The world's energy, water, and land systems are in transition and rapidly integrating, driven by forces such as socioeconomic, demographic, climatic, and technological changes as well as policies intended to meet Sustainable Development Goals (SDGs) and other societal priorities. These dynamics weave across spatial scales, connecting global markets and trends to regional and sub-regional economies. At the same time, resources are often locally managed under varying administrative jurisdictions closely tied to inherent characteristics of each commodity such as river basins for water, grid regions for electricity and land-use boundaries for agriculture. Local decisions in turn are critical in deciding the aggregate success and consequences of national and global policies. Thus, there is a growing need to better characterize the energy-water-land nexus to guide robust and consistent decision making across these scales. This session invites abstracts exploring energy-water-land dynamics, trade patterns, policy interventions, infrastructure planning and uncertainty characterization across variable spatial boundaries.

Weather and climate services involve the production, translation, transfer, and use of scientific information for decision-making. They include long term climate projections, monthly to seasonal forecasts and daily weather forecasts. They are particularly useful (i) for several climate sensitive sectors such as agriculture, water resources, health, energy, disaster risk reduction and (ii) in developing countries where vulnerability to climate change and weather shocks is high. This interdisciplinary session aims at showing tools, results, methodologies that could lead in fine to an operational improvement of WCS in developing countries. It focuses not only on models improvement but also on how to interact with end-users, assess WCS added value, broadcast information, avoid inequalities access, involve the private sector etc. The session will focus particularly on feedbacks and results from different case studies located in the global South.

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.

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) 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 or other innovative approaches such as predictive models aiming to quantify disaster resilience. We particularly encourage presentations on 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.

Public information:
During the live chat we will go through all displays that have been uploaded in order of appearance. To decrease confusion during the chat session, we will discuss the displays one by one and have an overall discussion at the end. Authors will provide a short summary of their work, followed by 5 minutes during which all participants can read/listen to the presentation materials and another 5 minutes (max.) for questions to the authors. We will close the session with a joint discussion on the challenges and opportunities related to resilience to natural hazard studies.

The International Monitoring System (IMS) of the Comprehensive Nuclear-Test-Ban Treaty (CTBT) senses 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 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. Papers in this session address advances in the sensor technologies, new and historic data, data collection, data processing and analysis methods and algorithms, uncertainty analysis, machine learning and data mining, experiments and simulations including atmospheric transport modelling. This session also welcomes papers on applications of the IMS and OSI instrumentation data. This covers the use of IMS data for disaster risk reduction such as tsunami early warning, earthquake hazard assessment, volcano ash plume warning, radiological emergencies and climate change related monitoring. The scientific applications of IMS data establish another large range of topics, including acoustic wave propagation in the Earth crust, stratospheric wind fields and gravity waves, global atmospheric circulation patterns, deep ocean temperature profiles and whale migration. The use of IMS data for such purposes returns a benefit with regard to calibration, data analysis methods and performance of the primary mission of monitoring for nuclear explosions.

Citizen science (the involvement of the public in scientific processes) is gaining momentum across multiple disciplines, increasing multi-scale data production on biodiversity, earthquakes, weather, climate, health issues and food production, amongst others, that is extending the frontiers of knowledge. Successful participatory science enterprises and citizen observatories can potentially be scaled-up in order to contribute to larger policy strategies and actions (e.g. the European Earth Observation monitoring systems), for example to be integrated in GEOSS and Copernicus. Making credible contributions to science can empower citizens to actively participate as citizen stewards in decision making, helping to bridge scientific disciplines and promote vibrant, liveable and sustainable environments for inhabitants across rural and urban localities.
Often, citizen science is seen in the context of Open Science, which is a broad movement embracing Open Data, Open Technology, Open Access, Open Educational Resources, Open Source, Open Methodology, and Open Peer Review to transparently publish and share scientific research - thus leveraging Citizen Science and Reproducible Research. Both open science and citizen science pose great challenges for researchers to facilitate effective participatory science. To support the goals of the various Open Science initiatives, this session looks at what is possible and what is applied in geosciences. The session will showcase how various stakeholders can benefit from co-developed participatory research using citizen science and open science, acknowledging the drawbacks and highlighting the opportunities available, particularly through applications within mapping, technology, policy, economy, practice and society at large. Learning from bottom-up initiatives, other disciplines, and understanding what to adopt and what to change can help synergize scientific disciplines and empower participants in their own undertakings and new initiatives.

We want to ask and find answers to the following questions:
Which approaches can be used in Earth, Planetary and Space Sciences?
What are the biggest challenges in bridging between scientific disciplines and how to overcome them?
What kind of participatory citizen scientist involvement and open science strategies exist?
How to ensure transparency in project results and analyses?
What kind of critical perspectives on the limitations, challenges, and ethical considerations exist?

In this session, we invite contributions to explore diverse experiences with inter- and transdisciplinary research and practice, that is specifically applied in the mountain context. Taking mountains as complex social-ecological systems, they provide a concrete and spatially-defined contexts in which to explore how global change phenomena manifests and how it poses challenges and opportunities for communities and society in general.

Addressing societal concerns, and finding suitable solutions with regards to associated impacts of global change in mountains, requires and inter- and transdisciplinary (IT-TD) approach to research and practice. We invite contributions based on empirical research and/or practical experience with IT-TD, to critically reflect on these practices in the mountains context and learn from experiences that explicitly address societal grand challenges such as (but not limited to) climate change impacts and adaptation, transformations to sustainability, disaster risk reduction, or transitions to low carbon economies. We welcome contributions depicting research experiences in European mountain regions, other mountain regions around the world, as well as contributions from Early Career Researchers.

The session is led and coordinated by the Mountain Research Initiative (MRI) with expectations to be able to draw from this session as inputs for the formulation of future research agendas and coordination of research collaborations in mountain regions, worldwide.

www.mountainresearchinitiative.org

Public information:
In this session, we invite contributions to explore diverse experiences with inter- and transdisciplinary research and practice, that is specifically applied in the mountain context. Taking mountains as complex social-ecological systems, they provide a concrete and spatially-defined contexts in which to explore how global change phenomena manifests and how it poses challenges and opportunities for communities and society in general.

Addressing societal concerns, and finding suitable solutions with regards to associated impacts of global change in mountains, requires and inter- and transdisciplinary (IT-TD) approach to research and practice. We invite contributions based on empirical research and/or practical experience with IT-TD, to critically reflect on these practices in the mountains context and learn from experiences that explicitly address societal grand challenges such as (but not limited to) climate change impacts and adaptation, transformations to sustainability, disaster risk reduction, or transitions to low carbon economies. We welcome contributions depicting research experiences in European mountain regions, other mountain regions around the world, as well as contributions from Early Career Researchers.

The session is led and coordinated by the Mountain Research Initiative (MRI) with expectations to be able to draw from this session as inputs for the formulation of future research agendas and coordination of research collaborations in mountain regions, worldwide.

www.mountainresearchinitiative.org

Comprehensive studies to address ocean science issues require synergistic collaboration across the globe between many subdisciplines including science, engineering, environment, society and economics. However, it is a challenge to unify these aspects under a common program or study, and as such has been recognized as a main goal of the United Nations “Decade of Ocean Science for Sustainable Development (2021-2030)”. Consequently, this session will bring together early-career representatives from a wide range of subdisciplines to demonstrate the strength of an interdisciplinary and intercultural approach when addressing global concerns, such as the dynamic impacts of climate change, focusing on the North Atlantic region as an example.

Continuous and comprehensive data is crucial to our understanding of the ocean. Yet, developing the advanced tools and technologies required for long-term ocean monitoring is not merely an engineering problem, as the data produced by these instruments will have future environmental and socio-economic impacts. A comprehensive view of the ocean also requires an understanding of past conditions. Thus, this session will also include contributions from paleo-oceanography to link the past to the future. In this vein, we will discuss our attempts at transdisciplinary and transcultural collaboration and share what we have learned for future approaches.

We invite contributions from a wide range of enthusiasts, including those in the natural sciences (e.g. biology, physics), applied sciences (e.g. engineering and technology, business), humanities (e.g. law), and social sciences (e.g. economics, political science). We also invite contributions from educators and administrators who are interested in experimenting with novel methods of building and encouraging research within interdisciplinary and multicultural graduate school programs.

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

The Amazon forest is the world’s largest intact forest landscape. Due to its large biodiversity, carbon storage capacity, and role in the hydrological cycle, it is an extraordinary interdisciplinary natural laboratory of global significance. In the Amazon rain forest biome, it is possible to study atmospheric composition and processes, biogeochemical cycling and energy fluxes at the geo-, bio-, atmosphere interface under near-pristine conditions for a part of the year, and under anthropogenic disturbance of varying intensity the rest of the year. Understanding its current functioning at process up to biome level in its pristine and degraded state is elemental for predicting its response upon changing climate and land use, and the impact this will have on local up to global scale.
This session aims at bringing together scientists who investigate the functioning of the Amazon and comparable forest landscapes across spatial and temporal scales by means of remote and in-situ observational, modelling, and theoretical studies. Particularly welcome are also presentations of novel, interdisciplinary approaches and techniques that bear the potential of paving the way for a paradigm shift.

Documenting the diversity of human responses and adaptations to climate, landscapes, ecosystems, natural disasters and the changing natural resources availability in different regions of our planet, cross-disciplinary studies in human-landscape interaction provide valuable opportunities to learn from the past. This session is targeted at providing a platform for scientists with common interests in geomorphology and geoarchaeology and, in particular, the complex and integrated nature of the relationship between landforms, geomorphological processes and societies during the Anthropocene, and how this has developed over time at different spatial and temporal scales.

This session seeks related interdisciplinary papers and specific geomorphological or geoarchaeological case-studies that deploy various approaches and tools to address the reconstruction of former and present human-environmental interactions from the Palaeolithic period through the modern. Topics related to records of the Anthropocene from Earth and archaeological science perspectives are welcome. We are inviting contributions that focus on the two-way interactions between geomorphological processes/landforms and human activity. These should show how the various factors of the physical environment interact with the Anthroposphere, and, in turn, how population and individuals may affect (and change) these factors. Furthermore, contributions may include (but are not limited to) insights about how people have coped with environmental disasters or abrupt changes; defining sustainability thresholds for farming or resource exploitation; distinguishing the baseline natural and human contributions to environmental changes. In this context, topics of different fields may be addressed in the session such as landform evolution, landscape sensitivity and resilience in the overall context of the interrelation between geomorphology and society, geohazards, geoheritage and conservation, geomorphological responses to (and evidence for) environmental change, and applied geomorphology. Moreover, issues of scale and hierarchies may be addressed, and methods and applications of dynamic rather than equilibrium ideas and metaphors. Ultimately, we would like to understand how strategies of human resilience and innovation can inform our modern strategies for addressing the challenges of the emerging Anthropocene, a time frame dominated by human modulation of surface geomorphological processes and hydroclimate.

The Ancient Silk Road was one of the most important passages for trans-Eurasia exchange and human migration, which witnessed the rise and fall of ancient civilizations in Central Eurasia. In the central part of the Ancient Silk Road, where the climate condition is extremely dry and the ecosystem is very fragile. The climate and environment changes, especially the water resources change in this area, can significantly influence the spatio-temporal distribution of Ancient Silk Road network, the trans-Eurasia exchange and human migration along the Ancient Silk Road, and the civilization evolution of these ancient cities and towns among the Ancient Silk Road network. This session aims to explore the history of trans-Eurasia exchange, human migration, Ancient Silk Road network spatial change, civilization evolution and climate and environment change, as well as relationship among them in the areas along the Ancient Silk Road. We welcome presentations concerning these issues from multi-disciplinary perspectives, to promote the advancements of research in the field.

Public information:
Authors are kindly asked to upload display material by Sunday, 26th April, 2020, so that there is one week prior to the online chat for viewing the displays.

Program for the Live Chat on 4th May, 2020, 8.30 - 10.15 CEST (14:30–16:15 PM, Beijing)

14:20–14:30 PM, Beijing Sign in and introduction to session

1. D2537, EGU2020-21976（14:30-14:40 PM, Beijing）
Pollen-based quantitative land-cover reconstruction for northern Asia covering the last 40 ka
Xianyong Cao, Fang Tian, Furong Li, Marie-José Gaillard, Natalia Rudaya, Qinghai Xu, and Ulrike Herzschuh
2. D2539, EGU2020-3185（14:40-14:50 PM, Beijing）
An n-alkane-based Holocene climate reconstruction in the Altai Mountains, northern Xinjiang, China
Min Ran
3. D2542, EGU2020-6328（14:50-15:00 PM, Beijing）
Variation of bacterial communities in Muztagh ice core from 1869 to 2000
Yongqin Liu, Tandong Yao, and Baiqing Xu
4. D2549, EGU2020-13015（15:00-15:10 PM, Beijing）
Changes in the hydrodynamic intensity of Bosten Lake and its impact on early human settlement in the northeastern Tarim Basin, eastern Arid Central Asia
Haichao Xie
5. D2550, EGU2020-4601（15:10-15:20 PM, Beijing）
Holocene moisture variations in western arid central Asia inferred from loess records from NE Iran
Qiang Wang, Haitao Wei, Farhad Khormali, Leibin Wang, Haichao Xie, Xin Wang, Wei Huang, Jianhui Chen, and Fahu Chen
6. D2551, EGU2020-3196（15:20-15:30 PM, Beijing）
Holocene moisture variations in the Tianshan Mountains and their geographic coherency in the mid-latitude Eurasia: A synthesis of proxy records
Yunpeng Yang
7. D2553, EGU2020-5067（15:30-15:40 PM, Beijing）
Mid-late Holocene hydroclimate variation in the source region of the Yangtze River revealed by lake sediment records
Xiaohuan Hou, Lina Liu, Zhe Sun, Xianyong Cao, and Juzhi Hou
8. D2554, EGU2020-4965（15:40-15:50 PM, Beijing）
Late Holocene Varve Chronology and High-Resolution Records of Precipitation in the Central Tibetan Plateau
Kejia Ji, Erlei Zhu, Guoqiang Chu, and Juzhi Hou
9. D2555, EGU2020-3874（15:50-16:00 PM, Beijing）
The forced response of Asian Summer Monsoon precipitation during the past 1500 years
Zhiyuan Wang, Jianglin Wang, Jia Jia, and Jian Liu

Discussion and summery（16:00-16:15 PM, Beijing）

This session provides a platform for cross-disciplinary science that addresses the continuum of the river and its catchment to the coastal sea. We invite studies across geographical borders; from the source to the sea including groundwater, and across the freshwater-marine water transition. The session welcomes studies that link environmental and social science, address the impacts of climate change and extreme events, and of human activities on water and sediment quality and quantity, hydromorphology, biodiversity, ecosystem functioning and ecosystem services of River-Sea systems, and that provide solutions for sustainable management of the River-Sea social-ecological system.
We need to fully understand how River-Sea-Systems function. How are River-Sea-Systems changing due to human pressures? What is the impact of processes in the catchment on marine systems function, and vice versa? How can we discern between human-induced changes or those driven by natural processes from climate-induced variability and extreme events? What will the tipping points of socio-ecologic system states be and what will they look like? How can we better characterise river-sea systems from the latest generation Earth observation to citizen science based observatories. How can we predict short and long term changes in River-Sea-Systems to manage them sustainably? What is the limit to which it is possible to predict the natural and human-influenced evolution of River-Sea-Systems? The increasing demand to jointly enable intensive human use and environmental protection in river-sea systems requires holistic and integrative research approaches with the ultimate goal of enhanced system understanding.

Plastic pollution in freshwater systems is a widely recognized global problem with severe environmental risks. Besides the direct negative effects on freshwater ecosystems, freshwater plastic pollution is also considered the dominant source of plastic input into the oceans. However, research on plastic pollution has only recently expanded from the marine environment to freshwater systems, and therefore data and knowledge from field studies are still limited in regard to freshwater. This knowledge gap must be addressed to understand the dispersal and distribution of plastics and their fate in the oceans, as well as forming effective mitigation measures.

In this session, we explore the current state of knowledge and activities on (macro to micro) plastic in freshwater systems, including aspects such as:

• Plastic monitoring techniques;
• Case studies;
• Source to sink investigations;
• Transport processes of plastics in watersheds;
• Novel measurement approaches, such as citizen science or remote sensing;
• Modelling approaches for local and/or global river output estimations;
• Legislative/regulatory efforts, such as monitoring programs and measures against plastic pollution in freshwater systems.

Plastic contamination has been reported in all realms of the environment from the tropics to the polar oceans. Our poor knowledge of plastics sources, pathways and hot spots of accumulation prevents an assessment of risks to ecosystems and human health and the development of appropriate mitigation strategies. In order to understand current distributions of plastics and the way they evolve in space and time, much better observations and common consistent measuring methods are required but simultaneously, observations must be systematically combined with computational models
The session aims to set up a forum for multi-disciplinary discussions to create a global picture of plastic contamination in the environment and to suggest approaches for future research, monitoring and mitigation of plastic pollutions impacts. The session will provide a platform for discussions to advise policy and industry on the best ways to assess potential harm to the environment and human health from this contaminant.
This session will draw together research on plastic contamination across all sizes of plastics from shelf seas to the deep ocean including ice covered seas. The forum will facilitate combining observations with state-of-the-art computational modelling to promote the fast advance of research and improve our understanding of how plastic pollution affects environments worldwide. We invite contributions on field and remote observations, laboratory experiments, novel modelling approaches, related scientific initiatives and projects. New ideas for citizen-science involvement and for mitigation strategies to reduce plastic contamination of the environment are especially welcome.

There is no doubt that among many anthropogenic environmental stresses that are threatening the future of life on our planet, plastic pollution is one of the topics on top of the list. Since the beginning of the 21st century, there has been an accelerating trend in the research concerning the detection of microplastics and their negative impacts on the aquatic ecosystems and marine environments. However, studies concerning the role of plastics in polluting the terrestrial ecosystems, soils and plants are limited and numerous questions still need to be addressed.
The aim of this session is to bring together contributions on novel measurement techniques or analytical approaches to observe, detect or quantify plastics in soil-plant systems in any observational or process scales. Any studies highlighting how nano and microplastics accumulate or are transported in soil, contaminate groundwater, change chemical properties of the soil, affect soil biota or is adsorbed by plants roots are welcome. Presentations addressing how microplastics alter the rhizosphere condition by affecting the biological, chemical and physical properties of the soil are appreciated. One main purpose of this session is to gather researchers from the related disciplines to exchange experiences and finding innovative solutions for the current unknown problems and highlight the future research needs of the potential impacts of microplastics on soils and plants.

Last year sessions ITS6.1-3 on urban geosciences have largely confirmed the urgency to develop inter-/trans-disciplinary approaches of urban geosciences to respond to the huge societal demand to radically improve urban systems and their interactions with their environment and climate. The session ITS.6.1 focussed on the need to develop holistic approaches going beyond specialised domains such as urban meteorology, hydrology, climatology, ecology and resilience to grasp the urban-geophysical systems in their multi-component and multiscale complexity. This in particular indispensable to resolve long lasting questions like multi-hazard threats and upscaling of climate solutions. The recent IPCC report 1.5°C confirms the necessity to fully take into account the multi-component complexity of the urban-geophysical systems to achieve the urban and infrastructure transition, one of the main four system transitions to be achieved

The present session calls therefore for contributions on the development transdisciplinary concepts, methodologies and tools, as well as their applications to urban-geophysical systems in view of this transition. Jean Jouzel (former IPCC vice-president) will open this session.

Public information:
ITS2.10 invites you to actively participate (audio and/or pdf slide sharing) to the Great Debate: "Epidemics, Urban Systems and Geosciences"
Monday 4 May, 12:30-14:00 ECT
e-room COVID-19 https://vmi270945.contaboserver.net/b/pau-guy-rwr
(no app to upload, just click on this link).

This debate is focused on a major upset of the geosciences agenda, particularly those dealing with urban systems so that they contribute more to well-being and health. This great debate will be an opportunity to take stock and open up perspectives, particularly on epidemics and mobility, the dynamics of Covid-19, cities, health and geosciences

Do not miss the opportunity to e-debate with:
Theo Geisel (Max Planck Institute, Göttingen)
Jacques Demongeot (Université Grenoble Alpes)
Mark J. Nieuwenhuijsen (Institute for Global Health, Barcelona)

This debate is a follow-up of ITS2.10 and is organised with the UNESCO UniTwin CS-DC (Complex Systems Digital Campus).

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.

Volcanic emission can have a strong impact on the Earth’s radiation budget and climate over a range of temporal and spatial scales, depending on the activity type (passive degassing and small magnitude to strong explosive eruptions).
It is now well known that strong explosive volcanic eruptions are a major natural driver of climate variability at interannual to multidecadal time scales. Assessment of volcanically-forced climate variability is complicated by many limiting factors, including the paucity of observed eruptions, uncertainties in volcanic forcing datasets for the current and pre-instrumental periods, limitations of proxy-based climate evidence, uncertainties of global aerosol model simulations and the apparent large inconsistencies in the responses to volcanic forcing simulated by current climate models. Quiescent passive degassing and smaller-magnitude eruptions on the other hand can impact on regional climate system. In addition, volcanic emissions may influence local-to-regional air quality, seriously affect the biosphere and environment, and the release of gas from soil may pose long-term health hazards. This session focuses on new results from integrative research on the climatic, environmental and societal impacts of the volcanic activity, including eruptions of Pinatubo-magnitude and larger, volcanic degassing and small eruptions.

We aim to highlight contributions conducted under the umbrella of the CMIP6 and in particular VolMIP activity that explore the responses of the coupled ocean-atmosphere system to volcanic forcing, from the characterization of the mechanism of volcanically-forced climate variability and on the potential role of volcanic eruptions on future climate variability and predictability by means of observations, climate reconstruction studies and modeling approaches. We also welcome contributions conducted under PAGES-VICS activities from research aimed at better understanding volcanic impacts on historical and modern societies. We also invite contribution to the current international SPARC-SSiRC program, observational and modelling studies of the 2019 Raikoke aerosol cloud and from recent field campaigns. We further invite new results from H2020 transnational accesses to volcanic platforms and cross-studies coupling volcanology/atmospheric/health hazards, aspects of volcanic plumes science, their observation, modelling and impacts.

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.

High-impact climate and weather events typically result from the interaction of multiple hazards across various spatial and temporal scales. These events, also known as 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.

The European COST Action DAMOCLES coordinates these efforts by building a research network consisting of climate scientists, impact modellers, statisticians, and stakeholders. This session creates a platform for this network and acts as an introduction of the work related to DAMOCLES to the research community.

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 climate 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?

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.

Several subsystems of the Earth system have been suggested to react abruptly at critical levels of anthropogenic forcing. Well-known examples of such Tipping Elements include the Atlantic Meridional Overturning Circulation, the polar ice sheets and sea ice, tropical and boreal forests, as well as the Asian monsoon systems. Interactions between the different Tipping Elements may either have stabilizing or destabilizing effects on the other subsystems, potentially leading to cascades of abrupt transitions. The critical forcing levels at which abrupt transitions occur have recently been associated with Tipping Points.

It is paramount to determine the critical forcing levels (and the associated uncertainties) beyond which the systems in question will abruptly change their state, with potentially devastating climatic, ecological, and societal impacts. For this purpose, we need to substantially enhance our understanding of the dynamics of the Tipping Elements and their interactions, on the basis of paleoclimatic evidence, present-day observations, and models spanning the entire hierarchy of complexity. Moreover, to be able to mitigate - or prepare for - potential future transitions, early warning signals have to be identified and monitored in both observations and models.

This interdisciplinary session invites contributions that address Tipping Points in the Earth system from the different perspectives of all relevant disciplines, including

- the mathematical theory of abrupt transitions in (random) dynamical systems,
- paleoclimatic studies of past abrupt transitions,
- data-driven and process-based modelling of past and future transitions,
- early-warning signals
- the implications of abrupt transitions for Climate sensitivity and response,
- ecological and societal impacts, as well as
- decision theory in the presence of uncertain Tipping Point estimates

Confirmed invited speaker: Michael Ghil

Climate change is projected to result in an increase in extreme and compound weather events, which pose a growing threat to human well-being and the achievement of the UN Sustainable Development Goals (SDGs). Further warming is also projected to reduce the efficacy of carbon sinks acting as negative feedbacks on warming and increase the risk of crossing tipping points and triggering cascading changes in the climate and ecosystems. These processes may reduce the Earth system’s resilience, which has the potential to further amplify climate change and extremes and worsen societal impacts.

Maintaining Earth in the Holocene-like conditions that have enabled the development of the world’s societies will require better understanding of feedbacks and tipping dynamics in both the human world and the biophysical Earth. Societies will need to embark on rapid socio-economic and governance transformations in order to both reduce the risk of triggering tipping points and to improve societal resilience to increasingly likely extreme events. Earth resilience brings the complex dynamics and perturbations associated with human activities into Earth system analysis, and increasingly captures socio-economic as well as biophysical dynamics.

In this session we welcome transdisciplinary and cross-scale contributions relating to climate extremes, tipping dynamics, and Earth resilience, covering topics ranging from the cascading impacts of extreme and compound events, key feedbacks and tipping points in both biophysical and human systems, enhancing societal resilience to extreme events, and the potential for rapid social transformations to global sustainability.

Public information:
EGU 2020 Session TS3.2/NH10.7
Climate Extremes, Tipping Dynamics, and Earth Resilience in the Anthropocene
6 May, 14:00-18:00

This session will run as an EGU website hosted text-based chat accessible here, as well as through a simultaneous Zoom video room (link to be provided during the livechat).

Both the EGU chatroom and the Zoom video room will be moderated.
Comments on the presentations can be made at the EGU website at any time, for asynchronous responses.
Comments and questions asked in the EGU chatroom will be forwarded to the Zoom presenters. This means all questions will get responses, but this may not happen within the timeslot of the presentation.
To facilitate real-time dialogue with the presenters, please go to the Zoom session.

When joining the Zoom session remember to mute yourself, and to ask questions please raise your hand (available from the 'participants' button) and unmute when the chair calls on you. If you are a presenter, unmute when called on and share your screen if you have a few slides to show. Each presenter gets 10 minutes max including Q&A, so we suggest presenting some summary slides for a few minutes and then taking questions for the rest.

This session aims to bring together researchers working with big data sets generated from monitoring networks, extensive observational campaigns and detailed modeling efforts across various fields of geosciences. Topics of this session will include the identification and handling of specific problems arising from the need to analyze such large-scale data sets, together with methodological approaches towards semi or fully automated inference of relevant patterns in time and space aided by computer science-inspired techniques. Among others, this session shall address approaches from the following fields:
• Dimensionality and complexity of big data sets
• Data mining in Earth sciences
• Machine learning, deep learning and Artificial Intelligence applications in geosciences
• Visualization and visual analytics of big and high-dimensional data
• Informatics and data science
• Emerging big data paradigms, such as datacubes

All areas in the Earth sciences face the same problem of dealing with larger and more complex data sets that need to be analyzed, visualized and understood. Depending on the application domain and the specific scientific questions to be solved, different visualization strategies and techniques have to be applied. Yet, how we communicate those complex data sets, and the effect that visualization strategies and choices have on different (expert and non-expert) audiences as well as decision-makers remains an under-researched area of interest. For this "PICO only" session, we not only invite submissions that demonstrate how to create effective and efficient visualizations for complex and large earth science data sets but also those that discuss possibilities and challenges we face in the communication and tailoring of such complex data to different users/ audiences. Submissions are encouraged from all geoscientific areas that either show best practices or state of the art in earth science data visualization or demonstrate efficient techniques that allow an intuitive interaction with large data sets. In addition, we would like to encourage studies that integrate thematic and methodological insights from fields such as for example risk communication more effectively into the visualization of complex data. Presentations will be given as PICO (Presenting Interactive COntent) on large interactive touch screens. This session is supported by ESiWACE2. ESiWACE2 has received funding from the European Union’s Horizon 2020 research and innovation program under grant agreement No 823988.

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.

Environmental systems often span spatial and temporal scales covering different orders of magnitude. The session is oriented in 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, a special attention is devoted to the studies focused on the development of new techniques and integrated instrumentation for multiscale monitoring high natural risk areas, such as: volcanic, seismic, energy exploitation, slope instability, floods, coastal instability, climate changes and other 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.

Smart monitoring and observation systems for natural hazards, including satellites, seismometers, global networks, unmanned vehicles (e.g., UAV), and other linked devices, have become increasingly abundant. With these data, we observe the restless nature of our Earth and work towards improving our understanding of natural hazard processes such as landslides, debris flows, earthquakes, floods, storms, and tsunamis. The abundance of diverse measurements that we have now accumulated presents an opportunity for earth scientists to employ statistically driven approaches that speed up data processing, improve model forecasts, and give insights into the underlying physical processes. Such big-data approaches are supported by the wider scientific, computational, and statistical research communities who are constantly developing data science and machine learning techniques and software. Hence, data science and machine learning methods are rapidly impacting the fields of natural hazards and seismology. In this session, we will see research from natural hazards and seismology for processes over a broad range of time and spatial scales.

Dr. Pui Anantrasirichai of the University of Bristol, UK will give the invited presentation:
Application of Deep Learning to Detect Ground Deformation in InSAR Data

Data science, analytics and visualization technologies and methods emerge as significant capabilities for extracting insight from the ever growing volume and complexity of scientific data. The rapid advancement of these capabilities no doubt helps address a number of challenges and present new opportunities in improving Earth and Space science data usability. This session will highlight and discuss the novelty and strength of these emerging fields and technologies of these components, and their trends. We invite papers and presentations to examine and share the experience of:
- What benefits they offer to Earth and Space Science
- What science research challenges they address
- How they help transform science data into information and knowledge
- In what ways they can advance scientific research
- What lessons were learned in the development and infusion of these methods and technologies

Most of the processes studied by geoscientists are characterized by variations in both space and time. These spatio-temporal phenomena have been traditionally investigated using linear statistical approaches, as in the case of physically-based models and geostatistical models. Additionally, the rising attention toward machine learning, as well as the rapid growth of computational resources, opens new horizons in understanding, modelling and forecasting complex spatio-temporal systems through the use of stochastics non-linear models.
This session aims at exploring the new challenges and opportunities opened by the spread of data-driven statistical learning approaches in Earth and Soil Sciences. We invite cutting-edge contributions related to methods of spatio-temporal geostatistics or data mining on topics that include, but are not limited to:
- advances in spatio-temporal modeling using geostatistics and machine learning;
- uncertainty quantification and representation;
- innovative techniques of knowledge extraction based on clustering, pattern recognition and, more generally, data mining.
The main applications will be closely related to the research in environmental sciences and quantitative geography. A non-complete list of possible applications includes:
- natural and anthropogenic hazards (e.g. floods; landslides; earthquakes; wildfires; soil, water, and air pollution);
- interaction between geosphere and anthroposphere (e.g. land degradation; urban sprawl);
- socio-economic sciences, characterized by the spatial and temporal dimension of the data (e.g. census data; transport; commuter traffic).

Remaining carbon budgets specify the quantity of CO2 that can be emitted before a given warming level (such as the 1.5 °C target) is reached, and are thus of high interest to the public and policymakers. Yet, there are many sources of uncertainty which make it challenging to deduce this finite amount of CO2 emissions. The theoretical foundation of carbon budgets is based on the concept of the Transient Climate Response to cumulative CO2 Emissions (TCRE). This is the pathway-independent ratio of global warming per unit of cumulative CO2 emissions. However, accounting for non-CO2 forcings and changes in albedo or other Earth system feedbacks provides further challenges in calculating TCRE and the remaining carbon budgets.

This session aims to further our understanding of the climate response under different emission scenarios, and to advance our knowledge of associated carbon budgets consistent with meeting various levels of warming. We invite contributions that use a variety of tools, including fully coupled Earth System Models, Integrated Assessment Models, or simple climate model emulators. We welcome studies exploring different aspects related to carbon budgets and the TCRE framework, including: the governing mechanisms behind linearity of TCRE and its limitations, effects of different forcings and feedbacks (e.g. permafrost carbon feedback) and non-CO2 forcings (e.g. aerosols, and other non-CO2 greenhouse gases), estimates of the remaining carbon budget to reach a given temperature target (for example, the 1.5 °C warming level from the Paris Agreement), the role of pathway dependence, the climate-carbon responses to different emission scenarios (e.g. SSP scenarios, or idealized scenarios), and the behaviour of TCRE in response to artificial CO2 removal from the atmosphere (i.e. negative emissions). Contributions from the fields of climate policy and economics focused on applications of carbon budgets are also encouraged.

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.

Understanding the impact of climate change on natural and socio-economic outcomes plays an important role in informing a range of national and international policies, including energy, agriculture and health. Economic models of climate impacts used to guide policy rely on multiple components: projections of future climate change, damage functions, and policy responses, each of which comes with its own modelling challenges and uncertainties.

We invite research using process-based (e.g. Integrated Assessment Models) and empirical models of climate change to investigate future impacts, together with policy evaluation to explore effective mitigation, technology and adaptation pathways. Furthermore, we invite research on changes to, and new developments of climate-economic and econometric modelling.

Globally, there is increased concern for the potential impacts of extreme climate events in terms of losses and damage to people, assets & infrastructure, property and society as a whole. Plenty of evidence provided by, e.g., the Intergovernmental Panel on Climate Change (IPCC) and the scientific literature, but also by the insurance sector, supports these concerns, indicating clearly that both, overall and insured losses and damages are on the rise, and that a major part of these developments can be attributed to climate change.
New multi-hazard and multi-risk models, catastrophe (CAT) models, tools, and services aimed at providing reliable and probabilistic climate information to a broad range of public and economic sectors are currently being developed in close collaboration with users. Innovations in this regard can provide the means to, e.g., better understand costs and benefits of adaptation and more accurately underwrite risk by insurance and re-insurance companies, who serve as key implementers in increasing societies’ resilience and recovery from extreme events. Such services are crucial in order to facilitate effective and evidence-based adaptation planning by for example cities, regional authorities and other sectors.
This session invites contributions that: (1) highlight the current state-of-the-art in climate change hazard and risk assessment related to extremes and high impact events such as floods, storms, droughts and heat waves, including compound events; (2) demonstrate the applicability and added-value of such analyses (or tools based thereupon) for stakeholders and practitioners with a particular focus on insurance and adaptation in different sectors; and (3) foster discussions on new scientific methodologies, good practices and emerging standards between scientists and practitioners across disciplines and application areas. Papers related to all aspects of climate hazard and/or (economic) risk assessment and attribution covering all geographical areas are welcomed, regardless of whether they are focused on single hazards (risks), multiple hazards (risks), or a combination or cascade of hazards (risks). Contributions related to projects funded under EU H2020, Copernicus Climate Change Services (C3S), ERA4CS, JPI Climate and other larger scale climate service programmes are especially encouraged.
This session is endorsed by the European Climate Research Alliance (ECRA)’s Collaborative Programme on High Impact Events and Climate Change.

It has been shown that regional climate change interacts with many other man-made perturbations in both natural and anthropogenic coastal environments. Regional climate change is one of multiple drivers, which have a continuing impact on terrestrial, aquatic and socio-economic (resp. human) environments. These drivers interact with regional climate change in ways, which are not completely understood. Recent assessments all over the world have partly addressed this issue (e.g. Assessment of Climate Change for the Baltic Sea region, BACC (2008, 2015); North Sea Climate Change Assessment, NOSCCA (2011); Canada’s Changing Climate Report, CCCR (2019)).
This session invites contributions, which focus on the connections and interrelations between climate change and other drivers of environmental change, be it natural or human-induced, in different regional seas and coastal regions. Observation and modelling studies are welcome, which describe processes and interrelations with climate change in the atmosphere, in marine and freshwater ecosystems and biogeochemistry, coastal and terrestrial ecosystems as well as human systems. In particular, studies on socio-economic factors like aerosols, land cover, fisheries, agriculture and forestry, urban areas, coastal management, offshore energy, air quality and recreation, and their relation to climate change, are welcome.
The aim of this session is to provide an overview over the current state of knowledge of this complicated interplay of different factors, in different regional seas and coastal regions all over the world.

World-wide an increasing number of research projects focus on the challenges associated with changes in the Arctic regions. Whereas these often have a natural and physical science focus, this session focuses on trans-disciplinary approaches to study the multiple phenomena associated with global warming, especially but not exclusively in Arctic regions. Another focus is to understand better how to tackle these in large, trans-disciplinary research projects, initiatives and programs (e.g. HORIZON2020 Nunataryuk, INTAROS and the T-MOSAIC program of the International Arctic Research Council, NSF Navigating the New Arctic), as well as communicating results effectively to the public in terms of outreach and education. Contributions are invited, but are not limited, to the following themes:
• science communication, education and outreach tools, and co-production of knowledge
• integration of social and natural science approaches
• indigenous and collaborative approaches to adaptation and mitigation, equitable mitigation, and risk perception
• socio-economic modelling in relation to Arctic environmental change,
• examining the impacts of permafrost thaw and other phenomena on health and pollution as well as infrastructure (and consequences of the built environment).

One of the aims of this session is to bring together researchers from both social and natural sciences who are involved or interested in reaching out to stakeholders and the general public, and share successful experiences. Examples from past, ongoing and future initiatives that include traditional indigenous knowledge and scientific tools and techniques are welcome.

This session merged from

ITS5.9/EOS4.14
Trans-disciplinary aspects of researching permafrost thaw: science communication, integration, monitoring, modelling and risk perception
Co-organized by CL4/CR4/GM7/HS12/NH9
Convener: Peter Schweitzer | Co-conveners: Annett Bartsch, Susanna Gartler

EOS4.1
Where human and natural systems meet: promoting innovative tools for Arctic outreach and education
Convener: Terenzio zenone | Co-conveners: Frederic Bouchard, Stein Sandven, Ylva Sjöberg, Donatella zona

CR4.5
Towards collaborative frameworks for permafrost research that incorporate northern principles: challenges and opportunities
Convener: Peter Morse | Co-conveners: Ryley Beddoe, Hugh O'Neill, Ashley Rudy, Greg Sieme