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

NH – Natural Hazards

Programme group chairs: Heidi Kreibich, Ira Didenkulova

MAL24
Plinius Medal Lecture by Alberto Viglione
Convener: Ira Didenkulova
Abstract
| Tue, 25 Apr, 10:50–11:20 (CEST)
 
Room C
Tue, 10:50
MAL28
Sergey Soloviev Medal Lecture by Peng Cui
Convener: Ira Didenkulova
Abstract
| Thu, 27 Apr, 14:00–14:30 (CEST)
 
Room C
Thu, 14:00
MAL42
NH Division Outstanding ECS Award Lecture by Ankit Agarwal
Convener: Ira Didenkulova
Abstract
| Mon, 24 Apr, 14:00–14:30 (CEST)
 
Room M2
Mon, 14:00
DM8
Division meeting for Natural Hazards (NH)
Co-organized by NH
Convener: Ira Didenkulova
Thu, 27 Apr, 12:45–13:45 (CEST)
 
Room F2
Thu, 12:45

NH0 – Inter- and Transdisciplinary Sessions

ITS1.1/NH0.1 EDI

Artificial intelligence (in particular, machine learning) can be used to predict and respond to natural disasters. The ITU/WMO/UNEP Focus Group AI for Natural Disaster Management (FG-AI4NDM) is building a community of experts and stakeholders to identify best practices in the use of AI for data processing, improved modeling across spatiotemporal scales, and providing effective communication. This multidisciplinary FG-AI4NDM-session invites contributions addressing challenges and opportunities related to the use of AI for the detection, forecasting, and communication of natural hazards and disasters. In particular, it welcomes presentations highlighting innovative approaches to data collection (e.g., via sensor networks), data handling (e.g., via automating annotation), data storage and transmission (e.g., via edge- and cloud computing), novel modeling or explainability methods (e.g., integrating quantum computing methods), and outcomes of operational implementation.

Co-organized by ESSI1/NP4
Convener: Raffaele Albano | Co-conveners: Ivanka PelivanECSECS, Elena Xoplaki, Andrea Toreti, Monique Kuglitsch
Orals
| Wed, 26 Apr, 08:30–10:12 (CEST)
 
Room 0.94/95
Posters on site
| Attendance Wed, 26 Apr, 16:15–18:00 (CEST)
 
Hall X4
Posters virtual
| Wed, 26 Apr, 16:15–18:00 (CEST)
 
vHall NH
Orals |
Wed, 08:30
Wed, 16:15
Wed, 16:15
ITS1.12/NH0.2 EDI

Recent advances in the field of Artificial Intelligence, Machine Learning and Data Assimilation have been massively applied to model, anticipate, and predict the natural catastrophes, such as earthquakes, floods, landslides, volcanic eruptions, tsunamis, wildfires, glacier instabilities, in addition to multi-hazard and cascading effects due to climate change. However, the adopted algorithms require a solid inductive bias, provided by the physics of the phenomenon at stake (or at least the understanding of it). Furthermore, due to simplified assumptions, analytical models might encounter limits while modeling these natural catastrophes. Therefore, several hybrid strategies, utilizing the growing computational resources, are currently being developed, to achieve more flexibility and full synergy between numerical physics-based simulations, machine learning and data-driven approaches.
The hybrid modeling of natural hazards benefits from the interpretability of numerical simulations and from the extrapolation and generalization capabilities of advanced Machine Learning methods. This synergy leads to multi-fidelity predictive tools that leverage all the available knowledge on the phenomenon at stake. Moreover, to tackle lack of data and representation, observational databases can be integrated with the synthetic results for re-analysis and for training machine learning algorithms on never-before-seen disaster scenarios. This multidisciplinary session invites contributions addressing hybrid solutions to predict and to mitigate natural catastrophes. It also welcomes presentations on hybrid tools for vulnerability assessment.

Convener: Filippo GattiECSECS | Co-convener: Nishtha SrivastavaECSECS
Orals
| Mon, 24 Apr, 16:15–18:00 (CEST)
 
Room 0.94/95
Posters on site
| Attendance Mon, 24 Apr, 14:00–15:45 (CEST)
 
Hall X4
Orals |
Mon, 16:15
Mon, 14:00
ITS4.4/NH0.4

Both society and industry are becoming increasingly aware of the physical risks and potential knock-on impacts posed by climate change. This awareness is leading to an increased demand for specific and actionable information about such risks across a wide range of sectors and domains. Awareness of and demand for data on climate-related impacts across multiple different hazards and across large geographical areas is also rising - in many nations this is driven by new and upcoming legislation requiring businesses or governments to understand and be prepared for any and all climate risk. Although researchers in climate and geosciences are best-informed to provide expertise, traditional research outputs such as publications and corresponding data are not necessarily useable by non-experts within these domains. In this session, we explore how focusing on the needs of non-expert users and decision makers changes the way in which research is carried out, disseminated, and scaled.

We welcome abstracts across all natural hazard types and climate impacts on a broad range of themes, including: how to work effectively with stakeholders and other users; how user-engagement and data-delivery requirements change the way
science goals are set and met; and how to scale climate risk research to provide information beyond localised case-studies.

Convener: Claire Burke | Co-conveners: James BrennanECSECS, Laura RamsamyECSECS, Nicholas Leach
Orals
| Thu, 27 Apr, 08:30–10:10 (CEST)
 
Room N1
Posters on site
| Attendance Thu, 27 Apr, 16:15–18:00 (CEST)
 
Hall X4
Orals |
Thu, 08:30
Thu, 16:15
ITS1.4/NH0.6

High-impact climate and weather events typically result from the interaction of multiple hazards as well as vulnerability and exposure across various spatial and temporal scales. Such compound events often cause more severe socio-economic impacts than single-hazard events, rendering traditional univariate extreme event analyses and risk assessment techniques insufficient. It is therefore crucial to develop new methodologies that account for the possible interaction of multiple physical drivers when analysing high-impact events. Such an endeavour requires (i) a deeper understanding of the interplay of mechanisms causing compound events and (ii) an evaluation of the performance of climate/weather, statistical and impact models in representing compound events.

We invite papers studying all aspects of compound events, which might relate to (but are not limited to) the following topics:

Synthesis and Analysis: What are common features for different classes of compound events? Which variables need to be assessed jointly in order to address related impacts? How much is currently known about the dependence between these variables?
Stakeholders and science-user interface: Which events are most relevant for stakeholders? What are novel approaches to ensure continuous stakeholder engagement?
Impacts: What are the currently available sources of impact data? How can they be used to link observed impacts to climate and weather events?
Statistical approaches, model development and evaluation: What are possible novel statistical models that could be applied in the assessment of compound events?
Realistic model simulations of events: What are the physical mechanisms behind different types of compound events? What type of interactions result in the joint impact of the hazards that are involved in the event? How do these interactions influence risk assessment analyses?

Convener: Jakob Zscheischler | Co-conveners: Emanuele BevacquaECSECS, Philip Ward, Seth Westra, Nina Nadine Ridder
Orals
| Fri, 28 Apr, 08:30–12:05 (CEST)
 
Room 0.94/95
Posters on site
| Attendance Fri, 28 Apr, 14:00–15:45 (CEST)
 
Hall X4
Posters virtual
| Fri, 28 Apr, 14:00–15:45 (CEST)
 
vHall NH
Orals |
Fri, 08:30
Fri, 14:00
Fri, 14:00
SM1.6 EDI

On February 6, 2023, two powerful earthquakes of magnitude 7.8 and 7.7 rocked south-central Türkiye and northern Syria, strongly affecting the regions around Gaziantep, Kahramanmaraş, Malatya, and Hatay. The epicenter of the first mainshock (37.288 N, 37.043 E, 8.6 km depth, origin time 01:17 AM UTC) is located close to the East Anatolian Fault (EAF). The second large earthquake (38.089°N, 37.239°E, 7.0 km depth, origin time 10:24 AM UTC) occurred only 9 hrs later, about 90 km north of the first mainshock on the east-west trending Sürgü Fault, at a time when the local population had already begun to rescue survivors and their belongings. The aftershock sequences delineate fault lengths of ~360 km and ~180 km for the M 7.8 and M 7.7 ruptures, respectively, rendering these earthquakes among the longest continental strike-slip earthquakes ever recorded. A basin-wide tsunami alert was issued by the NEAMTWS Tsunami Service Providers, and a small tsunami was generated which was measured in the Eastern Mediterranean Sea.

This session solicits contributions from all disciplines of Earth sciences, engineering, social sciences, disaster management, and policy making to glean a first-order interdisciplinary understanding of the causes and consequences of this devastating double earthquake event. We invite presentations that address the tectonic context of the EAF and large historical earthquakes in the region, measurements and inferences from earthquake geology and space imagery, studies on the coseismic rupture process of the two events and their physical connection, assessment of ground-shaking levels and strong-motion properties, site effects, damage and risk assessment, as well as tsunami forecasting and warning, and the societal implications of these devastating earthquakes.

Notes:
1. The Abstract Processing Charge (APC) for Turkish/Syrian scientists will be waived.
2. A regular APC rate of 50EUR will apply for all other scientists who are to submit an abstract for this late-breaking session.
3. The deadline for submitting an abstract to this session is 19.02.2023.
4. Please contact Philippe Jousset, sm@egu.eu, if it happens you already have submitted an abstract and yet want to submit an additional abstract to this session.

Co-organized by NH0
Convener: P. Martin Mai | Co-conveners: Y. Klinger, Stefano Lorito, Sezim Ezgi Guvercin, ‪Alice-Agnes Gabriel, A. Ozgun Konca, Jorge Jara
Orals
| Fri, 28 Apr, 14:00–15:45 (CEST)
 
Room E1
Posters on site
| Attendance Thu, 27 Apr, 14:00–15:45 (CEST)
 
Hall X2
Orals |
Fri, 14:00
Thu, 14:00

NH1 – Hydro-Meteorological Hazards

Programme group scientific officer: Yves Tramblay

NH1.1 EDI

Heat extremes are already one of the deadliest meteorological events and they are projected to increase in intensity and frequency due to rising CO2 emissions. Also vulnerability and exposure of the events are likely to change, yet have to be assessed at a very local scale. The resulting risks of extreme heat events to society may increase dramatically with large regional differences, and society will need to adapt locally if the worst impacts are to be avoided. This session therefore welcomes a broad range of new research addressing the challenge of extreme heat and its impacts. Suitable contributions may: (i) assess the drivers and underlying processes of extreme heat in observations and/or models; (ii) explore the diverse socio-economic impacts of extreme heat events including vulnerability and exposure (for example, on aspects relating to human health or economic productivity); (iii) address forecasting and monitoring of extreme heat at seasonal to sub-seasonal time scales; (iv) focus on societal adaptation to extreme heat, including the implementation of Heat-Health Early Warning Systems for disaster risk reduction and (v) introduce transdisciplinary research frameworks for the assessment of societal relevant heat extremes and its impacts particularly in the Global South.

Convener: Martha Marie VogelECSECS | Co-conveners: Jonathan Buzan, Sarah Safieddine, Ana Casanueva, Tom Matthews
Orals
| Wed, 26 Apr, 08:30–10:15 (CEST)
 
Room 1.15/16
Posters on site
| Attendance Wed, 26 Apr, 14:00–15:45 (CEST)
 
Hall X4
Orals |
Wed, 08:30
Wed, 14:00
NH1.2

With global climate change affecting the frequency and severity of extreme meteorological and hydrological events, it is particularly necessary to develop models and methodologies for a better understanding and forecasting of present-day weather induced hazards. Future changes in the event characteristics as well as changes in vulnerability and exposure are among the further factors for determining risks for infrastructure and society, and for the development of suitable adaptation measures. This session considers extreme events that lead to disastrous hazards induced by severe weather and climate change. These can, e.g., be tropical or extratropical rain- and wind-storms, hail, tornadoes or lightning events, but also (toxic) floods, long-lasting periods of drought, periods of extremely high or of extremely low temperatures, etc. Papers are sought which contribute to the understanding of their occurrence (conditions and meteorological development), to assessment of their risk (economic losses, infrastructural damages, human fatalities, pollution), and their future changes, to the ability of models to reproduce them and methods to forecast them or produce early warnings, to proactive planning focusing on damage prevention and damage reduction. In order to understand fundamental processes, papers are also encouraged that look at complex extreme events produced by combinations or sequences of factors that are not extreme by themselves. The session serves as a forum for the interdisciplinary exchange of research approaches and results, involving meteorology, hydrology, environmental effects, hazard management and applications like insurance issues.

Including Plinius Medal Lecture
Convener: Athanasios LoukasECSECS | Co-conveners: Maria-Carmen LlasatECSECS, Uwe Ulbrich
Orals
| Tue, 25 Apr, 10:45–12:30 (CEST), 14:00–17:20 (CEST)
 
Room C
Posters on site
| Attendance Tue, 25 Apr, 08:30–10:15 (CEST)
 
Hall X4
Posters virtual
| Tue, 25 Apr, 08:30–10:15 (CEST)
 
vHall NH
Orals |
Tue, 10:45
Tue, 08:30
Tue, 08:30
NH1.3 EDI

Flood is the foremost natural hazard around the world that affects human life and property (directly and indirectly). In the current era, many hydrologic and hydraulic modelling techniques are available for flood risk assessment and management, as well as for flood risk prevention and preparedness. Such techniques provide a platform for the scientific community to explore the causes of floods and to build up efficient methods for flood mitigation.
This session invites in-depth and applied research work carried out through flood modelling including hydrological modelling, flood hydrodynamic modelling, flood inundation mapping, flood hazard mapping, risk assessment, flood policy, and flood mitigation strategy. It also welcomes studies dealing with various uncertainties associated with different stages of modelling and exploring modern techniques for model calibration and validation. In addition, real-time flood inundation mapping is an important aspect for evacuating people from low-lying areas and reducing death tolls. Real-time data information through UAV-based flood inundation mapping and analysis of associated uncertainty in real-time aerial surveying are also welcome.

NB: please, see also the special issue recently released in NHESS linked with this session ( https://nhess.copernicus.org/articles/special_issue1218.html)

Convener: Dhruvesh Patel | Co-conveners: Cristina PrietoECSECS, Benjamin Dewals
Orals
| Wed, 26 Apr, 10:45–12:30 (CEST)
 
Room 1.15/16
Posters on site
| Attendance Wed, 26 Apr, 14:00–15:45 (CEST)
 
Hall X4
Posters virtual
| Wed, 26 Apr, 14:00–15:45 (CEST)
 
vHall NH
Orals |
Wed, 10:45
Wed, 14:00
Wed, 14:00
NH1.4 EDI

Floods are considered as one of the most devastating natural hazards globally and their impact is expected to increase as a result of climate change. Particularly, flooding in urban areas will result in greater impacts due to increased population residing in cities which is expected to be about 70% by 2050. There have been various enhancements in urban flood risk management in the last decade creating the opportunity to reduce risk to life and properties in cities. This special session is focused on these - advances in urban flood risk management, including but not limited to:
- improved representation of risk and its management (e.g. dynamic consideration of hazard and exposure);
- evacuation modelling and management;
- impact modelling to critical urban infrastructure, including cascading effects;
- new modelling techniques in flood risk management (such as application of emulators);
- new application and use of new data sources in flood modelling (such as remote sensing and real-time data, crowd-source data);
- application of nature-based solutions for urban stormwater management.

Convener: Maria PregnolatoECSECS | Co-conveners: Reza Ahmadian, Chiara ArrighiECSECS, María Bermúdez
Orals
| Tue, 25 Apr, 08:30–10:15 (CEST)
 
Room C
Posters on site
| Attendance Tue, 25 Apr, 10:45–12:30 (CEST)
 
Hall X4
Orals |
Tue, 08:30
Tue, 10:45
NH1.5 EDI

Lightning is the energetic manifestation of electrical breakdown in the atmosphere, occurring as a result of charge separation processes operating on micro and macro-scales, leading to strong electric fields within thunderstorms. Lightning is associated with tropical storms and severe weather, torrential rains and flash floods. It has significant effects on various atmospheric layers and drives the fair-weather electric field. It is a strong indicator of convective processes on regional and global scales, potentially associated with climate change. Thunderstorms and lightning are also associated with the production of energetic radiation up to tens of MeV on time scales from sub-millisecond (Terrestrial Gamma-ray Flashes) to tens of seconds (gamma-ray glows).

This session seeks contributions from research in atmospheric electricity with emphasis on:

Atmospheric electricity in fair weather and the global electrical circuit
Effects of dust and volcanic ash on atmospheric electricity
Thunderstorm dynamics and microphysics
Middle atmospheric Transient Luminous Events
Energetic radiation from thunderstorms and lightning
Experimental investigations of lightning discharge physics processes
Remote sensing of lightning and related phenomena by space-based sensors
Thunderstorms, flash floods, tropical storms and severe weather
Modeling of thunderstorms and lightning
Now-casting and forecasting of thunderstorms using machine learning and AI
Regional and global lightning detection networks
Lightning Safety and its Societal Effects

Co-organized by AS1, co-sponsored by AGU and AGU-ASE
Convener: Yoav Yair | Co-conveners: Karen Aplin, Sonja Behnke, David Sarria, Serge Soula
Orals
| Mon, 24 Apr, 08:30–12:25 (CEST)
 
Room M2, Tue, 25 Apr, 08:30–11:50 (CEST)
 
Room M2
Posters on site
| Attendance Mon, 24 Apr, 14:00–15:45 (CEST)
 
Hall X4
Posters virtual
| Mon, 24 Apr, 14:00–15:45 (CEST)
 
vHall NH
Orals |
Mon, 08:30
Mon, 14:00
Mon, 14:00
NH1.6

Hydrometeorological extremes are prevailing in most parts of the world, and their severity is rapidly increasing. Therefore, modeling practices to understand, predict and mitigate those extreme events are paramount. Among the many intervention measures, nature-based solutions such as restoring wetlands, applying green infrastructure in urban environments, and giving land back to nature (floodplains) are emerging. The application of nature-based solutions is a rapidly developing field of research in which many challenges and open questions are still central.
Hence, we would like to invite scholars (Professors, post-doctoral researchers, independent researchers, Ph.D. students, M.Sc. students, stakeholders, water companies, water managers, etc.) to take part in this nature-based solutions session during the EGU conference. We invite you all to submit your abstracts with the following main themes but in a broader context:
• Nature-based solutions for drought mitigation
• Nature-based solutions for flood mitigation
• Nature-based solutions integration in geohydrological modelling
• Frameworks to understand/evaluate effectiveness of nature-based solution applications
• Remote sensing to identify possible nature-based solution areas
• Nature-based solutions as climate change adaptation strategies
• Pilot projects and their implementation stage
• Effect of nature-based solutions on water quality and ecosystem services in general
• Ecosystem service quantification after the application of nature-based solutions
• Socio-economic value and community involvement for nature-based solution successfulness, etc.

Convener: Estifanos Addisu Yimer | Co-conveners: Billy Johnson, Jiri Nossent, Todd E. Steissberg, Hans Van de Vyver, Ann van Griensven
Orals
| Wed, 26 Apr, 14:00–18:00 (CEST)
 
Room 1.15/16
Posters on site
| Attendance Wed, 26 Apr, 10:45–12:30 (CEST)
 
Hall X4
Posters virtual
| Wed, 26 Apr, 10:45–12:30 (CEST)
 
vHall NH
Orals |
Wed, 14:00
Wed, 10:45
Wed, 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
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 GreenECSECS | 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
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 CristianoECSECS, Federica RemondiECSECS, 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
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 AnnisECSECS, Gerald A Corzo P, Dehua Zhu, Victor CoelhoECSECS, 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
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
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 BrunnerECSECS | 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
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 CavusECSECS, Carmelo Cammalleri, Athanasios LoukasECSECS
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
HS4.5 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
HS4.3 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 ImhoffECSECS | 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
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 KordillaECSECS, 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
GM5.5 EDI

Biogeomorphology addresses the two-way interaction between abiotic and biotic elements that shape landscapes at various spatio-temporal scales.

One key biogeomorphic interaction happens in fluvial ecosystems between wood, flow and sediment. Many river systems show disruptions in their natural wood regime and consequently deficits in habitat structures, biodiversity, and ecosystem functions. Large wood (LW) jams create upstream regions of slower, deepened water that may enable deposition and storage of nutrients. In addition, downstream regions of faster flow are created as flow diverges around LW jams and may increase transport of bedload sediment and aid flushing of fine particles from clogged gravels. During floods, the amount of transported LW may increase, jams can form at river infrastructure thus posing an additional flood risk. LW mobility is also important in the carbon cycle. Having highlighted the multiple active functions that LW may have on energy and matter fluxes, a cross-disciplinary effort is required to improve our understanding of the complex interactions of wood with flow and sediment in fluvial ecosystems.

Across all landscapes and ecosystems, investigation of biogeomorphic feedbacks remains poorly understood and quantitatively constrained. Improved understanding of abiotic-biotic interaction across scales improves the scientific basis for environmental management aiding climate change mitigation and adaptation, response to natural hazards, and design of nature-based solutions to increase system resilience.

This session combines the investigation of wood-flow-sediment interactions in fluvial ecosystems with a general biogeomorphic perspective on biotic-abiotic feedbacks across all landscapes and ecosystems. It aims for a broad representation of the scientific communities focusing on geomorphic, hydraulic, ecological, and human aspects associated with wood in rivers and biogeomorphology. We invite presenters to share recent scientific advances in our understanding and management of wood in fluvial ecosystems using field, laboratory, or numerical approaches. Likewise, we provide a platform for all aspects of biogeomorphology, including fundamental science and applied studies. This year we specifically invite contributions focusing on both the short (process-scale) and longer-terms (> centennial) relevance of biogeomorphology to the carbon cycle.

Co-organized by NH1, co-sponsored by AGU
Convener: Isabella SchalkoECSECS | Co-conveners: Christian MohrECSECS, Francesco CaponiECSECS, Jana EichelECSECS, Elizabeth FollettECSECS, Annegret LarsenECSECS, Ingo Schnauder
Orals
| Thu, 27 Apr, 08:30–10:15 (CEST)
 
Room -2.31
Posters on site
| Attendance Thu, 27 Apr, 14:00–15:45 (CEST)
 
Hall X3
Orals |
Thu, 08:30
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 ShmilovitzECSECS | Co-conveners: Hans von Suchodoletz, Joel Roskin, Jacob HirschbergECSECS, Abi StoneECSECS, Roberta ParanunzioECSECS, 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
GM3.2 EDI | PICO

Sediment transport is a fundamental component of all geomorphic systems (including fluvial, aeolian, coastal, hillslopes and glacial), yet it is something that we still find surprisingly difficult both to monitor and to model. Robust data on where and how sediment transport occurs are needed to address outstanding research questions, including the spatial and temporal controls on critical shear stress, the influence of varying grain size distributions, and the impact of large magnitude events. Recent developments have provided a) new opportunities for measuring sediment transport in the field; and b) new ways to represent sediment transport in both physical laboratory models and in numerical models. These developments include (but are not limited to) the application of techniques such as seismic and acoustic monitoring, 3D imaging (e.g. CT and MRI scanning), deployment of sensors such as accelerometers, replication of field topography using 3D printing, use of luminescence as a sediment tracer, remote sensing of turbidity, discrete numerical modelling, and new statistical approaches.

In this session we welcome contributions from all areas of geomorphology that develop new methods for monitoring and modelling all types of sediment transport, or that showcase an application of such methods. Contributions from ECRs and underrepresented groups are particularly encouraged.

Co-organized by GI5/NH1
Convener: Rebecca Hodge | Co-conveners: Kristen Cook, Catherine Harry Sanders, Benedetta DiniECSECS, Laure Guerit
PICO
| Wed, 26 Apr, 08:30–10:15 (CEST)
 
PICO spot 3a
Wed, 08:30
AS1.14

This session investigates mid-latitude to subtropical cyclones and storms on both hemispheres. We invite studies considering cyclones in different stages of their life cycles from the initial development, to large- and synoptic-scale conditions influencing their growth to a severe storm, up to their dissipation and related socioeconomic impacts. We also welcome studies investigating these weather systems and their climate controls in subtropical regions of both hemispheres.

Papers are welcome, which focus also on the diagnostic of observed past and recent trends, as well as on future storm development under changed climate conditions. This will include storm predictability studies on different scales. Finally, the session will also invite studies investigating impacts related to storms: Papers are welcome dealing with vulnerability, diagnostics of sensitive social and infrastructural categories and affected areas of risk for property damages. Which risk transfer mechanisms are currently used, depending on insured and economic losses? Which mechanisms (e.g. new reinsurance products) are already implemented or will be developed in order to adapt to future loss expectations?

Co-organized by CL4/NH1
Convener: Gregor C. Leckebusch | Co-conveners: Neil HartECSECS, Jennifer Catto, Joaquim G. Pinto, Irina Rudeva, Uwe Ulbrich, Marcia ZilliECSECS
Orals
| Wed, 26 Apr, 08:30–10:15 (CEST)
 
Room M1
Posters on site
| Attendance Wed, 26 Apr, 10:45–12:30 (CEST)
 
Hall X5
Posters virtual
| Wed, 26 Apr, 10:45–12:30 (CEST)
 
vHall AS
Orals |
Wed, 08:30
Wed, 10:45
Wed, 10:45

NH2 – Volcanic Hazards

Programme group scientific officer: Andrea Di Muro

NH2.1 EDI | PICO

Volcanic gas emissions can constitute a permanent hazard in volcanic areas not only during eruptions, but also in post-eruptive and quiescent periods. Carbon dioxide is one of the main hazardous volcanic gases due to its characteristics (odourless, invisible, density higher than air at STP) and asphyxiate effect. However, we highlight also the presence of other gases, such as hydrogen sulphide and radon. In fact, several incidents with gases have been reported both indoor and outdoor in various countries during non-eruptive periods: USA, Argentina, Italy, Portugal, Greece, Congo, and Indonesia, just to give some examples.
High CO2 concentrations have been recently detected in some villages in La Palma (Canary Islands) and Vulcano (Italy) posing a threat to population and restricting the access to dwellings. We aim at contributions that show strategies to monitor, prevent and manage these silent hazards, which are quite challenging. Development of new sensors and study cases are welcome.

Co-organized by GMPV9
Convener: Fátima Viveiros | Co-conveners: Nemesio M. Pérez, Claire Horwell, Diana Linhares
PICO
| Mon, 24 Apr, 10:45–12:30 (CEST)
 
PICO spot 3b
Mon, 10:45
NH2.2

The panel's objective is to examine the multiple dimensions associated with risk by adopting a perspective examining the reference regulatory framework and the organizational and procedural repercussions of a vision in which risk (its assessment) is assumed to be a necessary component of administrative decision-making.
The consideration of risk must find an appropriate place within the processes of defining the planning lines of the territories, following a line of continuity that from it passes through the decision to find the balance between the possibility of an event occurring and the costs related to the adoption of prevention and precautionary measures often relegate the consideration of risk to a secondary level.
The aim is to verify, with specific reference to volcanic risk, the different dimensions mentioned above, going in search of the degree of risk assessment at the regulatory, programmatic, and planning stage and the regulatory and procedural instruments aimed at guaranteeing the effectiveness of the dialogue between law and technique, a prerequisite for the correct application, and therefore the effectiveness, of the principles of precaution and prevention.
This relation will be examined in depth, highlighting, for example, the role that permanent monitoring and observation systems, possibly also in collaboration with the operational groups envisaged for seismic emergencies, can play in defining that framework of knowledge and procedures for the dissemination and transmission thereof, which is indispensable for proper territorial planning. A focus will be reserved for the data collected from the observations of the monitoring networks to verify the degree of penetration they have within public decision-making processes, including urban planning decisions and specific planning decisions for managing emergencies such as plans and red evacuation zones.
The analysis of the data, which includes the verification of the costs that failure to consider volcanological risk entails, is functional to the formulation of proposals for the identification of guidelines that define tools and methods through which to ensure stability and convergence between administration, prevention and technical knowledge from the volcanic risk perspective, drawing on recent experience to renew the vision of a truly resilient administration and response.

Convener: Loredana Nada Elvira Giani | Co-conveners: Vinicio Brigante, Vanessa Manzetti, Giovanna Iacovone, Beniamino Murgante
Orals
| Mon, 24 Apr, 08:30–10:10 (CEST)
 
Room 1.15/16
Posters on site
| Attendance Mon, 24 Apr, 14:00–15:45 (CEST)
 
Hall X4
Orals |
Mon, 08:30
Mon, 14:00
GMPV9.1 EDI

Monitoring of volcanic hazards by combining field observations, satellite data and numerical models, presents extraordinarily challenging problems, from detecting and quantifying hazardous phenomena during eruptive events to forecasting their impact to assess risks to people and property. This session welcomes contributions addressing unresolved challenging questions related to complex geophysical flow modeling, including physical-mathematical formulations, numerical methods and satellite data analysis as well as contributions that cross-fertilize efforts in traditional volcano monitoring with new technological innovations from statistical methods and artificial intelligence. Goals for the session include: (i) expanding knowledge of complex volcanic processes and their space-time dynamics; (ii) monitoring and modeling volcanic phenomena; (iii) evaluating model robustness through validation against real case studies, analytical solutions and laboratory experiments; (iv) quantifying the uncertainty propagation through both forward (sensitivity analyses) and inverse (optimization/calibration) modeling in all areas of volcanic hazard; (v) investigating the potential of machine learning techniques to process remote sensing data for developing a better understanding of volcanic hazards.

Co-organized by NH2
Convener: Gaetana Ganci | Co-conveners: Giuseppe Bilotta, Nikola RogicECSECS, Annalisa CappelloECSECS, Claudia Corradino, Federica TorrisiECSECS, Eleonora Amato
Orals
| Thu, 27 Apr, 14:00–15:45 (CEST)
 
Room -2.91
Posters on site
| Attendance Thu, 27 Apr, 08:30–10:15 (CEST)
 
Hall X2
Posters virtual
| Thu, 27 Apr, 08:30–10:15 (CEST)
 
vHall GMPV/G/GD/SM
Orals |
Thu, 14:00
Thu, 08:30
Thu, 08:30
GMPV8.5 EDI

Volcanoes release gas effluents and aerosol particles into the atmosphere during eruptive episodes and by quiescent emissions. Volcanic degassing exerts a dominant role in forcing the timing and nature of volcanic unrest and eruptions. Understanding the exsolution processes of gas species dissolved in magma, and measuring their emissions is crucial to characterise eruptive mechanism and evaluate the sub-sequent impacts on the atmospheric composition, the environment and the biosphere. Emissions range from silent exhalation through soils to astonishing eruptive clouds that release gas and particles into the atmosphere, potentially exerting a strong impact on the Earth’s radiation budget and climate over a range of temporal and spatial scales. Strong explosive volcanic eruptions are a major natural driver of climate variability at interannual to multidecadal time scales. Quiescent passive degassing and smaller-magnitude eruptions on the other hand can impact on regional climate system. Through direct exposure and indirect effects, volcanic emissions may influence local-to-regional air quality and seriously affect the biosphere and environment. Volcanic gases can also present significant hazards to populations downwind of an eruption, in terms of human, animal and plant health, which subsequently can affect livelihoods and cause socio-economic challenges. Gas emissions are measured and monitored via a range of in-situ and remote sensing techniques, to gain insights into both the subterranean-surface processes and quantify the extent of their impacts. In addition, modelling of the subsurface and atmospheric/climatic processes, as well as laboratory experiments, are fundamental to the interpretation of field-based and satellite observations.

This session focuses on the state-of-the-art and interdisciplinary science concerning all aspects of volcanic degassing and impacts of relevance to the Volcanology, Environmental, Atmospheric and Climate sciences (including regional climate), and Hazard assessment. We invite contributions on all aspects of volcanic plumes science, their observation, modelling and impacts. We welcome contributions that address issues around the assessment of hazards and impacts from volcanic degassing both in crises and at persistently degassing volcanoes.

Co-organized by AS4/CL1/NH2
Convener: Pasquale Sellitto | Co-conveners: Giuseppe G. Salerno, Corinna KlossECSECS, Tjarda Roberts
Orals
| Mon, 24 Apr, 08:30–10:05 (CEST)
 
Room -2.47/48
Posters on site
| Attendance Mon, 24 Apr, 10:45–12:30 (CEST)
 
Hall X2
Orals |
Mon, 08:30
Mon, 10:45
GMPV8.6 EDI

Over the past few years, major technological advances significantly increased both the spatial coverage and frequency bandwidth of multi-disciplinary observations at active volcanoes. Networks of instruments, both ground- and satellite-based, now allow for the quantitative measurement of geophysical responses, geological features and geochemical emissions, permitting an unprecedented, multi-parameter vision of the surface manifestations of mass transport beneath volcanoes. Furthermore, new models and processing techniques have led to innovative paradigms for inverting observational data to image the structures and interpret the dynamics of volcanoes. Within this context, this session aims to bring together a multidisciplinary audience to discuss the most recent innovations in volcano imaging and monitoring, and to present observations, methods and models that increase our understanding of volcanic processes.
We welcome contributions (1) related to methodological and instrumental advances in geophysical, geological and geochemical imaging of volcanoes, and (2) to explore new knowledge provided by these studies on the internal structure and physical processes of volcanic systems.
We invite contributors from all geophysical, geological and geochemical disciplines: seismology, electromagnetics, geoelectrics, gravimetry, magnetics, muon tomography, volatile measurements and analysis. The session will include in-situ monitoring and high- resolution remote sensing studies that resolve volcanic systems ranging from near-surface hydrothermal activity to deep magma migration.

Co-organized by NH2
Convener: Jurgen Neuberg | Co-conveners: Luca De Siena, Thomas R. Walter, Catherine Hayer
Orals
| Thu, 27 Apr, 10:45–12:30 (CEST)
 
Room -2.91
Posters on site
| Attendance Thu, 27 Apr, 08:30–10:15 (CEST)
 
Hall X2
Orals |
Thu, 10:45
Thu, 08:30
GMPV8.1 EDI

The session deals with the documentation and modelling of the tectonic, deformation and geodetic features of any type of volcanic area, on Earth and in the Solar System. The focus is on advancing our understanding on any type of deformation of active and non-active volcanoes, on the associated behaviours, and the implications for hazards. We welcome contributions based on results from fieldwork, remote-sensing studies, geodetic and geophysical measurements, analytical, analogue and numerical simulations, and laboratory studies of volcanic rocks.
Studies may be focused at the regional scale, investigating the tectonic setting responsible for and controlling volcanic activity, both along divergent and convergent plate boundaries, as well in intraplate settings. At a more local scale, all types of surface deformation in volcanic areas are of interest, such as elastic inflation and deflation, or anelastic processes, including caldera and flank collapses. Deeper, sub-volcanic deformation studies, concerning the emplacement of intrusions, as sills, dikes and laccoliths, are most welcome.
We also particularly welcome geophysical data aimed at understanding magmatic processes during volcano unrest. These include geodetic studies obtained mainly through GPS and InSAR, as well as at their modelling to imagine sources.

The session includes, but is not restricted to, the following topics:
• volcanism and regional tectonics;
• formation of magma chambers, laccoliths, and other intrusions;
• dyke and sill propagation, emplacement, and arrest;
• earthquakes and eruptions;
• caldera collapse, resurgence, and unrest;
• flank collapse;
• volcano deformation monitoring;
• volcano deformation and hazard mitigation;
• volcano unrest;
• mechanical properties of rocks in volcanic areas.

Co-organized by G3/GD2/NH2/TS10
Convener: Valerio Acocella | Co-conveners: Agust Gudmundsson, Thorbjorg Agustsdottir, Michael Heap, Sigurjon Jonsson, Virginie Pinel
Orals
| Fri, 28 Apr, 08:30–12:25 (CEST)
 
Room D1
Posters on site
| Attendance Fri, 28 Apr, 16:15–18:00 (CEST)
 
Hall X2
Orals |
Fri, 08:30
Fri, 16:15

NH3 – Landslide Hazards

Programme group scientific officer: Veronica Pazzi

NH3.1 EDI

Debris flows are among the most dangerous natural hazards that threaten people and infrastructures in both mountainous and volcanic areas. The study of the initiation and dynamics of debris flows, along with the characterization of the associated erosion/deposition processes, is of paramount importance for hazard assessment, land-use planning and design of mitigation measures, including early warning systems. In addition, the impacts of climate change on debris-flow activity must be considered and carefully analyzed, as the number of mountain areas prone to these events may increase in future.
A growing number of scientists with diverse backgrounds are studying debris flows and lahars. The difficulties in measuring parameters related to their initiation and propagation have progressively prompted research into a wide variety of laboratory experiments and monitoring studies. However, there is a need of improving the quality of instrumental observations that would provide knowledge for more accurate hazards maps and modeling. Nowadays, the combination of distributed sensor networks and remote sensing techniques represents a unique opportunity to gather direct observations of debris flows to better constrain their physical properties.
Scientists working in the field of debris flows are invited to present their recent advancements. In addition, contributions from practitioners and decision makers are also welcome. Topics of the session include: field studies and documentation, mechanics of debris-flow initiation and propagation, laboratory experiments, modeling, monitoring, impacts of climate change on debris-flow activity, hazard and risk assessment and mapping, early warning, and alarm systems.

Convener: Marcel Hürlimann | Co-conveners: Velio Coviello (deceased), Xiaojun Guo, Sara Savi, Jacob HirschbergECSECS
Orals
| Fri, 28 Apr, 14:00–15:30 (CEST), 16:15–17:45 (CEST)
 
Room C
Posters on site
| Attendance Fri, 28 Apr, 10:45–12:30 (CEST)
 
Hall X4
Posters virtual
| Fri, 28 Apr, 10:45–12:30 (CEST)
 
vHall NH
Orals |
Fri, 14:00
Fri, 10:45
Fri, 10:45
NH3.2

Large mass movements in rock, debris and ice in glacial masses, represent enormous risks impacting on the socio economic tissue. These complex systems are difficult to describe, investigate, monitor and model. Hence a reliable model of these phenomena requires acquisition and analysis of all the available data. This is the key to support successive steps up to the management of Early Warning systems.
Large instabilities affect all the materials (rock, weak rocks, debris, ice), from low to high altitudes, evolving as slow or fast complex mass movements. This and the complex dependency on forcing factors result in different types and degrees of hazard and risk. Some aspects of these instabilities are still understudied and debated, because of the difficult characterization and few cases thoroughly studied. Regional and temporal distribution and relationships with controlling and triggering factors are poorly understood resulting in poor predictions of their behavior and evolution under present and future climate. Relationships among geological and hydrological boundary conditions and displacements are associated to mechanical controls, hydraulic response and evolution in space and time. Even for well studied and active phenomena warning thresholds are mostly qualitative, based on semi-empirical approaches and do not consider all available data. Then a multidisciplinary approach and a robust set of monitoring data are needed. Many modeling approaches can be applied to evaluate instability and failure, considering triggerings (e.g. rain, seismicity, eruption, snowmelt), failure propagation, leading to rapid mass movements (rock, debris, ice avalanches, flows). Nevertheless, the applied approaches are still phenomenological in most cases and have difficulty to explain the observed behavior. Impacts of such instabilities on structures represents a relevant risk but also an opportunity in terms of investigations and quantitative measurements of effects on structures (e.g. tunnels, dams, roads). Design of these structures and knowledge of their expected performance represent an important element.
We invite all the researchers to present case studies, sharing views and data, to discuss monitoring and modeling approaches and tools, to introduce new approaches for thresholds definition, including advanced numerical modeling, Machine Learning for streamline and offline data analyses, development of monitoring tools and dating or investigation techniques.

Co-organized by GM3
Convener: Giovanni Crosta | Co-conveners: Christian Zangerl, Irene ManzellaECSECS
Orals
| Mon, 24 Apr, 10:45–12:30 (CEST), 14:00–15:45 (CEST)
 
Room 1.15/16
Posters on site
| Attendance Mon, 24 Apr, 08:30–10:15 (CEST)
 
Hall X4
Posters virtual
| Mon, 24 Apr, 08:30–10:15 (CEST)
 
vHall NH
Orals |
Mon, 10:45
Mon, 08:30
Mon, 08:30
NH3.4 EDI

Across the world, a large part of slope instability phenomena is recognized to be regulated by weather patterns largely differing in terms of variables (precipitation, temperature, snow melting) and significant time span (from a few minutes up to several months). Furthermore, weather dynamics largely influence land use/cover playing a key role in the slope-atmosphere interaction. All the mentioned variables are subject to changes due to the observed and expected global warming and resulting climate change. Finally, in recent years, the design, implementation and maintenance of Nature Based Solutions as protection measures for landslide events, heavily connected with weather dynamics, gained a well-deserved interest.
The overall impacts of weather variables (and their changes) depend on the region, spatial scale, time frame, and socio-economic context addressed. However, although even the simple identification of the weather patterns regulating the occurrence of landslide activity represents a not trivial issue, also assuming steady conditions, the expected variations induced by unequivocal global warming make the issue highly complex and require further in-depth investigation.
To support hazards’ monitoring, predictions, and projections, last-generation and updated datasets with high spatio-temporal resolution and quality - as those from the Copernicus Services’ Portals - are useful to feed models, big-data analytics, and indicators’ frameworks enabling timely, robust, and efficient decision making.
The Session aims at presenting studies concerning the analysis of the role of climate-related variables and slope-atmosphere interaction on landslide triggering/activity and/or effectiveness of protection measures, across different geographical contexts and scales. Modelling and monitoring investigations to properly evaluate the energy and water fluxes at the interface and improve the current generation of predictive models are encouraged. Furthermore, are greatly welcome investigations focused on innovative approaches through which the variations induced by climate change on landslide triggering, dynamics, and hazard are analysed. Either studies including analyses of historical records and related climate variables, or modelling approaches driven by future climate exploiting downscaled output of climate projections fit the Session’s purposes. Studies assessing variations in severity, frequency, and/or timing of events and consequent risks are valuable.

Convener: Guido Rianna | Co-conveners: Stefano Luigi Gariano, Séverine Bernardie, Alfredo RederECSECS, Gianvito Scaringi
Posters on site
| Attendance Thu, 27 Apr, 08:30–10:15 (CEST)
 
Hall X4
Thu, 08:30
NH3.5 EDI

Rockfalls, rockslides and rock avalanches are among the primary hazards and drivers of landscape evolution in steep terrain. The physics of rock slope degradation and dynamics of failure and transport mechanisms define the hazards and possible mitigation strategies and enable retrodictions and predictions of events and controls.

This session aims to bring together state-of-the-art methods for predicting, assessing, quantifying, and protecting against rock slope hazards across spatial and temporal scales. We seek innovative contributions from investigators dealing with all stages of rock slope hazards, from weathering and/or damage accumulation, through detachment, transport and deposition, and finally to the development of protection and mitigation measures. In particular, we seek studies presenting new theoretical, numerical or probabilistic modelling approaches, novel data sets derived from laboratory, in situ, or remote sensing applications, and state-of-the-art approaches to social, structural, or natural protection measures. We especially encourage contributions from geomechanics/rock physics, geodynamics, geomorphology and tectonics to better understand how rockfall, rockslides and rock avalanches act across scales.

Co-organized by GM3
Convener: Axel Volkwein | Co-conveners: Michael Krautblatter, Anne Voigtländer
Orals
| Wed, 26 Apr, 14:00–18:00 (CEST)
 
Room 1.31/32
Posters on site
| Attendance Wed, 26 Apr, 10:45–12:30 (CEST)
 
Hall X4
Orals |
Wed, 14:00
Wed, 10:45
NH3.6 EDI

Landslides are ubiquitous geomorphological processes that can have disastrous consequences. Landslides can cause more deaths than any other natural hazard in a number of countries. Predicting landslides is a challenging problem that is important for scientific interest and societal impact because it has the potential to safeguard lives, individual assets, and shared resources. The session's main focus is on cutting-edge approaches and strategies for predicting landslides, including the location, timing, magnitude, and destructiveness of single and multiple slope failures. All landslide types—from fast rockfalls to rapid debris flows, from slow slides to very rapid rock avalanches—are taken into account, from the local to the global scale. Contributions looking at theoretical aspects of predicting natural hazards, with a focus on landslide forecasting, are of interest. These include contributions examining conceptual, mathematical, physical, statistical, numerical, and computational problems, as well as applied contributions showing, with examples, whether it is possible or not to predict individual or multiple landslides, or specific landslide characteristics. Abstracts that evaluate the quality of landslide forecasts, compare the efficiency of various forecasting models, use landslide forecasts in operational systems, and investigate the potential for exploitation of new or emerging technologies, are welcome as well. We anticipate that, in case of a successful session, the most relevant contributions will be collected in the special issue of an international journal.

Co-organized by GM4
Convener: Filippo Catani | Co-conveners: Anne-Laure ArgentinECSECS, Xuanmei Fan, Ugur Ozturk, Hyuck-Jin Park
Orals
| Thu, 27 Apr, 08:30–12:25 (CEST)
 
Room 1.31/32
Posters on site
| Attendance Thu, 27 Apr, 16:15–18:00 (CEST)
 
Hall X4
Posters virtual
| Thu, 27 Apr, 16:15–18:00 (CEST)
 
vHall NH
Orals |
Thu, 08:30
Thu, 16:15
Thu, 16:15
NH3.7 EDI

Landslide early warning systems (LEWS) are cost effective non-structural mitigation measures for landslide risk reduction. For this reason, the design, application and management of LEWS are gaining consensus not only in the scientific literature but also among public administrations and private companies.
LEWS can be applied at different spatial scales of analysis, reliable implementations and prototypal LEWS have been proposed and applied from slope to regional scales.
The structure of LEWS can be schematized as an interrelation of four main components: monitoring, modelling, warning, response. However, tools, instruments, methods employed in the components can vary considerably with the scale of analysis, as well as the characteristics and the aim of the warnings/alerts issued. For instance, at local scale instrumental devices are mostly used to monitor deformations and hydrogeological variables with the aim of setting alert thresholds for evacuation or interruption of services. At regional scale rainfall thresholds are widely used to prepare a timely response of civil protection and first responders. For such systems, hydro-meteorological thresholds built combining different variables represent one of the most promising and recent advancement. Concerning the modeling techniques, analyses on small areas generally allow for the use of physically based models, while statistical models are widely used for larger areas.
This session focuses on LEWS at all scales and stages of maturity (i.e., from prototype to active and dismissed ones). Test cases describing operational application of consolidated approaches are welcome, as well as works dealing with promising recent innovations, even if still at an experimental stage. The session is not focused only on technical scientific aspects, and submissions concerning practical and social aspects are also welcome.

Contributions addressing the following topics will be considered positively:
- conventional and innovative slope-scale monitoring systems for early warning purposes
- conventional and innovative regional prediction tools for warning purposes
- innovative on-site instruments and/or remote sensing devices implemented in LEWS
- warning models for warning/alert issuing
- operational applications and performance analyses of LEWS
- communication strategies
- emergency phase management

Including Sergey Soloviev Medal Lecture
Convener: Stefano Luigi Gariano | Co-conveners: Luca Piciullo, Dalia Kirschbaum, Neelima Satyam, Samuele Segoni, Claudia Meisina, Michele Calvello
Orals
| Thu, 27 Apr, 14:00–17:55 (CEST)
 
Room C
Posters on site
| Attendance Thu, 27 Apr, 10:45–12:30 (CEST)
 
Hall X4
Orals |
Thu, 14:00
Thu, 10:45
NH3.8 EDI

The global increase in damaging landslide events has attracted the attention of governments, practitioners, and scientists to develop functional, reliable and (when possible) low cost monitoring strategies. Numerous case studies have demonstrated how a well-planned monitoring system of landslides is of fundamental importance for long and short-term risk reduction.
Today, the temporal evolution of a landslide is addressed in several ways, encompassing classical and more complex in situ measurements or remotely sensed data acquired from satellite and aerial platforms. All these techniques are adopted for the same final scope: measure landslide motion over time, trying to forecast future evolution or minimally reconstruct its recent past. Real time, near-real time and deferred time strategies can be profitably used for landslide monitoring, depending on the type of phenomenon, the selected monitoring tool, and the acceptable level of risk.
This session follows the general objectives of the International Consortium on Landslides, namely: (i) promote landslide research for the benefit of society, (ii) integrate geosciences and technology within the cultural and social contexts to evaluate landslide risk, and (iii) combine and coordinate international expertise.
Considering these key conceptual drivers, this session aims to present successful monitoring experiences worldwide based on both in situ and/or remotely sensed data. The integration and synergic use of different techniques is welcomed, as well as newly developed tools or data analysis approaches, including big data management strategies. The session is expected to present case studies in which multi-temporal and multi-platform monitoring data are exploited for risk management and Civil Protection aims with positive effects in both social and economic terms. Specific relevance is given to the evaluation of the impact of landslides on cultural heritage.

Co-organized by GM4
Convener: Lorenzo SolariECSECS | Co-conveners: Peter Bobrowsky, Mateja Jemec Auflič, Federico Raspini, Veronica Tofani, Simone MineoECSECS, Massimiliano Bordoni
Orals
| Tue, 25 Apr, 14:00–18:00 (CEST)
 
Room 1.34
Posters on site
| Attendance Tue, 25 Apr, 10:45–12:30 (CEST)
 
Hall X4
Orals |
Tue, 14:00
Tue, 10:45
NH3.9 EDI

Mountain regions are a complex system of different glacial and non-glacial environments rapidly adapting to a changing climate. In this context, short-term landscape evolution is affected by, e.g. glacier motion and a variety of mass movements driven by different processes, evolving at different rates and potentially ending in catastrophic failures. In some cases, deposits may block rivers and form landslide dams that might fail and cause flood waves travelling far from the initial source areas. Such cascading events can pose risks to lives, human activities and infrastructures. With the current state of knowledge, it is very challenging to forecast the exact timing, location and magnitude of such events, raising important scientific and societal questions in terms of when, where and how big the next catastrophic failure may be.

In this session, we bring together researchers from different communities interested in a better understanding of the physical processes controlling mass movements and their associated hazards. The main goals are to present: (i) new examples of large catastrophic slope failures, in particular those causing river-damming; (ii) hitherto unpublished inventories of landslide dams, including statistical analyses of datasets and detailed analyses of case studies, which could be included in a Springer book currently being compiled, iii) insights from field observations and/or laboratory experiments; (iv) statistical and/or artificial intelligence methods to identify and map mass movements; (v) new monitoring approaches (in-situ and remote sensing) applied at different spatial and temporal scales; and (vi) models (from conceptual frameworks to advanced numerical models) for the analysis and interpretation of the governing physical processes.
The session also aims at triggering discussions on strategies applicable for hazard assessment and mitigation and on effective countermeasures that can be implemented to increase preparedness and risk reduction.

Co-organized by GM4
Convener: Andrea Manconi | Co-conveners: Anja Dufresne, Federico Agliardi, Andrea Wolter, Xuanmei Fan, Mylene JacquemartECSECS, Chiara CrippaECSECS
Orals
| Fri, 28 Apr, 08:30–10:15 (CEST)
 
Room C
Posters on site
| Attendance Fri, 28 Apr, 16:15–18:00 (CEST)
 
Hall X4
Orals |
Fri, 08:30
Fri, 16:15
NH3.11

Landslides, debris flows and avalanches are common types of unsteady bulk mass movements. Globally, the risk from these mass movements is expected to increase, due to changes in precipitation patterns, rising average temperatures and continued urbanisation of mountainous regions. Climate change also reduces the power of site-specific empirically-based predictions, requiring updated approaches for effective and robust management of the associated risk.

Given sustained improvements in computational power, the techniques involving artificial intelligence and explicit hydromechanical modelling are becoming more and more widespread. Both techniques have the advantages of reducing our dependence on empirical approaches. This session thus covers two main domains:

1) New approaches and state-of-the-art artificial intelligence techniques on remote sensing data for creating and updating landslide inventories.
2) Advances in hydromechanical numerical models and digital tools for geophysical mass flows.

The ultimate goal of both is integration into the wider context of hazard and/or risk assessment and mitigation.

Contributions to this session may involve:
(a) Regional scale analysis for landslide detection and applications for establishing multi-temporal inventories.
(b) Data processing, fusion, and data manipulation, as well as novel AI model tuning practices.
(c) Evaluating the quality of landslide detection through AI techniques.
(d) Comparing the performance of different AI segmentation models.
(e) Novel constitutive and hydromechanical modelling of flows, both at the field- and laboratory-scales.
(f) Hydromechanical modelling of the interaction of mass movements with structural countermeasures.
(g) Advances in risk analysis through the integration of digital technologies and multidisciplinary viewpoints (potentially including combining AI and hydromechanical modelling techniques).

Co-organized by ESSI1/GI5/GM4
Convener: Sansar Raj MeenaECSECS | Co-conveners: Saoirse Robin GoodwinECSECS, Lorenzo NavaECSECS, Johan Gaume, Brian McArdell, Oriol Monserrat, Vikas Thakur
Orals
| Wed, 26 Apr, 08:30–10:15 (CEST), 10:45–12:25 (CEST)
 
Room 1.31/32
Posters on site
| Attendance Wed, 26 Apr, 14:00–15:45 (CEST)
 
Hall X4
Posters virtual
| Wed, 26 Apr, 14:00–15:45 (CEST)
 
vHall NH
Orals |
Wed, 08:30
Wed, 14:00
Wed, 14:00
NH3.13 EDI

Climate-induced or anthropogenically triggered soil-related geohazards may cause damage to buildings, infrastructure and the environment. Climate-induced geohazards, such as landslides, floods or droughts, are known to exacerbate with climate change due to the increased frequency and intensity of rainfall and extreme weather events.

Solutions that mimic natural or biological processes are increasingly being adopted to mitigate the triggering or propagation of such geohazards through improvement of the soil behaviour and its characteristics.

The use of vegetation on potentially unstable slopes and streambanks is an example of a Nature-Based Solution (NBS).
Microbiological activity can also modify soil behaviour. For example, microbially-induced calcite precipitation and biological exudates (such as vegetation mucilage or biopolymers) can change both soil strength and permeability. Furthermore, fungal activity can improve erosion resistance and alter the rheology of the soil.

These NBS must combine ecological approaches with engineering design in order to provide practical solutions, while also maintaining/enhancing biodiversity and ecosystem services.

This session aims to stimulate interdisciplinary knowledge exchange of NBS and bio-based solutions for geohazard mitigation, with a particular focus on the topics of landslides and erosion.

Contributions could originate from the fields of geotechnical engineering, ecological engineering, biodiversity, forestry, hydrogeology and agronomy, among others. Experiences of interactions between research and industry, with involvement of NBS entrepreneurs, are particularly welcome.

Topics of interest include, but are not limited to:
• Experimental (either laboratory or field) or numerical investigation of hydrological and/or mechanical reinforcement due to vegetation or bio-based solutions for slopes or streambanks;
• Theoretical or empirical data-driven design methods used in geotechnical engineering for vegetated and bio-improved soils;
• Tools, practical approaches and frameworks demonstrating how NBS can be used to mitigate geohazards while providing additional co-benefits;
• Upscaling potential of laboratory data to slope and catchment scales;
• Case studies of restoration, stabilization works, or Eco-DRR, especially involving design principles and performance assessment;
• Guidelines, reviews, and data repositories on NBS for risk reduction, with focus on NBS for infrastructure protection.

Convener: Vittoria Capobianco | Co-conveners: Alessandro Fraccica, Grainne El Mountassir, Gerrit MeijerECSECS, Anil YildizECSECS
Orals
| Fri, 28 Apr, 10:45–12:25 (CEST)
 
Room C
Posters on site
| Attendance Fri, 28 Apr, 16:15–18:00 (CEST)
 
Hall X4
Posters virtual
| Fri, 28 Apr, 16:15–18:00 (CEST)
 
vHall NH
Orals |
Fri, 10:45
Fri, 16:15
Fri, 16:15
CR6.3 EDI | PICO

Snow avalanches range among the most prominent natural hazards which threaten mountain communities worldwide, in particular also in the context of climate change. Snow avalanche formation involves complex interacting processes starting with failure processes at the scale of snow crystals and ending with the release of a large volume of snow at a scale of up to several hundred meters. The practical application of avalanche formation is avalanche forecasting, requiring a thorough understanding of the physical and mechanical properties of snow as well as the influence of meteorological boundary conditions (e.g. precipitation, wind and radiation).

This session aims to improve our understanding of avalanche formation processes and to foster the application to avalanche forecasting. We welcome contributions from novel field, laboratory and numerical studies as well as specific case studies. Topics include, but are not limited to, snow micro-mechanics, snow cover simulations, meteorological driving factors including drifting and blowing snow, spatial variability, avalanche release mechanics, remote avalanche detection, avalanche forecasting and the impact of climate change. While the main focus of this session is on avalanche formation, detection and forecasting, it is closely linked to the session ‘Snow avalanche dynamics: from driving processes to mitigation strategies’, which addresses avalanche dynamics, risk assessment and mitigation strategies.

Co-organized by NH3
Convener: Alec van Herwijnen | Co-conveners: Johan Gaume, Pascal Hagenmuller, Cristina Pérez-Guillén, Gianmarco ValleroECSECS
PICO
| Mon, 24 Apr, 10:45–12:30 (CEST)
 
PICO spot 3a
Mon, 10:45
GM3.3 EDI

Landslide susceptibility, the spatial likelihood of occurrence of landslides, is the subject of countless scientific publications. They use heterogeneous data, and apply many different methods, mostly falling under the definition of statistical and/or machine learning with the common feature of considering many input variables and a single target output, denoting landslide presence. It is a classification problem: given N input variables assuming different values, each combination associated with a 0/1 possible outcome, a model should be trained on some dataset, tested, and eventually it applied to unseen data.
Relevant input data (“predictors”, “factors”, “independent variables”) is usually a mixed set of topographic, morphometric, environmental, climatic, and a landslide inventory. Choice of a specific method depends on software availability, personal background, and existence of relevant literature in the area of interest. New methods are proposed regularly and very often is difficult to judge their relative performance based with respect to existing methods.
A meaningful comparison of many different methods would require a common dataset – a benchmark - to train and test each of them in a systematic way. This is a standard procedure in machine learning science and practice, for virtually all the fields: benchmark datasets exist for medical sciences, image recognition, linguistics, and in general any classification algorithm. The “Iris dataset” is a famous example of a benchmark in classification of numerical data into three different variants of the flower Iris. This session aims at establishing one or more benchmark datasets that could be helpful in landslide susceptibility research, to compare the plethora of existing methods and new methods to come.
We propose an interactive session: the organizers will single out benchmark datasets, share them with participants at due time, prior to the conference venue. We expect abstract proposals to describe the method(s) they intend to apply, the type of data it requires, and an independent case study for which the method proved successful. Participants should be ready to disclose minimal computer code (in any major programming language) to run their method, to apply the code to the benchmark dataset prior to the conference, and present their results. We aim at collecting all of the results in a journal publication, including datasets, benchmark and computer codes in collaboration with the participants.
Download dataset at: http://dx.doi.org/10.31223/X52S9C

Public information:

Benchmark dataset described in:

http://dx.doi.org/10.31223/X52S9C

Download dataset at:

https://geomorphology.irpi.cnr.it/tools/slope-units/slope-units-map/dataset_benchmark.zip

Co-organized by ESSI1/NH3
Convener: Massimiliano Alvioli | Co-conveners: Liesbet JacobsECSECS, Marco LocheECSECS, Carlos H. Grohmann
Orals
| Tue, 25 Apr, 08:30–10:15 (CEST)
 
Room G1
Posters on site
| Attendance Tue, 25 Apr, 10:45–12:30 (CEST)
 
Hall X3
Posters virtual
| Tue, 25 Apr, 10:45–12:30 (CEST)
 
vHall SSP/GM
Orals |
Tue, 08:30
Tue, 10:45
Tue, 10:45
EMRP1.3 EDI

Rock mass deformation and failure at different stress levels (from the brittle regime to the brittle-ductile transition) are controlled by damage processes occurring on different spatial scales, from grain (µm) to geological formation (km) scale. These lead to a progressive increase of micro- and meso-crack intensity in the rock matrix and to the growth of inherited macro-fractures at rock mass scale. Coalescence of these fractures forms large-scale structures such as brittle fault zones, rockslide shear zones, and excavation damage zones (EDZ) in open pit mining and underground construction. Diffuse or localized rock damage have a primary influence on rock properties (strength, elastic moduli, hydraulic and electric properties) and on their evolution across multiple temporal scales spanning from geological time to highly dynamic phenomena as earthquakes, volcanic eruptions, slopes and man-made rock structures. In subcritical stress conditions, damage accumulation results in brittle creep processes key to the long-term evolution of geophysical, geomorphological and geo-engineering systems
Damage and progressive failure processes must be considered to understand the time-dependent hydro-mechanical behaviour of fault damage zones and principal slip zones, and their interplay (e.g. earthquakes vs aseismic creep), volcanic systems and slopes (e.g. slow rock slope deformation vs catastrophic rock slides), as well as the response of rock masses to stress perturbations induced by artificial excavations (tunnels, mines) and loading. At the same time, damage processes control the brittle behaviour of the upper crust and are strongly influenced by intrinsic rock properties (strength, fabric, porosity, anisotropy), geological structures and their inherited damage, as well as by the evolving pressure-temperature with increasing depth and by fluid pressure, transport properties and chemistry.
In this session we will bring together researchers from different communities interested in a better understanding of rock deformation and failure processes and consequence, as well as other related rock mechanics topics. We welcome innovative and novel contributions on experimental studies (both in the laboratory and in situ), continuum / micromechanical analytical and numerical modelling, and applications to fault zones, reservoirs, slope instability and landscape evolution, and engineering applications.

Co-organized by GM3/NH3
Convener: Federico Agliardi | Co-conveners: Carolina GiorgettiECSECS, Anne Voigtländer, Christian Zangerl, Patrick Baud, Sergio Vinciguerra
Orals
| Mon, 24 Apr, 14:00–18:00 (CEST)
 
Room -2.21
Posters on site
| Attendance Tue, 25 Apr, 10:45–12:30 (CEST)
 
Hall X3
Orals |
Mon, 14:00
Tue, 10:45

NH4 – Earthquake Hazards

Programme group scientific officer: Anastasia Nekrasova

NH4.1

From the real-time integration of multi-parametric observations is expected the major contribution to the development of operational t-DASH systems suitable for supporting decision makers with continuously updated seismic hazard scenarios. A very preliminary step in this direction is the identification of those parameters (seismological, chemical, physical, biological, etc.) whose space-time dynamics and/or anomalous variability can be, to some extent, associated with the complex process of preparation of major earthquakes.
This session wants then to encourage studies devoted to demonstrate the added value of the introduction of specific, observations and/or data analysis methods within the t-DASH and StEF perspectives. Therefore, studies based on long-term data analyses, including different conditions of seismic activity, are particularly encouraged. Similarly welcome will be the presentation of infrastructures devoted to maintain and further develop our present observational capabilities of earthquake related phenomena also contributing in this way to build a global multi-parametric Earthquakes Observing System (EQuOS) to complement the existing GEOSS initiative.
To this aim this session is not addressed just to seismology and natural hazards scientists but also to geologist, atmospheric sciences and electromagnetism researchers, whose collaboration is particular important for fully understand mechanisms of earthquake preparation and their possible relation with other measurable quantities. For this reason, all contributions devoted to the description of genetic models of earthquake’s precursory phenomena are equally welcome.

Co-organized by EMRP1/GI6/SM3, co-sponsored by JpGU and EMSEV
Convener: Valerio Tramutoli | Co-conveners: Pier Francesco Biagi, Carolina Filizzola, Nicola Genzano, Iren Moldovan
Orals
| Fri, 28 Apr, 08:30–10:15 (CEST)
 
Room 1.15/16
Posters on site
| Attendance Fri, 28 Apr, 14:00–15:45 (CEST)
 
Hall X4
Posters virtual
| Fri, 28 Apr, 14:00–15:45 (CEST)
 
vHall NH
Orals |
Fri, 08:30
Fri, 14:00
Fri, 14:00
NH4.2 EDI

Earthquake disaster mitigation involves different elements, concerning identification, assessment and reduction of earthquake risk. Each element has various aspects: a) analysis of hazards (e.g. physical description of ground shaking) and its impact on built and natural environment, b) vulnerability and exposure to hazards and capacity building and resilience, c) long-term preparedness and post-event response. Due to the broad range of earthquake disaster mitigation various seismic hazard/risk models are developed at different time scales and by different methods, heterogeneous observations are used and multi-disciplinary information is acquired.
We welcome contributions about different types of seismic hazards research and assessments, both methodological and practical, and their applications to disaster risk reduction in terms of physical and social vulnerability, capacity and resilience.
This session aims to tackle theoretical and implementation issues, as well as aspects of communication and science policy, which are all essential elements towards effective disasters mitigation, and involve:
⇒ the development of physical/statistical models for the different earthquake risk components (hazard, exposure, vulnerability), including novel methods for data collection and processing (e.g. statistical machine learning analysis)
⇒ earthquake hazard and risk estimation at different time and space scales, verifying their performance against observations (including unconventional seismological observations);
⇒ time-dependent seismic hazard and risk assessments (including contribution of aftershocks), and post-event information (early warning, alerts) for emergency management;
⇒ earthquake-induced cascading effects (e.g. landslides, tsunamis, etc.) and multi-risk assessment (e.g. earthquake plus flooding).
The interdisciplinary session promotes knowledge exchange, sharing best practices and experience gained by using different methods, providing this way opportunities to advance our understanding of disaster risk in "all its dimensions of vulnerability, capacity, exposure of persons and assets, hazard characteristics and the environment", while simultaneously highlighting existing gaps and future research directions.

Co-organized by SM7/TS3
Convener: Antonella Peresan | Co-conveners: Alik Ismail-Zadeh, Katerina Orfanogiannaki, Katalin GribovszkiECSECS, Elisa Varini
Orals
| Wed, 26 Apr, 08:30–10:15 (CEST)
 
Room 2.17
Posters on site
| Attendance Wed, 26 Apr, 16:15–18:00 (CEST)
 
Hall X4
Posters virtual
| Wed, 26 Apr, 16:15–18:00 (CEST)
 
vHall NH
Orals |
Wed, 08:30
Wed, 16:15
Wed, 16:15
NH4.3 EDI

New physical and statistical models based on observed seismicity patterns shed light on the preparation process of large earthquakes and on the temporal and spatial evolution of seismicity clusters.

As a result of technological improvements in seismic monitoring, seismic data is nowadays gathered with ever-increasing quality and quantity. As a result, models can benefit from large and accurate seismic catalogues. Indeed, accuracy of hypocenter locations and coherence in magnitude determination are fundamental for reliable analyses. And physics-based earthquake simulators can produce large synthetic catalogues that can be used to improve the models.

Multidisciplinary data recorded by both ground and satellite instruments, such as geodetic deformation, geological and geochemical data, fluid content analyses and laboratory experiments, can better constrain the models, in addition to available seismological results such as source parameters and tomographic information.

Statistical approaches and machine learning techniques of big data analysis are required to benefit from this wealth of information, and unveiling complex and nonlinear relationships in the data. This allows a deeper understanding of earthquake occurrence and its statistical forecasting.

In this session, we invite researchers to present their latest results and findings in physical and statistical models and machine learning approaches for space, time, and magnitude evolution of earthquake sequences. Emphasis will be given to the following topics:

• Physical and statistical models of earthquake occurrence.
• Analysis of earthquake clustering.
• Spatial, temporal and magnitude properties of earthquake statistics.
• Quantitative testing of earthquake occurrence models.
• Reliability of earthquake catalogues.
• Time-dependent hazard assessment.
• Methods and software for earthquake forecasting.
• Data analyses and requirements for model testing.
• Machine learning applied to seismic data.
• Methods for quantifying uncertainty in pattern recognition and machine learning.

Co-organized by SM8
Convener: Stefania Gentili | Co-conveners: Rita Di Giovambattista, Álvaro González, Filippos Vallianatos
Orals
| Wed, 26 Apr, 10:45–12:30 (CEST), 14:00–15:40 (CEST)
 
Room 2.17
Posters on site
| Attendance Wed, 26 Apr, 16:15–18:00 (CEST)
 
Hall X4
Posters virtual
| Wed, 26 Apr, 16:15–18:00 (CEST)
 
vHall NH
Orals |
Wed, 10:45
Wed, 16:15
Wed, 16:15
NH4.4 EDI

The estimation of ground motion for future earthquakes is one of the main tasks of seismology. Among the processes affecting ground motion, local site conditions play a significant role. Earthquake site effects include several phenomena: ground shaking amplification due to local stratigraphic and topographic conditions, liquefaction phenomena, ground failures and cavity collapse, earthquake-induced landslides. The estimate of these effects is a necessary step for seismic hazard and seismic risk mitigation as well as to build effective strategies for urban planning and emergency management.
The goal of this session is to collect contributions on case studies and general perspectives concerning new advances on earthquake site effect estimation, both using numerical simulations and empirical approaches.
We also welcome contributions with a special focus on the characterization of building’s response and their interaction with soil. We encourage multidisciplinary contributions at the boundary between seismology, geology, geotechnics and engineering.
Topics of interest are the following:
- Site characterization and seismic microzonation;
- Empirical/experimental evaluation of topographic/stratigraphic amplification effects;
- Quantitative assessment of seismic site response (1D-2D-3D);
- Earthquake-induced effects on the ground (including historical case studies or inventories): liquefaction, cavity collapse, landslides;
- Buildings’ response characterization;
- Analysis of historical and cultural heritage sites;
- Datasets and databases of building/soil data.
The session also aims to collect results based on different geophysical techniques (e.g., earthquake data, surface wave prospecting, ERT, GPR, seismic refraction tomography, etc.) and their integration.

Convener: Enrico PaolucciECSECS | Co-conveners: Giulia SgattoniECSECS, Hans-Balder Havenith, Francesco Panzera, Sebastiano D’Amico
Orals
| Fri, 28 Apr, 10:45–12:30 (CEST)
 
Room 1.15/16
Posters on site
| Attendance Fri, 28 Apr, 14:00–15:45 (CEST)
 
Hall X4
Posters virtual
| Fri, 28 Apr, 14:00–15:45 (CEST)
 
vHall NH
Orals |
Fri, 10:45
Fri, 14:00
Fri, 14:00
TS3.8 EDI

Deformation zones and faulting processes develop in several geodynamic environments, involving deep and/or shallow crust. In active tectonics contexts, either if they are in subarea or subaqueous environments, unravelling the faults’ long-term evolution has a crucial impact for seismic and tsunami hazard assessment. In case of subaqueous environments, over the last years, new geological and geophysical instrumentation has made possible the acquisition data with unprecedented detail and resolution, providing for a better definition of offshore fault systems and seismic parameter calculations. Moreover, multiple parameters are expected to control fault evolution, such as the tectonic and geodynamic setting, erosion, the amount of sediments deposited on the hanging wall, fluids circulation, or lithology. While the effects of some of these parameters are well established, many others are still poorly constrained by actual data.
This session aims to better define the properties of faults and deformation zones, and to understand how their characteristics change over time. At the same time, this session also aims to compile studies that focus on the use of geological and geophysical data to identify subaqueous active structures, attempting to quantify the seafloor deformation, evaluating their seismogenic and tsunamigenic hazards. We invite contributions dealing with faulting and deformation processes (normal, reverse and strike-slip) worldwide, in different geodynamic contexts, from the scale of the outcrops to mountain ranges, from offshore to lakes, and from the long-term to single seismic events. Since a multidisciplinary approach is the key to deep understanding, studies providing new perspectives and ideas in subaqueous active tectonics or involving diverse methods such as field-data analysis, paleoseismic trenching, stable isotopes, low temperature thermochronology, syn-kinematic U/Pb dating, cosmogenic exposure dating, petrographic analysis, or analogue/numerical modelling are welcome.

Co-organized by NH4
Convener: Riccardo Lanari | Co-conveners: Sara Martínez-Loriente, Silvia Crosetto, Jacob Geersen, Ylona van Dinther, Francesco Emanuele Maesano, Fabio Corbi
Orals
| Wed, 26 Apr, 10:45–12:25 (CEST)
 
Room K1
Posters on site
| Attendance Wed, 26 Apr, 16:15–18:00 (CEST)
 
Hall X2
Orals |
Wed, 10:45
Wed, 16:15
TS3.3 EDI

The session focuses on research aimed at defining the geometry, kinematics, and associated stress- and deformation fields of active faults, as well as building up tectonic and seismotectonic models, in all tectonic regimes, including volcanic areas. Assessing the geometry and kinematics of faults, key to seismic hazard assessment, can be often challenging due to the possible paucity of quantitative data, both at the near-surface and at seismogenic depths.
Tackling this challenging issue is nowadays possible by combining data from different approaches and disciplines, with the aim of obtaining a more detailed characterization/imaging of single active faults, as well as reliable seismotectonic models. In addition, technological advances in data collection and analysis provide a significant contribution. As an example, photogrammetry and LIDAR-derived models enable collecting a great deal of geological data even in inaccessible areas; these data can then be integrated with field (structural), seismological and geophysical data with the purpose of a better understanding of active faults geometry. Also, the improvement in data processing allows to enhance seismic catalogues in areas with low-level seismicity, as well as collect new and more detailed data from geophysical, geodetic, or remote-sensing analysis.
Contributions dealing with the following topics are welcome: i) active faults, including volcanic areas; ii) classical to innovative multiscale and multidisciplinary geological, seismological and geophysical approaches; iii) new or revised seismological, geophysical, field-and remotely-collected datasets; iv) faults imaging, tectonic-setting definition and seismotectonic models; v) numerical and analogue modelling.

Co-organized by NH4
Convener: Fabio Luca Bonali | Co-conveners: Rita De Nardis, Federica Ferrarini, Ramon Arrowsmith, Victor Alania
Orals
| Tue, 25 Apr, 14:00–17:15 (CEST)
 
Room D1
Posters on site
| Attendance Wed, 26 Apr, 10:45–12:30 (CEST)
 
Hall X2
Orals |
Tue, 14:00
Wed, 10:45
SM4.2 EDI

Slow earthquakes are widely observed in subduction zones, where they episodically release the tectonic strain built-up in the brittle-ductile transition zone. Given their proximity to the seismogenic megathrust, a comprehensive understanding of slow earthquakes may shed light on the stress condition of the megathrust fault. With improved quantities of data and advanced technologies, the nature of slow earthquakes has been intensively investigated in a variety of tectonic environments over the past decades. This session aims to offer a broad space for discussion of the recent advances in slow earthquakes.
We seek studies ranging from lab to volcanic and tectonic scales and from diverse geological and geophysical (including but not limited to seismic and geodetic) observations to imaging and modeling. We welcome abstracts focused on earthquake detection, scaling, source, rupture process, and fluid or/and heterogeneity effects. Within the larger context of this session, we also seek abstracts illuminating the connection between slow and fast earthquakes.

Co-organized by NH4
Convener: Qing-Yu WangECSECS | Co-conveners: Shunsuke TakemuraECSECS, Mariano Supino, Natalia Poiata, Kate Huihsuan Chen
Orals
| Thu, 27 Apr, 14:00–15:45 (CEST)
 
Room 0.16
Posters on site
| Attendance Thu, 27 Apr, 08:30–10:15 (CEST)
 
Hall X2
Orals |
Thu, 14:00
Thu, 08:30
SM4.1

This session will focus on three approaches for investigating the physics of earthquakes: imaging, numerical simulations, and machine learning. We solicit abstracts on works to image rupture kinematics, simulate earthquake dynamics using numerical methods, and those using Machine Learning (ML) to improve understanding of the physics of earthquakes. We invite in particular works that aim to develop a deeper understanding of earthquake source physics by linking novel laboratory experiments to earthquake dynamics, and studies on earthquake scaling properties. We also encourage works that illuminate the physics behind and transferability to Earth of studies showing that acoustic emissions can be used to predict characteristics of laboratory earthquakes and identify precursors to labquakes. Other works show progress in imaging earthquake sources using seismic data and surface deformation measurements (e.g. GPS and InSAR) to estimate rupture properties on faults and fault systems.

We want to highlight strengths and limitations of each data set and method in the context of the source-inversion problem, accounting for uncertainties and robustness of the source models and imaging or simulation methods. Contributions are welcome that make use of modern computing paradigms and infrastructure to tackle large-scale forward simulation of earthquake process, but also inverse modeling to retrieve the rupture process with proper uncertainty quantification. We also welcome ML-based works on a broad range of issues in seismology and encourage seismic studies using data from natural faults, lab results and numerical approaches to understand earthquake physics.

Co-organized by NH4
Convener: Henriette Sudhaus | Co-conveners: Chris Marone, Alice-Agnes GabrielECSECS, Elisa Tinti, Paul Johnson, P. Martin Mai
Orals
| Fri, 28 Apr, 08:30–12:30 (CEST)
 
Room -2.47/48
Posters on site
| Attendance Fri, 28 Apr, 14:00–15:45 (CEST)
 
Hall X2
Posters virtual
| Fri, 28 Apr, 14:00–15:45 (CEST)
 
vHall GMPV/G/GD/SM
Orals |
Fri, 08:30
Fri, 14:00
Fri, 14:00
SM7.2

Damaging earthquakes create massive devastation in two ways: the loss of property and the loss of human life, out of which loss of human life can be easily reduced by interventions from earthquake early warning systems. Therefore, along with hazard, risk, and mitigation planning, earthquake prevention, prediction, early warning, and probability monitoring are crucial. Early warning systems have been deployed and are in operation in many nations including China, Taiwan, Japan, the USA, and Chile etc. Most of the systems work on classical regression equations and due to their inability to produce reliable data, old methodologies are no longer employed in the contemporary hazard assessment, earthquake early waring and monitoring of earthquakes. AI/ML techniques have made in roads for better understanding the nonlinear behavior and are capable of relatively more realistic predictions of the attributes, more so when data paucity has gone. The most recent method for earthquake prediction, probability evaluation and earthquake early warning is machine learning. Machine learning (ML) techniques have been extensively used in recent years to monitor earthquakes and analyze seismic data, including seismic detection, seismic classification, seismic denoising, phase picking, phase association, earthquake location, magnitude estimation, ground motion prediction, earthquake early warning, source inversion, and subsurface imaging. Due to its impressive accuracy and efficiency, ML-based phase picking has received a lot of interest and has been widely used for earthquake monitoring at local and regional scales, although global and regional ML phase pickers have received less attention.
This session appreciates contributions on the recent advancement in seismic hazard and risk assessment and earthquake early warning methods. We also, welcome the contribution on the application of ML in earthquake source dynamics, wave attenuation characterization and Seismic tomography.

Co-organized by NH4
Convener: Prof. M.L. Sharma | Co-conveners: Rohtash KumarECSECS, Dr. Ranjit Das, Mr. Lalit Arya
Orals
| Fri, 28 Apr, 14:00–15:10 (CEST)
 
Room -2.47/48
Posters on site
| Attendance Fri, 28 Apr, 10:45–12:30 (CEST)
 
Hall X2
Posters virtual
| Fri, 28 Apr, 10:45–12:30 (CEST)
 
vHall GMPV/G/GD/SM
Orals |
Fri, 14:00
Fri, 10:45
Fri, 10:45
SM8.1 EDI

Computational earth science often relies on modelling to understand complex physical systems which cannot be directly observed. Over the last years, numerical modeling of earthquakes provides new approaches to apprehend the physics of earthquake rupture and the seismic cycle, seismic wave propagation, fault zone evolution and seismic hazard assessment. Recent advances in numerical algorithms and increasing computational power enable unforeseen precision and multi-physics components in physics-based simulations of earthquake rupture and seismic wave propagation but also pose challenges in terms of fully exploiting modern supercomputing infrastructure, realistic parameterization of simulation ingredients and the analysis of large synthetic datasets while advances in laboratory experiments link earthquake source processes to rock mechanics. This session aims to bring together modelers and data analysts interested in the physics and computational aspects of earthquake phenomena and earthquake engineering. We welcome studies focusing on all aspects of seismic hazard assessment and the physics of earthquakes — from slow slip events, fault mechanics and rupture dynamics, to wave propagation and ground motion analysis, to the seismic cycle and inter seismic deformation — and studies which further the state-of-the art in the related computational and numerical aspects.

Co-organized by NH4/NP4
Convener: Luca Dal Zilio | Co-conveners: William FrazerECSECS, Casper PrangerECSECS, Jonathan WolfECSECS, Elisa Tinti, ‪Alice-Agnes Gabriel, Jean Paul Ampuero
Orals
| Mon, 24 Apr, 08:30–12:30 (CEST)
 
Room G2
Posters on site
| Attendance Mon, 24 Apr, 16:15–18:00 (CEST)
 
Hall X2
Posters virtual
| Mon, 24 Apr, 16:15–18:00 (CEST)
 
vHall GMPV/G/GD/SM
Orals |
Mon, 08:30
Mon, 16:15
Mon, 16:15

NH5 – Sea & Ocean Hazards

Programme group scientific officer: Filippo Zaniboni

NH5.1 EDI

Tsunamis can produce catastrophic damage on vulnerable coastlines, essentially following major earthquakes, landslides, extreme volcanic activity or atmospheric disturbances.
After the disastrous tsunamis in 2004 and 2011, tsunami science has been continuously growing and expanding its scope to new fields of research in various domains, and also to regions where the tsunami hazard was previously underestimated.

The tsunami following the eruption of Hunga Tonga - Hunga Ha'apai in January 2022 provided a new and urging challenge, being an event with an extremely complicated source process and a consequently non-trivial global propagation, posing new questions in terms of modeling, hazard assessment and warning at different scales and evidencing the need for a closer cooperation among different research communities.

The spectrum of topics addressed by tsunami science nowadays ranges from the “classical” themes, such as analytical and numerical modelling of different generation mechanisms (ranging from large subduction earthquakes to local earthquakes generated in tectonically complex environments, from subaerial/submarine landslides to volcanic eruptions and atmospheric disturbances), propagation and run-up, hazard-vulnerability-risk assessment, especially with probabilistic approaches able to quantify uncertainties, early warning and monitoring, to more “applied” themes such as the societal and economic impact of moderate-to-large events on coastal local and nation-wide communities, as well as the present and future challenges connected to the global climate change.

This session welcomes multidisciplinary as well as focused contributions covering any of the aspects mentioned above, encompassing field data, geophysical models, regional and local hazard-vulnerability-risk studies, observation databases, numerical and experimental modeling, real time networks, operational tools and procedures towards a most efficient warning, with the general scope of improving our understanding of the tsunami phenomenon, per se and in the context of the global change, and our capacity to build safer and more resilient communities.

Co-organized by GM6/OS2/SM7
Convener: Alberto Armigliato | Co-conveners: Ira Didenkulova, Hélène Hébert, Lyuba DimovaECSECS
Orals
| Thu, 27 Apr, 08:30–12:40 (CEST)
 
Room 1.15/16
Posters on site
| Attendance Thu, 27 Apr, 14:00–15:45 (CEST)
 
Hall X4
Orals |
Thu, 08:30
Thu, 14:00
NH5.2 EDI | PICO

The scope of this session includes different aspects of large-amplitude wave phenomena in the ocean such as freak or rogue waves, surface and internal waves, as well as waves trapped by currents and bathymetry. The session is focused on the understanding of the physical mechanisms which cause extreme events, the derivation of appropriate mathematical models for their description and advanced methods for their analysis. An essential part of such studies is the validation of new models and techniques versus laboratory and in-situ data. Special attention is paid to the description of wave breaking processes, and the interaction of large-amplitude waves with marine structures in offshore and coastal areas.

Convener: Alexey Slunyaev | Co-conveners: Amin Chabchoub, Henrik Kalisch, Yan Li, Efim Pelinovsky
PICO
| Tue, 25 Apr, 10:45–12:30 (CEST)
 
PICO spot 3b
Tue, 10:45
NH5.4

Coastal areas are vulnerable to erosion, flooding and salinization driven by hydrodynamic hydro-sedimentary and biological processes and human interventions. This vulnerability is likely to be exacerbated in future with, for example, sea-level rise, changing intensity of tropical cyclones, increased subsidence due to groundwater extraction, tectonics, as well as increasing socio-economic development in the coastal zone. This calls for a better understanding of the underlying physical processes and their interaction with the coast. One valuable source of information is the study of past extreme events, which can be reconstructed by combining modelling approaches and field observations. Numerical models also play a crucial role in characterizing future coastal hazards and their associated risks. Drawing firm conclusions about current and future risks is challenging because uncertainties are often large, such as coastal impacts of likely and unlikely (also called high-end) sea-level changes for the 21st century. Furthermore, studies addressing coastal impacts beyond this century pose new questions regarding the timescale of impacts and adaptation activity. This session invites submissions focusing on assessments and case studies at global, regional, and local scales of physical and socioeconomic impacts of tsunamis and, storm surge, sea-level rise, waves, and currents on coasts. We also welcome submissions on aspects of paleo-tsunami and paleo-storm surge research, including studies that use established methods or recent interdisciplinary advances to reconstruct records of past events, or forecast the probability of future events.

Convener: Alexandra Toimil | Co-conveners: Luke Jackson, Nicoletta Leonardi, Joern Behrens, Ed Garrett, Jessica Pilarczyk, Simon Matthias May
Orals
| Fri, 28 Apr, 14:00–15:40 (CEST), 16:15–17:55 (CEST)
 
Room 1.15/16
Posters on site
| Attendance Fri, 28 Apr, 10:45–12:30 (CEST)
 
Hall X4
Posters virtual
| Fri, 28 Apr, 10:45–12:30 (CEST)
 
vHall NH
Orals |
Fri, 14:00
Fri, 10:45
Fri, 10:45

NH6 – Remote Sensing & Hazards

Programme group scientific officer: Giorgio Boni

NH6.1

Synthetic aperture radar (SAR) remote sensing is an established tool for natural and anthropogenic hazards mapping and monitoring. The new generation of radar satellite constellations along with a consistent repository of historical observations is fostering comprehensive multi-sensor hazard analyses. New constellations’ capabilities rely on innovative techniques based on high-resolution/wide-swath and short-temporal Interferometric SAR (InSAR). While acknowledging the benefits brought by these recent developments, the scientific community is now defining a new paradigm of techniques capable of: extracting relevant information from SAR imagery, designing proper methodologies for specific hazards, managing large SAR datasets (e.g. National ground motion services, Copernicus EGMS), and integrating radar data with multispectral satellite observations.

This session aims to explore the synergistic Use of SAR constellations' data exploitation for Earth Science, Civil Engineering and Natural Hazard response.

Public information:

Dear authors,

A gentle reminder for all the oral presenters of session 6.1 (Interferometric Synthetic Aperture Radar products for studying hazard assessment from local to continental scale) to be held on Friday 28th of April.

Do please upload your presentation files early enough (at least 24 hours prior to the session start).

Information on how to upload your presentation, are available here: https://egu23.eu/guidelines/presenters.html

Hope to see you all in Vienna.

Alessandro Novellino (alessn@bgs.ac.uk)

Convener: Pietro Milillo | Co-conveners: Jacqueline Salzer, Roberta Bonì, Alessandro Novellino
Orals
| Fri, 28 Apr, 14:00–15:45 (CEST), 16:15–18:00 (CEST)
 
Room 1.34
Posters on site
| Attendance Fri, 28 Apr, 08:30–10:15 (CEST)
 
Hall X4
Orals |
Fri, 14:00
Fri, 08:30
NH6.2 EDI | PICO

Remote sensing and Earth Observations (EO) are used increasingly in the different phases of the risk management and in development cooperation, due to the challenges posed by contemporary issues such as climate change, and increasingly complex social interactions. The advent of new, more powerful sensors and more finely tuned detection algorithms provide the opportunity to assess and quantify natural hazards, their consequences, and vulnerable regions, more comprehensively than ever before.
Several agencies have now inserted permanently into their program the applications of EO data to risk management. During the preparedness and prevention phase, EO revealed, fundamental for hazard, vulnerability, and risk mapping. EO data intervenes both in the emergency forecast and early emergency response, thanks to the potential of rapid mapping. EO data is also increasingly being used for mapping useful information for planning interventions in the recovery phase, and then providing the assessment and analysis of natural hazards, from small to large regions around the globe. In this framework, Committee on Earth Observation Satellites (CEOS) has been working from several years on disasters management related to natural hazards (e.g., volcanic, seismic, landslide and flooding ones), including pilots, demonstrators, recovery observatory concepts, Geohazard Supersites, and Natural Laboratory (GSNL) initiatives and multi-hazard management projects.
In addition to the points above, UAS/drone acquisitions and processing techniques have demonsted their benefits in EO sciences and in particular to study all Geological & Geomorphological objects in terms of 2D/3D geometries (description, location, characterization, quantification, modelisation...) to better constrain Earth Sciences processes. This includes not only classical photogrammetric technics using aerial photographs but also new techniques such as UAS-Lidar acquisition, and/or new UAS-interferometric acquisitions. Many case studies can be taken into account, e.g. DTM/DSM reconstruction, analogs of sandstones or limestones reservoirs, active sedimentological processes in shoreline areas, geodetic measurements as well as natural hazards processes such as landslides, floods, seismic and tectonic studies, infrastructure damages and so on.
The session is dedicated to multidisciplinary contributions focused on the demonstration of the benefit of the use of multi-platform EO for natural hazards, risk management and geological/geomorphological studies.
The research presented might focus on:
- Addressed value of EO data in hazard/risk forecasting models
- Innovative applications of EO data for rapid hazard, vulnerability and risk mapping, the post-disaster recovery phase, and in support of disaster risk reduction strategies
- Development of tools for assessment and validation of hazard/risk models
- New methodologies and results from UAV/Drone acquisitions for geological and geomorphological analyses;
- Share UAS/drone experiences on the study of various geological, geomorphological objects and their associated Natural Hazards.

The use of different types of remote sensing data (e.g. thermal, visual, radar, laser, and/or the fusion of these) and platforms (e.g. space-borne, airborne, UAS, drone, etc.) is highly recommended, with an evaluation of their respective pros and cons focusing also on future opportunities (e.g. new sensors, new algorithms).
Early-stage researchers are strongly encouraged to present their research. Moreover, contributions from international cooperation, such as CEOS and GEO initiatives, are welcome.

Convener: Antonio Montuori | Co-conveners: Benoit Deffontaines, Mihai Niculita, Michelle Parks, Eugenio StraffeliniECSECS, Kuo-Jen Chang
PICO
| Thu, 27 Apr, 08:30–12:30 (CEST), 14:00–15:45 (CEST)
 
PICO spot 3a
Thu, 08:30
NH6.3

SAR remote sensing is an invaluable tool for monitoring and responding to natural and human-induced hazards. Especially with the unprecedented spatio-temporal resolution and the rapid increase of SAR data collections from legacy SAR missions, we are allowed to exploit hazard-related signals from the SAR phase and amplitude imagery, characterize the associated spatio-temporal ground deformations and land alterations, and decipher the operating mechanism of the geosystems in geodetic timescales. Yet, optimally extracting surface displacements and disturbance from SAR imagery, synergizing cross-disciplinary big data, and bridging the linking knowledge between observations and mechanisms of different hazardous events are still challenging. Therefore, in this session, we welcome contributions that focus on (1) new algorithms, including machine and deep learning approaches, to retrieve critical products from SAR remote sensing big data in an accurate, automated, and efficient framework; (2) SAR applications for natural and human-induced hazards including such as flooding, landslides, earthquakes, volcanic eruptions, glacial movement, permafrost destroying, mining, oil/gas production, fluid injection/extraction, peatland damage, urban subsidence, sinkholes, oil spill, and land degradation; and (3) mathematical and physical modeling of the SAR products such as estimating displacement velocities and time series for a better understanding on the surface and subsurface processes.

Convener: Ling Chang | Co-conveners: Mahdi Motagh, Xie Hu
Orals
| Wed, 26 Apr, 08:30–10:05 (CEST), 10:45–12:15 (CEST), 14:00–15:20 (CEST)
 
Room 1.34
Posters on site
| Attendance Wed, 26 Apr, 16:15–18:00 (CEST)
 
Hall X4
Posters virtual
| Wed, 26 Apr, 16:15–18:00 (CEST)
 
vHall NH
Orals |
Wed, 08:30
Wed, 16:15
Wed, 16:15
GI6.1

Environmental systems often span spatial and temporal scales covering different orders of magnitude. The session is oriented toward collecting studies relevant to understand multiscale aspects of these systems and in proposing adequate multi-platform and inter-disciplinary surveillance networks monitoring tools systems. It is especially aimed to emphasize the interaction between environmental processes occurring at different scales. In particular, special attention is devoted to the studies focused on the development of new techniques and integrated instrumentation for multiscale monitoring of high natural risk areas, such as volcanic, seismic, energy exploitation, slope instability, floods, coastal instability, climate changes, and another environmental context.
We expect contributions derived from several disciplines, such as applied geophysics, geology, seismology, geodesy, geochemistry, remote and proximal sensing, volcanology, geotechnical, soil science, marine geology, oceanography, climatology, and meteorology. In this context, the contributions in analytical and numerical modeling of geological and environmental processes are also expected.
Finally, we stress that the inter-disciplinary studies that highlight the multiscale properties of natural processes analyzed and monitored by using several methodologies are welcome.

Co-organized by CL5/ERE1/ESSI4/GMPV1/NH6/NP3
Convener: Raffaele Castaldo | Co-conveners: Antonello BonfanteECSECS, Pietro Tizzani, Nemesio M. Pérez, Andrea BaroneECSECS
Orals
| Mon, 24 Apr, 14:00–15:45 (CEST)
 
Room -2.31
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 ESSI/GI/NP
Orals |
Mon, 14:00
Mon, 10:45
Mon, 10:45
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
GI6.7 EDI

European production and infrastructure depend on a supply of high-quality raw materials. Ensuring that the needed materials are produced responsibly in European mines guarantees sustainable supply and prevents European countries from becoming dependent upon imports from global markets. To support the development of the European mining industry through technological solutions integrating remote sensing (both satellite and aerial) and on-site recorded data is needed. One such solution is an H2020 GoldenEye project developed Goldeneye platform. Technologies involved, but not limited to are, artificial intelligence, Earth observations data (InSAR, RGB, multispectral), drone-based data (RGB, multispectral and hyperspectral imaging, electromagnetic and conductivity surveys) supported with extensive ground-truth sampling.

The purpose of the session is to gather experts, service providers, trial site providers and interested alike in highlighting the ongoing research, sister projects and their applications on remote sensing and artificial intelligence for safe, sustainable and cost-efficient mining operations.

The conveners encourage both applied and theoretical contributions, together with how the trial sites can support the application development.

This session is organised in the frame of the Horizon 2020 co-funded project GOLDENEYE, which has received funds through Grant Agreement 869398.

Co-organized by NH6
Convener: Jari JoutsenvaaraECSECS | Co-conveners: Kamen Bogdanov, Sanna Uusitalo
Orals
| Mon, 24 Apr, 10:45–12:30 (CEST)
 
Room 0.51
Posters on site
| Attendance Mon, 24 Apr, 14:00–15:45 (CEST)
 
Hall X4
Posters virtual
| Mon, 24 Apr, 14:00–15:45 (CEST)
 
vHall ESSI/GI/NP
Orals |
Mon, 10:45
Mon, 14:00
Mon, 14:00

NH7 – Wildfire Hazards

Programme group scientific officer: Marj Tonini

NH7.1 EDI

Wildfires represent a hazardous and harmful phenomenon to people and the environment, especially in populated areas where the primary cause of ignition is related to human activities. This has motivated governments to develop spatio-temporal datasets and to produce risk and prognostic maps. A key tool in this respect is to investigate the spatial and temporal distribution of wildfires and to understand their relationships with the surrounding environmental, climatological and socio-economic factors.
Innovative algorithms and methodologies developed in the geocomputational science field have proved to be useful in analysing spatially distributed natural hazards and ongoing phenomena such as wildfires. Moreover, considering the fast-growing availability of high digital geo-referenced data, it is important to promote methods and new tools for their study, especially for large-scale analysis. A new exciting challenge is to convert available datasets into meaningful and valuable information.
This session aims to bring together wildfire scientists, researchers of various geo-environmental disciplines, economists, managers, people responsible for territorial and urban planning, and policymakers. The main goal is to improve the understanding of the wildfire regime and to discuss new strategies to mitigate the disastrous effects of wildfires. We welcome empirical studies, new and innovative technologies, theories, models, and strategies for fire research, seeking especially to identify and characterize the spatial-temporal patterns of wildfires.
Research topics include, but are not limited, to the following:
• development of methodologies based on expert knowledge and data-driven approaches, for the recognition, modelling and prediction of structured patterns in wildfires;
• pre- and post-fire assessment: wildfire incidence mapping and spatial distribution; wildfire severity and damages; wildfire risk management;
• long-term wildfires patterns and trends: relation between wildfires and global changes such as climate and land use/ land cover changes;
• wildfire spread models, ranging from case studies to long-term climatological assessments;
• post-fire vegetation recovery and vegetation phenology.

Public information:

Wildfires represent a hazardous and harmful phenomenon to people and the environment, especially in populated areas where the primary cause of ignition is related to human activities. This has motivated governments to develop spatio-temporal datasets and to produce risk and prognostic maps. A key tool in this respect is to investigate the spatial and temporal distribution of wildfires and to understand their relationships with the surrounding environmental, climatological and socio-economic factors.
In this session, we aim to improve the understanding of the fire regime and to promote new strategies to mitigate the disastrous effects of wildfires. We welcome all the interesting and relevant oral and poster presentations we received, and we are glad to announce you two solicited authors’ work on fire management and on impacts of wildfires.  
We hope that our session attracts wildfire scientists, researchers of various geo-environmental disciplines, economists, managers, people responsible for territorial and urban planning, and policymakers. And that together we can contribute with knowledge in a world where regions are burning with epic breadth and intensity.

Convener: Joana ParenteECSECS | Co-conveners: Mário Pereira, Nikos Koutsias, Andrea Trucchia, Marj Tonini
Orals
| Tue, 25 Apr, 08:30–12:30 (CEST)
 
Room 1.31/32
Posters on site
| Attendance Tue, 25 Apr, 16:15–18:00 (CEST)
 
Hall X4
Posters virtual
| Tue, 25 Apr, 16:15–18:00 (CEST)
 
vHall NH
Orals |
Tue, 08:30
Tue, 16:15
Tue, 16:15
NH7.2

A global increase in the occurrence of extreme wildfire events urges the need to understand how fires respond to weather and climate variability at a spectrum of scales. In particular, 2022 European heatwaves triggered extreme wildfire conditions across the continent, setting off the alarms and raising questions about how devastating future fire seasons will be. Across many regions, future increases on current fire extremes will also bring significant ecological and societal impacts.

This session aims to bring together researchers from a range of disciplines to explore the changing meteorological and climatological dynamics of extreme wildfires along with their impacts on societies and ecosystems, spanning from atmospheric and fire turbulence to longer term climate interactions including future projections of climate change, and impacts of changing fire regimes such as on air quality, post-vegetation, or economic damage. This session welcomes observation and modelling research advancing our knowledge in weather and climate dynamics influencing extreme wildfire behaviour and their impacts, such as:

• Observational studies investigating impacts of weather processes on fire behaviour
• Numerical weather modelling studies for understanding weather processes influencing extreme fire behaviour
• Coupled numerical weather and fire spread modelling studies modulating fire behaviour across atmospheric scales
• Case studies of past wildfire events
• Global and regional modelling of present-day or future wildfire extremes and their impacts.
• Advances in fire behaviour modelling and prediction

Co-organized by AS1
Convener: Marwan Katurji | Co-conveners: Olivia Haas, Matthew Kasoar, Theo Keeping, Andres ValenicaECSECS, Dongqi Lin
Orals
| Tue, 25 Apr, 14:00–15:40 (CEST)
 
Room 1.31/32
Posters on site
| Attendance Tue, 25 Apr, 16:15–18:00 (CEST)
 
Hall X4
Posters virtual
| Tue, 25 Apr, 16:15–18:00 (CEST)
 
vHall NH
Orals |
Tue, 14:00
Tue, 16:15
Tue, 16:15
BG1.2 EDI

Fire is an essential feature of many ecosystems and an important component of the Earth system. Climate, vegetation, and human activity regulate fire occurrence and spread, but fires also feedback to them in multiple ways, resulting in changing fire regimes in many regions of the world. This session welcomes contributions that explore the role of fire in the Earth system at any temporal and spatial scale using modeling, field and laboratory observations, proxy-records including tree fire scars, sedimentary charcoal cores, ice cores, speleothems, and/or remote sensing. We encourage abstracts that advance our understanding on (1) fire related emissions (e.g. emission factors, emission height, smoke transport), (2) spatial and temporal changes of fire regimes in the past, present, and future, (3) fire products and models, and their validation, error/bias assessment and correction, (4) analytical tools designed to enhance situational awareness among fire practitioners and early warning systems. We are also welcoming submissions on fire related changes (5) in weather, climate, as well as atmospheric chemistry and circulation, (6) vegetation composition and structure, (7) cryosphere (e.g. permafrost, sea ice), (2) biogeochemical cycling of carbon, nitrogen and trace elements, (8) soil functioning and soil organic matter dynamics, as well as (9) effects of fires on humans (e.g., impact of fire on air and water quality, freshwater resources, human health, land use and land cover change, fire management).

Early career researchers and underrepresented groups in the field are strongly encouraged to apply.

Co-organized by AS4/CL1.2/NH7
Convener: Gabriel SigmundECSECS | Co-conveners: Micheline Campbell, Rebecca ScholtenECSECS, Liza McDonoughECSECS, Renata Libonati, Fang Li, Angelica Feurdean
Orals
| Mon, 24 Apr, 08:30–12:25 (CEST), 14:00–15:40 (CEST)
 
Room C
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 BG
Orals |
Mon, 08:30
Tue, 14:00
Tue, 14:00
GMPV8.7 EDI

After over 800 years of quiescence, the Fagradalsfjall eruptions in 2021 and 2022 may mark the onset of a new cycle of volcanism and unrest across the Reykjanes Peninsula in SW-Iceland. The eruptions followed periods of intense seismicity and deformation triggered by the injection of feeder dikes. The compositions of the erupted lava, melt inclusions, and gas emissions suggested pre-eruption storage from near-moho depths. Over the course of the eruption, the lava composition displayed significant compositional change over time that suggested the rapid mixing of melt batches of different source depth and affinity. Variably pulsating effusion and degassing behavior challenges the traditional views of volcanic plumbing systems. The eruptions were, and still are, popular tourist attractions, posing challenges to safe crowd management in active volcanic areas. Now we ponder: what's next?

We welcome submissions on volcanic systems of the Reykjanes Peninsula; their plumbling systems, eruptive products, and impacts. We particularly encourage comparative studies across different regions and disciplines.

Topics may include, for example: physical volcanology of eruptive products and eruptive behavior; lava flow modeling; acoustic studies; petrology; geochemistry and interaction with groundwater; studies of volcanic gases; crustal deformation; seismology; volcano monitoring; social effects; health effects; hazard mitigation; tectonic implications; volcano-tectonic interactions; atmosphere-climate interactions, etc.

Co-organized by EOS1/NH7/SM6/TS10
Convener: Halldór Geirsson | Co-conveners: Kristín Jónsdóttir, Edward W. Marshall, Sara Barsotti, Sigríður María Aðalsteinsdóttir
Orals
| Fri, 28 Apr, 14:00–15:45 (CEST)
 
Room 0.14
Posters on site
| Attendance Fri, 28 Apr, 10:45–12:30 (CEST)
 
Hall X2
Posters virtual
| Fri, 28 Apr, 10:45–12:30 (CEST)
 
vHall GMPV/G/GD/SM
Orals |
Fri, 14:00
Fri, 10:45
Fri, 10:45
SSS9.11 EDI

Wildfires are a worldwide phenomenon with many environmental, social, and economic implications, which are expected to escalate as a consequence of climate change and land abandonment, management, and planning, further promoting land degradation and decreasing ecosystem services supply.
The current situation demands from the scientific community the study of wildfire effects on the ecosystems and the development of integrated tools for pre- and post-fire land management practices that reduce the vulnerability to wildfires and their impacts. However, this research urges the attention not only from researchers, but also from stakeholders and policy-makers all over the world, since basic resources such as raw materials, water, and soils as well as habitats are at stake.
This session aims at gathering researchers on the effects of wildfires on ecosystems, from wildfire prevention to post-fire mitigation. We kindly invite laboratory, field, and/or modelling studies involving the following topics:
i. prescribed and/or experimental fires;
ii. fire severity and burn severity;
iii. fire effects on vegetation, soil and water;
iv. post-fire hydrological and erosive response;
v. post-fire management and mitigation;
vi. socio-economic studies on pre- and post-fire land management;
vii. fire risk assessment and modelling.

Co-organized by GM4/NH7
Convener: Antonio Girona-GarcíaECSECS | Co-conveners: Diana VieiraECSECS, Paulo Pereira, Marta BassoECSECS, Ana Rita LopesECSECS
Orals
| Fri, 28 Apr, 16:15–18:00 (CEST)
 
Room K2
Posters on site
| Attendance Fri, 28 Apr, 10:45–12:30 (CEST)
 
Hall X3
Posters virtual
| Fri, 28 Apr, 10:45–12:30 (CEST)
 
vHall SSS
Orals |
Fri, 16:15
Fri, 10:45
Fri, 10:45

NH8 – Environmental, Biological & Natech Hazards

Programme group scientific officer: Jasmine Rita Petriglieri

NH8.1 EDI

The International Monitoring System (IMS) of the Comprehensive Nuclear-Test-Ban Treaty (CTBT) monitors the solid Earth, the oceans and the atmosphere with a global network of seismic, infrasound, and hydroacoustic sensors as well as detectors for atmospheric radioactivity. The primary purpose of the acquisition and analysis of IMS data is for nuclear explosion monitoring regarding all aspects of detecting, locating and characterizing nuclear explosions and their radioactivity releases. On-site verification technologies apply similar methods on smaller scales as well as geophysical methods such as ground penetrating radar and geomagnetic surveying with the goal of identifying evidence for a nuclear explosion close to ground zero.

Convener: Martin Kalinowski | Co-conveners: Yan Jia, Christoph Pilger, Gérard Rambolamanana, Ole Ross
Orals
| Thu, 27 Apr, 16:15–18:00 (CEST)
 
Room 1.34
Posters on site
| Attendance Thu, 27 Apr, 14:00–15:45 (CEST)
 
Hall X4
Posters virtual
| Thu, 27 Apr, 14:00–15:45 (CEST)
 
vHall NH
Orals |
Thu, 16:15
Thu, 14:00
Thu, 14:00
NH8.2 EDI

Natural radioactivity fully affects our environment due to cosmic radiation from space, the interaction between the cosmic radiation and the atmosphere (e.g. 14C, 7Be, 3H) and the terrestrial source from soil and minerals in rocks linked to and the alpha decay processes of the principal primordial radionuclides (e.g. 238U, 232Th, 40K). Among the terrestrial sources, radon (222Rn) gas is considered the major source of ionizing radiations exposure to the population and an indoor air pollutant due to its harmful effects on human health (cancerogenic, W.H.O.).
In particular, the Geogenic Radon (GR) exerts the main control on Indoor Radon Concentrations (IRC), as a consequence, the identification of areas characterized by enhanced Geogenic Radon is critical in hazard assessment. For this reason, the studies of radon transport and migration mechanisms are used in various fields of the geosciences, (e.g. air, soil, water and indoor measurements) and represents a powerful investigation tool as concerns the radiation protection. In fact, radon migration and transport in-soil and the surface emission are controlled by geogenic and tectonic sources; radon migration along permeable pathways (e.g. seismically active and not-active faults, fractured zones) may enhance the Rn content at surface modifying the shallow distribution of the geogenic activities. In contrast, the indoor radon concentrations at surface are defined by other anthropogenic and meteorological factors (e.g. permeability, buildings and architectural features, ventilation, occupation patterns).
This session aims, into details, to improve the knowledge of radon concentration and migration mechanisms in the different geological compartments (e.g. minerals, rocks, soil, water) with the further implications in the IRC to assess health hazard from radon exposure, including: (i) the study of the different GR sources and components; (ii) the Geogenic Radon Potential (GRP) mapping; (iii) the identification of the Radon Priority Areas (RPA); (iv) the radon health hazard assessment (EURATOM 59/2013); (v) groundwater contamination; (vi) volcanic and active system monitoring and surveillance; (vii) atmospheric tracing, including of greenhouse gases and pollutants.
Contributions on novel methods and instrumentation for environmental radioactivity monitoring are also encouraged.

Convener: Alessandra Sciarra | Co-conveners: Eleonora BenàECSECS, Livio Ruggiero, Eric PetermannECSECS
Orals
| Fri, 28 Apr, 08:30–10:05 (CEST)
 
Room 1.34
Posters on site
| Attendance Fri, 28 Apr, 10:45–12:30 (CEST)
 
Hall X4
Posters virtual
| Fri, 28 Apr, 10:45–12:30 (CEST)
 
vHall NH
Orals |
Fri, 08:30
Fri, 10:45
Fri, 10:45
NH8.3 EDI | PICO

Exposure to silica, asbestos, and other mineral dusts is responsible for 25% of all occupational lung diseases (WHO study, 2017). New occupational and environmental strategies that promote awareness of the social and health impacts of hazardous minerals are highly required. Re-emergence of lung diseases associated with unexpected sources and non-conventional exposure scenarios require an up-to-date risk assessment, monitoring, and mitigation strategies. The development of environmental exposome(s), the new frontier for assessing the effects of multiple exposures to toxicants, requires, for inorganic particles and fibers, an integrated strategy for bridging minero-chemical properties to hazard assessment.
Dealing with mineralogy, geology, chemistry, and epidemiology, this session welcomes novel and outstanding contributions and case studies on the following aspects:
- particle and fibre mineralogical definition, including regulatory aspects;
- particle and fibre risk assessment, migration, transport, and fate in natural environments including air, water, and soil/rock, and in occupational settings;
- physico-chemical assessment of particle and fibre characteristics relevant to interactions with biological milieu, and mechanisms of toxicity;
- development of novel approaches for the determination of inorganic particle and fibre occurrences, risk management, air sampling procedures for outdoor/indoor environments, protection strategies for workers, environment, and population at large;
- all other studies on environmental, occupational, and non-conventional exposures to inorganic dust, including asbestos, silica, silicates, volcanic ashes, celestial dusts, dusts from construction sites, and more in general composite dust.

Convener: Francesco Turci | Co-conveners: Cristina PavanECSECS, Sarah Kalika, Ana López LilaoECSECS, Luca Barale
PICO
| Fri, 28 Apr, 10:45–12:30 (CEST)
 
PICO spot 2
Fri, 10:45
GI2.2 EDI

The session gathers multi-disciplinary geoscientific aspects such as dynamics, reactions, and environmental/health consequences of radioactive materials that are massively released accidentally (e.g., Chernobyl and Fukushima nuclear power plant accidents, wide fires, etc.), future potential risk of leakage (e.g., Zaporizhzhia nuclear power plant) and by other human activities (e.g., nuclear tests).

The radioactive materials are known as polluting materials that are hazardous for human society, but are also ideal markers in understanding dynamics and physical/chemical/biological reactions chains in the environment. Therefore, man-made radioactive contamination involves regional and global transport and local reactions of radioactive materials through atmosphere, soil and water system, ocean, and organic and ecosystem, and its relations with human and non-human biota. The topic also involves hazard prediction, risk assessment, nowcast, and countermeasures, , which is now urgent important for the nuclear power plants in Ukraine.

By combining long monitoring data (> halftime of Cesium 137 after the Chernobyl Accident in 1986, 12 years after the Fukushima Accident in 2011, and other events), we can improve our knowledgebase on the environmental behavior of radioactive materials and its environmental/biological impact. This should lead to improved monitoring systems in the future including emergency response systems, acute sampling/measurement methodology, and remediation schemes for any future nuclear accidents.

The following specific topics have traditionally been discussed:
(a) Atmospheric Science (emissions, transport, deposition, pollution);
(b) Hydrology (transport in surface and ground water system, soil-water interactions);
(c) Oceanology (transport, bio-system interaction);
(d) Soil System (transport, chemical interaction, transfer to organic system);
(e) Forestry;
(f) Natural Hazards (warning systems, health risk assessments, geophysical variability);
(g) Measurement Techniques (instrumentation, multipoint data measurements);
(h) Ecosystems (migration/decay of radionuclides).

The session consists of updated observations, new theoretical developments including simulations, and improved methods or tools which could improve observation and prediction capabilities during eventual future nuclear emergencies. New evaluations of existing tools, past nuclear contamination events and other data sets also welcome.

Co-organized by BG8/ERE1/ESSI1/GM11/NH8/OS2
Convener: Daisuke Tsumune | Co-conveners: Hikaru SatoECSECS, Liudmila KolmykovaECSECS, Masatoshi Yamauchi
Orals
| Wed, 26 Apr, 16:15–18:00 (CEST)
 
Room G2
Posters on site
| Attendance Wed, 26 Apr, 10:45–12:30 (CEST)
 
Hall X4
Posters virtual
| Wed, 26 Apr, 10:45–12:30 (CEST)
 
vHall ESSI/GI/NP
Orals |
Wed, 16:15
Wed, 10:45
Wed, 10:45
GI6.5

Radioactivity is ubiquitous in the environment a result of i) cosmic radiation from space and secondary radiation from the interaction of cosmic rays with the atmosphere, ii) terrestrial sources from soils and rocks and particularly Potassium, Uranium and Thorium and their decay products among which Radon gas stands out. Artificial radionuclides from nuclear and radiation accidents and incidents provide an additional contribution to the environmental radioactivity.
Nuclear techniques enable the measurement of radioactivity in air, soils and water making it a particularly appealing tool for tracing time-varying environmental phenomena.
The session deals with the measurement and the exploitation of environmental radioactivity in all areas of geosciences including geological surveys, mineral and space resources exploration, atmosphere and groundwater monitoring. Studies about the use of fallout radionuclides as environmental tracers and the relevance of the radioactivity for public health, including the contamination from Naturally Occurring Radioactive Materials (NORM), are welcome. We solicit contributions about novel methods and instrumentation including portable detectors, airborne and drones surveys and geostatistical methods for radioactivity mapping.

Co-organized by NH8
Convener: Virginia StratiECSECS | Co-conveners: Susana Barbosa, Xuemeng ChenECSECS, Anita Erőss, Nesrine MezerregECSECS
Orals
| Fri, 28 Apr, 14:00–15:40 (CEST)
 
Room -2.91
Posters on site
| Attendance Fri, 28 Apr, 10:45–12:30 (CEST)
 
Hall X4
Posters virtual
| Fri, 28 Apr, 10:45–12:30 (CEST)
 
vHall ESSI/GI/NP
Orals |
Fri, 14:00
Fri, 10:45
Fri, 10:45
ERE1.12 EDI

Post-mining issues, such as the coal fire, the underground water, the risk of slope-sliding and subsidence of surface induced by mining, the consequences of risk to local eco-environment and safety-health concerns for human beings, and the utilization of resources (including underground space, surface land, underground water energy, industrial touring sites, etc.) from closed mines, have become the focusing research topics which have significance for the green sustainable mining of coal over the world.
Concerning the post-mining issues, the coal fire and the underground water are the major two issues need to be studied thoroughly, especially in fragile ecological regions. Efficient control and utilization of post-mining issues and the corresponding resources from them will largely reduce their impacts on local environment and society community.
This session mainly focuses on issues of the coal fire, the underground water, and the utilization of resources from closed mines. Scopes for this session were listed as follow, but not limited to these.
1)Mechanism of occurrence and propagation of coal fire.
2)Detecting, monitoring and early warning of coal fire.
3)Efficient materials and technologies against coal fire.
4)Eco-environmental impacts induced by coal fire.
5)Health risk to human beings from coal fire.
6)Utilization of energy from coal fire and underground water.
7)Safety risk from closed mines.
8)Utilization of resources from closed mines.
9)Restoration and remediation at post-mining sites.
10)Others.

Co-organized by NH8
Convener: Qiang Zeng | Co-conveners: Devi Prasad Mishra, Robert Finkelman, Zhao JingyuECSECS
Orals
| Fri, 28 Apr, 14:00–15:45 (CEST)
 
Room -2.16
Posters on site
| Attendance Fri, 28 Apr, 08:30–10:15 (CEST)
 
Hall X4
Posters virtual
| Fri, 28 Apr, 08:30–10:15 (CEST)
 
vHall ERE
Orals |
Fri, 14:00
Fri, 08:30
Fri, 08:30
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 CristianoECSECS | 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

NH9 – Natural Hazards & Society

Programme group scientific officer: Nivedita Sairam

NH9.1 EDI

The purpose of this session is to: (1) showcase the current state-of-the-art in global and continental scale natural hazard risk science, assessment, and application; (2) foster broader exchange of knowledge, datasets, methods, models, and good practice between scientists and practitioners working on different natural hazards and across disciplines globally; and (3) collaboratively identify future research avenues.
Reducing natural hazard risk is high on the global political agenda. For example, it is at the heart of the Sendai Framework for Disaster Risk Reduction and the Paris Agreement. In response, the last decade has seen an explosion in the number of scientific datasets, methods, and models for assessing risk at the global and continental scale. More and more, these datasets, methods and models are being applied together with stakeholders in the decision decision-making process.
We invite contributions related to all aspects of natural hazard risk assessment at the continental to global scale, including contributions focusing on single hazards, multiple hazards, or a combination or cascade of hazards. We also encourage contributions examining the use of scientific methods in practice, and the appropriate use of continental to global risk assessment data in efforts to reduce risks. Furthermore, we encourage contributions focusing on globally applicable methods, such as novel methods for using globally available datasets and models to force more local models or inform more local risk assessment.

Co-organized by GM6
Convener: Philip Ward | Co-conveners: Hessel Winsemius, Melanie J. Duncan, James Daniell, Susanna Jenkins
Orals
| Fri, 28 Apr, 14:00–15:45 (CEST), 16:15–18:00 (CEST)
 
Room 1.31/32
Posters on site
| Attendance Fri, 28 Apr, 08:30–10:15 (CEST)
 
Hall X4
Orals |
Fri, 14:00
Fri, 08:30
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 MårdECSECS | 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
NH9.3 EDI

Disasters caused by natural hazards often lead to significant and long-lasting disruptions of economic, social and ecological systems. To improve both ex-ante disaster risk reduction and ex-post recovery, increasing attention is placed on strengthening the “disaster resilience” of communities, cities, regions and countries. However, a lack of empirical data and evidence, a high diversity in assessment and measurement approaches as well as various definitions of disaster resilience make it difficult to establish a solid understanding of what contributes to disaster resilience and how it can be measured. This hinders targeted resilience strengthening investments and actions across all levels, that are increasingly demanded in the context of climate change adaptation and sustainable development.
This session aims to discuss concepts and frameworks that improve the understanding of economic, social and ecological resilience to various natural hazards (e.g. floods, droughts, wildfires) including compound events as well as to review current frameworks and tools that aim to measure disaster resilience. We invite submissions addressing process- and outcome-based approaches to assess or measure disaster resilience, as well as studies using remote sensing, climate information or other innovative approaches such as predictive models aiming to quantify disaster resilience. The session also specifically addresses whether and how recovery processes allow for risk reduction and resilience building. Ex-post resilience building is not only highly relevant for developing countries, like Pakistan but also for developed countries, like Germany or Belgium who currently in the recovery phase after catastrophic flood events. Concrete strategies, measures and planning processes are going to be examined as well as the role of different institutions.

We especially welcome presentations looking at cross-learnings and links between natural hazard resilience and public health as a result of the Covid-19 pandemic. Studies could include operationalized and applied resilience assessment frameworks, case studies using new data sets to measure resilience as well new tools and approaches to engage with decision makers, practitioners and the general public. We also welcome submissions from governments at all levels, the development and humanitarian sector as well as practitioners that effectively work for the hazard affected communities both from the developed and developing world.

Convener: Viktor RözerECSECS | Co-conveners: Holger Schüttrumpf, Jörn Birkmann, Robert Sakic Trogrlic, Denyse S. DookieECSECS, Michael Szoenyi
Orals
| Mon, 24 Apr, 08:30–12:15 (CEST), 14:00–15:40 (CEST)
 
Room 1.31/32
Posters on site
| Attendance Mon, 24 Apr, 16:15–18:00 (CEST)
 
Hall X4
Posters virtual
| Mon, 24 Apr, 16:15–18:00 (CEST)
 
vHall NH
Orals |
Mon, 08:30
Mon, 16:15
Mon, 16:15
NH9.4 EDI

Assessing the costs of the overall economic impacts, the costs of prevention and the costs of responses and measures to foster resilience to natural hazards supplies crucial information for decision-making practices in the fields of risk management and climate change adaptation. However, the lack of empirical impact data as well as the significant diversity in methods that are currently applied in costs assessments of different natural hazards and impacted systems make it difficult to establish comprehensive, robust and reliable cost figures. This also hinders comparisons of associated costs across countries, hazards and impacted sectors.
This session aims to highlight the challenges and advances on costs of various natural hazards (e.g. floods, droughts, earthquakes) around three main themes: post-event data collection, assessment methods and economic evaluation of natural risk management policies. The session will cover methodological and empirical aspects for the data collection and assessment of the various cost types (direct damage, indirect damage, health impacts, risk reduction costs as well as environmental). In particular, it may be interesting to discuss methods that take into account the dynamics of processes related to vulnerability and resilience. Also, we are interested in contributions that focus on the economic appraisal (e.g. Cost-Benefit Analysis) of risk reduction to natural hazards, risk transfers and adaptation to increasing weather risks that are due to climate change. Presentations are welcome for instance on model development, validation, uncertainty analysis, risk assessment frameworks as well as presentations about the application of damage models in case studies. Abstracts are sought from those involved in both the theoretical and practical aspects related to these topics.

Convener: Pauline Bremond | Co-conveners: Veit BlauhutECSECS, Frédéric Grelot, Viktor RözerECSECS, Lukas SchoppaECSECS
Orals
| Thu, 27 Apr, 08:30–10:15 (CEST)
 
Room 1.34
Posters on site
| Attendance Thu, 27 Apr, 14:00–15:45 (CEST)
 
Hall X4
Posters virtual
| Thu, 27 Apr, 14:00–15:45 (CEST)
 
vHall NH
Orals |
Thu, 08:30
Thu, 14:00
Thu, 14:00
NH9.5 EDI

The UN projects that the urban population will increase from 55% to 68% by 2050. The largest increase is projected to occur in low- and lower-middle-income countries. This trend will expand urban areas from coastal and mountainous terrain to flood plains and steeper hillslopes. This expansion will increase the population's exposure to natural hazards, especially landslides and floods. Rapid urbanisation also fosters the development of informal settlements in peri-urban areas. This type of housing is structurally more vulnerable to earthquakes or volcanic hazards. Additionally, informal urbanisation could also aggravate some natural hazards such as landslides by, for instance, poorly managing rainwater.
This session is dedicated to contributing national, regional, and local perspectives about urban expansion's interaction with natural hazards. We intend to bring together experts from science and practice to offer a discussion platform to increase awareness of this problem and provide possible solutions. We seek to discuss the following questions and several others during the session:

- Are there changes in natural hazard frequency due to urbanisation?
- Does informal settlement alter natural hazard susceptibility?
- What is the impact of natural hazards given the population concentration in specific regions?
- What is the role of climate change in natural hazards in urban spaces?

Convener: Ugur Ozturk | Co-conveners: Roopam Shukla, Elisa BozzolanECSECS, Caroline Michellier, Viktor RözerECSECS, Ankit Agarwal, Olivier Dewitte
Orals
| Tue, 25 Apr, 16:15–18:00 (CEST)
 
Room 1.31/32
Posters on site
| Attendance Tue, 25 Apr, 10:45–12:30 (CEST)
 
Hall X4
Posters virtual
| Tue, 25 Apr, 10:45–12:30 (CEST)
 
vHall NH
Orals |
Tue, 16:15
Tue, 10:45
Tue, 10:45
NH9.7 EDI

Extreme weather events and disasters are putting more people at risk due to changes in climate, environmental and socioeconomic conditions. In today’s intricate socio-technological world, the interdependencies between exposed elements and human health and social vulnerability are crucial. With various weather systems affecting different parts of the world, local feedbacks enhancing or suppressing the hazards, differential rates of climate change, and varying levels of societal preparedness to hazards, understanding systemic impact relationships requires the assessment of direct tangible but also indirect and intangible dimensions of risk.

Quantifying and understanding the risk of these hazards and their impacts on health and the dynamics of social vulnerability is essential for society to adapt to current and future change. These complex relationships call for a paradigm shift in impact and risk assessment of extreme events towards focusing on a wider perspective of risk including indirect and intangible impacts. Addressing these aims will help improve our understanding of the interplay between hazards and impacts on health and society. Furthermore, addressing these multi-disciplinary research aims requires insight into spatial and temporal changes in the dynamics of social vulnerability (e.g., socioeconomic and demographic characteristics) in the pretext of cascading or compound impacts, which is often lacking in conventional risk assessments.

This section invites contributions that address this complex context with a special focus on:
- assessing direct and indirect impacts that are induced by any kind of natural hazard, both acute and slow-onset or by a combination of concurrent/cascading hazard
- intangible impacts beyond the 'standard' direct monetizable losses (e.g., disruption of critical services and supply, business interruption, loss of irreplaceable items or ecosystem services)
- exploring novel methods for mapping temporal and spatial social vulnerability (machine learning, spatial disaggregation techniques) and analyze temporal and spatial dynamics in social vulnerability (both observed changes and future changes)
- impacts on physical and mental health and (future) health impacts of long-term exposure to climatic stressors and adaptation to prevent adverse health outcomes
- impacts on specific population groups (e.g., socially vulnerable groups) and on health care systems

Convener: Marcello ArosioECSECS | Co-conveners: Eunice Lo, Timothy TiggelovenECSECS, Samuel LüthiECSECS, Lena ReimannECSECS, Ana Maria Vicedo Cabrera, Chiara ArrighiECSECS
Orals
| Fri, 28 Apr, 08:30–12:20 (CEST)
 
Room 1.31/32
Posters on site
| Attendance Fri, 28 Apr, 14:00–15:45 (CEST)
 
Hall X4
Orals |
Fri, 08:30
Fri, 14:00
NH9.9 | PICO

There are multiple environmental pathways that impact human, animal, and plant health. Increasing climatic variability, including extreme weather events, coupled with human-environmental interactions leads to increased risks of disease outbreaks including vector- (e.g. Zika, Dengue, Chikungunya, Malaria, Rift Valley Fever), water- (e.g. Cholera, Dysentery, Typhoid) and air-borne (e.g. Coronavirus, Influenza) diseases. These phenomena have a spatiotemporal distribution driven by the interactions of climate and environmental variables (e.g. precipitation, specific humidity, runoff, vegetation indices) with that of the vectors and hosts of each individual disease. This session is seeking research that advances the state-of-the-art in disease early warning. This can range from developing the system for which these disease models can reside to advancing the science behind individual routes of transmission using climatic, weather, and remote sensing data products.

Co-organized by CL3.2/ESSI4/GI4
Convener: Moiz UsmaniECSECS | Co-conveners: Anthony Nguy-Robertson, Cristiano TrevisinECSECS
PICO
| Mon, 24 Apr, 08:30–10:15 (CEST)
 
PICO spot 3b
Mon, 08:30
NH9.10 EDI

The session welcomes papers dealing with disaster impact on architecture, landscape, urban and cross-border areas, territory, natural (protected) areas and infrastructure, including but not limited to:
- Digital photographic or 3D models reflecting pre-disaster state of affected areas, for example before and after disaster, before and after reconstruction surveys
- Decision methods to balance between the (landscape)architecture/artistic/historic value and vulnerability in order to select appropriate preventive retrofit or post-disaster repair methods
- Ways to consider regional characteristics when selecting the prevention measures or when rebuilding after disaster
- Local culture in vernacular architecture based on historic disaster experience
- Illustration of historic disasters in image and photography
- Post-disaster planning interventions (restructuring/reconstruction/reconfiguration/revitalization/ renaturation/restoration, etc.), which led to the positive/negative transformation of a landscape, an urban area or an architectural (heritage) construction
- Mapping techniques of landmarks perception for consideration in reconstruction after disaster
- Cultural Landscape elements associated genius loci - the memory of a place/architectural construction/urban area/landscape/territory, that went through a disaster or that developed as a result of post-disaster planning operations
- Nature based solutions for disaster resilience, including climate change effects
- Urban wildland interface for the forest and natural protected areas in the city, urban water interface by adapting in practice the solutions based on resilient planning in relevant cases
- Ecosystem-based fire risk reduction and adaptation in practice
- Solutions to minimize risk in areas with major infrastructure and utility networks, through design and urban planning
- Impact assessment on infrastructure systems with a particular interest in flooding on transportation network.
- Any other related topics.

Public information:

Special issue in Natural Hazards and Earth System Sciences open for submission

https://www.natural-hazards-and-earth-system-sciences.net/articles_and_preprints/scheduled_sis.html#1252

Convener: Maria Bostenaru Dan | Co-conveners: Adrian IbricECSECS, Margherita D AyalaECSECS, Orsolya Kegyes-Brassai, Mara PopescuECSECS
Orals
| Thu, 27 Apr, 14:00–15:45 (CEST)
 
Room 1.34
Posters on site
| Attendance Thu, 27 Apr, 08:30–10:15 (CEST)
 
Hall X4
Posters virtual
| Thu, 27 Apr, 08:30–10:15 (CEST)
 
vHall NH
Orals |
Thu, 14:00
Thu, 08:30
Thu, 08:30
NH9.11 EDI

Already today, many coastal cities face high economic and non-economic losses from disasters and creeping environmental changes. However, risks in coastal cities are expected to rise even further, fuelled by the interplay of climate change and continued coastal urbanization. The question of how to adapt cities to the hazards of the future is therefore of great concern – not only for scientists, but also for policy makers and risk practitioners. The relevance of this question even increases when considering the central role of coastal cities in economies and societies at the global scale, for instance, in terms of trade, transport, and culture.

A number of important scientific knowledge gaps persist with regards to risk assessment and adaptation analysis in coastal cities. While the assessment of future risk trends in these cities is predominantly focused on scenarios of future hazards (sea level rise, floods, typhoons, etc.), scenarios of socio-economic changes and hence future trends in exposure and vulnerability are typically not part of the picture. This lack is significant and leads to potentially flawed and imprecise assessments of future risk trends and eventually adaptation needs. Secondly, knowledge on the feasibility of different – often competing – adaptation options remains thin. It is too often based on a reductionist set of evaluation criteria, e.g. economic costs and benefits, and a view towards singular adaptation measures. Integrative and comparative assessments that evaluate different adaptation options (e.g. retreat vs. flood accommodation) against a wider set of criteria such as social acceptance or political feasibility are still poorly developed. Thirdly, scientific engagement with coastal urban risk too often remains within siloes of different disciplines. This hampers interdisciplinary assessments and leads to significant blind spots, e.g. with respect to private sector adaptation or collective action for adaptation across different groups of actors.

We particularly invite theoretical, methodological, and empirical studies to better understand future risk in coastal cities and potential adaptation strategies. Both local case studies, regional- and global-level perspectives from multi- and trans-disciplinary studies are welcome. A particular focus will be on coastal cities with high growth dynamics and adaptation pressure, as can be observed in many transition economies of Asia and Africa.

Co-organized by CL3.2
Convener: Liang Emlyn YangECSECS | Co-conveners: Nivedita SairamECSECS, Matthias Garschagen, Volker Hochschild, Javier Revilla Diez
Orals
| Mon, 24 Apr, 16:15–18:00 (CEST)
 
Room 1.31/32
Posters on site
| Attendance Mon, 24 Apr, 14:00–15:45 (CEST)
 
Hall X4
Orals |
Mon, 16:15
Mon, 14:00
NH9.15 EDI

The adverse effects of droughts are felt all over the globe, especially in recent years. Droughts often lead to direct and cascading, interconnected impacts on different systems and sectors from local to global scales. The likelihood of such impacts, understood as drought risk, is caused by the combination of drought hazards, exposure and vulnerabilities of interdependent systems. To support the identification and planning of drought risk reduction and adaptation, information is needed on the root causes, patterns and dynamics of drought risk and its related impacts of the past. Even though the effects of drought are widespread and well known, research focusing on the different drought risk dimensions still lags behind other natural hazard research. While major progress has been made regarding the analysis of sectoral or system-specific drought risks over the past years, grasping the complexity of cascading, interconnected and systemic drought risks remains a challenge. This session addresses these gaps by focussing on conceptual and methodological advancements aimed at better understanding, assessing and ultimately managing cascading, interconnected and systemic drought risks . The session aims to gather examples from around the globe at different spatial and temporal scales, discussing best practices, existing gaps and challenges and potential ways forward. In doing so, the session aims to bring together scientists and practitioners to evaluate the current state-of-the-art, foster drought risk research, further establish a community of researchers and practitioners, and shape the future of drought vulnerability and risk research.

Convener: Veit BlauhutECSECS | Co-conveners: Lucia De Stefano, Michael Hagenlocher, Marthe Wens, Gustavo Naumann
Orals
| Fri, 28 Apr, 10:45–12:30 (CEST)
 
Room 1.34
Posters on site
| Attendance Fri, 28 Apr, 08:30–10:15 (CEST)
 
Hall X4
Orals |
Fri, 10:45
Fri, 08:30
NH9.16 EDI | PICO

Flash droughts, dry spells, and other extreme events that emerge and intensify rapidly are gaining increasing interest from hydrologists, climatologists, meteorologists, agronomists, and others. In contrast to how we traditionally think of droughts, flash droughts are not creeping events that develop over months or years. Flash droughts intensify rapidly and may endure from just a few days to weeks or months, or even evolve into multi-year events. Dry spells are often short-lived, have high spatial variability, and can be extremely damaging when they occur at critical crop growth stages.

Besides their rapid emergence, their timing, intensity, preceding conditions, and various locally significant vulnerabilities can aggravate their impacts, leading to disastrous scenarios of high plant mortality and crop losses, depletion of freshwater water resources, wildfires, degradation of air quality and ecosystem health, and even fatalities. Furthermore, due to the rapid intensification, rapid response is vital, which demands new monitoring strategies. Challenging to identify and driven by a complex combination of various physical processes, rapidly emerging dry/hot-extreme events are not yet well understood nor clearly defined, being also difficult to compare across different climates and ecosystems. Consequently, there are few practical solutions for risk management and stakeholders.

This session invites novel contributions on statistical, physically based, remote sensing-based, and qualitative methods for improving our physical understanding, monitoring, modelling, predicting, and assessment of environmental, social, and economic impacts of rapidly emerging dry/hot-extremes. Contributions that discuss and propose definitions for different types of rapidly emerging dry/hot-extremes, and investigate changes and trends on their frequency and intensity due to climate change are also invited. We encourage submissions from atmospheric sciences, hydrometeorology, hydrology, social sciences, and inter- and trans-disciplinary studies. Case studies, large-sample studies, statistical and time series analyses and machine-learning applications, socio-hydrology approaches, and citizen science experiences are welcome. Note that submissions that do not relate specifically to flash droughts, dry spells or other rapidly emerging droughts will be transferred into more relevant sessions. Submissions from early career researchers and diverse backgrounds are especially encouraged.

Convener: Pedro AlencarECSECS | Co-conveners: David W. WalkerECSECS, Noemi VergopolanECSECS, Mike Hobbins
PICO
| Tue, 25 Apr, 08:30–10:15 (CEST)
 
PICO spot 3b
Tue, 08:30
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 BritoECSECS | Co-conveners: Rui FigueiredoECSECS, Chiara ArrighiECSECS, Christian KlassertECSECS, Luis Sousa, Kai Schröter, David W. WalkerECSECS
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
NH9.19 EDI

Today, 55% of the global population lives in urban areas (75% in Europe). Therefore, urban systems, such as transportation, water, waste, or energy networks, are key to the life of billions of people. Yet, they are vulnerable to natural hazards, as shown recently with the disastrous consequences of the 2021 summer floods in Belgium and Germany. The sprawl of the urban networks and their deep interconnection increase the risk of propagation of the impacts. It is then necessary to develop sustainable planning for urban infrastructures, which takes into account the potential hazards and integrate all the stakeholders involved. Such risk-based planning enables urban systems to be more resilient, i.e. to adapt to future changes and risks.

The session aims at discussing how researchers, practitioners and professionals are planning the urban systems to respond to natural hazards and are setting up new risk management approaches to design more resilient and flexible cities. The session will enable exchanges on hazard, vulnerability and sustainability planning for urban systems in different countries.

We encourage abstracts on:
- Multi-hazard (flooding, heat wave, etc.) approach and crisis management planning.
- Vulnerability and resilience planning: methods, frameworks, tools designed to reduce risks in cities, urban catchments, etc.
- Resilience assessment for planning: modelling, indicators, databases built for assessment, etc.;
- Decision-making: implementation, operationalisation, simulation, risk mappings, etc.;
- Case studies: planning application, disaster feedback, vulnerability studies, etc.;
- Stakeholders (governments, NGOs, private organisations, citizens, etc.): roles and responsibilities in planning, coordination, etc.;
- Multidisciplinary works on conceptual elements but also tangible applications.

According to the contributions, we would like to propose a special issue in Natural Hazards and Earth System Sciences (NHESS).

Convener: Bruno Barroca | Co-conveners: Gaïa MarchesiniECSECS, Zhuyu Yang, Maria Fabrizia ClementeECSECS
Orals
| Wed, 26 Apr, 16:15–18:00 (CEST)
 
Room 1.34
Posters on site
| Attendance Wed, 26 Apr, 10:45–12:30 (CEST)
 
Hall X4
Posters virtual
| Wed, 26 Apr, 10:45–12:30 (CEST)
 
vHall NH
Orals |
Wed, 16:15
Wed, 10:45
Wed, 10:45
EOS4.1

Geoscience expertise is essential for the functioning of modern societies, to address many of the most urgent global problems, inform decision-making, and guide education at all levels, by equipping citizens to discuss, shape and implement solutions to local, regional and global social-environmental problems. In recent years, geoscientists have become more and more aware of ethical responsibilities to put their knowledge at the service of society, foster public trust in geosciences, and reflect on the environmental footprint of research practices. Geoethics aims to provide a common framework for orienting geoscientists’ concerns on delicate issues related geoscience-society interaction and to nourish a discussion on the fundamental principles and values which underpin appropriate behaviors and practices, wherever human activities interact with the Earth system.
The goal of the session is to foster the discussion on the following spectrum of topics:
- philosophical and historical aspects of geoscience, their contemporary relevance and role in informing methods for effective and ethical decision-making;
- geoscience professionalism and deontology, research integrity and issues related to harassment and discrimination, gender and disability in geosciences;
- ethical and social questions related to the management of land, air and water including environmental changes, pollution and their impacts;
- socio-environmentally sustainable supply of georesources (including energy, minerals and water), importance of effective regulation and policy-making, social acceptance, and understanding and promoting best practices;
- questioning professional practices in geosciences and their impact on the environment, and implementation of new practices to reduce it;
- resilience of society related to natural and anthropogenic hazards, risk management and mitigation strategies, including adaptation knowledge and solutions;
- ethical aspects of geoscience education and communication;
- culture and value of geodiversity, geoconservation, geoheritage, geoparks and geotourism;
- role of geosciences in achieving socio-economic development that respects cultures, traditions and local development paths, regardless of countries' wealth, and in promoting peace, responsible and sustainable development and intercultural exchange.
Session sponsored by International Association for Promoting Geoethics (www.geoethics.org).

Co-organized by BG8/CL3/ERE1/GM13/NH9/OS5, co-sponsored by IAPG
Convener: Silvia Peppoloni | Co-conveners: Antti-Ilari Partanen, Louise Mimeau, Giuseppe Di Capua
Orals
| Thu, 27 Apr, 08:30–12:30 (CEST), 14:00–15:45 (CEST)
 
Room 0.14
Posters on site
| Attendance Thu, 27 Apr, 16:15–18:00 (CEST)
 
Hall X2
Posters virtual
| Thu, 27 Apr, 16:15–18:00 (CEST)
 
vHall EOS
Orals |
Thu, 08:30
Thu, 16:15
Thu, 16:15

NH10 – Multi-Hazards

Programme group scientific officer: Marleen de Ruiter

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 RuiterECSECS | Co-conveners: Stefano TerziECSECS, Silvia De AngeliECSECS, Faith TaylorECSECS, 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
NH10.2 EDI

This session aims to share the latest developments in critical infrastructure risk modelling with a focus on multi-hazard, multi-risk, cascading events, and compound risks.

Critical infrastructure, such as the energy, water and waste systems, transportation networks, telecommunication systems, education, and health infrastructures - play an essential role in societies’ day-to-day functioning. At the same time, occurrences of natural hazards highlight the importance of improving our understanding on how these infrastructures respond under stress: a disruption of a single critical infrastructure service can quickly result in a cascading effect to households, companies, or other infrastructure systems, thereby causing wide-spread impacts to the economy and society.

Compound events and connected extremes put pressure on infrastructure systems beyond their design specifications, making it crucial to understand and incorporate such effects into infrastructure planning and risk assessments. In this session, we therefore encourage abstracts aimed at:
* Improving our understanding of exposure and vulnerability of critical infrastructure systems to (multiple) natural hazards.
* Collecting and analysing empirical data of past events/disruptions to inform, validate and improve risk modelling.
Impact (modelling) that is sensitive to the specificities of different hazards / sub-hazards / concurring multi-hazards (e.g. TC sub-hazards- flash floods bring very different impacts than strong winds, occur at different geographies, etc.)
* Impact modelling that captures network character and interdependencies of critical infrastructures, and modelling that doesn’t end at infrastructure asset damages: e.g. differentiated social impacts, business & supply chain disruptions.
* Dealing with the inherent uncertainty within infrastructure risk modelling and the applicability of these risk models for decision making and adaptation planning. More specifically, we welcome studies applying DMDU (Decision-making Under Deep Uncertainty) approaches to infrastructure risk modelling.
* Progressing the achievement of global goals (e.g. SDGs) in the context of resilient infrastructure and the advancement of accessible infrastructure to the global population.

Convener: Elco Koks | Co-conveners: Evelyn MühlhoferECSECS, Jasper VerschuurECSECS, Sadhana NirandjanECSECS, Kees van GinkelECSECS
Posters on site
| Attendance Thu, 27 Apr, 08:30–10:15 (CEST)
 
Hall X4
Thu, 08:30
CR6.1 EDI

The global cryosphere with all its components is strongly impacted by climate change and has been undergoing significant changes over the past decades. Glaciers are shrinking and thinning. Snow cover and duration is reduced, and permafrost, in both Arctic and mountain environments, is thawing. Changes in sea ice cover and characteristics have attracted widespread attention, and changes in ice sheets are monitored with care and concern. Risks associated with one or several of these cryosphere components have been present throughout history. However, with ongoing climate change, we expect changes in the magnitude and frequency of hazards with profound implications for risks, especially when these interact with other aspects relating to context vulnerability, exposure, and other processes of biophysical and/or socioeconomic drivers of change. New or growing glacier lakes pose a threat to downstream communities through the potential for sudden drainage. Thawing permafrost can destabilize mountain slopes, and eventually result in large landslide or destructive rock and ice avalanches. An accelerated rate of permafrost degradation in low-land areas poses risk to existing and planned infrastructure and raises concerns about large-scale emission of greenhouse gases currently trapped in Arctic permafrost. Decreased summertime sea ice extent may produce both risks and opportunities in terms of large-scale climate feedbacks and alterations, coastal vulnerability, and new access to transport routes and natural resources. Furthermore, rapid acceleration of outlet glacier ice discharge and collapse of ice sheets is of major concern for sea level change. This session invites contributions across all cryosphere components that address risks associated with observed or projected physical processes. Contributions considering more than one cryosphere component (e.g. glaciers and permafrost) are particularly encouraged, as well as contributions on cascading processes and interconnected risks. Contributions can consider hazards and risks related to changes in the past, present or future. Furthermore, Contributions may consider one or several components of risks (i.e. natural hazards, exposure, vulnerability) as long as conceptual clarity is ensured. Furthermore, cases that explore diverse experiences with inter- and transdisciplinary research, that sought to address these risks with communities through adaptation and resilience building, are also be considered.

Co-organized by CL3.2/GM7/NH10, co-sponsored by IACS and IPA
Convener: Christian Huggel | Co-conveners: Michael Krautblatter, Miriam Jackson, Matthew WestobyECSECS
Orals
| Thu, 27 Apr, 16:15–18:00 (CEST)
 
Room L3
Posters on site
| Attendance Thu, 27 Apr, 14:00–15:45 (CEST)
 
Hall X5
Posters virtual
| Thu, 27 Apr, 14:00–15:45 (CEST)
 
vHall CR/OS
Orals |
Thu, 16:15
Thu, 14:00
Thu, 14:00
ITS4.2/BG1.12 EDI

The use of geological evidence may help the judicial system to solve cases of homicides, corpse concealments, hit-and-run accidents, kidnappings, sexual assaults, geohazard problematics, environmental damages, animal maltreatment, wildlife crimes, gemstone and fossil frauds. Forensic geologists may be supported by a team of experts during the scientific investigation.
Earth and Natural Sciences may be simultaneously involved in a holistic approach for analyzing inorganic, anthropogenic, and organic materials found on the outdoor crime scenes. These sciences may also be devoted to environmental issues due to the human-environmental interactions responsible for crucial human-driven changes in the Anthropocene and hazards in which biodiversity, climate, and public health and safety are at stake.
Different analytical methods aim to obtain information on the compatibility degree among unknown and known samples and the possible provenance.
Based on the above, different experts may collaborate with geologists and investigate geological evidence and environmental issues, together in research teams. Geologists approaching forensic geology need to master sedimentology, micropaleontology, physical geology, petrography, gemology, geochemistry, hydrogeology, soil sciences, geomorphology, stratigraphy, regional geology, remote sensing, and applied geology and geophysics. Botanists address their investigation in forensic botany by studying plant ecology, vegetal anatomy, systematics, palynology, algology, and plant DNA in soil/sediment. On the other hand, entomologists approach forensic entomology by studying chemistry, biology, human/animal health, molecular science, and animal DNA in soil/sediment.
We encourage submission of studies presenting new insights derived from different inter-disciplinary- and transdisciplinary perspectives, including earth, natural, and environmental sciences (geology, geophysics, geochemistry, ecology, geological medicine, botany, entomology, ecology, and climatology applied to the Anthropocene Epoch), legal medicine, geological medicine. Particular attention will be given to the following topics: comparative analyses; reconstruction of walking in crime scenes; search for clandestine graves; geographical profiling; gemstone frauds; pollutants in groundwaters and soil matrices and environmental forensics; ecological and human health risks.

Co-organized by NH10
Convener: Roberta Somma | Co-conveners: Udo Zimmermann, Jason H. Byrd, Sebastiano Ettore SpotoECSECS, Luca Trombino
Orals
| Mon, 24 Apr, 14:00–15:45 (CEST)
 
Room 0.94/95
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 BG
Orals |
Mon, 14:00
Mon, 16:15
Mon, 16:15

NH11 – Climate Hazards

Programme group scientific officer: Steven Hardiman

NH11.2 EDI

This session is a merger of ‘Future changes in weather and climate hazards around the world ‘ and ‘Prediction of natural hazards and climate extremes on seasonal to decadal timescales’ .

Both anthropogenic climate change and internal climate variability lead to changing risks from many natural hazards around the world. Anthropogenic climate change is expected to modify, for instance, the frequency and magnitude of droughts, heatwaves, flooding, wildfires, and tropical cyclones, which can all have large impacts on society, in different ways depending on the geographical location.

Understanding the expected changes in these hazards, and how they may interact with local socioeconomics and population changes over the coming decades and centuries will enable us to design relevant climate services and allow the society to adapt to the future risk.

On seasonal timescales, substantial advances in initialized climate prediction have led to skillful predictions in natural hazards and climate extremes, providing stakeholders with information to make shorter term decisions.

This session aims to showcase recent research progress investigating natural environmental hazards and their projected changes over decadal to century timescales, as well as skill and predictability on seasonal to decadal timescales. It will foster discussion to identify outstanding research questions and form new collaborations, for instance which hazards receive less attention in the community for specific geographical regions? Or what hazard sectors should work more closely with weather and climate scientists for progress to be made?

We invite contributions on the changing risk and prediction from natural hazards, including but not limited to studies of:
- Detection and attribution of hazards
- Climate change trends in hazards on decadal to centennial timescales
- Skill and reliability of predictions of hazards on seasonal and decadal timescales
- Global weather and climate teleconnections and their links to environmental hazards
- Consecutive or concurrent hazards from the same or different weather systems
- Global, regional, and local vulnerability and exposure to hazards
- Climate services, risk mitigation, and climate adaptation
- Sources of predictability

Public information:

This session aims to showcase recent research progress investigating natural hazards and their projected changes over decadal to century timescales, as well as skill and predictability on seasonal to decadal timescales. 

Both anthropogenic climate change and internal climate variability lead to changing risks from many natural hazards around the world. Anthropogenic climate change is expected to modify, for instance, the frequency and magnitude of droughts, heatwaves, flooding, wildfires, and tropical cyclones, which can all have large impacts on society. Understanding the expected changes in these hazards, and how they may interact with local socioeconomics and population changes will enable us to design relevant climate services and allow the society to adapt to the future risk. 

The session is a merger of ‘Future changes in weather and climate hazards around the world’ and ‘Prediction of natural hazards and climate extremes on seasonal to decadal timescales’.

Including NH Division Outstanding Early Career Scientist Award Lecture
Convener: Dann Mitchell | Co-conveners: Mihaela Caian, Gillian Kay, Julia Lockwood, Vikki ThompsonECSECS, Ning Lin, Sonia Seneviratne
Orals
| Mon, 24 Apr, 14:00–18:00 (CEST)
 
Room M2
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, 14:00
Mon, 10:45
Mon, 10:45
NH11.3 EDI

Importance of delta and estuaries
Estuaries and deltas are vulnerable landforms in the coastal and estuarian systems. Estuarine and Delta Systems are home to diverse ecosystems and services. Large sediment deposition in the Anthropocene made the delta a fertile and productive landform. Delta and estuaries are historically playing an important role in the development of human civilizations with their Enormous potential for agriculture and fisheries. Over the past 50 years, increases in the human population have had severe global effects on rivers and deltaic systems through enhanced fertilizer usage, dam construction, deforestation, and many associated land-use changes. It has been estimated that approximately 61% of the world's population lives along the coastal boundary. By 2025, an estimated 75% of the world’s population is expected to live in the coastal zone, with many of the remaining 25% living near major rivers. The coastal ocean is a dynamic region where rivers, estuaries, ocean, land, and the atmosphere interact. Although relatively small in area, this region (30% of the total net oceanic productivity) supports as much as 90% of the global fish catch.

Convener: Indrajit Pal | Co-conveners: Mohammad Heidarzadeh, Jens Ehn, Anirban MukhopadhyayECSECS, Mashfiqus Salehin, Liang Qiuhua, Neshma Tuladhar
Orals
| Thu, 27 Apr, 14:00–17:45 (CEST)
 
Room 1.31/32
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
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 KelderECSECS | Co-conveners: Laura Suarez-GutierrezECSECS, Peter Alexander, Henrique Moreno Dumont GoulartECSECS, 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
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 ThieryECSECS, 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
CL4.10 EDI

An increasing number of single model large ensemble simulations from Global Climate Models (GCM), Earth System Models (ESM), or Regional Climate Models (RCM) have been generated over recent years, to investigate internal variability and forced changes of the climate system — and to aid the interpretation of the observational record by providing a range of historical climate trajectories that could have been. The increased availability of large ensembles also enables new and inter-disciplinary applications beyond large-scale climate dynamics.

This session invites studies using large GCM, ESM, or RCM ensembles looking at the following topics: 1) Reinterpretation of the observed record in light of internal variability; 2) forced changes in internal variability; 3) development of new approaches to attribute and study observed events or trends; 4) impacts of natural climate variability; 5) assessment of extreme and compound event occurrence; 6) combining single model large ensembles with CMIP archives for robust decision making; 7) large ensembles as testbeds for method development.

We welcome research across all components of the Earth system. Examples include topics ranging from climate dynamics, hydrology and biogeochemistry to research on the role of internal variability in impact studies, focused for example on agriculture, air pollution or energy generation and consumption. We particularly invite studies that apply novel methods or cross-disciplinary approaches to leverage the potential of large ensembles.

Co-organized by NH11/OS4
Convener: Andrea DittusECSECS | Co-conveners: Sebastian MilinskiECSECS, Laura Suarez-GutierrezECSECS, Karin van der Wiel, Raul R. WoodECSECS
Posters on site
| Attendance Fri, 28 Apr, 10:45–12:30 (CEST)
 
Hall X5
Fri, 10:45
CL4.3 EDI

This session covers predictions of climate from seasonal to decadal timescales and their applications. With a time horizon from a few months up a few decades, such predictions are of major importance to society, and improving them presents an interesting scientific challenge. This session embraces advances in our understanding of the origins of seasonal to decadal predictability, as well as in improving the forecast skill and making the most of this information by developing and evaluating new applications and climate services.

The session welcomes contributions from dynamical as well as statistical predictions (including machine learning methods) and their combination. This includes predictions of climate phenomena, including extremes, from global to regional scales, and from seasonal to multi-decadal timescales ("seamless predictions"). The session also covers physical processes relevant to long-term predictability sources (e.g. ocean, cryosphere, or land) and predictions of large-scale atmospheric circulation anomalies associated to teleconnections as well as observational and emergent constraints on climate variability and predictability. Also relevant is the time-dependence of the predictive skill and windows of opportunity. Analysis of predictions in a multi-model framework, and ensemble forecast initialization and generation, including innovative ensemble approaches to minimize initialization shocks, are another focus of the session. The session pays particular attention to innovative methods of quality assessment and verification of climate predictions, including extreme-weather frequencies, post-processing of climate hindcasts and forecasts, and quantification and interpretation of model uncertainty. We particularly invite contributions presenting the use of seasonal-to-decadal predictions for risk assessment, adaptation and further applications.

Co-organized by AS1/NH11/NP5/OS4
Convener: Leon Hermanson | Co-conveners: Panos J. Athanasiadis, Bianca MezzinaECSECS, Leonard BorchertECSECS, André Düsterhus
Orals
| Fri, 28 Apr, 16:15–18:00 (CEST)
 
Room 0.49/50
Posters on site
| Attendance Fri, 28 Apr, 14:00–15:45 (CEST)
 
Hall X5
Orals |
Fri, 16:15
Fri, 14:00

NH12 – Short Courses

Programme group scientific officer: Raffaele Albano

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The European Research Council (ERC) is a leading European funding body supporting excellent investigator-driven frontier research across all fields of science. ERC calls are open to researchers around the world. The ERC offers various different outstanding funding opportunities with grants budgets of €1.5 up to €3.5 million for individual scientists. All nationalities of applicants are welcome for projects carried out at a host institution in Europe (European Union member states and associated countries). At this session, the main features of ERC funding individual grants will be presented.

Co-organized by GD11/GM12/NH12/PS9/SSP5
Convener: David Gallego-Torres | Co-conveners: Claudia Jesus-Rydin, Eystein Jansen
Mon, 24 Apr, 14:00–15:45 (CEST)
 
Room 0.96/97
Mon, 14:00
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Networking is crucial for scientists of all career stages for collaborations as well as for their personal growth and career pathways. Your scientific network can support you when struggling with everyday academic life, help with making career choices and give feedback on job applications/proposals/papers. Further, having a scientific network can provide new perspectives and opportunities for your research while leading to interdisciplinary collaborations and new projects.
Building up an initial network can be challenging, especially outside of your research institution. As scientific conferences and social media platforms are evolving, the possibilities of academic networking are also changing. In this short course we will share tips and tricks on how to build, grow and maintain your scientific network. Additionally, panelists will talk about their own personal experiences. In the second part of the short course, we will do a networking exercise. This short course is relevant to scientists who are starting to build/grow their network or want to learn more about networking in today’s scientific settings.

Co-organized by GM12/NH12/OS5/PS9
Convener: Andreas KvasECSECS | Co-conveners: Megan Holdt, Rebekka Steffen
Mon, 24 Apr, 10:45–12:30 (CEST)
 
Room 0.96/97
Mon, 10:45
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Life-work-balance or more commonly known as work-life-balance is a synonym for working conditions where you also have enough spare time to enjoy your life. But, is it that easy? And what is more important in case of overlap: the “life” or the “work”? In this short course, we discuss life-work-balance and its meaning in different countries within academia. Is every country, every institution treating life-work-balance the same way? How do they differ? What are the measures already in place? We will invite panelists to present their current conditions or talk about their vision of a good life-work-balance in academia and what needs to be changed. In addition, we would like to hear from the attendees; We will conduct a survey about the meaning and settings of a life-work-balance, and discuss the results during the short course. Afterwards we aim to actively engage the audience to discuss how we can improve the life-work-balance conditions at the various institutions and how we can help employees to achieve a good life-work-balance for themselves. We invite people from all career stages and disciplines to come and join us for this short course.
This short course is offered by the Life-Work-Balance Working Group.

Public information:

As part of the short course we are conducting a survey about the meaning and settings of a life-work balance. The results will be discussed at the short course. Please answer our questions in the survey here: https://www.egu.eu/forms/preGAsurvey23/ Many thanks!

Co-organized by GM12/NH12
Convener: Saioa A. Campuzano | Co-conveners: Rebekka Steffen, Anita Di Chiara, Silvia De AngeliECSECS, Selina Kiefer
Thu, 27 Apr, 14:00–15:45 (CEST)
 
Room -2.61/62
Thu, 14:00
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Building a successful academic career is a challenge. Doing it while also building a family might push you to your limit. Many early and mid-career scientists are faced with the question of how to balance family and academic career. They are finding themselves left with a private problem, when it is actually a shared and societal issue, linking to other overarching themes of participation and diversity.
It is crucial to find support and confidence in going forward as an individual, and we as a community need to talk about parenting in academia to be able to demand and develop sustainable solutions that benefit many, instead of fighting private battles over and over again.
This short course aims to (1) provide some insight into how being a parent affects your every day academic life, (2) highlight the existing support measures for parents in academia in different countries, and (3) offer some experience-based strategies that are being shared by a panel of academic parents, (4) concluding with an open discussion, touching on the public discourses on equal parenting and life-work balance. This course targets scientists who think about having a family, as well as parents in academia keen to connect, and faculty staff with responsibilities towards parenting employees.

Co-organized by GM12/NH12/OS5/PS9
Convener: Johanna Kerch | Co-conveners: Rebekka Steffen, Bart Root, Gerald Raab
Mon, 24 Apr, 14:00–15:45 (CEST)
 
Room -2.61/62
Mon, 14:00
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After the PhD, a new challenge begins: finding a position where you can continue your research or a
job outside academia where you can apply your advanced skills. This task is not
always easy, and frequently a general overview of the available positions is missing. Furthermore,
in some divisions, up to 70% of PhD graduates will go into work outside of academia. There are many
different careers which require or benefit from a research background. But often, students and
early career scientists struggle to make the transition due to reduced support and networking.
In this panel discussion, scientists with a range of backgrounds give their advice on where to find
jobs, how to transition between academia and industry and what are the pros and cons of a career
inside and outside of academia.
In the final section of the short course, a Q+A will provide the audience with a chance to ask
their questions to the panel. This panel discussion is aimed at early career scientists but anyone
with an interest in a change of career will find it useful. An extension of this short course will
run in the networking and early career scientist lounge, for further in-depth or
one-on-one questions with panel members.

Co-organized by CR8/GM12/GMPV11/NH12/TS14
Convener: Francesco Giuntoli | Co-conveners: Jenny Turton, Anouk Beniest, Gökben Demir
Mon, 24 Apr, 08:30–10:15 (CEST)
 
Room -2.61/62
Mon, 08:30
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Most geo-science depends on constructive human interaction, experience and reflection. Debriefing is a methodology that can greatly enhance and clarify human interactions and experience, through structured sharing and reflection. It is commonly used in participatory simulation and learning games. However, many other areas make explicit use of the methodology of debriefing, including natural disasters, geography teaching, underwater diving, social consequences of climate change, Geoethics, geological outings, expeditions, natural resource management simulation, research, publication and so on.

In several professional geo-processes, from learning and research, through planning and expeditions, to meetings and publication, debriefing can be used much more than it is, to enhance important aspects of the work.

This Short Course will be conducted in a workshop format, starting with (a) a short overview of debriefing, followed by (b) a hands-on, small-group debrief session and ending with (c) participants in small groups designing their own prototype debriefing structure adapted to their own situation.

A little preparation before the course will help immensely. Please:
• Skim read http://dx.doi.org/10.13140/RG.2.2.13117.54248, or read relevant parts in more depth if you like. Note that the focus of the document is on simulation, but the principles can be adapted to many areas.
• Think about a recent experience or project that was not entirely satisfactory for you.
• Bring some blank paper and a pen.

Please note that the course is limited to twenty attendees, on a first-come basis.

Co-organized by NH12, co-sponsored by IAPG and Future Earth
Convener: David Crookall | Co-conveners: Berill Blair, Pimnutcha PromduangsriECSECS, Pariphat PromduangsriECSECS
Fri, 28 Apr, 10:45–12:30 (CEST)
 
Room -2.85/86
Fri, 10:45
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Open Science is a redefinition of scientific collaboration and output around principles and values of transparency, rigor, inclusivity, and trust. It is a culture designed to promote science and its social impact. It reflects how science has evolved into 21st Century, including the huge growth in data, instrumentation, computational power and resources, and complexity as well as its importance for addressing large societal challenges. Open science creates new opportunities for all stakeholders including researchers, funders, institutions, decision makers, and public participants, and communities.
In this short course, we will introduce participants to Open Science, the ecosystem that supports Open Science, and the values, practices and tools that enable that ecosystem. Participants will have the opportunity to explore the practical impact of Open Science, the tools that advance research and collaboration. This course is designed for researchers new to open science, open science practices and tools that enable and support open science.
Participants in this course will be able to define open science, discuss the benefits and challenges of open science, and identify the practices that enable open science. Participants will be able to identify tools and resources that can be used to practice open science in their own research. Participants will be able to develop a plan to implement open science practices in their own contexts.

If taken with Practicing Open Science: Data, Software, and other Results, participants will gain a broad overview of open science and how to practice it with immediately applicable actions.

Public information:

In this short course, we will introduce participants to Open Science, the ecosystem that supports Open Science, and the values, practices and tools that enable that ecosystem. Participants will have the opportunity to explore the practical impact of Open Science, the tools that advance research and collaboration. This course is designed for students or other researchers new to open science, open science practices and tools that enable and support open science.

Participants in this course will be able to define open science, discuss the benefits and challenges of open science, and identify the practices that enable open science. Participants will be able to identify tools and resources that can be used to practice open science in their own research. Participants will be able to develop a plan to implement open science practices in the context of an individual researcher.

If taken with Practicing Open Science: Data, Software, and other Results, participants will gain a broad overview of open science for both individuals and teams and how to practice it with immediately applicable actions.

Co-organized by CL6/ESSI3/GM12/NH12, co-sponsored by AGU
Convener: Lauren Parr | Co-convener: Samantha Veneruso
Wed, 26 Apr, 08:30–10:15 (CEST)
 
Room -2.85/86
Wed, 08:30
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Access to open data, open software and open results is important for transparency and supports reproducibility of research findings. It is critical to supporting disaster emergency responses all over the world, to advancing the response to the global pandemic, to advancing science in response to big and small questions, and making science more inclusive, impactful, and focused on the public good.

This course is designed to introduce researchers to the practices, characteristics, and benefits of open data, open software, and open results via the researcher workflow and research life-cycle. This course is an opportunity to review key practices that support preservation, sharing, using, and attribution of open data, software, and other results to advance science.

Participants will be able to articulate the definitions and characteristics of open data as well as the concepts of metadata, primary, and secondary data. They will be able to identify open software practices and resources for sharing, use, maintaining, and evolving open software while using open software to streamline workflow. Participants will be able to explain how, when, and where to make research outputs open and accessible while discussing the challenges and benefits of open results practices. Finally, participants will be able to create a plan to implement open research in their contexts.

If taken with Practicing Open Science: The principles, ecosystem, and tools, participants will gain a broad overview of open science and how to practice it with immediately applicable actions.

Public information:

This course is designed to introduce researchers to the practices, characteristics, and benefits of open data, open software, and open results via the researcher workflow and research life-cycle, with a particular emphasis on best practices for teams. This course is an opportunity to review key practices that support preservation, sharing, using, and attribution of open data, software, and other results to advance science. .

Participants will be able to articulate the definitions and characteristics of open data as well as the concepts of metadata, primary, and secondary data. They will be able to identify open software practices and resources for sharing, use, maintaining, and evolving open software while using open software to streamline workflow.   Participants will be able to explain how, when, and where to make research outputs open and accessible while discussing the challenges and benefits of open results practices. Finally, participants will be able to create a plan to implement open research in the context of leading a research team

Co-organized by CL6/ESSI3/GM12/NH12
Convener: Lauren Parr | Co-convener: Royce Brooks Hanson
Wed, 26 Apr, 10:45–12:30 (CEST)
 
Room -2.85/86
Wed, 10:45
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The work of scientists does not end with publishing their results in peer-reviewed journals and presenting them at specialized conferences. In fact, one could argue that the work of a scientist only starts at this point: outreach. What does science outreach mean? Very simply, it means to engage with the wider (non-scientific) public about science.
The way of doing outreach has radically changed in the last decades, and scientists can now take advantage of many channels and resources to tailor and deliver their message to the public: to name a few, scientists can do outreach through social media, by writing blogs, recording podcasts, organizing community events, and so on.
This short course aims to give practical examples of different outreach activities, providing tips and suggestions from personal and peers’ experiences to start and manage an outreach project. Specific attention will be paid to the current challenges of science communication, which will encompass the theme of credibility and reliability of the information, the role of communication in provoking a response to critical global issues, and how to tackle inequities and promote EDI in outreach, among others.
The last part of the course will be devoted to an open debate on specific hot topics regarding outreach. Have your say!

Public information:

Speakers:

  • Elisa Vanin (Politecnico of Turin) - Theatre and Climate Change
  • Erik Sturkell (University of Gothenburg) - Cinema and Geoscience
  • Maria Gabriela Tejada Toapanta (#EGU23 Artist in Residence) - Art and graphics for science outreach

This short course is provided by the Connectivity and Visibility Working Group.

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Co-organized by EOS1/CR8/GD11/GM12/GMPV11/NH12/OS5/PS9/SSP5
Convener: Giulia Consuma | Co-conveners: Silvia De AngeliECSECS, David Fernández-Blanco, Giorgia Stasi, Georgia MoutsianaECSECS
Wed, 26 Apr, 14:00–15:45 (CEST)
 
Room -2.61/62
Wed, 14:00
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Giving presentations of our work or a lecture in front of an audience is an intrinsic part of any stage of the academic career and beyond. Giving a presentation can be stressful, in terms of preparation and delivery, and it can be scary, in terms of standing in front of an audience with the focus on your presentation. This uncomfortable feeling can reach points where it may hinder your possibilities, it can turn into ‘stage fright’ or even be a cause of giving up a career in science. It can happen in any career stage, from your first ever presentation to your 40th one. In this short course we focus on different aspects of presentation anxiety, sharing strategies how to deal with it, and we will provide a platform for the questions you may have but did not dare ask your supervisor or your peers.
This short course is offered by the Life-Work-Balance Group.

Public information:

In this Short Course, three invited speakers will cover various topics concerning how to overcome one's fear of giving a presentation. They will share their tips, give concrete examples, and propose simple exercises to work on one's voice, posture and presentation pitch. One aim of the Short Course is to encourage discussions, so the format will allocate a significant fraction of time for asking questions to the speakers.

Co-organized by GM12/NH12/PS9
Convener: Maxime GrandinECSECS | Co-conveners: Anita Di Chiara, Saioa A. Campuzano, Rebekka Steffen, Janina J. NettECSECS
Mon, 24 Apr, 16:15–18:00 (CEST)
 
Room -2.61/62
Mon, 16:15
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The scientific communication landscape in the digital era is rapidly becoming all about effectively delivering ideas in brief. As scientific conferences move from longer physical meetings to more condensed hybrid formats, not only are short presentations necessary for pitching yourself to senior scientists or your next entrepreneurial venture to Venture Capitalists, but also for promoting your research. The opportunities of networking rarely reveal themselves, unless you are able to tell a brief, informative, and compelling story about you and your research.
It is truly an art to engage people through these short presentations and ignite a fire in their hearts, which will burn long enough for them to remember you and reach out to you later about relevant opportunities. While practice makes perfect is the mantra for delivering power-packed short presentations, there are several tricks to make your content stand out and set yourself apart from the crowd.
In this hybrid format course, we will bring together ideas and tips from years of sci-comm experience to provide you a one stop shop with the tricks of the trade. Finally, a hands-on exercise where participants will receive structured feedback on all aspects of their talk will help solidify the learning outcomes. The learning objectives of this short course are as follows:
-Structuring a killer elevator pitch – learning from 1/2/3-min examples
-Knowing your audience – harnessing the power of tailored openings/closings
-Captivating delivery – leveraging body language to your advantage
-Harnessing creativity - choosing the right medium
-Enunciating to engage – communicating across borders
-Effectively practising your pitch – making the best of your time
Early career and underrepresented scientists are particularly encouraged to participate as they can gain the most from the learning outcomes of this short course.

Co-organized by GM12/NH12/OS5/PS9
Convener: Antara Dasgupta | Co-conveners: Louise Arnal, Hannah Cloke
Wed, 26 Apr, 08:30–10:15 (CEST)
 
Room 0.96/97
Wed, 08:30
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If you think your research is important and can make a difference in the world, but aren’t writing papers about making the world realize this, this is the session for you! To us, geoscience communication spans education, outreach, engagement and any studies into how any public (e.g. government, industry, an interest group) interacts with or consumes the geoscience that is your core business.

The session is a drop-in ‘clinic’ with the journal editors, so bring your ideas and questions!

The session will consist of roughly 10 mins of us talking, followed by small group or 1-to-1 discussion with a Geoscience Communication editor about your research idea – or how to integrate research into your geoscience communication activity (i.e. make it publishable).

It doesn’t matter if you know very little already. No question is too basic. It doesn’t matter how well developed (or not) your idea is. We can help you think about how to improve it, and to make it publishable – of course, we’d prefer Geoscience Communication. Alternatively, you could be an experienced geoscience communication practitioner who gets on with doing it, getting results, rather than writing a paper on it. In that case, we’d like to convince you that trying to publish is worth it!

Public information:

Link to materials for this session is below

  • Introductory Presentation (10 mins)
  • Flyer
  • Planning to make it pubishable: a scheme for the drop-in-clinic

https://drive.google.com/drive/folders/1cyxawZ5fhv-xoziifdILDSDfmn16ru_D?usp=sharing

Co-organized by EOS1/GM12/NH12/OS5
Convener: John K. Hillier | Co-conveners: Solmaz Mohadjer, Louise Arnal, Tiziana Lanza
Thu, 27 Apr, 10:45–12:30 (CEST)
 
Room -2.85/86
Thu, 10:45
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Science has long been a source of inspiration for artists, writers and other creative professionals, but as anyone who has seen a science-based film can tell you, the gap between inspiration and fact can sometimes be wide. So what do you do if you are approached by an artist or creative profession to collaborate on a project? How do you ensure that your subject is represented accurately, whilst at the same time respecting the artist’s creative freedom? And how do you find a creative professional to collaborate with you on your research?

In this short course we will explain some basic tips to help you with these issues, from the very first step of contacting, or being contacted by a creative professional, understanding the collaborative brief and how to write one, how the working styles of artists and scientists are different (and the same) and how to decide where the boundary between fact and fiction lies for you. Drawing experience from artists who have worked with scientists and scientists who have worked with artists across a range of mediums from theatre, opera, and dance, to sculpture, creative writing and painting, this short course will give you the information you need to collaborate with confidence.

Co-organized by EOS1/GM12/NH12/PS9
Convener: Hazel Gibson | Co-conveners: Lucia Perez-Diaz, Fabio Crameri
Thu, 27 Apr, 14:00–15:45 (CEST)
 
Room -2.85/86
Thu, 14:00
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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 KhuranaECSECS | 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
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In the face of multiple global crises and accelerating global warming, political decisions need to consider an array of factors and evidence. Policymakers not only must consider a wide range of input from stakeholders along with the likely unintended consequences of any action or inaction. As researchers, we want our expertise to inform political decisions. As concerned and informed citizens with scientific training, we watch with concern where decisions are taken due to one-sided information, clouded by populist motifs, or short-term gain. Especially in the climate science sphere, many researchers also identify as activists, taking the stance that watching from the sidelines and creating an understanding of the gravity of the problem is not enough.

This Short Course is aimed at researchers at all career stages who want to ease the dissonance between these narratives and are willing to explore their place on the continuum between environmental activism and detached professionalism. This session will acknowledge that there are as many positions along the continuum as there are individuals. In an informal setting, we explore the different positions that you, as a researcher, might want to take in the public discourse. Experts who are currently working on the interface of science, society, and activism through groups such as Scientists for Future will offer their positive and, potentially, also negative experiences as well as their motivation to act for change.

Co-organized by EOS4/CL6/GM12/NH12/PS9
Convener: Flora Maria Brocza | Co-conveners: Chloe Hill, Christina West, Kirsten v. Elverfeldt, Viktor J. Bruckman
Tue, 25 Apr, 14:00–15:45 (CEST)
 
Room -2.61/62
Tue, 14:00
SC3.12

How can scientists and governments ensure that their communication resonates more deeply with citizens without resorting to the manipulative tactics used by those who seek to undermine liberal democracy? How can scientific and government actors ensure their communications are equally meaningful and ethical?

This Short Course will combine insights from state-of-the-art scientific knowledge, novel empirical research on values-targeted communication strategies, and a deep understanding of practitioners’ and citizens’ attitudes on these topics. Examples from the European Commission’s Joint Research Centre will be used to share practical guidance for scientists who need to successfully navigate the policy world.

Co-organized by EOS1/CL6/NH12/SSP5
Convener: Laura Smillie | Co-conveners: Chloe Hill, Hazel Gibson
Thu, 27 Apr, 08:30–10:15 (CEST)
 
Room -2.85/86
Thu, 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
SC4.7

The climate is highly variable over wide ranges of scale in both space and time so that the amplitude of changes systematically depends on the scale of observations. As a consequence, climate variations recorded in time series or spatial distributions, which are produced through modelling or empirical analyses are inextricably linked to their space-time scales and is a significant part of the uncertainties in the proxy approaches. Rather than treating the variability as a limitation to our knowledge, as a distraction from mechanistic explanations and theories, in this course the variability is treated as an important, fundamental aspect of the climate dynamics that must be understood and modelled in its own right. Long considered as no more than an uninteresting spectral “background”, modern data shows that in fact it contains most of the variance.

We review techniques that make it possible to systematically analyse and model the variability of instrumental and proxy data, the inferred climate variables and the outputs of GCM’s. These analyses enable us to cover wide ranges of scale in both space and in time - and jointly in space-time - without trivializing the links between the measurements, proxies and the state variables (temperature, precipitation etc.). They promise to systematically allow us to compare model outputs with data, to understand the climate processes from small to large and from fast to slow. Specific tools that will be covered include spectral analysis, scaling fluctuation analysis, wavelets, fractals, multifractals, and stochastic modeling; we discuss corresponding software. We also include new developments in the Fractional Energy Balance Equation approach that combines energy and scale symmetries.

Co-organized by AS6/CL6/CR8/GM12/NH12/NP9/OS5/SSP5
Convener: Shaun Lovejoy | Co-conveners: Thomas Laepple, Christian Franzke
Fri, 28 Apr, 08:30–10:15 (CEST)
 
Room 0.96/97
Fri, 08:30
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
SC4.9

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 BuschowECSECS
Mon, 24 Apr, 08:30–10:15 (CEST)
 
Room -2.85/86
Mon, 08:30
SC5.5

Python is one of the most popular programming languages for data science and analytics, with a large and steadily growing community in the field of Earth and Space Sciences. In this short introductory course, we will help participants with a working knowledge of Python to familiarize themselves with the world of geospatial raster and vector data. We will introduce a set of tools from the Python ecosystem and show how these can be used to carry out practical geospatial data analysis tasks. In particular, we will consider satellite images and public geo-datasets and demonstrate how these can be opened, explored, manipulated, combined, and visualized using Python. The tutorial will be based on the lesson “Introduction to Geospatial Raster and Vector data with Python” [1], which is part of the Incubator program [2] of The Carpentries [3].

[1] https://carpentries-incubator.github.io/geospatial-python
[2] https://carpentries-incubator.org/
[3] https://carpentries.org

Co-organized by ESSI3/GM12/NH12
Convener: Francesco Nattino | Co-conveners: Ou Ku, Fakhereh AlidoostECSECS, Pranav Chandramouli, Robin Richardson
Tue, 25 Apr, 16:15–18:00 (CEST)
 
Room -2.61/62
Tue, 16:15
SC5.6 EDI

Python is an open-source language at the very forefront of climate science. To understand past, present and future climate, climatologists analyze and interpret large amounts of historical data obtained from multiple sources such as weather stations, radar, satellites or computer models, to name but a few. Therefore, Earth scientists spend a great deal of time processing multidimensional climate data in order to better understand and explain climate systems.

This short-course covers basic tools to get started with Python in climate science. For example, this short course will briefly touch upon subjects, such as (i) packages mosted used by climate scientists, (ii) Python for beginners, and (iii) data extraction, basic analysis, and visualization. Specifically, participants will become familiar with datasets and learn how to manipulate geospatial and multidimensional data from commonly used reanalysis climate datasets. Additionally, we will also cover how to take advantage of the powerful, versatile and widely used package Xarray (https://xarray.dev/) to apply simple operations over multidimensional data in just a few lines of code! By the end of the course, participants will be able to compute and visualize anomalies and climatologies.

This short-course promotes open-source and collaborative environments for climate scientists. To accomplish this goal, this course will be conducted using Jupyter notebooks in Google Colab. Participants are recommended to open a google account prior to the course. We expect all participants to have some basic programming experience (including basic knowledge of coding concepts such as loops, conditional statements, functions and data types, among others), but no previous exposure with Python language is necessary. Attendees will be provided with an installation guide, as well as with complementary examples (i.e., notebooks) to illustrate how useful these tools can be for a climate scientist.

We highly encourage early career researchers and programming enthusiasts in climate and wider environmental sciences to attend this course.

Co-organized by AS6/CL6/ESSI3/NH12
Convener: Shalenys Bedoya-ValesttECSECS | Co-conveners: Christian Pagé, Ichiko SugiyamaECSECS
Mon, 24 Apr, 08:30–10:15 (CEST)
 
Room 0.15
Mon, 08:30
SC5.1

Policies and decisions are often based on data products, such as dynamic maps and time series. The underlying data is ideally of high quality, but generating complete and accurate data is often a costly endeavour. Integrating sparse accurate sensors and low-cost instruments is a way to overcome this issue but it results in challenges related to interoperability. Moreover, the quality of combined data and how the resulting data product (e.g., a map showing an interpolation) is generated needs to be communicated transparently to users. An aggravating factor is that quality is not an absolute indicator but might depend on the use case and other factors (e.g, accuracy/precision of the sensors, deployment, data management). A computational notebook (e.g., R Markdown) can help to communicate how the quality of a dataset and the data product are calculated. For example, the notebook can show which observations are included/excluded in a map showing an interpolation.
In this short course, we will show how reproducible computational notebooks can help to communicate information on data quality effectively and transparently allowing users to understand, verify, and build on top of shareable workflows. To achieve that, we will demonstrate a use case from the EU-funded project MINKE on how the cooperation between the metrology and the oceanographic community can lead to an improved data reliability and use to address wicked problems related to “Life below water” (SDG 14). MINKE focuses on data quality and interoperability and aims to improve the use of existing research infrastructures and stimulate collaborations across research fields and citizen science.
In this hands-on course, we will apply tools to publish reproducible research, including R, R Markdown, Binder, and git. Furthermore, we will touch upon issues related to the computational environment and data management, thus covering Open Science principles (e.g., open code and data). This course is open to everyone interested in reproducibility of R-based workflows. We invite participants to follow the use case on their laptops and experiment with the computational workflow. Basic knowledge in R is needed, whereas knowledge in the other technologies is recommended but optional. The workflows will be reproducible in the browser. While the use case is from MINKE, the reproducibility concepts are applicable to other scenarios based on computational workflows.
Please register: https://forms.gle/34uD45xH3UKY6tiHA

Co-organized by CL6/ESSI3/GM12/NH12/OS5
Convener: Markus Konkol | Co-convener: Simon Jirka
Tue, 25 Apr, 14:00–15:45 (CEST)
 
Room -2.85/86
Tue, 14:00
SC5.2 EDI

Almost all scientific studies rely to some extent on correct statistical analyses. While statistical software packages for scientists offer great opportunities and provide many powerful tools (e.g., in data mining and exploratory statistics), there are many pitfalls, which may result in wrong or nonreproducible manuscripts. This problem has been known for a long time and has been addressed explicitly in some research fields other than the geosciences. This short course aims to address potential problems in geoscientific studies and to reduce the number of non-reproducible studies.

A. Fundamental issues in design of experiments and statistical analyses
The following fundamental issues will be addressed:
• Time spent for experimental designs. Advantages and disadvantages of selected experimental designs. Missing randomization. Observational study vs. controlled experiments
• Pseudo-replication vs. true replications and how to deal with it. Wrong model formulations
• “Obsession” with p values: Statistical significance and geoscientific relevance
• Statistical tests: conditions for the application of modelling and hypothesis testing
• Dealing with suspected outliers
• Logistic vs. linear regression
• Number of experimental treatments vs. power of tests. Number of replicates required for predictive modelling
• Use and misuse of correlation analyses
• Investigating and dealing with interactions between factors or predictors

B. Selected advanced issues in geoscientific studies
The following topics will be addressed:
• Validation or cross-validation instead of a sole focus on calibration.
• Model types
• Use of contrasts instead of multiple mean testing
• Different experimental designs – completely randomized (CRD), randomized complete block (RCBD), Latin square (LSD), balanced incomplete bock (BIBD), and split plot design
• RCBD with one treatment factor: analysis of variance and mixed effects model
• Blocked observational study with one predictor: multiple linear regression and mixed effects model
• CRD, RCBD, LSD, split plot design and BIBD: advantages, disadvantages, equations and modelling
• Analysing nested (multi-stratum) designs

Examples will be shown using the programming languages R and SAS

Co-organized by AS6/ESSI3/GM12/NH12/SSP5
Convener: Bernard Ludwig | Co-conveners: Isabel GreenbergECSECS, Anna GuninaECSECS
Thu, 27 Apr, 10:45–12:30 (CEST)
 
Room -2.61/62
Thu, 10:45
SC5.3

Due to the continuous increase in geographical data set sizes and the number of computations that have to be performed in numerical modelling or data analyses, there is often a need to improve the performance and scalability of the software used. Developing such software can be challenging.

In this short course we will introduce the asynchronous many-tasks (AMT) approach, which can be used to develop software that performs and scales well over cores in a single computer as well as over nodes in a computer cluster. We will explain the general principles behind AMT, and show how the HPX C++ software library [1] can be used to develop an example algorithm, calculating hill shading from a digital elevation model, in parallel.

One advantage of using the HPX library is that it provides a single high-level API for performing parallel computations on both shared and distributed memory systems. This contrasts with a popular approach of using multiple APIs - and their associated programming models - for these, like OpenMP and MPI.

The HPX library is successfully being used in various HPC applications, one of which is the LUE numerical modelling framework [2, 3, 4]. With LUE model developers can implement their models using Python and execute them unchanged on their laptop or on a computer cluster.

The goal of this short course is to introduce the attendants to the principles behind AMT and the HPX library, and allow them to be able to decide whether the approach is applicable in their own use-cases. The short course is especially relevant for research software engineers, but we welcome everybody interested in the topic.

- [1] HPX website, https://hpx.stellar-group.org
- [2] LUE website, https://lue.computationalgeography.org
- [3] De Jong, K., Panja, D., Van Kreveld, M., Karssenberg, D. (2021), An environmental modelling framework based on asynchronous many-tasks: scalability and usability, Environmental Modelling & Software, doi: 10.1016/j.envsoft.2021.104998
- [4] De Jong, K., Panja, D., Karssenberg, D., Van Kreveld, M. (2022), Scalability and composability of flow accumulation algorithms based on asynchronous many-tasks, Computers & Geosciences, doi: 10.1016/j.cageo.2022.105083

Co-organized by ESSI3/NH12/OS5
Convener: Kor de Jong | Co-convener: Oliver Schmitz
Mon, 24 Apr, 10:45–12:30 (CEST)
 
Room -2.61/62
Mon, 10:45
SC5.8 EDI

The catalogue of marine data and services available from EUMETSAT continues to grow. Between mandatory missions and those operated under the Copernicus programme, and their respective downstream services, the opportunities for users to access data relevant for marine applications have never been greater. However, with increasing volume and diversity of data comes challenges. This short course will provide an overview of the suite of services and training resources available from EUMETSAT to support users to work with data relevant to the marine community. There will be a strong focus on practical aspects of accessing and working with data, with a particular focus on open source tools. The course will support participants in the use of suite of Python based Jupyter notebooks, and API clients, in both local and cloud computing environments. Trainers will be available to support participants in designing their own workflows for using satellite data in their own marine applications.

Participants will learn:
- What data is available from EUMETSAT via its mandatory and Copernicus missions, satellite applications facilities, and through contributions to the Copernicus services. There will be a strong focus on the Sentinel-3 and 6 missions.
- How to access data using EUMETSATs data access services, including harmonised data access through the Copernicus WEkEO service.
- How to work with data using open source tools, based around repositories of Python based code and Jupyter Notebooks.
- About the options presented to work with Copernicus data by cloud computing in WEkEO.

Public information:

If you plan to attend this session, it would be very useful if you have already registered for a EUMETSAT Earth Observation Portal account and a WEkEO account, using thie links below;

  • https://eoportal.eumetsat.int/
  • https://www.wekeo.eu/

All example training code is available on the WEkEO JupyterHub and at https://github.com/wekeo/wekeo4oceans.

Co-organized by ESSI3/NH12
Convener: Ben Loveday | Co-conveners: Aida Alvera-Azcárate, Hayley Evers-King, Cécile Pujol
Tue, 25 Apr, 08:30–10:15 (CEST)
 
Room -2.85/86
Tue, 08:30