This general session of the Energy, Resources and the Environment (ERE) division provides an overview of its multi- and interdisciplinarity, which is essential to tackle challenges of the future. Beside others, this is to provide adequate and reliable supplies of affordable energy and other (geo-)resources, obtained in environmentally sustainable ways, which is the basis for economic prosperity, environmental quality and political stability. This session also features contributions of general interest within the ERE community, which are not covered by other ERE sessions. Aim of this session is to provide an overview of topics within the ERE domain, in particular for colleagues affiliated mainly with other divisions, who are interested in topics within ERE.

Geoscience underpins many aspects of the energy mix that fuels our planet and offers a range of solutions for reducing global greenhouse gas emissions as the world progresses towards net zero. The aim of this session is to explore and develop the contribution of geology, geophysics and petrophysics to the development of sustainable energy resources in the transition to low-carbon energy. The meeting will be a key forum for sharing geoscientific aspects of energy supply as earth scientists grapple with the subsurface challenges of remaking the world’s energy system, balancing competing demands in achieving a low carbon future.
Papers should show the use of any technology that was initially developed for use in conventional oil and gas industries, and show it being applied to either sustainable energy developments or to CCS, subsurface waste disposal or water resources.
Relevant topics include but are not limited to:
1. Exploration & appraisal of the subsurface aspects of geothermal, hydro and wind resources.
2. Appraisal & exploration of developments needed to provide raw materials for solar energy, electric car batteries and other rare earth elements needed for the modern digital society.
3. The use of reservoir modelling, 3D quantification and dynamic simulation for the prediction of subsurface energy storage.
4. The use of reservoir integrity cap-rock studies, reservoir modelling, 3D quantification and dynamic simulation for the development of CCS locations.
5. Quantitative evaluation of porosity, permeability, reactive transport & fracture transport at subsurface radioactive waste disposal sites.
6. The use of petrophysics, geophysics and geology in wind-farm design.
7. The petrophysics and geomechanical aspects of geothermal reservoir characterisation and exploitation including hydraulic fracturing.
Suitable contributions can address, but are not limited to:
A. Field testing and field experimental/explorational approaches aimed at characterizing an energy resource or analogue resources, key characteristics, and behaviours.
B. Laboratory experiments investigating the petrophysics, geophysics, geology as well as fluid-rock-interactions.
C. Risk evaluations and storage capacity estimates.
D. Numerical modelling and dynamic simulation of storage capacity, injectivity, fluid migration, trapping efficiency and pressure responses as well as simulations of geochemical reactions.
E. Hydraulic fracturing studies.
F. Geo-mechanical/well-bore integrity studies.

The purpose of this session is to present recent advances in the analysis of environmental contaminations using Applied Geophysics, Remote Sensing and Artificial Intelligence approaches.
Characterizing and understanding the surface and subsurface is a challenge for many scientific areas.
The risk assessment of a contaminated place, using traditional procedures, implies soil and water sampling to proceed to chemical analysis to quantify heavy metals. This is very expensive and time-consuming task.
Remote sensing methods can be applied as previous steps of the traditional approaches to define places to create classification maps, to know where the most contaminated sites are.
Applied Geophysics investigates underground using a variety of non-invasive and non-destructive techniques such as ground-penetrating radar, magnetics, electrical resistivity tomography, electromagnetic induction, and seismics. Remote Sensing uses methods such as photogrammetry, LIDAR, GNSS, and satellite hyperspectral data to determine physical properties at a distance. Some Remote Sensing technologies can also give information from the subsurface or the interior of structures. Artificial Intelligence can be a useful tool to manage information using as inputs data provided by different methods that can help in the calculation of contamination maps.
Knowledge in these fields can be applied to a variety of research topics, combining all-together results of several fields like the mentioned above, using Artificial Intelligence. This can enable the development of integrated tools for optimized environmental management, enabling the automated identification of risk areas and promoting the reduction of sampling and operational costs, as well as reducing assessment times in the management of contaminated areas.
This approach has great potential for replication to other contamination problems, such as those produced by industrial waste, landfills, as well as intensive agriculture.
This session will collect the contributions from Applied Geophysics, Remote Sensing and Artificial Intelligence in the following topics:
- Environmental studies: characterization of the soil and water contamination by heavy metals in mining places, industrial waste, landfills and intensive agriculture.
- Innovations in data acquisition, processing approaches, and big data management of Geophysical, Remote Sensing and AI methods.

The extraction and processing of mineral resources, including oil sands, coal, and metal mining, generate large volumes of mine wastes and long-lasting disturbances to geological, hydrological, and ecological systems. Mine tailings, waste rock, and other by-products may contain fine-grained materials, processing chemicals, residual hydrocarbons, sulfide minerals, and trace metals that pose persistent environmental risks. Following mine closure, these impacts often continue through surface subsidence, slope instability, contamination of air, soil, and water, and ecosystem degradation, making post-mining management a critical global challenge.

Post-mining landscapes are expected to constitute significant portions of closure environments worldwide, and restoring these sites to stable, sustainable conditions is a major priority for industry, regulators, and society. Reclamation efforts focus on reconstructing functioning landscapes that achieve long-term geotechnical, hydrological, and ecological stability. Success depends on advances in mine waste characterization, landform and soil cover design, water and contaminant management, and the development of resilient ecosystems. Addressing these challenges requires interdisciplinary collaboration across mining engineering, geology, geochemistry, geophysics, soil science, hydrology, ecology, and environmental sciences.

This session aims to highlight recent research and practical advances in understanding and managing post-mining geo-environmental issues across diverse mining contexts and regions. Topics include mine-induced subsidence and instability, soil and water contamination and remediation, air quality impacts, land and ground-space utilization, reclamation strategies, and integrated approaches to long-term post-mining risk control. By sharing global perspectives and interdisciplinary insights, this session seeks to advance sustainable solutions for post-mining landscapes.

Geodynamic and tectonic processes interacting across scales are the key engines in shaping the structural, thermal and petrological configuration of the crust and lithosphere. They constantly modify the thermal, hydraulic and mechanical rock properties, ultimately leading to a heterogenous endowment of (often co-located) subsurface resources.
Supporting the transition to sustainable low-carbon economies at scale poses significant challenges and opportunities for the global geoscience community. Improved integration and tighter interdisciplinary understanding of the subsurface processes that can provide access to alternative energy supplies and critical raw materials is needed, as are unifying science-backed exploration strategies and resource assessment workflows.
This session aims to improve our scientific understanding of the pathways and interdependencies that lead to the concentration of economic quantities of energy carriers or noble gases, mineral resources, and the formation of exploitable geothermal reservoirs. Further, it also focuses on providing input for exploration decision-making and scientific input for policy making as well as for the strategic planning of collaborative research initiatives.
We invite studies on observational data analysis, instrumentation, numerical modeling, laboratory experiments, and geological engineering, with an emphasis on integrated approaches/datasets which address the geological history of such systems as well as their spatial characteristics for sub-topics such as:
- Geothermal systems: key challenges in successfully exploiting geothermal energy are related to observational gaps in lithological heterogeneities and tectonic (fault) structures and sweet-spotting zones of sufficient permeability for fluid extraction.
- Geological (white/natural) hydrogen (H2) and helium (He) resources: potential of source rocks, conversion kinetics, migration and possible accumulation processes through geological time, along with detection, characterisation, and quantification of sources, fluxes, shallow subsurface interactions and surface leakage.
- Ore deposits: To meet the global continued demand for metal resources, new methods are required to discover new ore deposits and assess the spatio-temporal and geodynamic characteristics of favourable conditions to generate metallogenic deposits, transport pathways, and host sequences.

Sub-session A - Advancing Sustainable Energy Transitions: Integrated Modelling and Assessment of Renewable Energy Systems
This sub-session focuses on energy system modelling and integrated assessment to understand and optimise interactions within modern energy systems, supporting decisions that improve energy security, economic viability, and minimise environmental impact. It covers system retrofitting and integration of renewables (solar, wind, hydro, geothermal, and hydrogen), including hydrogen’s role in storage and key applications, and its integration with small-scale generation and advanced grid management. It also addresses social and environmental effects, trade-offs, and co-benefits (communities, jobs, land use, ecological impacts), and strategies for sustainable planning and management that enhance co-benefits and mitigate land-use conflicts.

Sub-session B - Supporting the Just Transition of Coal Regions: From Legacy to Sustainability
This sub-session focuses on scientific, technological, and socio-economic research to support the just transition of coal and lignite regions, ensuring environmental restoration, economic revitalization, and social equity. It covers closure, remediation, and sustainable redevelopment of coal mines and infrastructure, including adaptive reuse, environmental restoration (e.g., water and biodiversity), ground stability and subsidence risk management, and mitigation of greenhouse gas emissions, particularly methane, from abandoned and closing mines. It also covers valorisation of mining waste and residues, CCUS in former coal regions, and geothermal systems on repurposed mine sites.

Sub-session C - Pathways to real zero and their policy implications
This sub-session examines pathways to “real zero”, fully eliminating greenhouse gas emissions from fossil fuels across the energy system and other key sectors, rather than relying on CCS or CDR to compensate for continued emissions as in common “net zero” framings. It covers evidence on the technical, financial, and social implications of real-zero pathways, including hard-to-abate sectors (steel, shipping, aviation, fertilizers, chemicals) and options including process change, electrification, fuel switching, efficiency, circularity, and demand reduction. It also addresses residual emissions, costs and permanence risks, land and resource constraints, LTS accounting and reporting, safeguards against over-reliance on CCS/CDR, and equity and just transition considerations.

The urgency, complexity, and economic implications of greenhouse gas (GHG) emission reductions demand strategic investments in science-based information for planning, implementing, and tracking emission reduction policies and actions. An increasing number of applications succeed by combining activity-based emissions data with atmospheric GHG measurements and analyses – this hybrid approach can yield additional insights and practical information to support mitigation efforts at different scales. Inspired by this potential, the Integrated Global Greenhouse Gas Information System (IG3IS) of the World Meteorological Organization works to identify and document good practice guidelines for informing decisions, while promoting scientific advances and facilitating two-way linkages between practitioners and stakeholders in the policy realm, tailoring research actions to meet policy needs.
Since EGU18, this session continues to showcase how scientific data and analyses can be transformed into actionable information services and successful climate solutions for a wide range of user-communities. Actionable information results from data with the required spatial and temporal granularity and compositional details able to explicitly target, attribute and track GHG emissions and reductions where climate action is achievable.
This session seeks contributions from researchers, inventory compilers, government decision and policy makers, non-government and private sector service providers that show the use and impact of science-based methods for detecting, quantifying, tracking GHG emissions and the resulting climate mitigation. We especially welcome presentations of work guided by IG3IS good practice research guidelines at urban and national scale and for specific economic sectors. The scope of the session spans measurements of all GHGs and from all tiers of observation.

The global transition towards sustainable energy and green technology is reliant on critical resources -- such as geothermal energy sources and mineral deposits. To maintain and accelerate progress, we require an improved understanding of: (i) how and where these resources arise; (ii) techniques to identify, characterise and constrain prospective locations; and (iii) strategies for effective, sustainable and low-impact resource development. Addressing any of these questions requires advances in our ability to simulate a wide range of geological processes, and in our capacity to generate actionable insights from these models in combination with complex, uncertain observational datasets.

This session focusses on the computational and methodological developments necessary for progress towards more sustainable energy. We welcome submissions that address a diverse range of topics -- including simulation e.g. of themo-chemical flow processes, subsurface imaging, data fusion and AI -- with their application to critical resources as a unifying theme.

Critical raw materials, geothermal energy, hydrogen storage, and carbon capture and storage (CCS) all play a vital role in the energy transition and in securing Europe's strategic resources. Exploration and monitoring of these resources and infrastructures require affordable, reliable, and scalable geophysical methods to reduce subsurface uncertainty, de-risk drilling, and ensure safe and sustainable operation.

In recent years, passive seismic imaging has emerged as a cost-effective exploration tool, particularly valuable in complex geological settings and at depths beyond the reach of conventional active methods. These approaches are increasingly demonstrating their potential not only for geothermal and subsurface storage applications, but also for mining exploration.

This session invites contributions that advance passive seismic methodology and modeling for applications to subsurface imaging, as well as case studies showcasing applications to critical raw material exploration, mining, geothermal energy, hydrogen storage, and CCS. We particularly encourage studies highlighting integration of passive seismic techniques into industrial exploration workflows, and contributions spanning ambient-noise and/or earthquake-based approaches.

Geoscientists play a key role in providing essential information in decision-making processes that consider environmental, social, and economic consequences of geoscience work. Therefore, their responsibilities extend beyond scientific analysis alone. Global challenges, such as climate change, resource management, and disaster risk reduction, push geoscientists to expand their role beyond research and to engage ethically in public efforts.
Geoethics provides a framework for reflecting on the ethical, social, and cultural implications of geoscience in research, practice, and education, guiding responsible action for society and the environment. It also encourages the scientific community to move beyond purely technical solutions by embracing just, inclusive, and transformative approaches to socio-environmental issues.
Furthermore, science is inseparable from social and geopolitical contexts. These conditions shape what research is funded, whose knowledge is valued, with whom we collaborate, and who has access to conferences. As Earth and planetary scientists, we must consider the human and environmental consequences of our work. This is especially true in Earth observation, where many satellites have both scientific and military applications, and where scientific tools have at times enabled ecocide and resource exploitation under neocolonial systems.
This session will offer insights and reflections across a wide range of topics, from theoretical considerations to case studies, foster awareness and discussion of sensitive issues at the geoscience–society interface and explore how geoethics can guide responsible behavior and policies in the geosciences.

We invite contributions on all aspects of Meteorology and Climate for Renewable Energy (RE):
• Energy: wind, solar, hydro, tidal, wave, geothermal etc
• Spatial: microscale, mesoscale, synoptic and global
• Temporal: seconds, minutes, diurnal, seasonal, interannual, decadal and climatological
• Approach: measurement, modeling
The success of wind power has pushed turbines and research need into increasingly complex environments — mountainous terrain, forested areas, high in boundary layer and offshore. For solar power, new installation sites such as floating PV both rivers, water reservoirs for artificial snow, and “alpine PV farms” are gaining more attention. We need accurate measurements and short-term forecasts of cloud fields and aerosol effects. For weather-dependent renewables, the challenge of integrating shares into the power grid requires advances in understanding forecast uncertainty and spatio-temporal variability. Furthermore, meteorological conditions define how much power can be sent through the power grid and could help prevent curtailment or negative energy pricing.
Specifically, we invite contributions including but not limited to:
• Measurement techniques and analysis for e.g., wind, solar, hydro, and marine resources.
• Wind conditions (resource, extremes, turbulence) on all scales in complex environments (mountains, forests, coastal, offshore, urban).
• Wake effect models and measurements
• Forecast performance and uncertainty of RE at different time horizons
• Forecasts and detection of extreme and adverse weather events (wind ramps, droughts, heatwaves, storms, compound and consecutive)
• Detection and forecasting of dynamic line rating suitable conditions
• RE resource and atlas development (wind, solar, hydro, wave, thermal)
• Hydro-meteorological analyses of inflow variability, snowpack, precipitation extremes, and their implications for hydropower
• Tidal and wave resource assessment and predictability
• Impacts of renewable power plants or their large-scale integration on local, regional, and global scales
• Tools for strategic planning of RE in urban areas and smart energy systems.
• Climate Change Impact studies for renewables and weather-driven energy demand
• Interannual to decadal variability of renewable resources
• Typical Meteorological Years and probability of exceedance metrics
• AI and Machine Learning for weather and climate forecasting and applications to RE

This session addresses spatial and temporal modelling of renewable energy systems, both in a prospective as well as in a retrospective manner. Therefore, contributions which model the characteristics of future renewable energy systems are equally welcome as contributions assessing the characteristics of the past performance of renewable energies. Session contributions may reach from assessments of climate data based simulations of renewable generation, over assessments of land use implications of renewables, to economic assessments linked to spatial and temporal variability of renewables and full energy system model studies applied to understand energy systems with high shares of renewables.

Studies may for instance:
Show the spatial and temporal variability of renewable energy sources, including resource droughts and complementarity between technologies and locations.
Assess the resilience of energy systems to weather and climate extreme events, with a focus on infrastructure and resource adequacy, and analyze economic incentives to ensure reliable energy systems under current regulatory, market and tariff conditions.
Derive scenarios for the spatial allocation of renewable energies based on climatic, technical, economic, or social criteria.
Assess past spatial deployment patterns of renewables.
Assess past impacts on land cover and land-use, including impacts on biodiversity and other environmental indicators
Explore and quantify impacts of wind and solar power deployment on the social and natural environment in a spatially explicit way, including economic valuations of such impacts
Derive integrated scenarios of energy systems with high shares of renewables (Including systems from the local scale, e.g. in form of local Energy Communities, to the national or continental scale).

The objective of the session is to provide an insight into recent advances in the field of renewable energy system modeling. The session welcomes research dedicated to climatic and technical issues, assessments of environmental impacts, economic analysis of markets, policies and regulations, and forecasting applications , concerning renewable energy systems.

The global transition towards “Net zero” requires rapid and sustained decarbonization across multiple sectors, with the electricity sector playing a key role over the coming decades. On the supply side, renewable energy resources exhibit variability across multiple timescales, from minutes to seasons to interannual. Climate change is expected to alter not only the mean patterns of renewable resources but also their variability and the possibility of disruptive extreme events. On the demand side, extreme weather and climate change will shape both overall consumption and peak load. Unmanaged demand growth pathways can raise mitigation costs, intensify pressure on renewable resources, and exacerbate policy tradeoffs, while demand-side management can balance volatile renewable supply.
Considerable uncertainty remains in projecting long-term spatio-temporal changes in renewable sources, demand and low probability extremes that can disrupt the energy system. Since demand must be balanced by generation from largely renewable sources, there is an urgent need for deeper dialogue between climate science, climate risk, and energy transition research communities.
This session invites contributions spanning pathways to accelerate renewable energy transitions under climate change; approaches to just and equitable energy transitions; insights from climate modeling for demand or supply side challenges; approaches for balancing renewable generation with demand management across timescales; innovative concepts or tools to address uncertainty in energy-climate interactions; insights how climate risks impacts the energy transition. We encourage model-based, empirical, and conceptual studies alike, incluing:
* Impacts of climate variability (including extremes) and change on energy systems, and associated uncertainties
* Effects of present and projected renewable resource variability on energy systems, and technical approaches to balance supply and demand
* Climate-related drivers of energy demand, and the role of demand reduction and management in supporting low-carbon transitions
* Influences of extreme events and spatio-temporal complementarities on both demand and supply within energy systems
* Integrated assessments combining supply and demand side approaches to low-carbon transitions
* Spatio-temporal data needs from climate science and modelling to advance understanding of renewable energy supply and demand under climate change

Geothermal energy emerges as a critical component of the urban energy transition, offering constant base-load energy supply, minimal land requirement, and integration into multicomponent energy networks. This session explores the scientific, engineering, and strategic foundations necessary to unlock the potential of geothermal energy in urban settings.
We invite contributions across the spectrum of geothermal technologies: hydrothermal, petrothermal, closed-loop, enhanced geothermal systems (EGS), and aquifer or borehole thermal energy storage (ATES/BTES). Reliable forecasting and sustainable geothermal utilization require solid understanding of the subsurface structure and physical properties. Integrated exploration strategies—seismic, geological, and geophysical studies—combined with consistent monitoring during operation is vital for optimal reservoir management and for minimizing environmental impacts.
The session further addresses the complex interaction between reservoir heterogeneity, imposed perturbations by operation, and impact on governing physical processes. These coupled mechanisms may cause stress redistribution or rock deformation and—in faulted/fractured reservoirs or EGS projects—enhance the seismic risk. Understanding the coupled thermal-hydraulic-mechanical-chemical (THMC) response of geothermal systems is thus crucial for predictive analyses, sustainable operation, and risk mitigation. Contributions on predicting and mitigating induced seismicity, including risk management approaches such as traffic light systems, are especially encouraged.
To this end, we welcome diverse methodological approaches: analytical studies, laboratory and field experiments, multiphysics numerical modeling, and data-driven or machine learning approaches resolving the relevant physical mechanisms across spatial and temporal scales. Case studies and operating geothermal projects highlighting engineering challenges (e.g. wellbore stability, scaling), successful methodologies and engineering solutions, or novel geothermal concepts are especially valuable.
Beyond engineering innovation, the session addresses the broader context of geothermal deployment in urban environments. We invite contributions on management strategies of the geothermal resource and integration into urban energy planning. By showcasing innovative research and practical applications, this session highlights the multifaceted potential of geothermal energy in advancing the urban energy transition.

This session focuses on establishing an inventory of geoscience technologies (e.g., data acquisition methods, characterisation approaches, static and dynamic modelling techniques) and societal approaches during the exploration and appraisal of geothermal projects. The goal of this session is to enable cross-disciplinary knowledge sharing that helps to improve our understanding of geothermal resources across different geological settings, reduce exploration risks, and ensure the safe and sustainable exploitation of this energy source. A collaborative, transdisciplinary, and collegial discussion will be crucial to accelerating geothermal project deployment in Europe and beyond.
We welcome interdisciplinary contributions from the fields of geology, geophysics, geochemistry, geomechanics, hydrogeology, machine learning, and static and dynamic geomodelling, including case studies from different geological settings such as sedimentary aquifers, volcanic systems, or fractured basements.

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

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

Questions of interest include:

- Prediction of water availability and storage capabilities for hydropower production

- Prediction and quantification of the space-time dependences and the positive/negative feedbacks between wind/solar energies, water cycle and hydropower

- Energy, land use and water supply interactions during transitions

- Policy requirements or climate strategies needed to manage and mitigate risks in the transition

- Energy production impacts on ecosystems such as hydropeaking effects on natural flow regimes.

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

Weather forecasting and its application is one of the most important subject in meteorology. This session will focus on R&D on weather forecasting techniques and applications, in particular those AI based techniques and application. Contributions related to nowcasting, meso-scale and convection permitting modelling, ensemble prediction techniques, and statistical post-processing are very welcome.

Topics may include:

- AI based Nowcasting methods and systems, use of observations and weather analysis
- Physics and AI driven Mesoscale and convection permitting modelling
- Development on AI for Ensemble prediction techniques and products
- AI for weather forecasting application
- AI for Seamless prediction and application
- Statistical and AI NWP Post-processing
- Use of machine learning, data mining and other advanced analytical techniques
- Presentation of results from relevant international research projects of EU, WMO, and EUMETNET etc.

Storing energy (e.g., hydrogen, ammonia, heat) and carbon dioxide within underground stores such as porous media reservoirs and engineered caverns is crucial for enabling the shift toward a carbon-neutral economy built on renewable-based power and heat systems. The suitability of subsurface storage sites depends on hydromechanical properties of the reservoir and its confining units, and integrity of seals due to induced thermal, mechanical, hydraulic and chemical changes. Secure subsurface storage, together with public acceptance in essential technologies, demand geological expertise, continuous monitoring, and careful assessment of potential risks.
This session offers a platform for interdisciplinary scientific exchanges between different branches of storage expertise, and aims to address challenges concerning the storage of fluids in geological reservoirs from core- to field-scale. Contributions are encouraged that include analytical studies, laboratory experiments, computational simulations and field-scale testing to advance insight into the coupled physical and chemical processes involved in subsurface storage. Case studies and operational projects integrating different elements of the storage chain, as well as field projects focusing on geological energy/carbon storage, are particularly welcome.
Relevant topics include:
• Regional and local characterization of storage formations, including their short- and long-term physical and chemical behaviour during the storage operations
• Evaluation of existing infrastructure and fluid injection strategies for effective subsurface storage
• Numerical modelling of migration, containment, geochemical and microbial reactions of injected fluids
• Geophysical, geomechanical and geochemical monitoring and measurements for safe and cost-effective storage
• Heat exchange systems, including aquifer thermal energy storage systems
• Techno-economics and public perception of sustainable subsurface systems
• Laboratory experiments investigating fluid-rock interactions and microbial hydrogen consumption
• Field monitoring techniques and fit-for-purpose testing technologies aimed at characterizing storage sites and behaviour of injected fluids
• Evaluation of caprock and fault stability and wellbore integrity, and associated leakage potential and induced seismicity
• Structural and tectonic controls on reservoir/caprock integrity (fault and fracture networks, stress field, structural inheritance)

Geoscientific knowledge is essential to assess safety requirements for radioactive waste disposal strategies. Safety requirements include i) isolation of the nuclear waste from humans and the accessible biosphere, ii) containment of radionuclides by retention and retardation, iii) limitation of water inflow to the geo-engineered facility and iv) long-term geological stability of the site.

The session covers all waste disposal designs, from (near-)surface over shallow to deep geological repositories. Key topics included in this session are:
• Role of geosciences in site characterisation and selection process
• Features and evolution of natural and engineered barrier systems, including induced effects
• Bio-geo-chemical processes, both natural and repository-induced
• Geoscientific evidence supporting Performance and Safety Assessment
• Long-term evolution studies of interactions among hydro-, geo- and bio-sphere, and their impact on the disposal system
• Radionuclide migration assessment
• Impact of short-term and long-term climate change on waste disposal facilities
• Innovative technologies for site characterisation and monitoring, including digital tools and strategies

Contributions on the above topics can include all aspects covering lab-scale experiments, large-scale investigations in underground research laboratories, information from site characterisation campaigns, studies of natural analogues, data management, review studies, and development and application of digital tools.

The successful implementation of safe deep geological disposal of nuclear waste and other long-lived waste is one of the important environmental challenges in several countries worldwide. Site investigation and selection are primarily geoscientific tasks that require collaboration of different disciplines, like geophysics, hydrogeology, geochemistry, mineralogy, geomechanics, material science, and geological as well as THMC modelling. The development of DGRs also involves the integration of technical designs, evolving regulatory frameworks, and social acceptance considerations.

Barrier integrity is a crucial aspect for the assessment of nuclear waste disposal. Numerical simulations, in conjunction with experimental studies are an integral part of safety and environmental-impact assessment. Reliable comparative analyses of potential technological options require coupled THMC models capturing the particularities of each rock type and associated repository concept. Structural as well as process complexity are met by data scarcity and variability, necessitating the treatment of uncertainties and variability. The session provides a platform for the exchange on the following topics:
- THMC characterization of materials in natural or engineered barriers in lab- or field-scale experiments
- Hydro-mechanical behaviour of materials with extreme hydraulic properties (e.g. low permeability, high suction) and ranging from ductile viscopolastic salt rocks to quasibrittle fractured rock masses
- Hydraulic and chemical behaviour of geologic and geotechnical barriers
- Computational methods, models and uncertainty quantification for barrier integrity assessment in multi-barrier systems
- Geotechnical aspects of repository construction, operation, and post-closure, e.g. monitoring methods, excavation and support, retrieval/recovery, etc.
- Minimally invasive characterization of geology and underground installations using geophysical and geohydrological methods

Contributions can include lab-scale experimentation, underground research laboratories, observation of natural analogues, physics- and data-driven modelling and code development.
Furthermore, the session invites contributions addressing regulatory challenges, public outreach programs, lessons learned from national and international DGR projects, the need for transparent communication to ensure public confidence, and the relevance of geoscientific fundamentals in ensuring the safety of nuclear waste disposal.

Thermal Energy Storage (TES) is a key component for an efficient energy supply and for achieving a low-carbon energy balance. TES allows flexible storage volumes and periods, and it represents a cross-sector technology as it couples heat, cooling energy, and electricity. This session is dedicated to Underground Thermal Energy Storage (UTES) technologies, their performance and engineering, as well as new insights into related heat transport processes in the subsurface. In particular, the focus is on Aquifer Thermal Energy Storage (ATES), Borehole Thermal Energy Storage (BTES), Mine Thermal Energy Storage (MTES) and related ground-based variants such as pit storage, cavern storage and artificial water-gravel storage basins. The aim of this session is to overcome technical obstacles concerning the design and sustainable operation of TES. We want to improve our understanding of any UTES-related thermal, hydraulic and other environmental effects.
In a broader context, we invite contributions that show how to enhance the societal perceptions and engagement in UTES developments and how to integrate UTES technologies in wider energy system. Both in research and in practice, accurate characterization of subsurface flow and heat transport based on observations of induced or natural variations of the thermal regime is essential. Thus, we invite contributions that reveal new insight into advances in experimental design, report novel field observations, as well as demonstrate new sequential or coupled modelling concepts. The seasonal and long-term development of thermal and mechanical conditions in aquifers and heat transfer across aquifer boundaries are focus points. This also includes the role of groundwater and geothermal energy in the context of UTES for predicting the long-term performance of storage and production of thermal energy (heating and cooling), as well as integration into urban planning and policy making. We also invite hydrogeological studies that examine heat as a natural or anthropogenic tracer with the aim of enhancing thermal response testing or improving our understanding of relevant transport processes in the underground.

Large-scale deployment of underground fluid and energy storage technologies, ranging ‎from CO2 and hydrogen to geothermal energy storage, and deep waste containment, is ‎crucial for a sustainable and climate-resilient future. Achieving safe, efficient, and ‎cost-effective operations at scale requires advancing both our process understanding ‎and our ability to forecast subsurface system behavior under diverse geological and ‎operational conditions. This session welcomes studies that explore knowledge, ‎workflows, and tools to extend pilot or early-stage commercial projects to regional ‎deployment, acknowledging cross-disciplinary approaches that integrate physico-‎chemical insights, engineering design, monitoring strategies, and predictive models. ‎We especially encourage contributions that combine multiscale experimentation under ‎heavily monitored conditions, from core-scale to underground rock laboratories and ‎demonstration projects, with computationally efficient, physics-informed, and/or data-‎driven models. Emphasis is placed on strategies that enable real-time decision making ‎and long-term performance evaluations, paving the way for storage at scale. The ‎session aims to highlight advances that translate fundamental understanding into ‎practical, scalable geostorage solutions by addressing key challenges related to storage ‎capacity, integrity, and sustainability. By discussing multiple storage applications, this ‎session seeks to identify transferable methodologies, best-practice guidelines, and a ‎path toward accelerating the safe and effective use of the subsurface for the energy ‎transition and long-term environmental protection.‎

Energy gas geo-storage is crucial for achieving a sustainable future, as it helps to reduce CO2 emissions and facilitates the provision of large-scale renewable energy. However, a persistent gap exists between small-scale theoretical advances and large-scale practical implementation. This session brings together research on geological storage of CO2, hydrogen, natural gas and other fluids across molecular, pore, reservoir and field scales. Contributions will address fundamental mechanisms, innovative experimental and modelling approaches. Particular emphasis will be placed on technologies and strategies to translate laboratory findings to field-scale implementations. By integrating insights across scales, this session aims to explore pathways for advancing geo-storage toward gigaton-scale deployment, thereby supporting energy security and global climate goals.

Fluid-rock interactions of ultramafic rocks in the subsurface have a substantial potential for large-scale CO2 storage by long-term mineralization, are a source of natural H2 resources, and play an important role in the formation of various critical ore deposits (e.g. Ni, Co). Understanding the underlying processes is therefore highly relevant for climate crisis mitigation and the energy transition. The coupled chemical, hydrological and mechanical feedbacks and the interplay between dynamic changes in pH, redox conditions and critical metal mobility during these interactions are not yet fully understood. We cordially invite contributions that advance our understanding of the conditions, mechanisms and rates of CO2 mineralization, H2 generation and element mobility during fluid-rock interactions in peridotites and serpentinites from microscopic to industrial and tectonic scales, including studies of natural analogues, field surveys, pilot injection sites, laboratory experiments and theoretical simulations.

Accurate knowledge and understanding of the subsurface stress state and their variation are crucial for a wide range of topics, from plate tectonics and geohazards to mass transport and engineering applications. Conventional and emerging applications such as geothermal energy, Carbon Capture and Storage (CCS), hydrogen or gas storage or disposal of nuclear waste are pivotal for a low-emission society, with their efficacy heavily reliant on knowledge of the subsurface stress state. The difficulty in determining the stress state and constraining subsurface structures though requires advances in modelling algorithms and inversion methods, as well as the development of concepts, experiments, and new measuring techniques.
This session calls for contributions that showcase novel methodologies and/or ambitious case studies. Topics of interest include, but are not limited to:
- Advances in stress orientation and magnitude estimation
- New methodologies for 3D geomechanical modelling, including deterministic, stochastic, hybrid approaches or stress state visualisations
- Outstanding case studies highlighting crustal stress characterisation, fault stability, and/or the application of geomechanical modelling
- Advances in computational efficiency and uncertainty quantification
- Innovative use of machine learning and AI in enhancing models and approaches
This session brings together geoscientists, modellers, and computational experts from an academic and application background to discuss the latest advancements and challenges, offering insights into the future direction of characterizing the present subsurface stress state.

The growing global resource scarcity along with the criticality of high-tech-relevant raw material, poses immense challenges for the sustainable development of our society. Reducing the environmental footprint of mineral exploration and extraction requires sustainable solutions that are socio-economically viable. In this context, an accurate and effective resource characterization is essential not only for supporting economic resilience but also for mitigating environmental impacts and advancing the transition toward sustainable, semi-circular economic models. Emerging technologies, from autonomous robotic explorers to real-time data analytics, are redefining what is possible in mineral exploration and production. These innovations open opportunities to re-evaluate previously “non-economical” deposits, including abandoned sites, ultra-deep reserves, and small-scale resources, and to optimize recovery processes and footprints.

This session targets innovative tools and methodologies that are redefining raw material exploration and characterization. We emphasize multi-scale, multi-source and multi-disciplinary approaches that integrate advanced sensing, modelling, automation and data-driven solutions. The session focuses in particular on method innovations in the field of remote sensing, geophysics, geochemistry, raw material processing, as well as on recycling processes.

We encourage interdisciplinary studies which use a combination of methods to solve challenges as diverse as, but not limited to:
• Next-generation sensing and imaging: non-destructive techniques, core scanners, and airborne/ground-based sensors for high-resolution, accurate, precise, and efficient resource identification.
• Smart field and analytical approaches: geophysical and geochemical mapping, isotope dating, and novel sampling workflows for multi-scale ore body understanding.
• Digital modelling and simulation: advanced conceptual models and quantification methods for deposits and mineral systems.
• Automation and real-time decision-making: AI-driven, automated data processing that enhances resource management, mining selectivity, and recycling efficiency.
• Information integration and visualization: innovative platforms for merging data streams from diverse sensors to improve accuracy and reduce uncertainty.
• Data-driven discovery: machine learning, geostatistics, data fusion, and computational advances unlocking new insights in mineralogy and geochemistry.

Mine waste is both an escalating environmental and geotechnical risk and a strategic secondary resource. Across billions of tonnes stored in tailings storage facilities (TSFs) and waste-rock dumps (WRDs), as well as other post-mining residues, stability concerns and impacts on water and air quality coexist with recoverable critical raw materials (CRMs). This session brings together researchers, industry, and authorities to advance multi-scale Earth observation (EO) and data-integration workflows for characterisation, operational monitoring, and valorization of mine waste. We welcome contributions spanning different spatial and temporal scales that leverage satellites (optical, hyperspectral, thermal, SAR) and UAVs (photogrammetry, hyperspectral, geophysics), alongside near-surface geophysics and in-situ sensors, addressing a diversity of waste origins (sulfidic, coal and lignite, industrial by-products, legacy sites, active operations).

Key topics of interest include:
(i) Geotechnical aims: stability and deformation monitoring, erosion modelling, water balance, and moisture mapping.
(ii) Environmental aims: water pollution/acid mine drainage, dust and aerosols, vegetation health monitoring, and ecosystem recovery.
(iii) Valorisation aims: re-mining/re-processing case studies that link EO-derived composition/proxies to processing options for secondary CRM recovery.

We particularly encourage interdisciplinary contributions that combine Earth observation with advances in artificial intelligence, database development, and frameworks for circular economy and energy transition. By linking technical monitoring with societal, economic, and policy perspectives, the session aims to advance holistic approaches for managing risks and unlocking the resource potential of mine waste.

The increasing demand for Critical Raw Materials (CRMs), driven by the need to address climate change and meet global needs, is already leading to substantial growth in extractive activities. Ensuring a reliable CRMs supply will require identifying and exploiting new and alternative sources, including CRMs as byproducts of conventional ores and reprocessed extractive waste (EW). Developing smarter, cleaner extraction methodologies for primary and secondary resources will be essential. The extraction of CRMs, from exploration to waste management, has numerous impacts on the environment, including landscape and land use degradation, as well as soil and water contamination, with cascading effects on the biosphere. This results in social and economic challenges and opportunities at various stages of the mining cycle, particularly connected to EW deposits. As a whole, CRM supply must be accompanied by responsible and integrated management throughout the entire value chain.
This session welcomes contributions on the following topics:
- Exploration and extraction of CRMs as primary resources.
- CRM recovery as by-products of common mineral exploitation.
- Revalorization of extractive waste facilities as secondary sources of CRMs.
- Technological innovations for the exploration, extraction, and (re)processing of minerals from primary deposits and EW.
- Technological advancements in sampling and characterization procedures for minerals and EW, aimed at improved resource evaluation and environmental impact assessment.
- Multiscale CRM exploration: innovative sensing technologies, automation, and modeling of primary and secondary resources.
- Environmental aspects of CRM extraction from primary resources.
- Environmental and geotechnical innovations for tackling challenges associated with EW facilities.
- The role of current regulations in driving innovative solutions and fostering responsible production of mined products including the extraction of CRMs.
- Role of economists, social scientists, legal scholars, psychologists, and policymakers in addressing the social and economic challenges of new and reactivated mines to promote a responsible and socially accepted mining sector.
- The role of AI and machine learning across the entire mining life cycle.

As the global energy transition accelerates, there is an increasing need to understand the lithosphere not only for critical minerals, but also for emerging resources such as natural hydrogen and geothermal energy. This session aims to bring together geoscientists—particularly geophysicists working across diverse methodologies—to foster interdisciplinary discussion and advance our understanding of how lithospheric architecture controls the formation, distribution, and preservation of these resource systems.

We invite contributions focused on imaging and characterising the continental lithosphere at scales ranging from regional to local, using geophysical array and profile data. Studies that integrate multiple datasets—such as electromagnetic surveys, magnetotellurics, seismic tomography and reflection, distributed acoustic sensing, gravity, magnetics, geoid, and heat flow—are particularly encouraged. We also welcome research that combines geophysical data with geological, geochemical, mineralogical, and petrophysical approaches to provide a holistic understanding of lithospheric processes.

This session will highlight advances that inform the discovery and sustainable development of critical minerals, natural hydrogen, and geothermal resources, ultimately contributing to a secure and low-carbon energy future.

Geo(bio)chemistry is one of the most effective tools for exploring and managing natural resources such as oil and gas, underground storage, geothermal reservoirs, and mineral ore deposits. By combining natural fluid samples with thermodynamics and experimental studies on water-gas-rock interactions, we can better understand the deep subsurface processes under varying pressure and temperature conditions and the mobilisation and migration of elements. Moreover, microbial reactions can control the accumulation and release of many compounds, leading either to the formation of mineral deposits or to their dissolution.

Pyrite, for example, is the most common sulphide in the Earth’s crust and occurs in many different types of rock. The mineral can be used to reconstruct a range of bio- and geological processes across a broad spectrum of scales. In the oceans, pyrite is the dominant sink for reduced sulphur and is intimately connected to biological pathways of sulphate reduction. On land, pyrite weathering can be a geologically relevant process leading to carbon release to the atmosphere. As a major gangue mineral phase in hydrothermal ore deposits, the formation and geochemistry of pyrite can be used to investigate and potentially detect ore forming processes.

Numerous cases of induced/triggered seismicity have been reported in the last decades, resulting either directly or indirectly from injection/extraction activity related to geo-resources exploration and exploitation. Induced earthquakes felt by populations often negatively affect public perception of geo-energies, and may lead to the cancellation of important projects. Furthermore, large earthquakes can jeopardize wellbore stability and damage (surface) infrastructure. Thus, monitoring and modelling processes leading to fault slip, either seismic or aseismic, are critical to developing effective and reliable forecasting methodologies during deep underground exploitation. The complex interaction between injected/withdrawn fluids, subsurface geology, stress interactions, and resulting fault slip requires an interdisciplinary approach to understand the triggering mechanisms, and may require taking coupled thermo-hydro-mechanical-chemical processes into account.

In this session, we invite contributions from research aimed at investigating the interaction of the above processes during exploitation of underground resources, including hydrocarbon extraction, wastewater disposal, geothermal energy exploitation, hydraulic fracturing, gas storage and production, mining, and reservoir impoundment for hydro-energy. We particularly encourage novel contributions based on laboratory and underground near-fault experiments, numerical modelling, the spatiotemporal relationship between seismic properties, injection/ withdrawal parameters, and/or geology, and fieldwork. Contributions covering both theoretical and experimental aspects of induced and triggered seismicity at multiple spatial and temporal scales are welcome.

Naturally fractured reservoirs and faulted rock masses govern fluid flow, mechanical behaviour and long-term performance across a wide range of subsurface applications, including hydrogeology, geothermal energy, hydrocarbons, nuclear waste disposal and CO₂ storage. This joint session brings together contributions that advance our understanding of fracture and fault systems, their hydraulic and mechanical properties, and the complex interactions between fluids, stresses and evolving discontinuities.

Fractures and faults can modify bulk rock properties by orders of magnitude, impose strong anisotropy, and form the primary conduits for fluid flow and transport. Their behaviour is inherently nonlinear and highly sensitive to fluid-rock interactions, which can enhance or diminish transmissibility over time. These dynamic processes influence reservoir productivity, containment performance, induced seismicity potential and operational risks in geoenergy and storage projects.

Representing and modelling these systems remains a challenging task due to their structural complexity, spatial variability in physical properties, and multi-scale deformation processes. Integrating field observations, monitoring data, laboratory measurements and numerical modelling is essential to capture fracture-network evolution and fluid-driven changes. We especially welcome contributions addressing:

• Structural characterisation of fractures and faults using deterministic or stochastic approaches
• Numerical methods for continuous, discontinuous (DFN), or hybrid representations of fractured media
• Simulation of coupled hydraulic, mechanical and THMC processes in faulted and fractured systems
• Deterministic and stochastic inversion techniques for model calibration and uncertainty reduction
• Interdisciplinary studies linking deformation processes, transmissibility changes and fluid-rock interactions
• Applications to geothermal, groundwater, petroleum, CO₂ storage, waste repositories and other low-carbon subsurface technologies

We encourage submissions spanning multiple scales from laboratory experiments to reservoir-scale analyses and studies that bridge the gap between observation, measurement and simulation. Research integrating diverse methods to improve predictive understanding of fault and fracture behaviour in subsurface energy systems is particularly welcome, and early-career scientists are warmly encouraged to contribute.

Geological media are a strategic resource for the forthcoming energy transition and their use for geo-energy technologies is increasing to mitigate the adverse effects of climate change. Subsurface engineering applications such as deep geothermal resource exploitation, Carbon Capture and Sequestration (CCS), natural gas or hydrogen storage, involve multi-physical processes in the porous and fractured rock, including fluid flow, solute and heat transport, rock deformation and geochemical reactions, which occur simultaneously and impact each other. The safe and efficient deployment of such geo-energy technologies is bounded to the adequate understanding of these coupled thermo-hydro-mechanical-chemical (THMC) processes, and predictive capabilities heavily rely on the quality of the integration between the input data (laboratory and field evidence) and the mathematical models describing the evolution of the multi-physical systems.
This session is dedicated to studies investigating some of these THMC interactions by means of mathematical, experimental, numerical, data-driven and artificial intelligence methods, as well as studies focused on laboratory characterization and on gathering and interpreting in-situ geological and geophysical evidence of the multi-physical behavior of rocks. Welcomed contributions include approaches covering applications of carbon capture and storage (CCS), geothermal systems, gas storage, energy storage, mining, reservoir management, reservoir stimulation, fluid injection-induced seismicity and radioactive waste storage.

As climate change accelerates, the transition to renewable energy systems, such as geothermal energy, underground hydrogen storage, and carbon capture and storage (CCS), is essential. These technologies introduce new challenges in the subsurface, including limited data availability, highly heterogeneous reservoirs, and complex thermal and multiphase fluid-flow behavior.

Geo-modelling and geophysical inversion are powerful tools for addressing these challenges, enabling the integration of geological, geophysical, and petrophysical data into consistent three-dimensional subsurface representations. Recent advances in modelling algorithms, inversion techniques, and computational approaches, including machine learning and AI, allow for improved accuracy, uncertainty quantification, and interpretability across multiple spatial and temporal scales, even in data-scarce environments.

This session highlights recent developments in 3D geological modelling, reservoir and fluid-flow simulation, and model-based inversion, with a focus on applications supporting the energy transition and sustainable subsurface use. Both methodological contributions and case studies are welcome.

Topics of interest include, but are not limited to:
• 3D geological and structural modelling approaches
• Geo-modelling for geothermal energy, CCS, and hydrogen storage
• Fluid-flow and reservoir modelling (single- and multiphase)
• Model-based geophysical inversion and data integration
• Multi-scale modelling, upscaling, and representative elementary volumes (REVs)
• Uncertainty quantification and computational efficiency
• Machine learning and AI in geological modelling and inversion

Data science, machine learning (ML), and physics-informed modelling are rapidly transforming geothermal energy systems and subsurface resource engineering. These digital approaches enable the integrated interpretation of heterogeneous data, predictive simulation of complex coupled processes, uncertainty-aware decision making, and end-to-end digital workflows across the full lifecycle of subsurface energy projects.

This session invites contributions advancing data-driven, physics-informed, and hybrid physics–ML methodologies for geothermal, geotechnical, and geoenvironmental applications relevant to energy and subsurface resources. Topics include subsurface and site characterization, reservoir engineering, subsurface flow and transport, induced seismicity, coupled thermo-hydro-mechanical-chemical processes, as well as geotechnical aspects of geothermal infrastructure such as foundations, tunnelling, and slope stability. Contributions employing supervised and unsupervised learning, deep learning, physics-informed neural networks, surrogate and reduced-order models, and inverse modelling approaches are particularly encouraged. We also welcome contributions that integrate laboratory and field experimentation, such as CT imaging, NMR, scattering methods, core- and rock-mechanical testing, and field monitoring, with data science and physics-informed modelling workflows for parameter inference, model calibration, and validation.

A central focus of the session is digital innovation for geothermal energy systems, spanning exploration, development, monitoring, and operation. Relevant topics include geothermal and subsurface databases; data quality control, uncertainty quantification, and metadata standards; integration of multi-source datasets (geological, geophysical, thermal, geochemical, and operational); and AI/ML approaches for resource assessment, reservoir characterisation and modelling, performance forecasting, and operational risk or failure prediction. Contributions related to open and FAIR data infrastructures, semantic technologies, and European and national initiatives (e.g., GeoERA, DESTRESS, HeatStore, GSEU, GeoMAP, MALEG, WärmeGut) are particularly welcome.

The session also welcomes studies integrating ML and data science with monitoring technologies such as IoT sensor networks, remote sensing, and real-time data streams, as well as the development of digital twins for geothermal and subsurface energy systems.

Dissolution, precipitation and chemical reactions between infiltrating fluid and the rock matrix alter the composition and structure of the rock, either creating or destroying flow paths. Strong, nonlinear couplings between the chemical reactions at mineral surfaces and fluid motion in the pores often lead to the formation of large-scale patterns: networks of caves and sinkholes in karst areas, wormholes induced by the acidization of petroleum wells, porous channels created as magma rises through peridotite rocks. Dissolution and precipitation processes are also relevant in many industrial applications: carbon storage or mineralization, oil and gas recovery, sustaining fluid circulation in geothermal systems, the long-term geochemical evolution of host rock in nuclear waste repositories or mitigating the spread of contaminants in groundwater.

With the advent of modern experimental techniques, these processes can now be studied at the microscale, with a direct visualization of the evolving pore geometry, allowing exploration of the coupling between the pore-scale processes and macroscopic patterns. On the other hand, increased computational power and algorithmic improvements now make it possible to simulate laboratory-scale flows while still resolving the flow and transport processes at the pore scale.

We invite contributions that seek a deeper understanding of reactive flow processes through interdisciplinary work combining experiments or field observations with theoretical or computational modeling. We seek submissions covering a wide range of spatial and temporal scales: from table-top experiments and pore-scale numerical models to the hydrological and geomorphological modelling at the field scale.

Why this short course
Earth and environmental sciences thrive on data diversity: from ocean temperatures to biodiversity records, from climate indicators to geological observations. Yet, this very diversity can also be a barrier: different datasets are described with different standards, stored in different formats, and are difficult to connect across research infrastructures. The ENVRI-Hub provides a set of tools to overcome these challenges. It offers researchers a unified framework to discover, access, and reuse complex and multidisciplinary data.

This short course will give researchers a practical introduction to how ENVRI-Hub workflows can directly support their own projects, to build more reproducible and impactful science.

What researchers will learn
By joining this short course, researchers will:
- Get a clear picture of why Essential Variables matter in Earth and environmental sciences and how variable harmonisation improves scientific collaboration;
- Explore datasets through different pathways, including LLM-based search;
- Draft a mini workflow using curated Jupyter notebooks to map and query essential variables and visualise results;
- Share ideas with peers on how ENVRI-Hub workflows could advance their own research projects.

Interactive format
This 1h45min researcher-focused applied training session will blend live demonstrations, guided practice with curated tools, and participation discussions.

The interactive outline will engage participants by offering them an opportunity to:
- Navigate the ENVRI-Hub services and datasets: knowing what’s available and what fits their needs;
- Understand how to integrate ENVRI-Hub analytical tools into their research workflows: from data discovery and annotation to analysis and sharing;
- Present research use cases by reflecting on common challenges and benefits across domains

Who should join
This short course is tailored for:
- Researchers in Earth and environmental sciences, project coordinators, and data scientists looking to improve their data workflows;
- Anyone interested in applying interoperable approaches to interdisciplinary research;
- Anyone with basic familiarity with Python/Jupyter.

The subsurface is increasingly recognised as a finite, shared and strategic space in which multiple, often competing uses must coexist over long time horizons. Energy storage and production, carbon dioxide removal, groundwater supply, underground infrastructure, and the storage or disposal of waste all rely on carefully a managed subsurface resource. How these uses interact has become a critical question for sustainable development.

This challenge is particularly acute in urban regions, where pressures from climate change, growing energy demand, environmental pollution, and social transformation converge. Densely populated cities are hotspots of resource consumption and vulnerability, but also key sites of innovation where resilient, low-carbon and just futures can be actively co-designed. At the same time, urban growth increasingly depends on subsurface resources located beyond city boundaries that support cities through the provision of energy and water, as well as through the removal of waste.

Understanding urban resilience and transformation therefore requires an integrated view of surface and subsurface systems across urban and extra-urban spaces, and across spatial and temporal scales. Yet, the role of surface and subsurface geo-processes within broader socio-technical and socio-ecological dynamics remains underexplored. Addressing this gap is essential for ensuring that subsurface resources are used in ways that are environmentally sustainable, socially just and mindful of future needs.

Social-science and humanities (SSH) research is crucial for informing ambitious, effective, just or societally acceptable climate action. This session highlights how SSH insights on social metabolism, labor transitions, perceptions and societal readiness, institutional dynamics, justice, needs/capabilities, and power relations can enrich and reshape diverse modeling approaches. We aim to provide a platform for interdisciplinary work that broadens the scope of what models and scenarios can represent, clarifies their limits, and fosters connections across methods.

We welcome contributions that:

Integrate SSH concepts and methods into integrated assessment models (IAMs), energy–economy–environment models, or other analytical frameworks

Use empirical and participatory approaches to inform model assumptions, structures, and constraints

Engage with normative dimensions such as fairness, feasibility, and societal acceptance

Connect justice issues to marginalized or disadvantaged communities, especially in the Global South

Address the role of governance, institutions, finance, and critically evaluate material and human needs in shaping transition pathways

Investigate social impacts of modeled scenarios (e.g., income, labor, or demand modeling)

Just-transitions and equity analyses linked to real supply-chain data & green industrial policy

We particularly encourage work that incorporates procedural, recognitional, transitional and other forms of justice, identifies how data gaps map onto justice gaps, and provides bi-directional feedback between social science and modeling communities. By convening these perspectives, the session seeks to advance interdisciplinary approaches that make climate and energy scenarios more relevant, inclusive, and impactful.

Forests and surrounding landscapes are interconnected, and any human activities are integral elements of the socio-ecological system. Forest landscape management usually involves multi-stakeholder interventions to negotiate and implement management actions for local livelihoods, health and well-being. In this context integrated Decision Support Systems (DSS) are needed that help to address ecosystem services at the landscape scale by linking forest, agricultural and landscape interactions. The main aim of this inter- and transdisciplinary session is to identify solutions that use new and innovative methodological approaches in decision support, focusing on holistic planning to enhance sustainable ecosystem management and address ecosystem services, risks, and uncertainties. Computerized decision support systems (DSS) are know to support planning and decision making in semi- and unstructured decision problems. In that context database systems are often linked with analytical models and expert knowledge to take informed and data-driven decisions and allow managers visualizations by various graphical and tabular means. The first generation of DSSs was typically designed to address relatively narrow, well-defined problems for only one ecosystem service (e.g. timber production or increasing the resistance against storms). There has been a trend towards the development of more integrated DSS that simultaneously cover a broader range of ES such as habitat for biodiversity conservation and water provision, but there are still few examples for landscape management. This session invites contributions that bring together the scientific advances in this direction by presenting frameworks off integrated DSS and advandced combinations of methods, models and data to support decison making.

As cities and human settlements face increasing pressures from climate change, environmental degradation, biodiversity loss, pollution, and growing social inequalities, there is a rising need for inclusive, data-informed and integrated approaches to climate and environmental action. This session explores how citizen science, participatory data generation, and innovative analytical tools can support climate adaptation and mitigation and other environmental priorities, while improving understanding of interdependencies, synergies, and trade-offs across sectors and policy domains. It highlights how citizen-generated data and qualitative and quantitative approaches such as indicator-based assessments, system dynamics and integrated modeling can enhance environmental monitoring, hazard detection, and evidence-based decision-making, while also strengthening community engagement in climate research and action.

The session invites contributions that demonstrate the use of citizen science datasets, participatory sensing technologies, and the integration of citizen science with Earth Observations, AI, modeling, and system-based approaches to assess both adaptation and mitigation measures in the context of climate change and broader environmental challenges. At the same time, it emphasizes processes, methods, and tools that help identify and incorporate interdependencies across climate mitigation and adaptation and environmental domains, moving beyond sectoral silos to support coordinated urban planning and policy development. Particular interest lies in innovative engagement models involving underrepresented or vulnerable groups, stakeholder-driven approaches that raise awareness of cross-sector interactions, and case studies showing how participatory and integrative methods can address data gaps, support community-led action, and inform local policies—including in resource-constrained settings and low- and middle-income countries. The session fosters cross-disciplinary and cross-regional dialogue among researchers, practitioners, policymakers, technologists, and data scientists working toward climate-resilient, low-carbon, and inclusive cities.

Sitting under a tree, you feel the spark of an idea, and suddenly everything falls into place. The following days and tests confirm: you have made a magnificent discovery — so the classical story of scientific genius goes…

But science as a human activity is error-prone, and might be more adequately described as "trial and error". Handling mistakes and setbacks is therefore a key skill of scientists. Yet, we publish only those parts of our research that did work. That is also because a study may have better chances to be accepted for scientific publication if it confirms an accepted theory or reaches a positive result (publication bias). Conversely, the cases that fail in their test of a new method or idea often end up in a drawer (which is why publication bias is also sometimes called the "file drawer effect"). This is potentially a waste of time and resources within our community, as other scientists may set about testing the same idea or model setup without being aware of previous failed attempts.

Thus, we want to turn the story around, and ask you to share 1) those ideas that seemed magnificent but turned out not to be, and 2) the errors, bugs, and mistakes in your work that made the scientific road bumpy. In the spirit of open science and in an interdisciplinary setting, we want to bring the BUGS out of the drawers and into the spotlight. What ideas were torn down or did not work, and what concepts survived in the ashes or were robust despite errors?

We explicitly solicit Blunders, Unexpected Glitches, and Surprises (BUGS) from modeling and field or lab experiments and from all disciplines of the Geosciences.

In a friendly atmosphere, we will learn from each other’s mistakes, understand the impact of errors and abandoned paths on our work, give each other ideas for shared problems, and generate new insights for our science or scientific practice.

Here are some ideas for contributions that we would love to see:
- Ideas that sounded good at first, but turned out to not work.
- Results that presented themselves as great in the first place but turned out to be caused by a bug or measurement error.
- Errors and slip-ups that resulted in insights.
- Failed experiments and negative results.
- Obstacles and dead ends you found and would like to warn others about.

For inspiration, see last year's collection of BUGS - ranging from clay bricks to atmospheric temperature extremes - at https://meetingorganizer.copernicus.org/EGU25/session/52496.