Thanks to decades of work in this field, Research infrastructures (RI) worldwide, such as EPOS, Europe's RI for solid Earth science, are key enablers of this paradigm. By providing access to quality-vetted, curated open data, they enable scientists to combine data from different disciplines and data sources into innovative research and apply novel approaches such as Large Language Models (LLM) and AI/ML tools to obtain new insights and solve complex scientific and societal questions.
However, while data-driven science creates enormous opportunities to generate groundbreaking inter- and transdisciplinary results, many challenges and barriers remain.
This session aims to foster cross-fertilization by showcasing real-life scientific studies and research experiences in geosphere studies, especially from Early Career Scientists (ECS) worldwide. We also welcome contributions on challenges and user needs when establishing multi-disciplinary studies, including, e.g., need for reliable and trustworthy AI and the availability of training datasets. The session will not only focus on results, but also on challenges and solutions in connection to data availability, collection, processing, and inter-disciplinary methods.
A non-exhaustive list of topics includes:
- multi-disciplinary studies, involving data from different disciplines (e.g. combining seismology, geodesy, and petrology to understand subduction zone dynamics);
- inter-disciplinary research integrating two or more disciplines into new approaches (e.g. merging geophysics and geochemistry to probe mantle plumes);
- activities that advance interdisciplinarity and open science (e.g. enhancing FAIRness of data and services, enriching data provision, enabling cross-domain AI applications, software and workflows, transnational access and capacity building for ECS);
- experiences that cross disciplinary boundaries, integrate paradigms and engage diverse stakeholders (e.g. bringing together geologists, social scientists, civil engineers and urban planners to define risk maps and prevention measures in urban planning).
Orals: Mon, 4 May, 08:30–10:15 | Room -2.31
The geosciences are a data-heavy discipline, and a wide range of data types and formats are commonly used, even within the same sub-discipline or working group. For example, in hydrology or geomorphology, geospatial data (e.g., satellite imagery, maps, sample locations) are routinely paired with time-series data (e.g., discharge or precipitation monitoring) and laboratory-derived data from individual samples (e.g., isotope chemistry from water samples). For some data types, widely-used community standards exist (e.g., seismic or satellite remote sensing data), stipulating data formats, file types, and relevant metadata. These are known as short-tail data types. Yet, for many data types, either such standards do not exist at all, or several competing standards are used in parallel. These are known as long-tail data types. As a result, research and monitoring data are often not managed and archived according to the FAIR principles or even get lost as researchers move between positions. Yet, many funding agencies require a data management plan and a commitment to open data principles already at the proposal stage. We require a flexible digital infrastructure for data management, that (1) can handle the entire data management chain from upload to publication, (2) is modular and scalable in the sense that it can be set up for individual projects, a workgroup or unit, or entire institutes, (3) is customizable in the sense that it can be set up for different types of data, environments, and tasks, (4) allows for the automation of data management tasks, and (5) can associate rich metadata with individual data files. Here, we introduce SmartLake, a datalake application that integrates a storage environment with a modular metadata catalog and a workflow engine. We describe the concept and architecture of SmartLake, and demonstrate that it can handle a broad range of data management tasks in a flexible way. The workflow engine allows the integration of customizable workflows to retrieve data and metadata, perform quality checks, file type conversions, and standard analysis, transform the data into a form necessary for machine learning, and generate data publications. Once set up, SmartLake can, in principle, automatically handle the entire data management pipeline, thereby minimizing the efforts required for data management, metadata enrichment, archiving, and publication.
How to cite: Turowski, J., Pruß, G., Erikson, C., Jaeuthe, T., and Tang, H.: SmartLake: A smart datalake for short and long tail data types, EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-3919, https://doi.org/10.5194/egusphere-egu26-3919, 2026.
The availability of open access, petabyte-scale geophysical data creates new cross-domain analytical capabilities and challenges. Meeting the challenges of working with massive cross-domain data stores requires assessing existing methodologies and reworking them for an on-demand, distributed computing environment. This presentation examines existing data management and computing practices and introduces a framework for scientific cloud computing for the geosciences. Starting with cloud storage, the framework examines effective ways to leverage computing resources, including containers, serverless, and databases. In addition to addressing computing infrastructure, the framework also supports the use of computationally efficient software libraries that can parallelize workflows and leverage machine learning and artificial intelligence.
How to cite: Parafina, S.: Cloud Infrastructure and Methodologies for GeoSciences: From Contrainers to Machine Learning and Artificial Intelligence, EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-8086, https://doi.org/10.5194/egusphere-egu26-8086, 2026.
StraboField – part of the StraboSpot digital data system – allows researchers to share primary field data and observations, provide a context for sampling, and plot geological maps. This presentation details recent developments within StraboField to facilitate multi-disciplinary studies and increase trust in digital data system. On the basis of community feedback, we have recently introduced Documents, of which there are three types: Outcrop Summaries, Memos, and Models. All of these Documents are designed to establish trust in the digital data, by establishing why a particular decision was made. Outcrop summaries put uncertainty evaluation in the workflow of a field-based geologist, and allow the researcher to designate a Critical Outcrop. There are four different types of critical outcrops: Exemplar, Confuser, Disambiguator, and Anchor. Further, geologists can report analogous features observed elsewhere in the world that are guiding their interpretation. Memos consist of five types: 1) Idea; 2) Plan; 3) Question; 4) Summary; and 5) Other (User defined). Users can specify an intended audience for each report: Anyone, Collaborators, or Individual scientist. Memos both facilitate collaborative work on the same project and enhance communication between practitioners with different expertise, working on similar projects. Models allow geologists to describe one or multiple models, so that future observations can be tested against these models. Memos and Models enable users to link spots together and to add additional context through notes, photos, sketches, and tags. By including this information in digital data systems, future practitioners working with these datasets will have a clear understanding of how the data were collected and where there may be gaps worth researching. Documents are designed to emphasize and summarize important observations and connections in a field area to aid collaborators or other practitioners. Critically, Documents retain a temporal ordering that records the development of a particular idea or model throughout a field project.
How to cite: Tikoff, B., Newman, J., Shipley, T. F., Nelson, E. M., Davidson, D., Walker, J. D., Srimoungchanh, B. K., Trevino, S. F., Wilson, C., Martin, C., Regalla, C., Condit, C., and Roberts, N.: Advancing community workflows, interdisciplinary collaboration, communication, and trust in field based geologic data systems, EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-5938, https://doi.org/10.5194/egusphere-egu26-5938, 2026.
Compared to other continents, Antarctica suffers from a poverty of geophysical data that would allow for a better understanding of its geological structure, as well as isostatic response of the continent to the volumetric change of the ice cover. Antarctica, and in particular its rocky unhabituated oases, could be utilized for the installation of geophysical, autonomous devices that would measure and record unique seismic (both volumetric and surface) waves, gravimetric, geomagnetic (including magnetotelluric) or ionospheric data, not handicapped by an impact from anthropogenic sources. Such data could significantly contribute to our understanding of the Earth's internal structure, from the core, through the structure of the mantle and crust, to the dynamics of glaciers as well as ionospheric processes that are related to space weather effects.
An example is the rocky oasis of Bunger Hills, located in the Australian part of the Southern Ocean and several dozen kilometres away from the Ocean. During the IVth Polish Antarctic Research Expedition to the Antoni B. Dobrowolski Station (located in the central part of the oasis), test geophysical measurements in the fields of seismology, meteorology, geomagnetism, and ionosphere research were carried out in the summer of 2021/2022. The results obtained are of high quality and clearly indicate the potential of the Dobrowolski Station for the location of autonomous and automatic geophysical stations providing measurement data to global databases. Since the Station is equipped with a concrete pole, built in 1958/59 for gravimetric measurements (see: https://www.ats.aq/devph/en/apa-database/126), it also could be used for isostatic movements of the Antarctic crust as the ice cover recedes.
Given expansion of EPOS ERIC beyond the continental Europe, the Dobrowolski Station would be a strong node in the Antarctic geophysical infrastructure network, providing high-quality recordings to topical data exchange platforms (Thematic Core Services - TCS) within EPOS ERIC, as well as to other global data centers.
How to cite: Lewandowski, M., Miloch, W., and Nawrot, A.: Potential of the Polish Antarctic Station Dobrowolski for international cooperation within the framework of EPOS ERIC, EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-7864, https://doi.org/10.5194/egusphere-egu26-7864, 2026.
This work introduces a methodology that links Probabilistic Tsunami Hazard Analysis (PTHA) with social-behavioral simulation to support risk-informed decision-making, where safe evacuation probabilities are evaluated by integrating hazard likelihood with agent-based estimates of evacuation success or failure. The proposed model integrates heterogeneous digital assets, including probabilistic hazard scenarios, exposure datasets and statistically derived behavioral parameters, within a unified workflow, with several inputs already available or foreseen through the EPOS data portal. The methodological core follows a Probabilistic Tsunami Risk Assessment (PTRA) formulation and is embedded within a Monte Carlo integration scheme, where evacuation metrics are derived from repeated simulations under random realizations of uncertain inputs.
From a digital infrastructure perspective, this work explores the set-up and requirements for developing a prototype model as a use case for the EPOS Integrated Core Services-Distributed (ICS-D). Execution of PTRA using ABM requires access to distributed computing resources to support large scale and large numbers of agent-based simulations, server-side storage for hazard scenarios and exposure datasets, and statistical analysis/machine learning tools for the semi-automated transformation of raw information into meaningful behavioral inputs. Simulation outputs and geospatial products are then generated through Python and GIS-compatible visualization workflows.
Looking ahead, such configuration offers a basis for a probabilistic tsunami evacuation modelling service capable of incorporating cascading multi-hazard effects, such as earthquake-induced damage that directly influences evacuation dynamics. By explicitly representing individuals, infrastructure, and their interactions within a shared environment, it enables iterative updating of time dependent conditions. This provides a natural pathway toward a Digital Twin–oriented framework for tsunami evacuation, supporting adaptive, decision-relevant risk analysis and align with the objectives of the Tsunami Thematic Core Service of EPOS.
How to cite: Soltani, S., Jalayer, F., Lorito, S., Volpe, M., Dugdale, J., Ebrahimian, H., Ghaffarian, S., and Abbate, A.: From PTHA to Probability of Safe Evacuation: An Agent-Based Modelling (ABM) Use Case for EPOS Integrated Core Services - Distributed, EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-17928, https://doi.org/10.5194/egusphere-egu26-17928, 2026.
The GeoSciencesIR project, funded through the Italian PNRR initiative, aims at establishing a dedicated research infrastructure for the Italian Network of Geological Surveys (RISG), enhancing collaboration between national and regional geological services. Coordinated by ISPRA and involving universities and research institutions across Italy, GeoSciencesIR focuses on harmonizing geological information and services within a cloud-based infrastructure designed in agreement with FAIR principles and INSPIRE standards. This infrastructure seeks to improve access to interoperable data and analysis tools for end users and fosters sustained capacity building and knowledge exchange within the Earth science community. Within this framework, the Institute for Electromagnetic Sensing of the Environment of the Italian National Research Council (IREA-CNR) is leading the implementation of a national Satellite Ground Motion Service (SGMS) aimed at supporting Italian regional authorities, autonomous provinces and other institutional stakeholders.
This work is focused on presenting the SGMS, which has been designed to routinely generate ground displacement time series from the SAR images produced by the European Copernicus Sentinel-1 constellation (and, in the future, by other SAR missions like NISAR and ROSE-L). SGMS operates over the Italian territory with a three-month latency. By utilizing dedicated computing and storage resources, it achieves an update frequency for displacement time series three times higher than the European Ground Motion Service, while providing a spatial resolution of the final products of about 30 meters. Moreover, starting from the radar Line of Sight deformation measurements retrieved through the ascending and descending orbits SAR imaging, SGMS will provide displacement time series and mean velocity maps for the vertical and East-West deformation components. Moreover, all SGMS products are conceived to be openly accessible and fully compliant with the FAIR principles.
A key aspect of the SGMS is its strong complementarity and interoperability with European research infrastructures, particularly with the EPOS Satellite Data Thematic Core Service and its EPOSAR component. Both SGMS and EPOSAR are based on the P-SBAS DInSAR approach, ensuring methodological consistency and comparability of the derived deformation products. Within this framework, EPOSAR provides validated ground deformation products over selected areas of interest around the Earth supporting detailed scientific analyses, while SGMS delivers continuous and regular updates over the entire Italian territory, addressing operational and institutional monitoring needs at national and regional scales.
Furthermore, the adoption of FAIR principles and INSPIRE-compliant standards in the design of SGMS service, taking advantage of the EPOSAR experience, enables the full interoperability between the two services, allowing products to be shared, accessed and reused across platforms. This synergy not only enhances the overall informational content by enlarging the availability of satellite-derived deformation measurements and, in general, other geoscientific data, but also significantly broadens the user base, extending it from the scientific community to public bodies and national authorities.
This research was partially funded by HE EPOS-ON (GA 101131592) and the European Union-NextGeneratonEU through the GeoSciencesIR project – PNRR M4C2 Investimento 3.1 - IR00000037.
How to cite: De Luca, C., Bonano, M., Casu, F., Cipolloni, C., Congi, M. P., Dessì, B., Gerardi, M., Guerrieri, L., Lanari, R., Leoni, G., Manunta, M., Menniti, F., Onorato, G., Spizzichino, D., and Zinno, I.: A brief overview of the open and interoperable National Satellite Ground Motion Service for the Italian territory developed through the GeosciencesIR initiative, EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-18909, https://doi.org/10.5194/egusphere-egu26-18909, 2026.
Modern tsunami hazard assessment requires moving beyond slow high-fidelity simulations toward scalable hybrid frameworks that integrate physics-based numerical modelling with machine learning (ML) emulation. To ensure these "tsunami emulators" are trusted by stakeholders for tasks like hazard assessment, evacuation planning and real time forecasting, they must be developed through transparent, reproducible but tailored workflows. We present our attempt at building and testing tsunami inundation emulators designed for rapid probabilistic inundation assessment.
This work utilises of large simulation dataset derived from European research projects and computing infrastructure for training our emulator, that will be made available on the CINECA-hosted Simulation Data Lake (SDL) linked to the Geo-INQUIRE and EPOS project along with codes on open repository to allow other researchers to reproduce results, test, and also benchmark against new ML models.
We demonstrate through rigorous testing and benchmarking for an application at inundation sites in Sicily the emulator performance against full ensembles of numerical simulations and importance sampling Monte Carlo methods. Our emulation framework enables for uncertainty quantification of the emulator essential for trust and reliability in operational setting. The resulting products include probabilistic hazard maps, evacuation maps, inundation forecasts which are directly actionable for stakeholders. This example showcases a scalable path for integrating AI into solid Earth science using upcoming research infrastructures, helping bridge the gap between open science and real-world disaster resilience.
How to cite: Ragu Ramalingam, N., Abbate, A., Storrøsten, E. B., Davies, G., Di Stefano, A., Lorito, S., Volpe, M., Gibbons, S., Romano, F., and Løvholt, F.: How to Train Your Tsunami Emulator: From Open Science and Research Infrastructure to Stakeholders' Needs, EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-20646, https://doi.org/10.5194/egusphere-egu26-20646, 2026.
Geo-INQUIRE* (Geosphere INfrastructures for QUestions into Integrated REsearch) is an EU-funded project running from October 2022 to September 2026. The project aims to enhance access to geoscientific data, products, services, and computing resources, thereby enabling open, interdisciplinary, and data-driven research across the geosphere. By integrating and strengthening European and pan-European research infrastructures, Geo-INQUIRE addresses some of the challenges posed by heterogeneous data formats, new data types, and disciplinary silos that increasingly accompany modern, data-intensive science.
A central objective of Geo-INQUIRE is to foster cross-fertilization and long-term collaboration among major European research infrastructures and initiatives, including EPOS ERIC, EMSO ERIC, ECCSEL ERIC, ChEESE CoE, and the ARISE infrasound community. Through coordinated European efforts, the project promotes the harmonisation of data policies, interoperability frameworks, and service provision. This contributes to the development and adoption of global standards for FAIR (Findable, Accessible, Interoperable, Reusable) geoscientific data and services. Geo-INQUIRE also addresses the rapidly evolving data management policies across communities, and the definition of common Key Performance Indicators for infrastructure governance.
Geo-INQUIRE leverages complementary strengths across solid Earth, marine, atmospheric, and subsurface research domains, combining observational data, advanced modelling, and high-performance computing resources. Users benefit from integrated FAIR-compliant data collections, interoperable workflows, scalable computing services, and a dedicated Transnational Access programme providing hands-on access to key testbeds, facilities, and HPC-demanding computational workflows. This enables users to perform advanced experiments, simulations, and methodological developments. Training, workshops, and summer schools provide further support for capacity building and the adoption of open and reproducible research practices, with a strong focus on promoting Equity, Diversity, and Inclusion (EDI).
Now, in its final implementation year, Geo-INQUIRE is consolidating and assessing the outcomes of its activities, including new multidisciplinary datasets generated via Transnational Access, enhanced data services, interoperable workflows, and training materials. These results are being wrapped up, evaluated, and progressively handed over to long-term, sustainable European research infrastructures to ensure continuity, reuse, and lasting impact beyond the project lifetime. This final phase demonstrates how time-limited collaborative projects can deliver durable contributions to the European and global geoscience research landscape by embedding innovation within established, sustainable infrastructures.
* Geo-INQUIRE is funded by the European Union (GA 101058518)
How to cite: Strollo, A., Cotton, F., Litwin Prestes, M., Tuerker, E., and Weege, S. and the Geo-INQUIRE project management board: Enhancing and Sustaining European Geosphere Services: Geo-INQUIRE’s Final Phase of Training, Transnational Access, and FAIR Data Integration, EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-19798, https://doi.org/10.5194/egusphere-egu26-19798, 2026.
The European Plate Observing System (EPOS) addresses the problem of homogeneous access to heterogeneous distributed digital assets in geoscience within Europe, following the FAIR principles. EPOS has been a European Research Infrastructure Consortium (ERIC) since 2018, with the goal of building long-term and sustainable infrastructure for solid Earth science. The EPOS Platform was launched into the operational phase in April 2023 and is introducing new ways for cross-disciplinary research, especially for data discovery. Currently, the EPOS Platform, a metadata and semantic-driven system for integrating Data, Software and services, provides access to data and data products from ten different geoscientific areas: Seismology, Near Fault Observatories, GNSS Data and Products, Volcano Observations, Satellite Data, Geomagnetic Observations, Anthropogenic Hazards, Geological Information and Modelling, Multi-scale laboratories and Tsunami Research.
This presentation details the integration of Jupyter Notebooks into the EPOS platform. EPOS is using SWIRRL API allowing the deployment of Jupyter notebooks to distributed computing facilities. This implementation enables users to perform advanced processing of datasets directly within the Virtual Research Environment (VRE) of the EPOS ecosystem. We showcase multidisciplinary use cases provided by researchers from various domains that demonstrate efficient data processing workflows and visualizations using EPOS services. Furthermore, we position Jupyter Notebooks as dynamic learning tools; they combine methodological descriptions with executable code that users can modify for specific needs. By leveraging parameterized queries to EPOS web services, users can easily customize data retrieval and facilitate reproducibility by sharing workspace snapshots via GitHub. Examples of Jupyter Notebooks aim to help young researchers to understand typical data processing in individual domains, such as earthquakes and seismic hazard, volcanic eruptions, geomagnetic storms, anthropogenic hazards and many more. At the same time, it can assist experienced researchers to foster cross-disciplinary research.
How to cite: Michálek, J., Giuliacci, K., Vinciarelli, V., Paciello, R., Bailo, D., Hooijer, T., van der Neut, I., and Roquencourt, J.-B. and the EPOS Team (IT developers and Jupyter Notebook contributors): Jupyter Notebooks as a learning tool in European Plate Observing System (EPOS) for multidisciplinary research, EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-7667, https://doi.org/10.5194/egusphere-egu26-7667, 2026.
Open Science initiatives have made enormous volumes of climate data freely available to researchers worldwide. Yet accessing this wealth of information remains challenging for many scientists. Global Climate Model outputs and reanalysis datasets typically come in multidimensional NetCDF formats that require programming expertise to analyze effectively. Civil engineers, geologists, urban planners, and other domain specialists often find themselves unable to work with this data independently, despite having the scientific knowledge to extract meaningful insights from it.
Existing command-line tools are undeniably powerful. They can perform sophisticated analyses, but their reliance on complex syntax creates substantial barriers for researchers without programming backgrounds. A problematic gap has emerged between those who can manipulate the data computationally and those who understand its real-world implications. Collaborative research suffers when domain experts cannot readily integrate climate information into their own disciplinary work.
NCexplorer was developed to address this accessibility challenge. The software provides a visual, point-and-click interface that makes climate data analysis feasible for researchers regardless of programming experience. Tasks that previously required scripting knowledge can now be accomplished through organized menus and drag-and-drop workflows. Users can explore datasets, perform statistical calculations, and generate spatial visualizations without writing code.
Practical usability guided the design from the start. Researchers can load NetCDF files, define analysis regions, compute various statistics, and examine results on maps within a single application. Initial deployment has shown promising results. The software successfully handles common analytical tasks including extracting temperature trends for specific locations, calculating climate indices, and comparing multiple datasets. Cross-platform compatibility ensures the tool works across Windows, macOS, and Linux environments typically found in research institutions.
Several preliminary applications have emerged from early testing. A civil engineer analyzed decades of precipitation patterns to inform infrastructure planning, working entirely through the graphical interface. Another study combined climate model outputs with ground observations for regional validation work. These examples suggest potential applications spanning urban climate assessment, environmental impact studies, and integrated analyses that combine atmospheric data with other geoscience disciplines.
The broader contribution lies in making analytical sophistication accessible to researchers focused on scientific questions rather than computational mechanics. Development continues with plans to expand the range of available analytical operators and create domain-focused documentation. Accessible tools become increasingly important as climate data grows more central to geoscience research across disciplines.
How to cite: Shivach, M. and Dubey, S.: Development of Cross-platform Graphical Interface Software for Climate Data Analysis, EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-8849, https://doi.org/10.5194/egusphere-egu26-8849, 2026.
Posters on site: Mon, 4 May, 10:45–12:30 | Hall X4
A Data Space is a digital environment that enables the reliable exchange of data while retaining sovereignty and ensuring trust and security under a set of mutually agreed rules. While in Spatial Data Infrastructures (SDI) the focus was on providers opening their data to everybody, in Data Spaces the focus is on a more symmetrical and distributed data exchange among participants. These are specifically designed for sharing restricted or sensitive data, respecting privacy and supporting private companies in the digital economy.
The European Commission is promoting the creation of up to 15 common European Data Spaces that are expected to bring together relevant data infrastructure and governance frameworks in strategic sectors as part of the European Strategy for Data. The aim is to face global challenges and overcome legal and technical barriers to data sharing by combining the necessary tools and services in an interoperable and reusable way. Among these, the Green Deal Data Space (GDDS) supports the Green Deal priority actions in terms of sharing high value and high quality datasets for biodiversity preservation, zero pollution, circular economy, climate change mitigation, deforestation reduction, smart mobility and environmental compliance.
Most environmental data within GDDS originates from public administrations and is mainly open, except for GDPR-protected or sensitive species data. However, data from commercial activities—such as soil markets, farming, and textile recycling—is considered proprietary and therefore restricted. The GDDS should be designed and built respecting European values and applying FAIR principles (Findable, Accessible, Interoperable, Reusable). It is also a goal to interconnect fragmented and cross-domain data from public and private sectors, as well as citizen-generated sources, while maintaining a balance between open and restricted data. This communication explores how SDI fundamentals for open data can be combined with Data Space technologies for restricted data, ensuring the interests of all actors.
The architecture initially adopted by the GDDS is based on a piece of software called “data space connector” that follows standards defined by the International Data Space Association. The connector is providing access to restricted data based on traditional authentication or a Decentralized Claims Protocol system complemented by digital contracts. Only authorized actors can use the data. In SAGE, we are also using this architecture to share open data coming from APIs.
Due to the heterogeneous nature of data in the GDDS, the precise understanding of the meaning of this data is of a paramount importance. Thus, semantics and well-known ontologies play an important role in Data Spaces. In SAGE, we propose to use Essential Variables (EVs) as a common language to describe data. Previous work has been done in AD4GD in using Essential Biodiversity Variables together with I-ADOPT ontology framework for metadata and data description. This work will be expanded with the rest of EVs facilitating breaking the silos among data domains.
This research is conducted in SAGE project co-funded by the European Union from the Digital Europe Programme (DIGITAL) under grant agreement Nº 101195471 and some parts were initiated under AD4GD EC HORIZON.2.6 project (Nº 101061001).
How to cite: Serral, I., Masó, J., Palma, R., and Giralt, B.: How open and restricted data can coexist in a Data Space, EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-19888, https://doi.org/10.5194/egusphere-egu26-19888, 2026.
The increasing availability of probabilistic hazard datasets in solid Earth Sciences requires digital environments that go beyond static map visualization, enabling in-depth spatial analysis, data comparison across multiple hazard contexts, and data download in standard formats.
In this work, we present a web-based geospatial platform properly designed to support interactive exploration, analysis, and dissemination of hazard data (maps and curves), while remaining extensible to any type of GIS layer. The platform performance is tested using Mount Etna as a case study and integrates volcanic and seismic hazard assessments derived from established probabilistic models for different hazardous events and their metrics, including lava flow invasion, ground load from volcanic ash fallout, and seismic intensity (Cappello et al, 2025; Scollo et al, 2025; D’amico et al, 2025). Hazard datasets originally provided in NetCDF format are here processed and stored in a spatial database, allowing consistent management of both raster and vector representations of exceedance probabilities across different spatial resolutions. Aside from the standard spatial queries, the system enables advanced analytical interactions, such as point-based interrogation of hazard layers with on-the-fly visualization of probability percentiles across different hazardous events and specifically different thresholds in their metric. Users can also extract and download hazard matrices and map products, supporting quantitative comparison and further offline analysis. By combining geospatial data management with interactive analytical tools, the platform allows researchers from different disciplines to explore complex spatial information in a transparent and reproducible manner. The adoption of standardized web services and modular workflows enhances interoperability and facilitates integration with external infrastructures. Designed in accordance with FAIR data principles, the platform represents a flexible digital geoscience tool that can be extended to additional hazard domains and GIS workspaces. This work proves how interactive geospatial analysis workflows can enhance the scientific use of probabilistic hazard information and foster collaboration among hazard modelers, Earth scientists, and stakeholders, in line with the objectives of the EPOS European research infrastructure.
How to cite: Patanè, A., Sandri, L., Reitano, D., Spampinato, L., and Puglisi, G.: From static hazard maps to an interactive multi-hazard geospatial analysis platform enabling collaborative digital workflows, EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-6823, https://doi.org/10.5194/egusphere-egu26-6823, 2026.
Digital Solid Earth science relies on GNSS data services that are interoperable, traceable and reusable across institutions. In practice, GNSS station metadata and RINEX files are highly sensitive to manual handling and heterogeneous conventions. Inconsistencies in equipment histories, identifiers and file conventions can delay integration, reduce trust in downstream products, and hinder open dissemination. These challenges are amplified when coordinating across multiple data owners and legacy archives.
We present an EPOS-aligned workflow for Icelandic GNSS metadata curation and service implementation developed across IMO, NordVulk and NSII. The work establishes a production-grade metadata and data integration pathway using a central integration layer coupled to EPOS services. Icelandic GNSS data are currently exposed via EPOS VOLC-TCS, while integration with the EPOS GNSS Thematic Core Service (GNSS-TCS) via GLASS (Geodetic Linkage Advanced Software System) is in the final stages of implementation to enable dissemination via the EPOS Data Portal. A key focus is reducing manual intervention and inconsistency while retaining necessary expert review. We describe automated validation and correction steps implemented in custom tooling (Tostools) developed in-house to streamline metadata curation and RINEX compliance, including consistency checks between station metadata, equipment change histories and RINEX content, generation of infrastructure-ready site logs for the M3G metadata service (the GNSS station site log standard used in EPOS/GLASS), and near-automated preparation of DOMES (Directory of MERIT Sites) identifier applications. The workflow also supports staged integration of heterogeneous datasets, including rescue and documentation of legacy University of Iceland campaign measurements and controlled dissemination based on data ownership constraints.
As a motivating context, we refer to recent Reykjanes Peninsula deformation studies where dense GNSS observations were central to resolving rapid intrusive processes alongside other datasets, illustrating the value of reliable, well-documented and shareable geodetic data services (Sigmundsson et al., 2024).
We conclude with practical lessons and recommendations for implementing FAIR and open-science aligned, infrastructure-ready GNSS services in a way that improves efficiency, reduces misunderstandings and accelerates collaboration.
Reference: Sigmundsson, F., et al. (2024). Fracturing and tectonic stress drive ultrarapid magma flow into dikes. Science, 383, 1228–1235. https://doi.org/10.1126/science.adn2838.
How to cite: Fridriksdóttir, H. M., Ófeigsson, B. G., Prizginiene, D., Geirsson, H., Kristinsson, G. H., Kompatscher, N. K., Vogfjord, K., and Júlíusdóttir, R.: FAIR GNSS for collaborative Solid Earth science in Iceland: metadata, validation workflows and EPOS dissemination, EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-10092, https://doi.org/10.5194/egusphere-egu26-10092, 2026.
The study of the preparation phase of earthquake occurrence is essential to better understand our planet and assess the seismic hazard (Marchetti et al., 2024). However, different approaches are generally provided without the possibility of a direct comparison. Consequently, even the nature of the extracted anomalies before an earthquake is the object of scientific discussion.
In this work, we present SEISMO-VRE, a freely available tool available on GitHub (https://github.com/dedalomarchetti/SEISMO-VRE), developed as Jupyter Notebooks with Python or MATLAB kernels, to serve a broader user community following the open science paradigm. The tool performs several analyses of the lithosphere, atmosphere and ionosphere, extracting anomalies and trends for each geo-layer. It produces graphs and tables of the extracted anomalies and, in particular, a summary graph for the comparison of the trends in the lithosphere, atmosphere and ionosphere. suggesting potential interactions between Earth’s geo-layers.
Data are retrieved from the European Plate Observing System (EPOS) Platform and integrated with NASA and ESA atmospheric and ionospheric data using a dedicated notebook that we provided in the same public GitHub repository.
Given the ease of reproducibility of SEISMO-VRE across different case studies, we will present results in response to earthquakes and volcanic eruptions. Case studies will include the Italian Seismic sequence 2016 (M6.0 and M6.5 as larger events), the Turkey Marmara region 23 April 2025 M6.2 earthquake, the Etna volcano eruption on 3 December 2015 (Volcanic Explosive Index, VEI = 3) and other cases.
Whenever it’s possible, we will also compare the results of the SEISMO-VRE with published papers to discuss the similarities and differences. Overall, we will provide a scientific discussion on the possible reasons for differences in the identified trends for different earthquakes. In fact, epicentre location (sea or land), focal mechanism, and magnitude appear to play a major role in the preparation phase of earthquakes.
Finally, we propose this tool not only to provide a universal and shared framework for the multiparametric investigation of earthquakes, volcanic eruptions and other natural and anthropogenic hazards, but also to highlight the advantages of using the EPOS pan-European research Infrastructure platform.
References:
- Marchetti, D., Bailo, D., Falcone, G., Michalek, J., Paciello, R., & Piscini, A. (2025a). GitHub. https://github.com/dedalomarchetti/SEISMO-VRE
- Marchetti, D.; Bailo, D.; Michalek, J.; Paciello, R.; Falcone, G.; Piscini, A (2025b). A Multiparametric Investigation of an Earthquake by a Jupyter Notebook: The Case Study of the Amatrice-Norcia Italian Seismic Sequence 2016-2017. In Proceedings of the Computational Science and Its Applications – ICCSA 2025 Workshops; https://doi.org/10.1007/978-3-031-97657-5_19
- Marchetti, D.; Yuan, Y.; Zhu, K (2024. Editorial of Special Issue “Remote Sensing Observations to Improve Knowledge of Lithosphere–Atmosphere–Ionosphere Coupling during the Preparatory Phase of Earthquakes”. Remote Sens. 2024, 16, 1064. https://doi.org/10.3390/rs16061064
How to cite: Marchetti, D., Bailo, D., Falcone, G., Michalek, J., Paciello, R., and Piscini, A.: SEISMO-VRE: a tool to perform an automatic multiparametric investigation of earthquake, volcano eruption and other natural or artificial hazards, EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-14727, https://doi.org/10.5194/egusphere-egu26-14727, 2026.
The manmade changes to the environment can pose a risk of triggering seismic activity within the regions affected by such alterations. The seismic activity can be triggered by many factors, such as underground mining, hydrocarbon extraction, CO2 sequestration, wastewater injection, etc. One of the impacting factors is reservoir impoundment related to artificially created bodies of water.
The artificial reservoirs play a significant role in the modern environment. They are built for the purpose of flood prevention, water storage, irrigation, hydropower, etc. Building the dam over rivers, however, can pose a risk to local societies in case of its damage. Such a case took place in 1967 and was related to the Koyna earthquake, which was triggered by reservoir impoundment, causing over 200 fatalities and leaving a few thousand people injured.
In the following study, we investigate the Reservoir-Triggered Seismicity (RTS) within the biggest artificial lake – Castanhão Reservoir – in the State of Ceará, NE Brazil. For the purpose of study, we employ tools available within the EPOS EPISODES Platform, PyMPA Template Matching package, Hypo71, HypoDD, and KIWITool. We observed 227 earthquakes on the study site, between December 2009 and August 2008, whose moment magnitudes vary between 0.0 and 2.7. We also investigate the role of pore pressure variation in triggering earthquakes within the reservoir.
Our results show that changes in pore pressure in the underlying medium can cause the swarm-like seismicity within the vicinity of the reservoir located within pull-apart systems. We compare them to other known sites within similar tectonic settings. The study shows that the pull-apart basins are prone to reservoir-triggered seismicity and should be treated as such during seismic hazard assessment. Such an investigation requires a multidisciplinary approach within Solid Earth science disciplines such as seismology, geology, tectonics, as well as scientific branches such as hydrology and modelling. The result of this study is in preparation to be published as one of the new EPISODES on the EPOS Episodes Platform.
How to cite: Ciechowska, H., Orlecka-Sikora, B., Rudziński, Ł., do Nascimento, A., Fonseca, J., and Vuan, A.: Earthquake Preparatory Process in pull-apart systems: reservoir-triggered seismicity in Castanhão, NE Brazil, EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-18235, https://doi.org/10.5194/egusphere-egu26-18235, 2026.
Documenting landslide activity over long periods using monitoring standards (sensors, acquisition rates, quality-control) is critical for understanding landslide forcing factors, validating process-based models, identifying the effect of climate change on their behavior, and ultimately defining warning thresholds.
These goals underline the mission of the Thematic Group “Landslides” currently being set up among several French institutes (CNRS, BRGM, CEREMA, IRD) within the national Solid Earth Research Infrastructure EPOS-France.
The thematic group has two objectives organized in two Specific Actions (SAs):
- SA#1 - setting up a permanent observatory of continuously moving large landslides using a multi-instrumented approach
- SA#2 – setting up an observatory of landslide hot moments, corresponding to monitoring campaigns of specific landslide acceleration periods in order to learn from such specific extreme events.
The two SAs are built upon the sensor technologies and information system of the French Landslide Observatory (Observatoire Multi-Disciplinaire des Instabilités de Versants) which is a service of the French Research Institute (CNRS) in charge of deploying, acquiring, exploiting and disseminating multi-parametric sensor data over several large landslides. OMIV has developed, since nearly 20 years, standards in terms of sensor types, using both high-grade and low-cost sensing in order to construct reference and spatially dense monitoring time series. The service provides open access to records of landslide kinematics, landslide micro-seismicity, landslide hydro-meteorology and landslide hydro-geophysics. Combined, these categories of observations are unique worldwide for long-term landslide observations. OMIV is currently supervising the acquisition and dissemination of sensor data on 8 permanent unstable slopes (Avignonet/Harmallière, La Clapière, Séchilienne, Super-Sauze/La Valette, St-Eynard, Pégairolles, Vence, Villerville) and on unstable slopes currently experiencing gravitational crises (Viella, Marie-sur-Tinée, Aiguilles). The service is organized around the dissemination of qualified data (in international reference file format) and products for 5 categories of observation (Geodesy, Seismology, Hydrology, Meteorology, Hydrogeophysics). For each category of observation, specific FAIR data repositories and access portals are available and automated processing methods have been proposed to meet the needs of the landslide research community. The products being generated are time series of GNSS and total station positions, catalogue of endogenous landslide micro-seismicity, resistivity tomography datasets, and hydro-meteorological parameters. These observations aim at contributing at identifying the key controlling parameters of different landslide types (e.g. soft/hard rock, cohesion/friction, slip/fracture, localized/diffuse damage) and at monitoring their evolution in time and space (deceleration or acceleration according to the triggering factors, sliding- flowing transition).
The objective is to present the strategy of data acquisition, qualification, dissemination and exploitation of the EPOS-France landslide thematic group, and discuss ideas to set up (at mid-term) a European landslide thematic core service (landslide-TCS) within EPOS ERIC.
How to cite: Malet, J.-P., Bernardie, S., Bertrand, C., Gasc, M., Gautier-Raux, S., Hibert, C., Lacroix, P., Lebourg, T., Radiguet, M., and Vidal, M.: Acquiring, sharing and exploiting long-period and multi-parametric instrumental data for landslide science: the French EPOS-France vision, and its implementation at the European level., EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-16433, https://doi.org/10.5194/egusphere-egu26-16433, 2026.
Surface mass redistribution driven by hydrological, oceanic, and atmospheric processes produces time-varying loads on the solid Earth, generating stress perturbations that may influence seismicity. Quantifying how these surface processes interact with tectonic stress accumulation in subduction zones, where the largest earthquakes and associated cascading hazards occur, requires an interdisciplinary integration of Earth system and solid Earth observations, yet remains insufficiently understood. The periodic nature of surface mass loading provides a natural probe of fault sensitivity to modest stress perturbations, enabling the detection of spatially coherent and seasonally varying stress modulation patterns across major subduction zones. Here, we present a global, data-driven framework that integrates GRACE/GRACE-FO satellite gravimetry–derived mass variations, global earthquake focal-mechanism catalogs, and tectonic stress models to investigate how time-dependent surface loads modify fault stress states across subduction margins in the upper 50 km and near the seismogenic plate interface. Using openly available and independently curated datasets within a high-performance computing framework, we compute load-induced stress perturbations at depth and evaluate their orientations relative to the prevailing tectonic stress field to identify conditions under which surface-driven stresses may promote or inhibit fault failure. Our results reveal systematic spatial and temporal patterns linking climate-driven surface processes with megathrust and upper-plate fault behavior, while demonstrating that the seismic response to loading is strongly controlled by tectonic setting. This study also highlights both the opportunities and challenges of interdisciplinary research based on heterogeneous open datasets.
How to cite: Cai, Y., Bürgmann, R., and Le Bail, K.: Climate-driven surface mass loading and stress modulation in global subduction zones, EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-11410, https://doi.org/10.5194/egusphere-egu26-11410, 2026.
Fluid geochemistry constitutes a cost-effective and fairly reliable tool in the first phase of geothermal exploration, providing insights into several characteristics of geothermal systems, such as typology, temperature, and the extension of the water recharge areas. Accordingly, a free-access web portal, exploring detailed geochemical and isotopic data of geothermal fluids (thermal springs, mineral waters, gas-rich waters and gas vents) can facilitate and accelerate preliminary reconnaissance stages of geothermal exploration. On the other hand, a public data portal can promote data sharing and reuse. However, the intrinsic heterogeneity and variability in format and provenance of geochemical data hinder the development and widespread adoption of web portals for geochemical data. As a consequence, geochemical data web portals for geothermal fluids are currently limited in scope and not comprehensive.
In the framework of the EMOTION project (funded by the INGV-MUR Pianeta Dinamico Project), we have created the EMOTION web portal, an innovative free-access national portal designed to centralise, standardise, visualise and distribute geochemical and isotopic data of geothermal manifestations in Italy. The EMOTION web portal has been specifically designed to: 1) harmonise existing geochemical and isotopic data and upload newly and updated acquired data through dedicated data and metadata structures; 2) standardise and homogenise both geochemical and isotopic data with geospatial parameters; 3) store data and metadata in a centralised, structured and dedicated database; 4) issue interactive maps for intuitive spatial data visualisation and customisable geochemical plots. The web portal assembles about 4,500 samples of fluids of geothermal interest that can be geographically visualised based on type categories and compositional information, as the user prefers.
This web-portal upholds the Open Science and FAIR principles, i.e., Findable, Accessible, Interoperable, and Reusable. It has been developed using the Free Open Source Software (FOSS) R project for statistical computing and specific modules for interactive exploratory data analysis, such as “Shiny”, “Plotly” and “Leaflet”. To encourage accessibility, openness and repeatability, all source codes as well as (meta)data are publicly available, and access to the web-portal is free-of-charge. (Meta)data use a formal, well-known and accessible language, promoting interoperability and reusability with any applications for storing, analysing and processing. Interoperability with existing data infrastructures, such as the European Plate Observing System (EPOS), can also be ensured through a dedicated web service that provides standardised access to data and metadata.
Besides supporting and facilitating geothermal exploration, the EMOTION web portal serves as a scalable model for analogous initiatives. On the other hand, the web-portal promotes geochemistry as a bridge with other disciplines in the investigation of all properties of geothermal reservoirs and can serve as an essential component of monitoring to ensure efficient and sustainable energy extraction, also encouraging stakeholders and researchers to create increasingly holistic infrastructures and platforms to achieve shared goals.
How to cite: Randazzo, A., Tamburello, G., Frigeri, A., Sbarra, M., Cantucci, B., Cinti, D., Rouwet, D., Bagnato, E., Di Renzo, D., Pecoraino, G., Voltattorni, N., Zorzi, F., Apollaro, C., Belmonte, D., Cardellini, C., Tassi, F., Venturi, S., Vespasiano, G., and Procesi, M.: The EMOTION Web-portal: Geochemical Data for Geothermal Exploration., EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-20612, https://doi.org/10.5194/egusphere-egu26-20612, 2026.
For almost two decades, the Geological Survey of Canada has been working to understand the effects of geological resource development on the environment. This research is supported by the Environmental Geoscience Program. The goal of this program is to provide leading-edge scientific information to differentiate the effects of natural resource development on the environment from those of natural processes. The development of new geoscientific approaches serves to support the responsible development and use of Canada's natural resources through informed decision-making.
In this presentation, we will take a brief look back at key past activities and focus on the series of new projects that have begun in 2024.
From 2019 to 2024, the program conducted some 15 projects in the following five themes: Baseline Characterization, Cumulative Effects, Deep Environments, Emerging Issues and Biosphere, Hydrosphere, Atmosphere. The range of projects included, among others, induced seismicity, oil sands, geological carbon sequestration and global mercury assessment with UNEP.
In its current phase (2024-2029), the program comprises a series of twelve projects, divided into 4 themes: impact assessment, regional assessments, processes and characterization. Current projects include topics as varied as the national integration of groundwater knowledge, the use of clumped isotopes to characterize nuclear waste disposal sites, the study of metals in the environment of active metalliferous regions, or the study of aquifer contamination by legacy oil and gas wells on indigenous lands.
The vastness of the Canadian territory, combined with a resource-rich subsoil, provides the opportunity to carry out a multitude of geoenvironmental projects in support of sound environmental stewardship for the benefit of local communities.
How to cite: Cotteret, G. and Bourgeois, S.: Environmental geoscience research at the Geological Survey of Canada., EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-2821, https://doi.org/10.5194/egusphere-egu26-2821, 2026.
