 26 Apr, 16:15–18:00 (CEST)
 
Room -2.61/62
Wed, 16:15
SC4.8

Observations and measurements of geoscientific systems and their dynamical phenomena are genuinely obtained as time series or spatio-temporal data whose dynamics usually manifests a nonlinear multiscale (in terms of time and space) behavior. During the past decades, dynamical system, information theoretic, and stochastic approaches have rapidly developed and allow gaining novel insights on a great diversity of phenomena like weather and climate dynamics, turbulence in fluids and plasmas, or chaos in dynamical systems.

In this short course, we will provide an overview on a selection of contemporary topics related with complex systems based approaches and their utilization across the geosciences, exemplified by recent successful applications from various fields from paleoclimate over present-day atmospheric dynamics to Space Weather. The focus will be on tipping points and associated early warning indicators, the identification of causal relations among a multitude of observables, and how to combine both approaches in a multi-scale dynamical framework. The discussed data analysis tools are promising for investigating various aspects of both known and unknown physical processes.

Co-organized by AS6/CL6/CR8/HS11/NH12/NP9/OS5/SSP5
Convener: Tommaso Alberti | Co-conveners: Peter Ditlevsen, Reik Donner
Thu, 27 Apr, 16:15–18:00 (CEST)
 
Room 0.15
Thu, 16:15
SC4.2 EDI

What is the “Potsdam Gravity Potato”? What is a reference frame and why is it necessary to know in which reference frame GNSS velocities are provided? Geodetic data, like GNSS data or gravity data, are used in many geoscientific disciplines, such as hydrology, glaciology, geodynamics, oceanography and seismology. This course aims to give an introduction into geodetic datasets and presents what is necessary to consider when using such data. This 90-minute short course is part of the quartet of introductory 101 courses on Geodynamics 101, Geology 101 and Seismology 101.

The short course Geodesy 101 will introduce basic geodetic concepts within the areas of GNSS and gravity data analysis. In particular, we will talk about:
- GNSS data analysis
- Reference frames
- Gravity data analysis
We will also show short examples of data handling and processing using open-source software tools. Participants are not required to bring a laptop or have any previous knowledge of geodetic data analysis.

Our aim is to give you more background information on what geodetic data can tell us and what not. You won’t be a Geodesist by the end of the short course, but we hope that you are able to have gained more knowledge about the limitations as well as advantages of geodetic data. The course is run by scientists from the Geodesy division, and is aimed for all attendees (ECS and non-ECS) from all divisions who are using geodetic data frequently or are just interested to know what geodesists work on on a daily basis. We hope to have a lively discussion during the short course and we are also looking forward to feedback by non-geodesists on what they need to know when they use geodetic data.

Co-organized by CR8/G7/GD11/HS11/SM9/TS15
Convener: Rebekka Steffen | Co-conveners: Thomas Knudsen, Andreas Kvas, Benedikt Soja, Kristian Evers
Mon, 24 Apr, 16:15–18:00 (CEST)
 
Room -2.85/86
Mon, 16:15

HS12 – Inter- and transdisciplinary sessions (ITS) related to Hydrological Sciences

Programme group scientific officer: Alberto Viglione

HS13 – Further sessions of interest to Hydrological Sciences

Programme group scientific officer: Alberto Viglione

CL4.1 EDI

Land–atmosphere interactions often play a decisive role in shaping climate extremes. As climate change continues to exacerbate the occurrence of extreme events, a key challenge is to unravel how land states regulate the occurrence of droughts, heatwaves, intense precipitation and other extreme events. This session focuses on how natural and managed land surface conditions (e.g., soil moisture, soil temperature, vegetation state, surface albedo, snow or frozen soil) interact with other components of the climate system – via water, heat and carbon exchanges – and how these interactions affect the state and evolution of the atmospheric boundary layer. Moreover, emphasis is placed on the role of these interactions in alleviating or aggravating the occurrence and impacts of extreme events. We welcome studies using field measurements, remote sensing observations, theory and modelling to analyse this interplay under past, present and/or future climates and at scales ranging from local to global but with emphasis on larger scales.

Co-organized by AS2/BG9/HS13/NH11
Convener: Adriaan J. (Ryan) Teuling | Co-conveners: Wim Thiery, Diego G. Miralles, Sonia Seneviratne, Gianpaolo Balsamo
Orals
| Thu, 27 Apr, 08:30–12:25 (CEST)
 
Room F1
Posters on site
| Attendance Fri, 28 Apr, 16:15–18:00 (CEST)
 
Hall X5
Posters virtual
| Fri, 28 Apr, 16:15–18:00 (CEST)
 
vHall CL
Orals |
Thu, 08:30
Fri, 16:15
Fri, 16:15
CR2.3 EDI | PICO

This interdisciplinary session brings together modellers and observationalists to present results and exchange knowledge and experience in the use of data assimilation in the cryospheric sciences such as inverse methods, geostatistics and machine learning. In numerous research fields it is now possible to not only deduce static features of a physical system but also to retrieve information on transient processes between different states or even regime shifts. In the cryospheric sciences a large potential for future developments lies at the intersection of observations and models with the aim to improve prognostic capabilities in space and time. Compared to other geoscientific disciplines like meteorology or oceanography, where techniques such as data assimilation have been well established for decades, in the cryospheric sciences only the foundation has been laid for the use of these techniques, one reason often being the sparsity of observations. We invite contributions from a wide range of methodological backgrounds - from satellite observations to deep-looking geophysical methods and advancements in numerical techniques - and research topics including permafrost, sea ice and snow to glaciers and ice sheets, covering static system characterisation as well as transient processes.

Co-organized by CL5/GI5/HS13
Convener: Elisa Mantelli | Co-conveners: Johannes Sutter, Nanna Bjørnholt Karlsson, Olaf Eisen
PICO
| Fri, 28 Apr, 10:45–12:30 (CEST)
 
PICO spot 3a
Fri, 10:45
BG3.8 EDI | PICO

Although climate change is a natural process, it is significantly stimulated by anthropogenic activities. The acceleration of climate change is directly connected with ecological stability, soil degradation, and hydrological extremes, which are considered as the main consequences of climate change. As climate change intensifies, extreme and unexpected weather events are becoming more frequent.
The aim of this session is to highlight a broad range of research methods and results related to climate change. This interdisciplinary session should reflect, discuss, and share scientific knowledge on a local and regional scale with the aim to increase innovative knowledge on climate change and its impacts, ecosystem response and new techniques to prevent and reduce the negative consequences.

This session awaits a variety of studies related to:
- climate change impacts (biodiversity loss, rising temperatures, hydrological change and extremes, soil degradation, ecosystem response to climate change);
- drought, precipitation deficiency or extreme precipitation with solutions aimed at reducing the negative impacts of droughts;
- ecological stability and climate change - how climate change affects ecological stability (reducing the degree of ecological stability, deforestation, human interactions with the environment) and evaluation of restoration success;
- construction of green buildings to support and increase the stability of the landscape;
- techniques and methods to prevent and reduce the negative impacts of climate change (such as soil degradation, carbon sequestration, changes in natural, agricultural, and forest ecosystems, reduction of overall ecological stability and character of the landscape);
- in addition, attention will be given to the sustainability of management practices, the importance of appropriate land use management as the main tool for preventing the degradation processes, the distribution and vitality of ecosystems, and improving the condition of forest ecosystems in order to increase the overall character of the landscape.

Co-organized by HS13
Convener: Zuzana Németová | Co-conveners: Borbála Széles, András Herceg, Silvia Kohnová
PICO
| Wed, 26 Apr, 14:00–18:00 (CEST)
 
PICO spot 3b
Wed, 14:00
CR2.2 | PICO

Geophysical and in-situ measurements provide important baseline datasets, as well as validation for modelling and remote sensing products. They are used to advance our understanding of firn, ice-sheet and glacier dynamics, sea ice processes, changes in snow cover and snow properties, snow/ice-atmosphere-ocean interactions, permafrost degradation, geomorphic mechanisms, and changes in en-glacial and sub-glacial conditions.

In this session, we welcome contributions related to a wide spectrum of methods, including, but not limited to, advances in radioglaciology, active and passive seismology, geoelectrics, acoustic sounding, fibre-optic sensing, GNSS reflectometry, signal attenuation, and time delay techniques, cosmic ray neutron sensing, ROV and drone applications, and electromagnetic methods. Contributions can include  field applications, new approaches in geophysical or in-situ survey techniques, or theoretical advances in data analysis processing or inversion. Case studies from all parts of the cryosphere, including snow and firn, alpine glaciers, ice sheets, glacial and periglacial environments, permafrost and rock glaciers, or sea ice, are highly welcome.

The focus of the session is to share  experiences in the application, processing, analysis, and interpretation of different geophysical and in-situ techniques in these highly complex environments. We have been running this session for more than a decade and it always produces lively and informative discussion.

Co-organized by CL5/GI5/HS13/SM6
Convener: Emma C. Smith | Co-conveners: Franziska Koch, Winnie Chu, Polona Itkin
PICO
| Fri, 28 Apr, 14:00–15:45 (CEST), 16:15–18:00 (CEST)
 
PICO spot 3a
Fri, 14:00
SSS6.3

Soils largely contribute to sustain agro-systems production and provide many ecosystem services that are essential for addressing sustainable land and water management. Management of both soil and water resources is a primary socio-economic concern that requires a detailed description of the physical and biological process that occur into the soil-plant-atmosphere continuum system. Nevertheless, measuring soil state variables and hydraulic parameters is often difficult due to the many complex nonlinear physical, chemical and biological interactions that simultaneously control the transfer of heat and mass. Infiltration experiments have been proposed as a simple mean to estimate soil hydraulic properties but their effectiveness is hampered by the effects of spatio-temporal variability across scales. High-resolution measurements of soil state variables, both over space and time, are thus crucial to describe and analyze soil hydraulic properties adequately and understand flow processes, including preferential flows.
The session focuses on the principles, capabilities, and applications of different techniques for monitoring state variables of soil and estimating soil hydraulic properties and accounting for preferential flows. Specific topics include, but are not limited to:

• Multiple measurement techniques and modelling approaches for determining state variables of soil;
• Innovative soil-water measurements techniques for linking the interactions of soil with plant and atmosphere compartments;
• Field infiltration techniques from a wide variety of devices in combination with dielectric and geophysical methods (i.e., TDR, FDR, GPR, ERT, etc.);
• Understanding the effect of physical processes and geochemical processes on the dynamics of macropore-fracture and preferential flows across scales;
• Understanding the contribution of preferential flow to flow and mass transport in the vadose zone;
• New or revisited numerical and analytical models to account for physical, chemical and biological interaction in the soil-water flow models (multiple-porosity, permeability, hydrophobicity, clogging, shrinking-swelling, or biofilm development);
• Use of pedotransfer functions based on limited available in-situ measurements to estimate parameters that describe soil hydro-physical and thermal characteristics;
• Multi-data source methodologies also in combination with modelling for assessing the soil physics dynamics at different temporal and spatial scales.

Co-organized by BG3/HS13
Convener: Simone Di Prima | Co-conveners: Laurent Lassabatere, Majdi R. Abou Najm, Ilenia Murgia, Vilim Filipović, Jorge Lampurlanes, Giuseppe Longo-Minnolo
Orals
| Wed, 26 Apr, 08:30–10:10 (CEST), 10:45–12:25 (CEST)
 
Room -2.20
Posters on site
| Attendance Wed, 26 Apr, 14:00–15:45 (CEST)
 
Hall X3
Posters virtual
| Wed, 26 Apr, 14:00–15:45 (CEST)
 
vHall SSS
Orals |
Wed, 08:30
Wed, 14:00
Wed, 14:00
SSS11.3 EDI | PICO

A well-designed experiment is a crucial methodology in Soil Science, Geomorphology and Hydrology.
Depending on the specific research topic, a great variety of temporal and spatial scales is addressed.
From raindrop impact and single particle detachment to the shaping of landscapes: experiments are designed and conducted to illustrate problems, clarify research questions, develop and test hypotheses, generate data and deepen process understanding.
Every step involved in design, construction, conduction, processing and interpretation of experiments and experimental data might be a challenge on itself, and discussions within the community can be a substantial and fruitful component for both, researchers and teachers.
This PICO session offers a forum for experimentalists, teachers, students and enthusiasts.
We invite you to present your work, your questions, your results and your method, to meet, to discuss, to exchange ideas and to consider old and new approaches.
Join the experimentalists!

Co-organized by EOS2/GM3/HS13
Convener: Miriam Marzen | Co-conveners: Thomas Iserloh, Jorge Isidoro, Petr Kavka, Anette Eltner
PICO
| Fri, 28 Apr, 08:30–10:15 (CEST)
 
PICO spot 3b
Fri, 08:30
BG4.3 EDI

Our ability to understand biogeochemical cycles of carbon, nitrogen and phosphorus in aquatic ecosystems has evolved enormously thanks to advancements in in situ and laboratory measurement techniques. We are now able to provide a detailed characterisation of aquatic organic matter with spectroscopic and chromatographic methods and collect data on nitrogen and phosphorus concentrations in relation to highly dynamic hydrological events thanks to automated in situ instruments. Therefore, the aim of this session is to demonstrate how this methodological advancement improves our understanding of coupled hydrological, biogeochemical and ecological processes in aquatic environments controlling the fate of organic matter, nutrients and other chemicals.

Specifically, our ability to characterise different fractions of natural organic matter and organic carbon has increased thanks to a range of analytical methods e.g. fluorescence and absorbance spectroscopy, mass spectrometry and chromatography combined with advanced data mining tools. Matching the water quality measurement interval with the timescales of hydrological responses (from minutes to hours) thanks to automated in situ wet-chemistry analysers, optical sensors and lab-on-a-chip instruments has led to discovery of new hydrochemical and biogeochemical patterns in aquatic environments e.g. concentration-discharge hysteresis and diurnal cycles. We need to understand further how hydrochemical and ecological processes control those patterns, how different biogeochemical cycles are linked in aquatic environments and how human activities disturb those biogeochemical cycles by emitting excess amounts of nutrients to aquatic systems. In particular, there is a growing need to better characterise the origins, delivery pathways, transformations and environmental fate of organic matter and nutrients in aquatic environments along with identification of robust numerical tools for advanced data processing and modelling.

As current aquatic biogeochemical cycles processes alter with emerging climate change and extreme events, this session welcomes also studies presenting approaches and tools to monitor, model, and predict water quality under climate change in individual water bodies and parsimonious conceptual models on large river basin-, regional and global scales.

Co-organized by HS13
Convener: Magdalena Bieroza | Co-conveners: Tobias Houska, Jingshui Huang, Andrea Butturini, Diane McKnight, Matthias Pucher, Philipp Maurischat
Orals
| Wed, 26 Apr, 08:30–10:15 (CEST), 10:45–12:30 (CEST)
 
Room 2.95
Posters on site
| Attendance Wed, 26 Apr, 14:00–15:45 (CEST)
 
Hall A
Posters virtual
| Wed, 26 Apr, 14:00–15:45 (CEST)
 
vHall BG
Orals |
Wed, 08:30
Wed, 14:00
Wed, 14:00
NP5.1

Statistical post-processing techniques for weather, climate, and hydrological forecasts are powerful approaches to compensate for effects of errors in model structure or initial conditions, and to calibrate inaccurately dispersed ensembles. These techniques are now an integral part of many forecasting suites and are used in many end-user applications such as wind energy production or flood warning systems. Many of these techniques are flourishing in the statistical, meteorological, climatological, hydrological, and engineering communities. The methods range in complexity from simple bias correction up to very sophisticated distribution-adjusting techniques that take into account correlations among the prognostic variables.

At the same time, a lot of efforts are put in combining multiple forecasting sources in order to get reliable and seamless forecasts on time ranges from minutes to weeks. Such blending techniques are currently developed in many meteorological centers. These forecasting systems are indispensable for societal decision making, for instance to help better prepare for adverse weather. Thus, there is a need for objective statistical framework for "forecast verification'', i.e. qualitative and quantitative assessment of forecast performance.

In this session, we invite presentations dealing with both theoretical developments in statistical post-processing and evaluation of their performances in different practical applications oriented toward environmental predictions, and new developments dealing with the problem of combining or blending different types of forecasts in order to improve reliability from very short to long time scales.

Co-organized by AS1/CL5/HS13
Convener: Maxime Taillardat | Co-conveners: Stéphane Vannitsem, Jochen Broecker, Sebastian Lerch, Stephan Hemri, Daniel S. Wilks, Julie Bessac
Orals
| Wed, 26 Apr, 14:00–15:45 (CEST)
 
Room -2.31
Posters on site
| Attendance Tue, 25 Apr, 14:00–15:45 (CEST)
 
Hall X4
Posters virtual
| Tue, 25 Apr, 14:00–15:45 (CEST)
 
vHall ESSI/GI/NP
Orals |
Wed, 14:00
Tue, 14:00
Tue, 14:00
NP5.2 EDI

Inverse Problems are encountered in many fields of geosciences. One class of inverse problems, in the context of predictability, is assimilation of observations in dynamical models of the system under study. Furthermore, objective quantification of the uncertainty during data assimilation, prediction and validation is the object of growing concern and interest.
This session will be devoted to the presentation and discussion of methods for inverse problems, data assimilation and associated uncertainty quantification throughout the Earth System like in ocean and atmosphere dynamics, atmospheric chemistry, hydrology, climate science, solid earth geophysics and, more generally, in all fields of geosciences.
We encourage presentations on advanced methods, and related mathematical developments, suitable for situations in which local linear and Gaussian hypotheses are not valid and/or for situations in which significant model or observation errors are present. Specific problems arise in situations where coupling is present between different components of the Earth system, which gives rise to the so called coupled data assimilation.
Of interest are also contributions on weakly and strongly coupled data assimilation - methodology and applications, including Numerical Prediction, Environmental forecasts, Earth system monitoring, reanalysis, etc., as well as coupled covariances and the added value of observations at the interfaces of coupled models.
We also welcome contributions dealing with algorithmic aspects and numerical implementation of the solution of inverse problems and quantification of the associated uncertainty, as well as novel methodologies at the crossroad between data assimilation and purely data-driven, machine-learning-type algorithms.

Co-organized by AS5/BG9/CL5/CR2/G3/HS13/OS4
Convener: Javier Amezcua | Co-conveners: Harrie-Jan Hendricks Franssen, Lars Nerger, Guannan Hu, Olivier Talagrand, Natale Alberto Carrassi, Yvonne Ruckstuhl
Orals
| Wed, 26 Apr, 16:15–18:00 (CEST)
 
Room -2.31
Posters on site
| Attendance Tue, 25 Apr, 14:00–15:45 (CEST)
 
Hall X4
Posters virtual
| Tue, 25 Apr, 14:00–15:45 (CEST)
 
vHall ESSI/GI/NP
Orals |
Wed, 16:15
Tue, 14:00
Tue, 14:00
BG3.14 EDI

A wide range of processes influence the response of the vegetation, soils, and terrestrial carbon fluxes to changes in land and atmospheric moisture availability. Such responses also occur over a wide range of time scales, ranging from extreme events like floods, droughts or heatwaves, to long-term shifts in background climate. In addition, the vegetation and soils regulate land-atmosphere moisture and energy fluxes, which in turn feed back to the broader climate system.

Advances in remote sensing, experimental studies, and the growing number of in situ measurements and ecosystem trait databases can now be combined with machine learning, statistical approaches and/or mechanistic models, to understand how plants, soils, and ecosystems respond to climate variability. Combining these data in innovative ways will help to evaluate and improve models of plant-stress and carbon exchange, and in-turn climate projections.

Contributions might include, for example, regional to global evaluations of the vegetation and ecosystem response to various environmental stressors (e.g. soil moisture, temperature, etc.) and climatic variability, using in-situ and/or satellite observations to evaluate or improve the representation of water-carbon interactions and biological processes in models, new representations of plant and ecosystem response to land and atmospheric moisture stress (e.g. through plant hydraulics, optimality approaches, etc.), and improvements in our understanding of how soils and plant-stress regulate surface fluxes and boundary layer processes.

Solicited authors:
Charlotte Grossiord, Ecole Polytechnique Fédérale de Lausanne, Lausanne, Switzerland
René Orth, Max Planck Institute for Biogeochemistry, Jena, Germany

Co-organized by CL3/HS13
Convener: Vincent Humphrey | Co-conveners: Nina Raoult, Julia K. Green, Zheng Fu, Mallory Barnes, Kim Novick
Orals
| Mon, 24 Apr, 08:30–12:30 (CEST)
 
Room 2.95
Posters on site
| Attendance Mon, 24 Apr, 14:00–15:45 (CEST)
 
Hall A
Orals |
Mon, 08:30
Mon, 14:00
ERE1.8 EDI

A grand challenge facing society in the coming decades is to feed the growing human population in a sustainable and healthy manner. This challenge is central to many of the United Nations Sustainable Development goals (SDGs), including the zero hunger goal but also those for human health, water, terrestrial biodiversity and sustainable production and consumption.
This problem is made more complex by an increasingly globalised food system and its interactions with a changing climate. Agri-food system actors - including policy makers, corporations, farmers, and consumers - must meet this challenge while considering potentially conflicting priorities, such as environmental sustainability (e.g., minimising disturbance to ecosystems via greenhouse gas emissions and the use of water, land, fertilisers and other inputs), economic viability (e.g., revenues for food producers and guaranteed access for consumers), nutritional balance and quality (e.g., addressing overconsumption and undernourishment), and resilience to climate change.
This growing complexity of agri-food systems, which can involve global supply chains and difficult environmental and societal tradeoffs, needs to be better understood.
The type of product (e.g. plant or meat based, fresh or processed), as well as the location and method of production, can play an important role in improving the nutritional quality and environmental sustainability of global food production, to enable healthy and sustainable diets. Quantifying and assessing these multiple outcomes while accounting for the linkages, interconnections, and scales of local and global supply chains will be essential for informing decisions aimed at developing sustainable and resilient agri-food systems.
This session welcomes submissions that quantify and assess a range of outcomes from agri-food systems across multiple spatial and temporal scales, and the trade-offs or synergies between them. The session will include studies providing improved methods for quantifying multiple environmental, economic or social dimensions, studies that incorporate the role of food trade into solution-development, and studies that seek to achieve multiple sustainability goals together.

Public information:

Please find the updated schedule of the oral session here:

ERE1.8 Orals: Wed, 26 Apr   Room -2.16 Chairpersons: Carole Dalin, Matti Kummu
Schedule amendments in bold (due to some abstract withdrawals)

14:00–14:05 Session introduction (special issue open in ERL: Sustainable Food Systems Transformation https://iopscience.iop.org/collections/erl-230405-193)

 

14:05–14:15- EGU23-2393 - On-site presentation

Efficiency of dietary sustainability and its global transition 

Pan He, Zhu Liu, Klaus Hubacek, Giovanni Baiocchi, and Dabo Guan

 

14:15–14:25 - EGU23-7963 - Virtual presentation

Healthier diets, healthier planet? Quantifying the biodiversity pressure of fruit and vegetable consumption in South Africa, India, and the UK 

Abbie Chapman, Carole Dalin, Sara Bonetti, Rosemary Green, Genevieve Hadida, Tafadzwa Mabhaudhi, and Pauline Scheelbeek

 

14:2514:30 Additional Questions & Answers

 

14:30–14:40 EGU23-11440 On-site presentation

The potential to increase resilience by replacing feed imports with domestic food system by-products 

Vilma Sandström, Matti Kummu, and Florian Schwarzmueller

 

14:40–14:50 EGU23-15056 On-site presentation

Usage of by-products and residues of the food system in livestock diets leads to savings in global land and water resources 

Camilla Govoni, Paolo D'Odorico, Luciano Pinotti, and Maria Cristina Rulli

 

14:50–14:55 Additional Questions & Answers

 

14:55 –15:05 - EGU23-16316 - On-site presentation

Cross-border environmental impacts of agri-food systems and potential solutions towards sustainability: a case study of trade between Europe and Africa. 

Ertug Ercin, Brecht D’Haeyer, Corjan Nolet, Emrah Alkaya, Didem Mahsunlar, Tolga Pilevneli, and Goksen Capar

 

15:05–15:15 EGU23-5975 On-site presentation

Restructuring the Indian agricultural system toward sustainability and lower environmental costs 

Udit Bhatia, Shekhar Goyal, and Rohini Kumar

 

15:15–15:25 EGU23-15582 On-site presentation

Sustainable agricultural strategies to address limited freshwater availability and meet food demand in the Nile River Basin 

Martina Sardo, Maria Cristina Rulli, and Davide Danilo Chiarelli

 

15:25–15:35 EGU23-12478 On-site presentation

Tracing the water footprint of food losses the in trade network: the case of wheat 

Francesco Semeria, Francesco Laio, Luca Ridolfi, and Marta Tuninetti

 

15:35–15:45 Additional Questions & Answers

Coffee break

16:15–16:25  EGU23-1556 On-site presentation

Key trends and opportunities in water footprints of crop production 

Oleksandr Mialyk, Martijn J. Booij, Rick J. Hogeboom, and Markus Berger

 

16:25–16:35 EGU23-6729 Virtual presentation

Understanding the interaction between maize water use efficiency and nutrient uptake in irrigated cropping systems, a basis for predicting and improving Zambia’s productivity in a changing climate  

Mumba Mwape, Hami Said, Elijah Phiri, Maria Heiling, Gerd Dercon, and Christian Resch

 

16:35–16:45 EGU23-3940 On-site presentation

Sustainability trade-offs for equity and climate interventions in global food systems: The case of cocoa in Ghana 

Sophia Carodenuto and Marshall Adams

 

16:45–16:50 Additional Questions & Answers

 

16:50–17:00 EGU23-15681Virtual presentation

Coffee Agrosystems and Climate Change 

Raniero Della Peruta, Valentina Mereu, Donatella Spano, Serena Marras, and Antonio Trabucco

 

17:00–17:10 EGU23-15016 Virtual presentation A novel tool implementation to estimate the Land Use Sustainability for crops production under different climate change scenarios 

Joan Miquel Galve, Jesús Garrido-Rubio, José González-Piqueras, Anna Osann, Alfonso Calera, Maria Llanos López, Esteban Henao, David Sánchez, Jesús Puchades, Antonio Jesús Molina, Christina Papadaskalopoulou, Marina Antoniadou, and Dimitris Tassopoulos

 

17:10–17:20 EGU23-6494 On-site presentation

Machine Learning-Enabled Smart Greenhouse Environmental Control Service Model 

I-Wen Hsia and Fi-John Chang

 

17:20–17:30 EGU23-15686 Virtual presentation

Elucidating climate change adaptation potential of improved maize (Zea mays L.) varieties with crop modelling  

Abel Chemura, Ponraj Arumugum, Eresi Kutesa Awori, and Christoph Gornott

 

17:30–17:40 EGU23-10063 On-site presentation

Risk of deforestation and potential greenhouse gas emissions from vegetable oils’ expansions for food use  

Maria Vincenza Chiriacò, Nikolas Galli, Monia Santini, and Maria Cristina Rulli

 

17:40–17:50 EGU23-6434 On-site presentation

Energy and fertiliser price rises are more damaging than food export curtailment from Ukraine and Russia for food prices, health and the environment 

Peter Alexander, Almut Arneth, Roslyn Henry, Juliette Maire, Sam Rabin, and Mark Rounsevell

 

17:50–17:55 Additional Questions & Answers

 

Co-organized by BG8/HS13/SSS9
Convener: Carole Dalin | Co-conveners: Kyle Frankel Davis, Matti Kummu, Landon Marston, Marta Tuninetti
Orals
| Wed, 26 Apr, 14:00–17:55 (CEST)
 
Room -2.16
Posters on site
| Attendance Wed, 26 Apr, 10:45–12:30 (CEST)
 
Hall X4
Orals |
Wed, 14:00
Wed, 10:45
GI3.2 | PICO

Instrumentation and measurement technologies are currently playing a key role in the monitoring, assessment and protection of water resources.
This session focuses on measurement techniques, sensing methods and data science implications for the observation of water systems, emphasizing the strong link between measurement aspects and computational aspects characterising the water sector.
This session aims at providing an updated framework of the observational techniques, data processing approaches and sensing technologies for water management and protection, giving attention to today’s data science aspects, e.g. data analytics, big data, cloud computing and Artificial Intelligence.
Building a community around instrumentation & measurements for water systems is one of the aims of the session. In particular, participants to the EGU2020 edition of this session contributed to this book: A. Di Mauro, A. Scozzari & F. Soldovieri (eds.), Instrumentation and Measurement Technologies for Water Cycle Management, Springer Water, ISBN: 978-3-031-08261-0, 2022.
We welcome contributions about field measurement approaches, development of new sensing techniques, low cost sensor systems and measurement methods enabling crowdsourced data collection also through social sensing. Therefore, water quantity and quality measurements as well as water characterization techniques are within the scope of this session.
Remote sensing techniques for the monitoring of water resources and/or the related infrastructures are also welcome.
Contributions dealing with the integration of data from multiple sources are solicited, as well as the design of ICT architectures (including IoT concepts) and of computing systems for the user-friendly monitoring of the water resource and the related networks.
Studies about signal and data processing techniques (including AI approaches) and the integration between sensor networks and large data systems are also very encouraged.

Co-organized by ESSI4/HS13
Convener: Andrea Scozzari | Co-conveners: Anna Di Mauro, Francesco Soldovieri
PICO
| Fri, 28 Apr, 16:15–18:00 (CEST)
 
PICO spot 2
Fri, 16:15
CL3.2.8 EDI

Recent extreme events with intensities unprecedented in the observational record are causing high impacts globally, such as the heat waves in the UK, Pacific Northwest and in parts of China and severe flooding in Pakistan, Western Europe, eastern US and across China. Some of these events would have arguably been nearly impossible without human-made climate change and broke records by large margins. Furthermore, compound behaviour, cascading effects and complex risks are becoming evident, such as the spike in food prices induced by the effects of the war in Ukraine on top of concurrent drought across regions with subsequent crop failure. Finally, continuing warming potentially increases the risk of crossing tipping points and triggering abrupt changes. In order to increase preparedness for high impact climate events, it is important to develop methods and models that are able to represent these events and the impacts from them, and to better understand how to reduce the risks.

This session aims to bring together the latest research on modelling, understanding and managing plausible past and future high impact climate events. We are interested in rare and low-probability heavy precipitation events, droughts, floods, storms and temperature extremes from time scales of hours to decades, including compound, cascading, and connected extremes, as well as the effect of tipping points and abrupt changes driven by climate change, societal response, or other mechanisms (e.g., volcanic eruption). We are interested both in these events from the perspective of the interactive earth system per se, and on their impacts, consequences, and management perspectives.

We welcome a wide variety of methods to quantify and understand high-impact climate events in the present and future climate, such as through model experiments and intercomparisons; insights from paleo archives; climate projections (including large ensembles, and unseen events); attribution studies; and the development of storylines. We invite work on tipping elements/tipping points; abrupt changes; worst case scenarios; identification of adaptation limits; and the opportunities and solutions to manage the greatest risks.

This session is informed by the World Climate Research Programme lighthouse activities on Safe Landing Pathways and Understanding High-Risk Events.

Co-organized by AS1/HS13/NH11
Convener: Timo Kelder | Co-conveners: Laura Suarez-Gutierrez, Peter Alexander, Henrique Moreno Dumont Goulart, Erich Fischer
Orals
| Wed, 26 Apr, 10:45–12:30 (CEST)
 
Room 0.49/50
Posters on site
| Attendance Wed, 26 Apr, 16:15–18:00 (CEST)
 
Hall X5
Posters virtual
| Wed, 26 Apr, 16:15–18:00 (CEST)
 
vHall CL
Orals |
Wed, 10:45
Wed, 16:15
Wed, 16:15
CL3.1.6 EDI

The big question confronting climate science today is how ongoing climate changes could influence extremes in regional meteorological and hydrological systems over decadal timescales. Extreme events, such as floods, droughts and heatwaves, are deadly and costly phenomena. Within Europe, although all countries are already affected by climate change and the impacts of extremes, the southeastern region remains under-studied. This lack of knowledge limits the options available to politicians and stakeholders there, who must decide which measures to take to guard against the risk of those extreme events.

This session is devoted to the reduction of the uncertainties in the decision chain (i.e., data, methods, results and impacts). The advancement is assumed to come from novel measurement data, improved climate and hydrology models output, state-of-the-art statistical methods and machine-learning algorithms in support of decision-making in a situation of uncertainty. We warmly welcome contributions on the decision chain for the broadly defined Southeast European region.

Co-organized by HS13
Convener: Manfred Mudelsee | Co-conveners: Biljana Basarin, Anne Sophie Daloz, Igor Leščešen, Robert Wilby
Posters on site
| Attendance Thu, 27 Apr, 16:15–18:00 (CEST)
 
Hall X5
Posters virtual
| Thu, 27 Apr, 16:15–18:00 (CEST)
 
vHall CL
Thu, 16:15
Thu, 16:15
NH9.2 EDI

Increasing effects of climate change, urbanization, and increased interconnectedness between ecological, physical, human, and technological systems pose major challenges to disaster risk management in a globalised world. Economic losses from natural hazards and climate change are still increasing, and the recent series of catastrophic events across the world together with the COVID-19 crisis and ongoing conflicts have manifested the need to shift from single-hazard and sectoral approaches to new and innovative ways of assessing and managing risks across sectors, borders and scales based on a multi-hazard and systemic risk lens.

Addressing the above challenges, this session aims to gather the latest research, empirical studies, and observation data that are useful for understanding and assessing the complex interplay between multiple natural hazards and social vulnerabilities to: (i) identify persistent gaps, (ii) propose potential ways forward, and (iii) inform resilience building strategies in the context of global change.

Co-organized by GI6/HS13
Convener: Johanna Mård | Co-conveners: Korbinian Breinl, Michael Hagenlocher, Giuliano Di Baldassarre
Orals
| Mon, 24 Apr, 16:15–18:00 (CEST)
 
Room 1.15/16
Posters on site
| Attendance Mon, 24 Apr, 10:45–12:30 (CEST)
 
Hall X4
Posters virtual
| Mon, 24 Apr, 10:45–12:30 (CEST)
 
vHall NH
Orals |
Mon, 16:15
Mon, 10:45
Mon, 10:45
NH9.17 EDI

Global losses from natural hazards, such as floods, droughts, and storms, are on the rise due to growing exposure in disaster-prone areas and the effects of climate change. In response, there has been an increased effort to reduce disaster risk and reduce conflicts. Working towards this end requires implementing effective and flexible disaster risk management (DRM) strategies. These must be backed by reliable hazard estimates, multi-sector impact assessments, analysis of adaptation policies, and risk modelling. Innovation plays a key role towards this effort.

This session aims to bring together experts from various fields to discuss challenges in improving DRM through innovation. Contributions focus on developing and applying innovative approaches for advancing multi-sectoral impact, risk modelling and DRM. Topics include hazard quantification and mapping, multi-sectoral impact assessment before the disaster event or as it unfolds, analysis of adaptation measures, risk transfer and disaster risk financing (DFR) solutions, and risk perception assessments.

The applications described here apply various tools: machine learning, data mining, natural language processing (NLP), remote sensing and earth observation, social media, volunteered geographic information (VGI), mobile applications, crowdsourcing, sociohydrological models, interdisciplinary approaches, and parametric insurance.

Co-organized by HS13
Convener: Mariana Madruga de Brito | Co-conveners: Rui Figueiredo, Chiara Arrighi, Christian Klassert, Luis Sousa, Kai Schröter, David W. Walker
Orals
| Thu, 27 Apr, 10:45–12:30 (CEST)
 
Room 1.34
Posters on site
| Attendance Thu, 27 Apr, 16:15–18:00 (CEST)
 
Hall X4
Orals |
Thu, 10:45
Thu, 16:15
ERE2.6 EDI

This session aims to engage discussions on successful and not-so-successful experiences on geothermal studies (open and close systems) together with groundwater behaviours.

Despite geothermal systems are being world-wide installed during the last decades, there are many issues to be improved and optimised around its functionalities considering groundwater behaviour in middle and long term.

This session is open to good and bad (laboratory, field and modelling) experiences on:
- Design of geothermal installations
- Groundwater interaction in geothermal design
- Long term behaviour of geothermal installations
- Negative impact of geothermal installations on the underground and on groundwater resources

Keynote speakers: Professors Peter Bayer and Thomas Vienken will encourage proactive discussions.

We invite you to submit your experiences, especially mistakes to avoid them in the future.

Discussions arise during the sessions would increase the knowledge and know-how on this topic.

Co-organized by HS13
Convener: Rotman A. Criollo Manjarrez | Co-conveners: Alessandro Casasso, Simona Pestotnik, Corinna Abesser
Orals
| Thu, 27 Apr, 16:15–18:00 (CEST)
 
Room -2.16
Posters on site
| Attendance Thu, 27 Apr, 14:00–15:45 (CEST)
 
Hall X5
Orals |
Thu, 16:15
Thu, 14:00
SSS9.10 EDI

This session offers an opportunity to present studies or professional works regarding irrigated agriculture, either with disciplinary or multidisciplinary approaches, to provide solutions for the society's challenges in the XXI century, in the following areas:
• The resilience of irrigated areas at different spatial scales, mainly when water and soil are limiting factors.
• Estimation of crop transpiration/crop water requirement, even considering the possibility to apply controlled water deficit conditions.
• Coupling natural and human systems where ground and surface water and land are limiting resources for irrigation
• Safety in marginal water use in irrigated agriculture
• Traditional, novel, and transitional technologies for irrigation management, control and practical application at different spatial scales.
• Reducing the cost of technology monitoring soil and plant water status, improving the quality of data acquired from the sensors, as well as integrating the acquired data into an easy-to-use Decision Support System.
• Potential of available remotely and proximal sensed data, mainly referring to those platforms and instruments acquiring frequently high-resolution data, to tackle current and future irrigation problems at different spatial scales.
• Improving the integration of climate change scenarios and weather forecasts into agro-hydrological models and decision support systems to improve decisions in irrigation management and safe surface water-groundwater interactions.

Posters and oral communications are available. Likewise, a Special Issue is foreseen.

Co-organized by HS13
Convener: Leonor Rodriguez-Sinobas | Co-conveners: Daniele Masseroni, Giuseppe Provenzano, Alejandro Pérez-Pastor
Orals
| Thu, 27 Apr, 08:30–10:10 (CEST)
 
Room K2
Posters on site
| Attendance Thu, 27 Apr, 14:00–15:45 (CEST)
 
Hall X3
Posters virtual
| Thu, 27 Apr, 14:00–15:45 (CEST)
 
vHall SSS
Orals |
Thu, 08:30
Thu, 14:00
Thu, 14:00
GM11.2 EDI

Worldwide, many areas are experiencing broad climatic and  environmental changes that lead to significant geomorphic impacts. These changes are manifested, for example, by changes in rainfall properties and in the frequency of extreme events. Especially naturally fragile arid to sub-humid areas are particularly sensitive to such changes. This makes them ideal areas to study such processes and their interactions for the recent and former periods, the latter being documented in different kinds of sediment archives. Recent technological advancements, and particularly a better understanding of the links between climate environmental changes and the surface dynamics, have made it possible to better recognize the impact of climatic and environmental triggers on geomorphic landscape processes during the last years.

This session will focus on contributions that discuss the  transformation of current and former climatic and environmental changes into geomorphic surface processes, from the scale of mountain ranges to watersheds and individual streams, as well as in aeolian, gravitational, and biological systems. We especially welcome studies that focus on geomorphic responses to changes in climate, extreme events and on their imprints on the landscape through erosion and sediment movement. We welcome studies from individual regions, different sediment archives and review studies. Modeling approaches that explicitly examine the effects of environmental changes on the landscape dynamics are highly encouraged, as well as studies dealing with novel methods to acquire chronological frameworks, process rates, and the impact of such processes on current and previous societies.

Co-organized by HS13/NH1
Convener: Yuval Shmilovitz | Co-conveners: Hans von Suchodoletz, Joel Roskin, Jacob Hirschberg, Abi Stone, Roberta Paranunzio, Markus Fuchs
Orals
| Thu, 27 Apr, 08:30–10:10 (CEST)
 
Room D3
Posters on site
| Attendance Thu, 27 Apr, 14:00–15:45 (CEST)
 
Hall X3
Orals |
Thu, 08:30
Thu, 14:00
NH10.1 EDI

This session aims to share innovative approaches to multi-hazard risk assessments and their components (hazard, exposure, vulnerability and capacity), and to explore their applications to disaster risk reduction.

Effective disaster risk reduction practices and the planning of resilient communities requires the evaluation of multiple hazards and their interactions. This approach is endorsed by the UN Sendai Framework for Disaster Risk Reduction. Multi-hazard risk and multi-hazard impact assessments look at interaction mechanisms among different natural hazards, and how spatial and temporal overlap of hazards influences the exposure and vulnerability of elements at risk. Moreover, the uncertainty associated with multi-hazard risk scenarios needs to be considered, particularly in the context of climate change and slow-onset hazards, such as Covid-19 and pandemics in general, characterized by dynamic changes in exposure and vulnerability that are challenging to quantify.

This session, therefore, aims to profile a diverse range of multi-hazard risk and impact approaches, including hazard interactions, multi-vulnerability studies, and multi-hazard exposure characterization. In covering the whole risk assessment chain, we propose that it will be easier to identify potential research gaps, synergies and opportunities for future collaborations.

We encourage abstracts which present innovative research, case study examples and commentary throughout the whole disaster risk cycle on (i) multi-hazard risk methodologies which address multi-vulnerability and multi-impact aspects; (ii) methodologies and tools for multi-hazard risk management and inclusive risk-informed decision making and planning; (iii) methodologies and tools for multi-hazard disaster scenario definition and management for (near) real-time applications; (iv) cross-sectoral approaches to multi-hazard risk, incorporating the physical, social, economic, and/or environmental dimensions; (v) uncertainty in multi-hazard risk and multi-hazard impact assessment; (vi) evaluation of multi-hazard risk under future climate and slow-onset hazards, including pandemics; (vii) implementation of disaster risk reduction measures within a multi-hazard perspective.

Co-organized by CL3.2/HS13
Convener: Marleen de Ruiter | Co-conveners: Stefano Terzi, Silvia De Angeli, Faith Taylor, Annie Winson
Orals
| Thu, 27 Apr, 14:00–17:12 (CEST)
 
Room 1.15/16
Posters on site
| Attendance Thu, 27 Apr, 10:45–12:30 (CEST)
 
Hall X4
Posters virtual
| Thu, 27 Apr, 10:45–12:30 (CEST)
 
vHall NH
Orals |
Thu, 14:00
Thu, 10:45
Thu, 10:45