In January 2024, our team has launched an open, free, participative gravity-modelling initiative. The idea is to provide all the necessary, pre-processed input data to the community, so that modelling and inversion can be applied by anyone interested in constraining the shape of a geological-geophysical anomaly. This way we hope to step over hurdles related to personal biases. The full description can be found at https://zenodo.org/records/10390437

Beyond advertising the initiative, we would like to share some thoughts on the pathway to launching it: the motivation, the interest, the experienced past difficulties and further challenges on the horizon. By doing so, we hope to contribute to the goals of this session, and to foster further such (scientific and sharing) initiatives.

How to cite: Hetényi, G., Scarponi, M., and Baron, L.: Challenges to implement an open, free, participative gravity-modelling initiative, EGU General Assembly 2024, Vienna, Austria, 14–19 Apr 2024, EGU24-6386, https://doi.org/10.5194/egusphere-egu24-6386, 2024.

Born in 1994 (Geller and Ohminato 1994) and grounded in the optimally accurate operator theory (Geller and Takeuchi 1994), the Direct Solution Method (DSM) has long been a reliable force in seismic wavefield computation for spherically symmetric planets, particularly excelling in high-frequency efficiency. However, as the nowaday seismology seeks greater realism in 3D heterogeneous media, DSM has been facing substantial hurdles in its extension.

This contribution first revisits the historical successes and failures of the DSM, spotlighting its efficiency in computing seismic wavefields in spherically symmetric planets. However, the shift towards more complex models exposes DSM's limitations due to its trial functions, prompting various attempts to adapt it to 3D heterogeneous media. Analysing these endeavours, we uncover pitfalls and missteps that have hindered the extension of DSM to 3D heterogeneous media. Out critical assessment identifies common challenges, offering insights into essential modifications needed to overcome them. This contribution acts as a guide, emphasising what to avoid and illuminating potential avenues to enhance the DSM's applicability in global seismology within 3D heterogeneous contexts.

We try to elucidate the shortcomings of previous efforts, providing valuable lessons for future endeavours. By steering researchers away from ineffective approaches, we aim to catalyse innovation, paving the way for the continued relevance and effectiveness of DSM in global seismology. This comprehensive exploration serves as a roadmap, directing attention towards necessary adjustments and innovations to sustain DSM's utility amidst the dynamic landscape of seismic wavefield computation.

How to cite: Fuji, N.: Navigating challenges: Revitalising the Direct Solution Method for 3D heterogeneous media in global seismology, EGU General Assembly 2024, Vienna, Austria, 14–19 Apr 2024, EGU24-5388, https://doi.org/10.5194/egusphere-egu24-5388, 2024.

Sketch-based geological modelling with flow diagnostics provides an interactive and intuitive prototyping approach to quickly build geomodels and generate quantitative results to evaluate volumetrics and flow behaviour. This approach allows users to rapidly test the sensitivity of model outputs to different geological concepts and uncertain parameters, and informs selection of geological concepts, scales and resolutions to be investigated in more detailed models. Here we apply the sketching and prototyping approach to different aspects of geo-energy modelling and use in geoscience and engineering training.

Rapid Reservoir Modelling (RRM) is a free open-source sketch-based geological modelling tool with an intuitive interface that allows users to rapidly sketch geological models in 3D (bitbucket.org/rapidreservoirmodelling/rrm). Geological models that capture the essence of heterogeneity of interest and related uncertainty can be created within minutes. Geological operators ensure correct truncation relationships between these 3D surfaces by the modelling engine. Flow diagnostics then computes key indicators of predicted flow and storage behaviour within seconds. Example use cases and how models can be shared, will be discussed, including:

(1) Scenario screening to identify heterogeneities with the most impact on CO₂ storage. Capturing uncertainty in geological concepts cannot be achieved by changing a numerical variable but can be varied easily by sketching the different concepts, such as lateral connectivity, continuity and geometry of geological heterogeneities that act as flow barriers and pathways. Capturing multiple different concepts in conventional modelling approaches is time-consuming and in practice not often carried out.

(2) Use of mini-models and hierarchical models to derive effective properties. Models with varying complexity of heterogeneity are sketched at smallest relevant scale, and effective properties are calculated. Calculated effective properties can then be used to populated models sketched at larger scale. Sketching is free of existing restrictive templates, realistic subsurface models can be generated easily.

(3) Training of geoscientists and engineers to investigate the impact of geological interpretations on storage volumes and connectivity. Geomodels addressing all three aspects are constructed and analysed quickly, using simple, geologically intuitive workflows that do not require prior geomodelling expertise. However, using conventional modelling packages, the learning curve to create or adapt a geological model is steep and long and can distract from training objectives. Using intuitive sketch-based approach the entry point to creating a geological model is much more accessible while still maintaining the key learning, i.e. impact of geology on subsurface applications.

How to cite: Jacquemyn, C., Jackson, M. D., Hampson, G. J., Petrovskyy, D., and Geiger, S.: Sketch-based geological modelling with flow diagnostics: the digital back-of-the-envelope for 3D geology and subsurface flow, EGU General Assembly 2024, Vienna, Austria, 14–19 Apr 2024, EGU24-18124, https://doi.org/10.5194/egusphere-egu24-18124, 2024.

The “open era” of climate science is marked by an abundance of datasets across various environmental variables. While there are many evaluation studies, researchers and practitioners often still struggle to select the most suitable dataset or product for their study. The year 2023 marked the hottest year on record, resulting in a series of destructive hazard events, including heatwaves, wildfires, and floods. These conditions underscore the urgent need for enhanced preparedness in disaster risk reduction (DRR). In the field of natural hazards, environmental data are crucial for building more accurate models. We will take 'P' (precipitation) as an example in the presentation, as it's a major trigger for multiple hazards such as floods and landslides. There are dozens of publicly freely available global gridded P products available (including satellite, (re)analysis, gauge, and combinations thereof), but estimates  from different products at the same time and location can differ significantly. Currently, there is no effective platform that facilitates the sharing of quantitative information on the relative strengths and weaknesses of these P products between meteorologists and other stakeholders. To address this challenge, we propose the development of a web-based GIS platform which allows users to interactively explore the globe, click on different locations, and access various statistics and databases. Multiple P products and evaluation statistics can be accessed via the platform. We hope this platform will host multiple hazards-related datasets, fostering better collaboration between scientists in the fields of DRR and meteorology. Initially focusing on P data based on our expertise in precipitation and landslide hazard modeling, we aim to expand this resource by involving more scientists from related fields. Additionally, we plan to integrate a ChatGPT-based extension to streamline data access and enhance efficiency for researchers, practitioners, and laypeople. We want to contribute to the collective effort in creating a dynamic, accessible repository of resources and initiatives for the wider geoscience community.

How to cite: Wang, X., Beck, H., and Lombardo, L.: Towards an online GIS platform to enhance data and research sharing among meteorologists, natural hazard experts, governments, and the public, EGU General Assembly 2024, Vienna, Austria, 14–19 Apr 2024, EGU24-19782, https://doi.org/10.5194/egusphere-egu24-19782, 2024.

Submap (www.submap.fr) is a web-tool for generating maps and cross-sections, and for displaying datasets of subduction zone areas. Maps and (cross-)sections rely on the (Py)GMT library and global geophysical databases. Submap is also a mean for sharing our own Submap database, which compiles data on subduction kinematics, on the characteristics of the convergent plates and on their geometry, as well as on the seismogenic characteristics of the subduction interface along 260 transects evenly distributed across all active oceanic subduction zones.

What makes this tool so special is that one can access over 200 tectonic parameters for every transect with a single click. , as new studies are produced by the Submap team or by the wider community.

The idea of developing such a tool arose from the subduction zone comparative study carried out by Arnauld Heuret during his PhD thesis in 2005. In a first version (2009), we proposed an aid to the rapid creation of MAPS and SECTIONS using global databases (topo-bathymetry, gravimetry, age of the seafloor, seismicity) using the GMT library in a way that was transparent to the user via a query page. We then added the possibility to extract a number of characteristic parameters for the 260 transects composing the Submap database (module Sub-DATA in 2013). This database has grown over years, incorporating, for instance, new parameters describing the seismogenic zone after we published a global study on this .

In 2023, we decided to fully redesign the web-tool. A major effort has been made to facilitate the use on all types of screens (computers, tablets). We enhanced the range and the rendering of documents made available for download, and the tool was made accessible to all audiences. In terms of content, a new module called MAP-Subquake now allows to plot the rupture envelopes for selected subduction earthquakes together with the roughness of the subducting seafloor facing the ruptures. The latter dataset comes from Submap team publications in 2018. Moreover, several parameters were revised or added to the Submap dataset, such as the sediment thickness in the trench or in the subduction channel, and the kinematics. We are currently working on the geometric characteristics of the volcanic arcs and on a better representation of the strain in the upper plate, planning to update the database by the end of the year.

Submap is primarily a useful working tool for research on subduction zones, as it lists and displays a vast amount of complementary data in an optimized format that facilitates comparative analysis. It is also a meaningful tool for teaching at secondary and higher-education levels, as a support for courses or as part of tutorials or individual work for high school and university students. It can be used to quickly obtain accurate documents to support workshops, for example to determine the best segmentation criteria in order to define the seismic hazard of a zone, or simply to study the lateral variations of certain parameters of a subduction zone.

How to cite: Lallemand, S., Cerpa, N., Peyret, M., Heuret, A., Arcay, D., and van Rijsingen, E.: Submap database & web-tool milestones from their birth to their current state and future developments, EGU General Assembly 2024, Vienna, Austria, 14–19 Apr 2024, EGU24-11365, https://doi.org/10.5194/egusphere-egu24-11365, 2024.

In Italy, the National Hydrological Service named “Servizio Idrografico e Mareografico Nazionale” (SIMN) was established to collect hydro-meteorological measurements. This Service was also in charge of publishing the Hydrological Yearbooks, a standardized collection of validated measurements available in printed volumes. The dismantlement of the SIMN, performed about 30 years ago, led to the decentralization of data collection to the regional level. This shift has resulted in challenges related to the availability of comprehensive national-scale datasets since historical hydrological measurements are usually available only in the printed Yearbooks. These volumes have seen limited efforts towards digitization over time, increasing the risk of losing a large (but, so far, little exploited) wealth of information related to the hydrology of the last century.
Despite advancements in Optical Character Recognition (OCR) software, machine learning, and artificial intelligence, manual transcription remains the most accurate digitization method in certain conditions, e.g., when the ink is partially damaged or when handwritten corrections are reported. Within the SIREN (Saving Italian hydRological mEasuremeNts) project, a citizen science initiative developed on the Zooniverse platform (https://www.zooniverse.org/projects/siren-project/siren-project), hundreds of volunteers are contributing to digitizing this amount of data. Being an expert is not fundamental for being part of this citizen science project: a tutorial automatically pops out when a volunteer enters the workflow, illustrating all the key characteristics of the Yearbooks and how to interpret them, enriched with a step-by-step description of all the phases of the digitization workflow. To minimize digitization errors, each table is digitized by at least 2 different volunteers, and discrepancies are manually checked and corrected.
The time series collected up to now are currently undergoing a detailed quality control procedure to ensure the reliability of the dataset that will be created. The final dataset will be made available on Zenodo in the upcoming months.
The SIREN project represents thus a collaborative effort to bridge the historical hydrological data gap, offering valuable insights for both local and national-scale analyses and aiding in the refinement of models predicting current and future hydrological trends.

How to cite: Mazzoglio, P., Bertola, M., Lombardo, L., Sacco, C., Viglione, A., Laio, F., and Claps, P.: Increasing the availability of Italian daily hydrological measurements with a citizen science approach: the SIREN project, EGU General Assembly 2024, Vienna, Austria, 14–19 Apr 2024, EGU24-2080, https://doi.org/10.5194/egusphere-egu24-2080, 2024.

Across Europe, a wide variety of public and private organisations require climate hazard and impact data both to improve understanding of current and changing risks and inform adaptation measures. Climate hazard and impact data currently require considerable technical expertise to access, download and interrogate creating a barrier for policy makers, local authorities, non-governmental and citizen organisations, and other interested parties. In the UK, the Met Office, in partnership with ESRI, has created a Climate Data Portal to address this issue. It provides a selection of climate data and supporting documentation in user friendly, ready-to-use data formats. Built using ArcGIS Hub, Esri’s cloud-based data engagement platform, the portal makes it much easier for users to view climate data geospatially and analyse climate change projections alongside their own data. Datasets currently available include a selection of historical climate records, climate projections and climate change impact metrics. The authors have also been exploring ways to use the platform to provide bespoke information for different sectors, including Local Authorities which are elected bodies that provide a range of services for particular geographical areas. This presentation will include a brief demonstration of the portal.

How to cite: Sanderson, M., Woods, A., Marshall, C., Stevens, L., Veal, A., Ramsey, V., Hodge, K., Mitchell, T., Richardson, M., Lowe, J., and Chapter, S.: Improving access to climate information: The Met Office Climate Data Portal, EGU General Assembly 2024, Vienna, Austria, 14–19 Apr 2024, EGU24-16433, https://doi.org/10.5194/egusphere-egu24-16433, 2024.

Although open science practices have become the standard in disseminating research to research communities, there is a strong discrepancy between declarative principles and actual practice. While this gap has been minimized in some science systems, by certain journal publishers, and in scientific disciplines, there is still a long pathway to fully realizing open science principles. One aspect of open science is the open research data policy, which includes integrating research data with articles, guided by FAIR (Findability, Accessibility, Interoperability, and Reuse) principles, particularly emphasizing the reproducibility of research for which open research data is a prerequisite.  This principle applies to the field of ocean sciences, which is rapidly evolving with new technological advancements.

Therefore, we conducted a comprehensive global analysis of research data availability in oceanography over the 5-year period (2018-2022). This analysis involved a randomized selection of 1000 scientific papers in total (200 per year) indexed in the Web of Science Core Collection under the category “Oceanography”. Our investigation encompasses a broad spectrum of oceanographic parameters, spanning sea surface temperatures, ocean currents, sea-level, salinity, and biological indicators, both measured and modelled. We aimed to examine data sharing principles associated with papers, both at a declarative level (i.e., following a data availability statement, if any) and in reality (i.e., checking whether the data is available from public repositories or provided by authors). Our analysis included bibliometric and publications data (e.g., number of authors, country of the corresponding author, multi-country authorship, publisher, journal, impact factor, number of citations, existence and form of a data availability statement, real data availability). Additionally, we contacted corresponding authors to inquire about the data availability, especially if the data was not already accessible from public repositories. With such approach, we aim to highlight the current state of data availability in oceanography and track changes since the introduction of FAIR principles to the research community, ultimately fostering a collaborative and open research culture.

How to cite: Dunic, N. and Vilibic, I.: Advancing Open Science in Oceanography: A Global Assessment of Data Availability and Sharing Practices, EGU General Assembly 2024, Vienna, Austria, 14–19 Apr 2024, EGU24-18547, https://doi.org/10.5194/egusphere-egu24-18547, 2024.

Today’s open science environment, in combination with the Big Data era, means more scientific data, software, tools, documentation, publications and other resources are available than ever. The promise of the open science era is that scientists will spend less time reinventing the wheel and more time doing actionable research. Yet navigating this vast and complex information landscape can feel overwhelming to scientists trying to get their bearings. In this presentation, we define and discuss the importance of scientific content curation for enhancing discovery and use of scientific data and information. We also share two examples of scientific content curation in action: the Catalog of Archived Suborbital Earth Science Investigations (CASEI) and the Science Discovery Engine (SDE). 

How to cite: Bugbee, K., Smith, D., Wingo, S., and Foshee, E.: Scientific Content Curation In An Open Science Era , EGU General Assembly 2024, Vienna, Austria, 14–19 Apr 2024, EGU24-12302, https://doi.org/10.5194/egusphere-egu24-12302, 2024.

The Open Science movement has reached a point where the publication of research data and the creation of data management plans are required by both research funders and research institutions for the approval of research projects. Geoscientific data, in particular, are subject to various data laws. Examples for Germany are the Geological Data Act of 2020, the Geodata Access Act, the Data Use Act and the planned Research Data Act. In addition, all outputs along the lifecycle of research results – including samples, datasets, data reports, research software, scientific papers – are required to be made available/published according to the principles of Open Science and FAIR. This makes the research process increasingly transparent and visible, and at the same time makes the workflows more complex and challenging, especially in communities with low levels of digitalisation.

The Specialized Information Service for Geosciences is a library-based infrastructure funded by the German Research Foundation (DFG), which provides various services for the publication of different research results and for supporting the German-based geoscience community in handling their research processes. Research data and software can be published via our associated geosciences domain repository GFZ Data Services, hosted at the German Research Centre for Geosciences in Potsdam. Scientific contributions in the form of scientific articles, conference proceedings etc. can be published via our domain repository for texts and geological maps GEO-LEOe-docs, hosted at the Goettingen State and University Library. Another central service of FID GEO is consulting and training. Here we support our community by training them how to publish and link their research results in the best possible way and how to make the complex research processes involved more practicable. We inform and reach out to our community through conference presentations, workshops, individual and group consultations. In addition, FID GEO supports the digitisation and publication of older data, research results and publications.

Standardisation in the publication of research outputs in the geosciences takes place at very different levels. In geodesy and geophysics, for example, there are already well-established global standards, while in other disciplines there are even regional differences in the description of research results. This means that data curation alone is still very complex. Our experience in recent years has shown that information infrastructures such as FID GEO can act as a hub between different specialist groups so that they can learn from each other and benefit from their experiences.

How to cite: Lorenz, M., Elger, K., Achterberg, I., and Semmler, M.: FID GEO – a hub for the publication and the connection of diverse research results and groups in Germany, EGU General Assembly 2024, Vienna, Austria, 14–19 Apr 2024, EGU24-17536, https://doi.org/10.5194/egusphere-egu24-17536, 2024.

The Rifts and Rifted Margins Seminar is a community-based, international online seminar series. It unites multi-disciplinary expertise in the fields of geology, geophysics, and geochemistry, and aims at covering both fundamental and applied research aspects. The series caters primarily to the community working on active rifts and the one that focusses on rifted margins. We aim to bridge these communities while further, building links to neighboring disciplines.

The seminar series started in June 2020 and has hosted about 70 seminars with roughly 200 individual talks¹. Each seminar session is structured as a one-hour Zoom meeting held on Monday afternoon European time. Originally a bi-weekly meeting, the seminar has switched to a monthly rhythm since summer 2022. If speakers agree, their presentations are recorded and shared on the seminar’s YouTube channel².

We have encountered several challenges since the inception of this project – from technical hurdles to defining the scientific scope of the seminars. We have adopted a technical setup that utilises Zoom for video conferencing, accommodating over 100 attendees at times, DFN³ for broadcasting invitations to a mailing list of more than 700 subscribers, and YouTube for hosting seminar recordings that have gained approximately 40,000 views². In contrast to the majority of other online seminars, we host three speakers per session, each at different career levels (senior, mid-level, and early career/student) and where possible, from different gender/ethnic groups, delivering a talk of 13-15 minutes length. These presentations concentrate on a single scientific subject, albeit from varied viewpoints. We believe that this setup ensures a more diverse perspective and enhances the discourse. On the downside, it complicates the scheduling of sessions.

In total, 10 researchers have contributed to organizing this seminar series since 2020. To meet individual time commitments and to ensure influx of new ideas, the initial team of organizers has been steadily replaced. The pandemic has seen the emergence of many online seminars which have played a key role in maintaining community connections during that time. The principal advantage of online seminars however endures beyond the pandemic: they enable the exchange of knowledge without the need for travel and with a minimal carbon footprint, accessible to anybody with an internet connection, and at no cost.

[1] https://www.gfz-potsdam.de/sektion/geodynamische-modellierung/projekte/rift-and-rifted-margins-online-seminar

[2] https://www.youtube.com/@riftandriftedmarginsonline1714/playlists

[3] https://www.dfn.de/

How to cite: Brune, S., Welford, J. K., Kolawole, F., Keir, D., and Péron-Pinvidic, G.: Exchanging knowledge in community online seminars: lessons learned from the Rifts and Rifted Margins Seminar series, EGU General Assembly 2024, Vienna, Austria, 14–19 Apr 2024, EGU24-14670, https://doi.org/10.5194/egusphere-egu24-14670, 2024.

Field teaching and research in the High Arctic is costly, both economically and in terms of environmental impact. In the Norwegian archipelago of Svalbard (74-81°N, 15-35°E), the field season is defined by the extreme annual daylight cycle, with a 4 month long polar night and midnight sun from late April to late August. The University Centre in Svalbard (UNIS) in Longyearbyen serves as Norway’s field university. Arctic Geology courses at UNIS make use of the excellent vegetation-free outcrops exhibiting various lithologies and tectono-magmatic structures.

At UNIS, geological fieldwork is mostly conducted in the snow free summer with focus on coastal localities accessible by hiking and boats. The snow-covered “spring” season in March and April allows access to inland locations on snowmobiles, but only steep cliffs are snow-free and accessible for investigations.  Irrespective of the time of the year, the harsh Arctic weather conditions, presence of wildlife (i.e. polar bears) and safe access to outcrops (e.g., strenuous hiking in steep terrain) routinely requires adjusting the field plans. In addition, the short field season(s) often only allow relatively short single field site visits. To make most efficient use of the field excursions, we have since 2016 built and developed Svalbox – an effort to systematically digitize Svalbard’s outcrops through digital outcrop models (DOMs) and photospheres integrated with other geoscientific data sets (maps, geophysical data, terrain models, borehole data etc.). 

Starting as an educational tool at UNIS to facilitate year-round (digital) fieldwork and quantitative analyses on outcrops, Svalbox has in recent years become an important resource for the wider geoscientific community. Svalbox comprises three main elements; 1) A database of freely accessible DOMs. 2) An open portal for visualising drone-based virtual field trips (VFTs) and 3) Thematic data packages integrating various data sets for UNIS courses or specific research projects. 

In this contribution, we present all these three Svalbox elements. The database itself, visualised via www.svalbox.no/map, offers a growing number of DOMs and photospheres (i.e. 360 images) from all over Svalbard. Both incorporate georeferenced photographs acquired with consumer cameras and drones (DJI Mavic 2 and 3 in particular). The DOMs are processed with structure-from-motion photogrammetry using the Metashape software. DOMs and photospheres are fully downloadable, including the processing reports  and all associated input data , facilitating reprocessing if needed. Curated data packages are integrated as VFTs and are accessible through a dedicated web portal, www.vrsvalbard.com/map with thematic groupings for specific UNIS courses and larger-scale research projects. 

Thematic data packages are generated from UNIS-internal databases (onshore and offshore seismic data, boreholes, digitized maps, cross sections, and sedimentary logs in publications etc.) and openly available datasets (digital terrain models, bathymetry, geophysical grids, maps etc.)  where data are spatially connected in single software projects (e.g., Petrel, GPlates) for specific courses or projects. 

At this stage, we strive for expanded usage of Svalbox beyond UNIS. In particular, we invite the geoscience and data analytics community to use the exponentially growing number of DOMs to test and train machine learning algorithms for (semi-)automatic interpretation of DOMs.

How to cite: Senger, K., Betlem, P., Horota, R., Mosočiová, T., Rodes, N., and Smyrak-Sikora, A.: Svalbox – from an educational tool to systematic digitization of Svalbard, EGU General Assembly 2024, Vienna, Austria, 14–19 Apr 2024, EGU24-7637, https://doi.org/10.5194/egusphere-egu24-7637, 2024.

This presentation provides an overview of the open source training materials produced by the EUMETSAT Atmospheric Composition training team. The training materials covered in this presentation include: (1) LTPy - the Learning Tool for Python on Atmospheric Composition Data, (2) FANGS - Fire Applications with Next-Generation Satellites, (3) Dust Aerosol Detection, Monitoring and Forecasting, and (4) a self-paced training course on Identifying and Quantifying Dust using Satellite Data. 

The first three sets of training materials were developed using Jupyter notebooks, which allow for a high-level of interactive learning, as it makes code, instructions and visualisations available in the same location. Executable notebooks are available on a dedicated Jupyterhub-based course platform which has the required programming environment and data already preinstalled. In addition, an accompanying Jupyter Book is also available for two of the training modules. The final self-paced training course consists of a series of mini-modules on the Moodle platform.

The Learning tool for Python on Atmospheric Composition Data is a Python-based training course on Atmospheric Composition Data. The training course covers notebooks on data access, handling and processing, visualisation, case studies and exercises. LTPy features data from six different satellites, including the Copernicus satellites Sentinel-3 and Sentinel-5 as well as the polar-orbiting meteorological satellite series, Metop, and five different model-based product types from the two Copernicus services on Atmosphere Monitoring (CAMS) and Emergency Management (CEMS). The course facilitates the uptake and use of atmospheric composition data and showcases possible application areas. 

FANGS - Fire Applications with Next-Generation Satellites features Python-based training material and application cases on fire detection and monitoring of the fire life-cycle. The training material makes use of proxy and simulated data, including data from precursor instruments of the Meteosat Third Generation (MTG) and EUMETSAT Polar System - Second Generation (EPS-SG) satellite missions. The training material consists of modular Jupyter notebook case studies on the 2020 wildfires in California, USA and the Mediterranean wildfires in 2021. In total, 24 notebooks were developed comprising five narrative notebooks and 19 workflow notebooks. 

The training course on ‘Dust Aerosol Detection, Monitoring and Forecasting’ provides a hands-on introduction to satellite-, ground- and model-based data used for dust monitoring and forecasting. This Python-based course is organised in three main chapters: (i) observations (satellite- and ground-based), (ii) forecast models and a (iii) practical case study. It features twelve different datasets derived from satellites, ground-based measurement networks and forecast models. The course material is developed in the form of well-described and modular Jupyter notebooks. In total, the course consists of 17 notebooks; 12 data workflows and five practical exercise notebooks.

This presentation finally introduces a self-paced training course on identifying and quantifying dust using satellite data. This course is targeted at two audiences, namely, forecasters and researchers. At the end of the self-paced course, learners would have gained the skills to either (1) visualise dust events using Level 1 and Level 2 satellite data or (2) plot and interpret a time series of dust aerosol optical depth (AOD). 

How to cite: Szeto, S. H., Wagemann, J., Ungur, M., Fierli, F., Mantovani, S., and Wannop, S.: Applications of Atmospheric Composition Data: Open Source Training Materials by EUMETSAT, EGU General Assembly 2024, Vienna, Austria, 14–19 Apr 2024, EGU24-20245, https://doi.org/10.5194/egusphere-egu24-20245, 2024.

The Deep Network is an initiative which brings together multidisciplinary practitioners who in some way support adults outside of formal learning environments. Deep Network members are supporting adults to become ocean literate and effectively motivating learners to actively participate in pro-climate action and marine sustainability. To achieve the ambitious targets set out in the SDGs, our adult population must learn not only to recognise economic, social, and environmental challenges but also act upon this knowledge. In this session, we will present specific barriers that adult learners experience and acknowledge the challenge of participation in non-formal education, and also address scientists’ limitations of time, funding, and partnerships for these types of initiatives. We will present how the Deep Network responds to these needs, providing space for informal and interactive collaboration between marine researchers, educators, and activists. Over 40 active participants from more than 10 countries participated in Deep Network online Hub Meetings to present their educational initiatives. They developed new partnerships and support the curation of an online library of inspiring practice. The overarching consensus in post-meeting evaluations was that learning about and recognizing the value in different methodologies and audiences of initiatives was inspiring and gave participants tangible ideas as well as hope and motivation to continue developing much needed educative materials for adult learners. This is also a strong motivator for participants to use the Deep Network as a springboard for future interdisciplinary collaborations. In this presentation we will detail the conclusions of the Deep Network meetings and show how practitioners learnt from and with each other to build capacity in marine sustainability and adult education. We conclude by making recommendations for future practice.

How to cite: Johansen, C.: The Deep Network - Curating and co-producing quality ocean-education information for adults, EGU General Assembly 2024, Vienna, Austria, 14–19 Apr 2024, EGU24-7704, https://doi.org/10.5194/egusphere-egu24-7704, 2024.

Launched in early 2022, the s-Ink project makes high-quality (geo)scientific figures freely available via an always-on online platform, https://s-ink.org. The website hosts figures that can be searched and downloaded by everyone, including students, researchers, teachers, the media, and the public. Hosted content is intentionally broad in nature, and can include data visualisations, animations, artistic impressions, icons, templates, and more.

The open graphics collection, that is also designed for you to share your own graphics, is built around the fundamental principles of science: accuracy, accessibility, and acknowledgment. First, the graphics hosted on s-ink.org are subject to transparent and permanent community-review, versioned and therefore updatable to the latest understanding – an academic novelty. Second, s-Ink graphics are, without exception, universally readable, also to colour-blind viewers – an academic rarity. Third, all content has metadata and is licenced (e.g., via Creative Commons), so those who create the images and the sources they are based on will receive credit.

The s-Ink.org initiative is currently coordinated by three scientists, working on a volunteer-based approach with non-permanent contracts (one a free-lancer, two with the backing of employers). We are finding financial sponsors to cover the minimal costs involved and actively bridge other valuable community initiatives by hosting their graphical and providing our educational resources.

Both the collection and the contributing creators are ever-growing, and the rising views and downloads are signalling the demand. The open collection of geoscience graphics that we envisage (see Crameri et al., 2022) is of direct use well beyond to geoscience community. Indeed, somewhat of a holy grail to science communication.

Crameri, F., G.E. Shephard, and E.O. Straume (2022, Pre-print), The open collection of geoscience graphics, EarthArXiv, https://doi.org/10.31223/X51P78

How to cite: Straume, E. O., Shephard, G., and Crameri, F.: Building and establishing the open collection of geoscience graphics, EGU General Assembly 2024, Vienna, Austria, 14–19 Apr 2024, EGU24-16864, https://doi.org/10.5194/egusphere-egu24-16864, 2024.