Stable isotopes and other novel tracers, such as carbonyl sulfide (COS) and clumped isotopes, help to identify and quantify biological, chemical and physical processes that drive Earth's biogeochemical cycling, atmospheric processes and biosphere-atmosphere exchange. Recent developments in analytical measurement techniques now offer the opportunity to investigate these tracers at unprecedented temporal and spatial resolution and precision.

This session includes contributions from field and laboratory experiments, latest instrument developments as well as theoretical and modelling activities that investigate and use the isotope composition of light elements (C, H, O, N) and their compounds as well as other novel tracers for biogeochemical and atmospheric research.

Topics addressed in this session include:
- Stable isotopes in carbon dioxide (CO2), water (H2O), methane (CH4) and nitrous oxide (N2O)
- Novel tracers and biological analogues, such as COS
- Polyisotopocules ("clumped isotopes")
- Intramolecular stable isotope distributions ("isotopomer abundances")
- Analytical, method and modelling developments
- Flux measurements
- Quantification of isotope effects
- Non-mass dependent isotopic fractionation and related isotope anomalies

Public information:
Solicited speaker:
Dr Amaëlle Landais
Laboratoire des sciences du climat et de l’environnement (LSCE)
https://www.lsce.ipsl.fr/Phocea/Pisp/index.php?nom=amaelle.landais

The extraction and analysis of sedimentary ancient DNA (sedaDNA) from Pleistocene and Holocene sediments could potentially revolutionise palaeoecology and biostratigraphy over the next decade. This potential is growing because it has been shown that a) there is preservation of sedaDNA well outside the sub-Arctic and Arctic biomes, b) the costs are reducing, c) the number of laboratories has increased, and most importantly, d) the techniques, such as metabarcoding and shot gun sequencing, are becoming more robust (both in reliability and specificity) and deeper (in taxonomic coverage). At present, and probably for some considerable time to come, sedaDNA will be used alongside microscopic proxies such as pollen, diatoms, foraminifera and insects but it has the potential to be far more specific in characterising local biotic conditions, climatic reconstructions and impact of human activities. This session invites papers using sedaDNA from sediments or soils from any site from lakes to marine deposits and any time period. Methodological papers are also welcome.

Smart Farming is driving a revolution in agriculture, aiming at more productive and sustainable production through precise and resource-efficient decision making, with additional applications in forest and rangeland management. Remotely sensed Big Data from satellite, small unmanned aerial, airborne, in situ and proximal systems, brings both challenges and opportunities which requires high spatial resolution and near real-time mapping capabilities. Success in crop health monitoring, stress identification, soil mapping, fertilizer and irrigation advisories, yield prediction, ecosystem services, and more have been achieved. This session seeks contributions across government, university, private, and nonprofit organizations. It focuses on research methodologies and applications for the use of high spatial resolution or high temporal frequency remotely sensed Big Data for Smart Farming and land management applications. We invite your findings throughout the chain of data collection, storage, transfer, transformation, analytics and discuss how to achieve the goal of more productive and sustainable agriculture production

This multidisciplinary session invites contributions on the use of methods and tools aimed to obtain reliable stable isotope data in various areas. The number of papers using stable isotopes as a tool has increased enormously in the last years. Though this become a very common technique in many science fields (biogeosciences, atmospheric, environment, ecology, forensics, etc), such datasets are difficult to compare / combine as the data quality is often unknown. Different protocols used in different labs, not optimal use of Reference Materials (RMs), isotope fractionation during sample-preparation and within TCEA peripherals, exchangeable hydrogen and oxygen, different data corrections – these are a few examples of potential pitfalls. Evaluating data quality may be especially difficult for novel methodologies such as atmospheric research (e.g. N2O), applications using matrices with exchangeable Hydrogen, CSIA (e.g. fatty acids, amino acids). The session calls for papers that try to search flaws in analytical methods, in comparison of different datasets produced in different labs/methods, creating protocols and tools for QA/QC, investigation of proper RMs to be used for the fit-for-purpose. This session is a plea for high quality stable isotope data to be applied in many sciences and produce data that can be utilized for the future (this is important considering all efforts in OA journals, datasets, etc) including creating large reference datasets as based on data produced by different labs in areas such as biological species, soils, atmospheric observations, forensics. Often such reference datasets should not be used in any case without a proper QC applied.

A remote sensing signal acquired by a sensor system results from electromagnetic radiation (EM) interactions from incoming or emitted EM with atmospheric constituents, vegetation structures and pigments, soil surfaces or water bodies. Vegetation, soil and water bodies are functional interfaces between terrestrial ecosystems and the atmosphere. The physical types of EM used in RS has increased during the years of remote sensing development. Originally, the main focus was on optical remote sensing. Now, thermal, microwave, polarimetric, angular and quite recently also fluorescence have been added to the EM regions under study.
This has led to the definition of an increasing number of bio-geophysical variables in RS. Products include canopy structural variables (e.g. biomass, leaf area index, fAPAR, leaf area density) as well as ecosystem mass flux exchanges dominated by carbon and water exchange. Many other variables are considered as well, like chlorophyll fluorescence, soil moisture content and evapotranspiration. New modelling approaches including models with fully coupled atmosphere, vegetation and soil matrices led to improved interpretations of the spectral and spatio-temporal variability of RS signals including those of atmospheric aerosols and water vapour.
This session solicits for papers presenting methodologies and results leading to the assimilation in biogeoscience and atmospheric models of cited RS variables as well as data measured in situ for RS validation purposes. Contributions should preferably focus on topics related to climate change, food production (and hence food security), nature preservation and hence biodiversity, epidemiology, and atmospheric chemistry and pollution (stratospheric and troposphere ozone, nitrogen oxides, VOC’s, etc). It goes without saying that we also welcome papers focusing on the assimilation of remote sensing and in situ measurements in bio-geophysical and atmospheric models, as well as the RS extraction techniques themselves.
This session aims to bring together scientists developing remote sensing techniques, products and models leading to strategies with a higher (bio-geophysical) impact on the stability and sustainability of the Earth’s ecosystems.

Public information:
BG2.7
Remote Sensing applications in the Biogeosciences

Chairperson: Frank Veroustraete & Willem Verstraeten
10:45
Welcome
1
D530 | EGU2020-5174
10:50
Potential of LiDAR for species richness prediction at Mount Kilimanjaro
Alice Ziegler and the Research Group at the Kilimanjaro
2
D512 | EGU2020-288
10:57
Understanding wetland dynamics using geostatistics of multi-temporal Earth Observation datasets
Manudeo Narayan Singh and Rajiv Sinha
3
D515 | EGU2020-5421
11:04
Twelve years of SIFTER Sun-Induced Fluorescence retrievals from GOME-2 as an independent constraint on photosynthesis across continents and biomes
Maurits L. Kooreman, K. Folkert Boersma, Erik van Schaik, Anteneh G. Mengistu, Olaf N. E. Tuinder, Piet Stammes, Gerbrand Koren, and Wouter Peters
4
D516 | EGU2020-6674
11:11
Evaluation of understory LAI estimation methodologies over forest ecosystem ICOS sites across Europe
Jan-Peter George Jan Pisek and the Tobias Biermann (2), Arnaud Carrara (3), Edoardo Cremonese (4), Matthias Cuntz (5), Silvano Fares (6), Giacomo Gerosa (7), Thomas Grünwald (8) et al.
5
D517 | EGU2020-8263
11:18
Probing the relationship between formaldehyde column concentrations and soil moisture using mixed models and attribution analysis
Susanna Strada, Josep Penuelas, Marcos Fernández Martinez, Iolanda Filella, Ana Maria Yanez-Serrano, Andrea Pozzer, Maite Bauwens, Trissevgeni Stavrakou, and Filippo Giorgi
6
D518 | EGU2020-9071
11:25
Validation of seasonal time series of remote sensing derived LAI for hydrological modelling
Charlotte Wirion, Boud Verbeiren, and Sindy Sterckx
7
D519 | EGU2020-12000
11:32
Potassium estimation of cotton leaves based on hyperspectral reflectance
Adunias dos Santos Teixeira, Marcio Regys Rabelo Oliveira, Luis Clenio Jario Moreira, Francisca Ligia de Castro Machado, Fernando Bezerra Lopes, and Isabel Cristina da Silva Araújo
8
D528 | EGU2020-4418
11:39
Comparison of the Photochemical Reflectance Index and Solar-induced Fluorescence for Estimating Gross Primary Productivity
Qian Zhang and Jinghua Chen
9
D529 | EGU2020-4582
11:46
Weed-crop competition and the effect on spectral reflectance and physiological processes as demonstrated in maize
Inbal Ronay, Shimrit Maman, Jhonathan E. Ephrath, Hanan Eizenberg, and Dan G. Blumberg
10
D531 | EGU2020-6059
11:53
Remote sensing-aid assessment of wetlands in central Malawi
Emmanuel Ogunyomi, Byongjun Hwang, and Adrian Wood
12:00
Open discussion
12:30
End morning session

Chat time: Wednesday, 6 May 2020, 14:00–15:45
Chairperson: Willem Verstraeten Frank Veroustraete
14:00
Welcome back!
1
D534 | EGU2020-10014
14:05
On the surface apparent reflectance exploitation: Entangled Solar Induced Fluorescence emission and aerosol scattering effects at oxygen absorption regions
Neus Sabater, Pekka Kolmonen, Luis Alonso, Jorge Vicent, José Moreno, and Antti Arola
2
D536 | EGU2020-15832
14:12
Evaluating the impact of different spaceborne land cover distributions on isoprene emissions and their trends using the MEGAN model.
Beata Opacka, Jean-François Müller, Jenny Stavrakou, Maite Bauwens, and Alex B. Guenther
3
D537 | EGU2020-10633
14:19
Application of Copernicus Global Land Service vegetation parameters and ESA soil moisture data to analyze changes in vegetation with respect to the CORINE database
Hajnalka Breuer and Amanda Imola Szabó
4
D538 | EGU2020-13332
14:26
How valuable are citizen science data for a space-borne crop growth monitoring? – The reliability of self-appraisals
Sina C. Truckenbrodt, Friederike Klan, Erik Borg, Klaus-Dieter Missling, and Christiane C. Schmullius
5
D539 | EGU2020-18493
14:33
Learning main drivers of crop dynamics and production in Europe
Anna Mateo Sanchis, Maria Piles, Julia Amorós López, Jordi Muñoz Marí, and Gustau Camps Valls
6
D540 | EGU2020-19003
14:40
Modelling understory light availability in a heterogeneous landscape using drone-derived structural parameters and a 3D radiative transfer model
Dominic Fawcett, Jonathan Bennie, and Karen Anderson
7
D543 | EGU2020-5151
14:47
Global assimilation of ocean-color data of phytoplankton functional types: Impact of different datasets
Lars Nerger, Himansu Pradhan, Christoph Völker, Svetlana Losa, and Astrid Bracher
8
D544 | EGU2020-5251
14:53
PROSPECT-PRO: a leaf radiative transfer model for estimation of leaf protein content and carbon-based constituents
Jean-Baptiste Féret, Katja Berger, Florian de Boissieu, and Zbyněk Malenovský
9
D547 | EGU2020-13447
15:00
Inverting a comprehensive crop model in parsimonious data context using Sentinel 2 images and yield map to infer soil water storage capacity.
André Chanzy and Karen Lammoglia
10
D550 | EGU2020-18798
15:07
Study on The Extraction Method and Spatial-temporal Characteristics of Irrigated Land in Zhangjiakou City
Zijuan Zhu, Lijun Zuo, Zengxiang Zhang, Xiaoli Zhao, Feifei Sun, and TianShi Pan
11
D551 | EGU2020-19953
15:14
Remote sensing and GIS based ecological modelling of potential red deer habitats in the test site region DEMMIN (TERENO)
Amelie McKenna, Alfred Schultz, Erik Borg, Matthias Neumann, and Jan-Peter Mund
15:21
Open discussion
15:45
End afternoon session

This session is open to all contributions in biogeochemistry and ecology where stable isotope techniques are used as analytical tools, with a focus on stable isotopes of light elements (C, H, O, N, S, ...). We welcome studies from both terrestrial and aquatic (including marine) environments as well as methodological and experimental, theoretical and modeling studies that introduce new approaches or techniques (including natural abundance work, labeling studies, multi-isotope approaches, clumped and metal isotopes).

Assessing and mitigating the environmental impacts of solid waste is critical to develop sustainable waste management strategies. Solid waste deposits from the extractive industry, i.e. extractive waste (EW), and municipal solid waste (MSW) landfills can be an environmental threat through groundwater or surface water contamination in addition to the human health risks they might pose. Furthermore, MSW landfills account for 5% of the anthropogenic methane production worldwide.
In line with Europe’s Circular Economy Action Plan, several strategies emerged aiming for sustainability regarding the use of natural resources, a responsible consumption/production, dynamic landfill management (DLM) and, mainly for EW, the recovery/reuse of waste produced during exploitation and processing activities. These include the reduction of emissions through control of microbial activity, sustainable mining and recovery of raw materials and energy, the rehabilitation of the occupied land among others. Yet, the controlling mechanisms of microbial activity and other degrading processes in waste are largely unknown, and traditional methods based on the analysis of samples generally lack the required resolution for an adequate characterization of biogeochemical processes. Hence, there is a big demand of innovative techniques for the characterization and monitoring of EW and MSW disposal sites. In particular, reliable information about the composition and geometry of waste depositions, as well as about their biogeochemical status is needed. Geophysical methods are well suited to fulfill these requirements as they can provide real-time information about subsurface physical properties in a non-invasive way and with high resolution in space and time.
The main topics to be discussed in this session deal with the use of innovative methods, including, but not limited to, geophysical approaches for:
- Characterization and monitoring of MSW and of EW from quarries and mines.
- Case studies for the detection and assessment of environmental pollution associated to the disposal of solid waste.
- Evaluation of the risks associated with the management of waste and integrated approaches towards sustainable mining,
- Innovative technologies to exploit EW facilities and to improve the systematic recovery of waste flows. Case studies related to the recovery of EW from quarrying and mining activities, including valorization as construction materials.

Public information:
Please, consider to attend the session ERE1.4: The Environment and Smart Circular Economy and Cities: A New Geo management Approach. During the chat time it will be possible to interact with the Coordinator of the COST Action CA17133 Circular City Implementing nature based solutions for creating a resourceful circular city.

The conveneers are arranging one or more special issue on scientific journals. you'll be alerted about the opening of the submission phase.

In an urbanizing world with major land-use changes, both human (social and economic) and natural systems and their environmental challenges and constraints need to be considered in order to achieve sustainable urban development. Nature‐based solutions (NBS) in urban areas can make anthropogenic landscapes more ecosystem-compatible, enhancing ecosystem services, preserving biodiversity, mitigating land degradation, and increasing urban resilience to environmental changes. Maintaining and restoring ecosystems and green–blue areas within urban regions is important for a) increasing the well‐being of urban populations, b) providing multifunctional services, such as storm water mitigation and local climate regulation, c) improving energy efficiency of buildings, and d) mitigating carbon emissions. Implementing NBS in urban areas is of growing importance worldwide, and particularly in the EU political agenda, as a way to attain some of the Sustainable Development Goals (e.g. Sustainable cities and communities), and to reinforce the New Urban Agenda. Implementing efficient NBS in urban landscapes requires integrated and interdisciplinary approaches.

This session aims to enhance the scientific basis for sustainable urban development and resilience and advance knowledge of innovative nature-based approaches to face environmental changes (e.g. in land use and climate) and simultaneously provide better understanding of associated social-ecological interactions. This session seeks to:

• Better understanding of advantages and disadvantages of NBS in Urban environments;
• New methods and tools to investigate the role of NBS in the context of environmental change, in particular the effectiveness of NBS in enhancing urban resilience;
• New insights and perspectives of NBS, particularly their role in providing urban ecosystem services, such as storm water regulation and reducing greenhouse gas emissions;
• Identifying opportunities for and barriers to implement NBS, driven by current regulatory frameworks and management practices - and how the former can be reaped and the latter overcome;
• Presenting overviews and case studies of NBS projects that also involve the private sector and market-based mechanisms;
• Interactions between NBS and the Sustainable Development Goals (SDGs);
• Approaches for integrating actors involved in landscape design and urban planning.

Human interaction with the environment has gone through several stages of evolution. Being a product of the natural evolution of living organisms in the biosphere, Homo sapiens as a species has evolved in the geochemical conditions of the virgin biosphere. The rapid development of intellectual abilities of this genus allowed, first, to survive in adverse environmental conditions around the whole world, then, to cultivate the land, transform the entire system of biocenoses, and now to create a new habitat for man exclusively. The result was a significant geochemical transformation of the virgin biosphere, but a kind of punishment for the achieved progress was the emergence of a number of endemic diseases of a geochemical nature. Nowadays a variety of anthropogenic sources of pollution and their location in various natural geochemical conditions require not only constant monitoring of the chemical state of soil, water, air and food products, but also the development of spatially differentiated approaches to assessing the risk of provoked diseases. To solve this problem it is necessary concertedly interpreting a geochemical and medical information in order to assess the risks to human health associated with modern natural and anthropogenic geochemical features in urban and rural habitats. During session we propose to discuss:
1) global trends of health transformation in new geochemical environment of modern noosphere;
2) criteria for determining pollution level depending on environmental and geochemical constrains;
3) new approaches to assess the risk of diseases of geochemical nature in different countries;
4) the problem of mapping the risk zones, related to negative medical effects due to deficiency or excess of certain chemical elements or compounds.
Session co-sponsored by the European Association of Geochemistry.

Public information:
Human interaction with the environment has gone through several stages of evolution. Man as a species first survived in adverse environmental conditions around the world, then he began to cultivate the land, exploit other species and develop industry, changing the structure and composition of natural ecosystems, and now creates a new habitat exclusively in accordance with his own requirements. This activity leads to significant chemical pollution of the environment at the local, and in some cases at the regional level, which leads to disruption of natural food chains. This process is followed by the negative biological reactions of living organisms, including the man himself. These reactions and, in particular, endemic diseases of a geochemical nature can be regarded as a kind of punishment for the progress made. Emerging environmental problems require not only constant monitoring of the chemical state of soil, water, air and food products and identification of anthropogenic induced negative reactions, but also the development of spatially differentiated approaches to assessing the risk of triggered negative reactions and diseases. During our session, we will discuss:
1) global trends in health status in the new geochemical environment of the modern noosphere (the anthropogenic stage of biosphere evolution);
2) methods and criteria for determining the level of environmental pollution by metals, pesticides, radionuclides and pharmaceutical substances;
3) new approaches to assessing the risk of pollution and diseases of a geochemical nature in different countries;
4) the problems of identifying and mapping risk zones.
We kindly invite all interested parties to our session.

There are many ways in which machine learning promises to provide insight into the Earth System, and this area of research is developing at a breathtaking pace. If unsupervised, supervised as well as reinforcement learning can hold this promise remains an open question, particularly for predictions. Machine learning could help extract information from numerous Earth System data, such as satellite observations, as well as improve model fidelity through novel parameterisations or speed-ups. This session invites submissions spanning modelling and observational approaches towards providing an overview of the state-of-the-art of the application of these novel methods.

Accurate and precise atmospheric measurements of greenhouse gas (GHG) concentrations reveal the rapid and unceasing rise of global GHG concentrations due to human activity. The resulting increases in global temperatures, sea-level, glacial retreat, and other negative impacts are clear. In response to this evidence, nations, states, and cities, private enterprises and individuals have been accelerating GHG reduction efforts while meeting the needs of global development. The urgency, complexity and economic implications of GHG reductions demand strategic investment in science-based information for planning and tracking emission reduction policies and actions. In response, the World Meteorological Organization (WMO) Global Atmosphere Watch Program (GAW) and its partners have initiated the development of an Integrated Global Greenhouse Gas Information System (IG3IS). IG3IS combines atmospheric GHG concentration measurements and human-activity data in an inverse modeling framework to help decision-makers take better-informed action to reduce emissions of greenhouse gases and pollutants that reduce air quality. This service is based on existing and successful measurement and analysis methods and use-cases for which the scientific and technical skill is proven or emerging.

This session intends to gather presentations from researchers and decision-makers (user-community) on the development, implementation and use of atmospheric measurement-based “top-down” and data-driven “bottom-up” GHG emission inventory estimates, and the combination of both approaches, explicit in space and time, to deliver actionable emissions information at scales where human activity occurs and emission reduction is most effective. This session will also showcase the new projects and efforts to develop “good-practice” standards under the World Meteorological Organization (WMO) Integrated Global Greenhouse Gas Information System (IG3IS), which is part of WMO’s commitment to science-based services.

Remote sensing techniques are widely used to monitor the relationship between the water cycle and vegetation dynamics and its impact on the carbon and energy cycles. Measurements of vegetation water content, transpiration and water stress contribute to a better global understanding of the water movement in the soil-plant system. This is critical for the detection and monitoring of droughts and their impact on biomass, productivity and feedback on water, carbon and energy cycles. With the number of applications and (planned) missions increasing, this session aims to bring researchers together to discuss the current state and novel findings in the remote observation of the interactions between vegetation and hydrology. We aim to (1) discuss novel research and findings, (2) exchange views on what should be done to push the field forward, and (3) identify current major challenges.

We encourage authors to submit presentations on:
• Remote sensing data analyses,
• Modelling studies,
• New hypothesis,
• Enlightening opinions.

Public information:
Dear colleagues,

The chat session on Remote sensing of interactions between vegetation and hydrology​ will be organized according to four topics:
Monitoring of vegetation and hydrology interactions with radar
Phenology dynamics and its relation to hydrological variables
Impact of land cover on vegetation and hydrology
The use and development of indices for monitoring vegetation and water stress

More information on the presenters and moderators per topic can be found in the session materials.
We hope to meet you all in the online chat!

Best Regards,
Tim, Julia, Brianna, Virginia and Mariette

During the passage of precipitation through the soil-plant-atmosphere interface, water and solutes are redistributed by the plant canopy and subsurface flow and transport processes. Many of these dynamic interactions between vegetation and soil are not yet well understood. This session brings together the vibrant community addressing a better understanding of ecohydrological processes taking place between the canopy and the root zone. Innovative methods investigating throughfall, stemflow, hydraulic redistribution, and root water uptake in various environments shed light on how water and solutes are routed in the thin layer covering the terrestrial ecosystems. The session further covers open questions and new opportunities within the ecohydrological community regarding methodological developments such as the analysis of stable isotope, soil moisture, throughfall or solute dynamics.
Invited Speakers:
Christiane Werner, University of Freiburg, Germany
Alexandra Ponette-González, University of North Texas, USA

Methane is an important greenhouse gas that has contributed ∼25% of the radiative forcing experienced to date. Despite methane’s short atmospheric lifetime (~10 years), global methane concentrations have grown more than three times faster than carbon dioxide since the industrial revolution. This makes methane emission mitigation an effective way to reduce the short-term rate of warming. In contrast to carbon dioxide, anthropogenic methane emissions originate from a large variety and number of diffuse point sources that are mostly independent of combustion processes. As a result, systematic atmospheric measurements are needed to inform emission inventories and mitigation strategies.

This session will highlight research that focuses on methane emissions from human activities (e.g., fossil fuel infrastructure, fire, rice production, ruminants, landfills and waste). Particular emphasis is on studies collecting atmospheric observations at different spatio-temporal scales with the aim to (1) reduce the uncertainty in the measured magnitude of emissions, (2) identify source-specific emission patterns and mitigation opportunities, and (3) inform stakeholders, such as regulators and industry representatives, on mitigation pathways.

Mercury (Hg) is a toxic global pollutant of great environmental concern. The UNEP Minamata convention on mercury, a legally-binding international treaty aiming to reduce negative impacts of Hg on the environment, has entered into force in 2017. Anthropogenic activities have altered the global Hg cycle to a great extent and many ecosystems are threatened by exposure to elevated levels of Hg and its different species. For instance, neurotoxic and bioaccumulating methyl-Hg is formed under the influence of anaerobic microorganisms in a variety of natural systems but the controls on this key process are still far from being understood. Further active Hg research areas include exchange processes at the atmosphere-soil-plant interface and their importance for understanding atmospheric Hg deposition, the behavior and long-term fate of Hg at contaminated sites, as well as global cycling models assessing the evolution of historic Hg fluxes from different natural and anthropogenic sources. In the past few years, a number of novel research tools based on microbiological, spectroscopic, isotopic, and modelling techniques have been developed to improve our understanding of Hg cycling in the environment. This session presents new contributions on present-day Hg cycling in the environment using field-based, experimental, and/or modelling approaches on local to global scales, as well as contributions focusing on long- and short-term reconstruction of Hg as a pollutant over time using natural archives such as ice-cores, tree-rings, lake sediments and peat bogs. We particularly welcome research addressing the effects of the implementation of the Minamata convention on mercury levels in the environment and new approaches to assess its effectiveness.

The development and functions of ecosystems and their responses to environmental drivers are inherently long-term processes that need to be studied along gradients in time and space. Global anthropogenic drivers of change interact with natural processes, causing uncertainties, tipping points and potential crises in system behaviour. Further, most ecosystem services are strongly interlinked and require a multi- and transdisciplinary approach that allows for the simultaneous analysis of multiple processes and feedbacks. The environmental drivers affecting one domain are also easily reflected in other domains. Considering the current extensive land use changes and climate change, integrated studies where aquatic and terrestrial ecosystems are studied in combination are urgently required. The sites and platforms of the long-term ecosystem, critical zone and socio-ecological research networks and research infrastructures (ILTER, eLTER) distributed around the globe offer a unique tool for this, while coupled ecosystem-scale experimentation (AQUACOSM) can further strengthen the hypothesis testing.

This session focuses on research performed at sites and platforms implementing a whole system approach, also cross the terrestrial and aquatic domains. Emphasis will be on results presenting long-term changes and responses of ecosystem and socio-ecological processes to environmental drivers, as well as ecosystem-scale experiments (mesocosms) and observations scaling up from sites to larger regions up to the continental level.

We welcome studies linking biodiversity loss, climate change, and other anthropogenic pressures to ecosystems. We encourage contributions using interdisciplinary and multidisciplinary approaches, addressing relationships among different ecosystem compartments (vegetation, soils, waters etc.) or between ecological and social systems, as well as transdisciplinary studies that incorporate diverse forms of knowledge beyond the scientific community.

This session is linked to the Pan-Eurasian EXperiment (PEEX; www.atm.helsinki.fi/peex), a multi-disciplinary, -scale and -component climate change, air quality, environment and research infrastructure and capacity building programme. It is aimed at resolving major uncertainties in Earth system science and global sustainability issues concerning the Arctic, Northern Eurasia and China regions. This session aims to bring together researchers interested in (i) understanding environmental changes effecting in pristine and industrialized Pan-Eurasian environments (system understanding); (ii) determining relevant environmental, climatic, and other processes in Arctic-boreal regions (process understanding); (iii) the further development of the long-term, continuous and comprehensive ground-based, air/seaborne research infrastructures together with satellite data (observation component); (iv) to develop new datasets and archives of the continuous, comprehensive data flows in a joint manner (data component); (v) to implement validated and harmonized data products in models of appropriate spatio-temporal scales and topical focus (modeling component); (vi) to evaluate impact on society though assessment, scenarios, services, innovations and new technologies (society component).
List of topics:
• Ground-based and satellite observations and datasets for atmospheric composition in Northern Eurasia and China
• Impacts on environment, ecosystems, human health due to atmospheric transport, dispersion, deposition and chemical transformations of air pollutants in Arctic-boreal regions
• New approaches and methods on measurements and modelling in Arctic conditions;
• Improvements in natural and anthropogenic emission inventories for Arctic-boreal regions
• Physical, chemical and biological processes in a northern context
• Aerosol formation-growth, aerosol-cloud-climate interactions, radiative forcing, feedbacks in Arctic, Siberia, China;
• Short lived pollutants and climate forcers, permafrost, forest fires effects
• Carbon dioxide and methane, ecosystem carbon cycle
• Socio-economical changes in Northern Eurasia and China regions.
PEEX session is co-organized with the Digital Belt and Road Program (DBAR), abstracts welcome on topics:
• Big Earth Data approaches on facilitating synergy between DBAR activities & PEEX multi-disciplinary regime
• Understanding and remote connection of last decades changes of environment over High Asia and Arctic regions, both land and ocean.

Earth Systems Models aim at describing the full water- and energy cycles, i.e. from the deep ocean or groundwater across the sea or land surface to the top of the atmosphere. The objective of the session is to create a valuable opportunity for interdisciplinary exchange of ideas and experiences among members of the Earth System modeling community and especially atmospheric-hydrological modelers.
Contributions are invited dealing with approaches how to capture the complex fluxes and interactions between surface water, groundwater, land surface processes, oceans and regional climate. This includes the development and application of one-way or fully-coupled hydrometeorological prediction systems for e.g. floods, droughts and water resources at various scales. We are interested in model systems that make use of innovative upscaling and downscaling schemes for predictions across various spatial- and temporal scales. Contributions on novel one-way and fully-coupled modeling systems and combined dynamical-statistical approaches are encouraged. A particular focus of the session is on weakly and strongly coupled data assimilation across the different compartments of the Earth system for the improved prediction of states and fluxes of water and energy. Merging of different observation types and observations at different length scales is addressed as well as different data assimilation approaches for the atmosphere-land system, the land surface-subsurface system and the atmosphere-ocean system. The value of different measurement types for the predictions of states and fluxes, and the additional value of measurements to update states across compartments is of high interest to the session. We also encourage contributions on use of field experiments and testbeds equipped with complex sensors and measurement systems allowing compartment-crossing and multi-variable validation of Earth System Models.