https://w3id.org/np/RAiOoxW3FLPE634MofF7NTGz8h2mLNpzUEX1XkT7LxBcA/Head https://w3id.org/np/RAiOoxW3FLPE634MofF7NTGz8h2mLNpzUEX1XkT7LxBcA http://www.nanopub.org/nschema#hasAssertion https://w3id.org/np/RAiOoxW3FLPE634MofF7NTGz8h2mLNpzUEX1XkT7LxBcA/assertion https://w3id.org/np/RAiOoxW3FLPE634MofF7NTGz8h2mLNpzUEX1XkT7LxBcA http://www.nanopub.org/nschema#hasProvenance https://w3id.org/np/RAiOoxW3FLPE634MofF7NTGz8h2mLNpzUEX1XkT7LxBcA/provenance https://w3id.org/np/RAiOoxW3FLPE634MofF7NTGz8h2mLNpzUEX1XkT7LxBcA http://www.nanopub.org/nschema#hasPublicationInfo https://w3id.org/np/RAiOoxW3FLPE634MofF7NTGz8h2mLNpzUEX1XkT7LxBcA/pubinfo https://w3id.org/np/RAiOoxW3FLPE634MofF7NTGz8h2mLNpzUEX1XkT7LxBcA http://www.w3.org/1999/02/22-rdf-syntax-ns#type http://www.nanopub.org/nschema#Nanopublication https://w3id.org/np/RAiOoxW3FLPE634MofF7NTGz8h2mLNpzUEX1XkT7LxBcA/assertion http://eurovoc.europa.eu/2114 http://schema.org/description http://eurovoc.europa.eu/2114 http://schema.org/name Oceanography http://eurovoc.europa.eu/2114 http://www.w3.org/1999/02/22-rdf-syntax-ns#type http://schema.org/DefinedTerm http://eurovoc.europa.eu/3949 http://schema.org/description http://eurovoc.europa.eu/3949 http://schema.org/name Applied sciences http://eurovoc.europa.eu/3949 http://www.w3.org/1999/02/22-rdf-syntax-ns#type http://schema.org/DefinedTerm http://w3id.org/ro-id/rohub/model#funder/9aa2685b-e6cc-4cbc-b392-8e194c038632 http://purl.org/ontology/bibo/doi 10.3030/101188256 http://w3id.org/ro-id/rohub/model#funder/9aa2685b-e6cc-4cbc-b392-8e194c038632 http://schema.org/name European Commission http://w3id.org/ro-id/rohub/model#funder/9aa2685b-e6cc-4cbc-b392-8e194c038632 http://www.w3.org/1999/02/22-rdf-syntax-ns#type http://schema.org/Organization https://coast.ifremer.fr/Laboratoires-Environnement-Ressources/LER-Pertuis-Charentais-La-Tremblade/Projets/RIOMAR-2024-2030 http://schema.org/author https://orcid.org/0000-0002-1784-2920 https://coast.ifremer.fr/Laboratoires-Environnement-Ressources/LER-Pertuis-Charentais-La-Tremblade/Projets/RIOMAR-2024-2030 http://schema.org/contentUrl https://coast.ifremer.fr/Laboratoires-Environnement-Ressources/LER-Pertuis-Charentais-La-Tremblade/Projets/RIOMAR-2024-2030 https://coast.ifremer.fr/Laboratoires-Environnement-Ressources/LER-Pertuis-Charentais-La-Tremblade/Projets/RIOMAR-2024-2030 http://schema.org/creator https://orcid.org/0000-0002-1784-2920 https://coast.ifremer.fr/Laboratoires-Environnement-Ressources/LER-Pertuis-Charentais-La-Tremblade/Projets/RIOMAR-2024-2030 http://schema.org/dateCreated 2025-01-25 15:34:20.283153+00:00 https://coast.ifremer.fr/Laboratoires-Environnement-Ressources/LER-Pertuis-Charentais-La-Tremblade/Projets/RIOMAR-2024-2030 http://schema.org/dateModified 2025-10-14 08:33:30.490015+00:00 https://coast.ifremer.fr/Laboratoires-Environnement-Ressources/LER-Pertuis-Charentais-La-Tremblade/Projets/RIOMAR-2024-2030 http://schema.org/description # The French Project RIOMar (River-dominated Ocean Margins) The French project **RIOMar** (River-dominated Ocean Margins), a winner of the *"Ocean & Climate" Priority Research Program*, focuses on an in-depth study of the environment in five major coastal areas of mainland France influenced by rivers. Its objective is to provide scientifically grounded solutions to maintain or restore sustainable ecosystems in regions particularly affected by climate change and anthropogenic inputs transported and deposited by rivers. --- ## Scientifically Grounded Solutions to Mitigate Risks to Vulnerable Coastal Ecosystems Coastal areas are crucial for humanity, especially those dominated by rivers flowing into the ocean. Their future evolution poses a significant challenge, as it is estimated that **80% of the global population will live within 40 kilometers of the coast by 2030**. At the intersection of land and sea, **estuaries, lagoons, and deltas** experience daily interactions between freshwater and marine waters. The major estuaries of France (*Seine, Loire, and Gironde*) and the Rhône delta are just a few examples of these "transitional" environments along the French coastline. Currently, the **885 coastal municipalities of mainland France** account for over **10% of the population**. According to recent estimates (*source: Ministry of Ecological Transition*), an additional **4.5 million inhabitants** are expected to settle in these regions by 2040. In such conditions, the **coastal ocean environment** in these areas will become increasingly vulnerable to various combined human and climate-induced stressors: - Warming - Acidification - Eutrophication* - Hypoxia* - Contamination - Extreme events Simulating their evolution under the combined influence of **anthropogenic pressure and climate change** is a major challenge. The number of unknown and often unpredictable parameters is considerable. Addressing this requires a **comprehensive approach**, grounded in the **multidisciplinary analysis** of the numerous environmental factors affecting these coastal zones. The knowledge generated will enable the **co-construction of scientifically based solutions** with environmental managers for the **sustainable development** of coastal areas. --- ## An Original, Multidisciplinary, and Innovative Integrated Approach Spanning **six years (2022-2028)**, the RIOMar (*River-dominated Ocean Margins*) project aims to tackle all these challenges. Scientific studies within the project focus on five major coastal areas in mainland France influenced by large rivers: - The Seine - The Loire - The Gironde - The Rhône - The Charente Various scenarios for future evolution will be explored in collaboration with numerous stakeholders from these regions. **Relevant indicators** will be developed, in consultation with environmental managers, to propose **tailored and sustainable solutions** for public policies. --- ### Glossary - **Eutrophication**: The excessive enrichment of water with nutrients, leading to algal blooms and oxygen depletion. - **Hypoxia**: Low oxygen levels in water, threatening aquatic life. https://coast.ifremer.fr/Laboratoires-Environnement-Ressources/LER-Pertuis-Charentais-La-Tremblade/Projets/RIOMAR-2024-2030 http://schema.org/license https://creativecommons.org/licenses/by/4.0/legalcode https://coast.ifremer.fr/Laboratoires-Environnement-Ressources/LER-Pertuis-Charentais-La-Tremblade/Projets/RIOMAR-2024-2030 http://schema.org/name RIOMAR project (2024-2030) https://coast.ifremer.fr/Laboratoires-Environnement-Ressources/LER-Pertuis-Charentais-La-Tremblade/Projets/RIOMAR-2024-2030 http://schema.org/sdDatePublished 2025-01-25 15:34:20.283153+00:00 https://coast.ifremer.fr/Laboratoires-Environnement-Ressources/LER-Pertuis-Charentais-La-Tremblade/Projets/RIOMAR-2024-2030 http://www.w3.org/1999/02/22-rdf-syntax-ns#type http://purl.org/wf4ever/wf4ever#Resource https://coast.ifremer.fr/Laboratoires-Environnement-Ressources/LER-Pertuis-Charentais-La-Tremblade/Projets/RIOMAR-2024-2030 http://www.w3.org/1999/02/22-rdf-syntax-ns#type http://schema.org/MediaObject https://coast.ifremer.fr/Laboratoires-Environnement-Ressources/LER-Pertuis-Charentais-La-Tremblade/Projets/RIOMAR-2024-2030 http://www.w3.org/1999/02/22-rdf-syntax-ns#type http://schema.org/Thing https://data-fair2adapt.ifremer.fr/riomar//misc/croco_grd.nc http://schema.org/author https://orcid.org/0000-0002-1784-2920 https://data-fair2adapt.ifremer.fr/riomar//misc/croco_grd.nc http://schema.org/contentUrl https://data-fair2adapt.ifremer.fr/riomar//misc/croco_grd.nc https://data-fair2adapt.ifremer.fr/riomar//misc/croco_grd.nc http://schema.org/creator https://orcid.org/0000-0002-1784-2920 https://data-fair2adapt.ifremer.fr/riomar//misc/croco_grd.nc http://schema.org/dateCreated 2025-01-25 16:54:25.280358+00:00 https://data-fair2adapt.ifremer.fr/riomar//misc/croco_grd.nc http://schema.org/dateModified 2025-10-14 08:33:37.297165+00:00 https://data-fair2adapt.ifremer.fr/riomar//misc/croco_grd.nc http://schema.org/description This is the grid of the Croco model used to generate RiOMar data. https://data-fair2adapt.ifremer.fr/riomar//misc/croco_grd.nc http://schema.org/encodingFormat application/x-netcdf https://data-fair2adapt.ifremer.fr/riomar//misc/croco_grd.nc http://schema.org/license https://creativecommons.org/licenses/by-nc/4.0/legalcode https://data-fair2adapt.ifremer.fr/riomar//misc/croco_grd.nc http://schema.org/name Croco grid netCDF file https://data-fair2adapt.ifremer.fr/riomar//misc/croco_grd.nc http://schema.org/sdDatePublished 2025-01-25 16:54:25.280358+00:00 https://data-fair2adapt.ifremer.fr/riomar//misc/croco_grd.nc http://www.w3.org/1999/02/22-rdf-syntax-ns#type http://purl.org/wf4ever/wf4ever#Dataset https://data-fair2adapt.ifremer.fr/riomar//misc/croco_grd.nc http://www.w3.org/1999/02/22-rdf-syntax-ns#type http://purl.org/wf4ever/wf4ever#Resource https://data-fair2adapt.ifremer.fr/riomar//misc/croco_grd.nc http://www.w3.org/1999/02/22-rdf-syntax-ns#type http://schema.org/MediaObject https://data-fair2adapt.ifremer.fr/riomar/GAMAR/ http://schema.org/author https://orcid.org/0000-0002-1784-2920 https://data-fair2adapt.ifremer.fr/riomar/GAMAR/ http://schema.org/contentUrl https://data-fair2adapt.ifremer.fr/riomar/GAMAR/ https://data-fair2adapt.ifremer.fr/riomar/GAMAR/ http://schema.org/creator https://orcid.org/0000-0002-1784-2920 https://data-fair2adapt.ifremer.fr/riomar/GAMAR/ http://schema.org/dateCreated 2025-01-25 15:43:13.218913+00:00 https://data-fair2adapt.ifremer.fr/riomar/GAMAR/ http://schema.org/dateModified 2025-10-14 08:33:31.079615+00:00 https://data-fair2adapt.ifremer.fr/riomar/GAMAR/ http://schema.org/description All the RiOMar datasets were generated on the HPC of IFREMER (Brest, France) and made accessible to everyone on the IFREMER DATAMOR. https://data-fair2adapt.ifremer.fr/riomar/GAMAR/ http://schema.org/license https://creativecommons.org/licenses/by/4.0/legalcode https://data-fair2adapt.ifremer.fr/riomar/GAMAR/ http://schema.org/name RiOMar datasets https://data-fair2adapt.ifremer.fr/riomar/GAMAR/ http://schema.org/sdDatePublished 2025-01-25 15:43:13.218913+00:00 https://data-fair2adapt.ifremer.fr/riomar/GAMAR/ http://www.w3.org/1999/02/22-rdf-syntax-ns#type http://purl.org/wf4ever/wf4ever#Dataset https://data-fair2adapt.ifremer.fr/riomar/GAMAR/ http://www.w3.org/1999/02/22-rdf-syntax-ns#type http://purl.org/wf4ever/wf4ever#Resource https://data-fair2adapt.ifremer.fr/riomar/GAMAR/ http://www.w3.org/1999/02/22-rdf-syntax-ns#type http://schema.org/MediaObject https://data-fair2adapt.ifremer.fr/riomar/GAMAR/GAMAR_1h_inst_Y2006M01.nc http://schema.org/author https://orcid.org/0000-0002-1784-2920 https://data-fair2adapt.ifremer.fr/riomar/GAMAR/GAMAR_1h_inst_Y2006M01.nc http://schema.org/contentUrl https://data-fair2adapt.ifremer.fr/riomar/GAMAR/GAMAR_1h_inst_Y2006M01.nc https://data-fair2adapt.ifremer.fr/riomar/GAMAR/GAMAR_1h_inst_Y2006M01.nc http://schema.org/creator https://orcid.org/0000-0002-1784-2920 https://data-fair2adapt.ifremer.fr/riomar/GAMAR/GAMAR_1h_inst_Y2006M01.nc http://schema.org/dateCreated 2025-01-25 16:56:08.727634+00:00 https://data-fair2adapt.ifremer.fr/riomar/GAMAR/GAMAR_1h_inst_Y2006M01.nc http://schema.org/dateModified 2025-10-14 08:33:36.972118+00:00 https://data-fair2adapt.ifremer.fr/riomar/GAMAR/GAMAR_1h_inst_Y2006M01.nc http://schema.org/description Raw RiOMar dataset generated by the Croco RiOMar numerical model. It corresponds to one month of simulation (January 2006). https://data-fair2adapt.ifremer.fr/riomar/GAMAR/GAMAR_1h_inst_Y2006M01.nc http://schema.org/encodingFormat application/x-netcdf https://data-fair2adapt.ifremer.fr/riomar/GAMAR/GAMAR_1h_inst_Y2006M01.nc http://schema.org/license https://creativecommons.org/licenses/by/4.0/legalcode https://data-fair2adapt.ifremer.fr/riomar/GAMAR/GAMAR_1h_inst_Y2006M01.nc http://schema.org/name RiOMar netCDF dataset January 2006 https://data-fair2adapt.ifremer.fr/riomar/GAMAR/GAMAR_1h_inst_Y2006M01.nc http://schema.org/sdDatePublished 2025-01-25 16:56:08.727634+00:00 https://data-fair2adapt.ifremer.fr/riomar/GAMAR/GAMAR_1h_inst_Y2006M01.nc http://www.w3.org/1999/02/22-rdf-syntax-ns#type http://purl.org/wf4ever/wf4ever#Dataset https://data-fair2adapt.ifremer.fr/riomar/GAMAR/GAMAR_1h_inst_Y2006M01.nc http://www.w3.org/1999/02/22-rdf-syntax-ns#type http://purl.org/wf4ever/wf4ever#Resource https://data-fair2adapt.ifremer.fr/riomar/GAMAR/GAMAR_1h_inst_Y2006M01.nc http://www.w3.org/1999/02/22-rdf-syntax-ns#type http://schema.org/MediaObject https://data-fair2adapt.ifremer.fr/riomar/small.zarr/ http://schema.org/author https://orcid.org/0000-0002-1784-2920 https://data-fair2adapt.ifremer.fr/riomar/small.zarr/ http://schema.org/contentUrl https://data-fair2adapt.ifremer.fr/riomar/small.zarr/ https://data-fair2adapt.ifremer.fr/riomar/small.zarr/ http://schema.org/creator https://orcid.org/0000-0002-1784-2920 https://data-fair2adapt.ifremer.fr/riomar/small.zarr/ http://schema.org/dateCreated 2025-01-25 15:46:08.361514+00:00 https://data-fair2adapt.ifremer.fr/riomar/small.zarr/ http://schema.org/dateModified 2025-10-14 08:33:31.384316+00:00 https://data-fair2adapt.ifremer.fr/riomar/small.zarr/ http://schema.org/description Small Zarr file generated from the original RiOMar data by selecting a few timestep to reduce the total size and make it easier to write Jupyter notebook examplifying the transformation from the original grid to DGGS Healpix grid. https://data-fair2adapt.ifremer.fr/riomar/small.zarr/ http://schema.org/license https://creativecommons.org/licenses/by/4.0/legalcode https://data-fair2adapt.ifremer.fr/riomar/small.zarr/ http://schema.org/name https://data-fair2adapt.ifremer.fr/riomar/small.zarr/ https://data-fair2adapt.ifremer.fr/riomar/small.zarr/ http://schema.org/sdDatePublished 2025-01-25 15:46:08.361514+00:00 https://data-fair2adapt.ifremer.fr/riomar/small.zarr/ http://www.w3.org/1999/02/22-rdf-syntax-ns#type http://purl.org/wf4ever/wf4ever#Dataset https://data-fair2adapt.ifremer.fr/riomar/small.zarr/ http://www.w3.org/1999/02/22-rdf-syntax-ns#type http://purl.org/wf4ever/wf4ever#Resource https://data-fair2adapt.ifremer.fr/riomar/small.zarr/ http://www.w3.org/1999/02/22-rdf-syntax-ns#type http://schema.org/MediaObject https://data-fair2adapt.ifremer.fr/riomar/small_healpix.zarr/ http://purl.org/wf4ever/wfdesc#hasInput https://w3id.org/ro-id/a0007726-0f5b-4ccb-a160-f350d669805e/resources/b341a342-a31c-47fe-8df3-5273cb0d6f6c https://data-fair2adapt.ifremer.fr/riomar/small_healpix.zarr/ http://schema.org/author https://orcid.org/0000-0002-1784-2920 https://data-fair2adapt.ifremer.fr/riomar/small_healpix.zarr/ http://schema.org/contentUrl https://data-fair2adapt.ifremer.fr/riomar/small_healpix.zarr/ https://data-fair2adapt.ifremer.fr/riomar/small_healpix.zarr/ http://schema.org/creator https://orcid.org/0000-0002-1784-2920 https://data-fair2adapt.ifremer.fr/riomar/small_healpix.zarr/ http://schema.org/dateCreated 2025-01-25 15:48:58.856359+00:00 https://data-fair2adapt.ifremer.fr/riomar/small_healpix.zarr/ http://schema.org/dateModified 2025-10-14 08:33:31.701166+00:00 https://data-fair2adapt.ifremer.fr/riomar/small_healpix.zarr/ http://schema.org/description A sample dataset in DGGS Level 12 Healpix https://data-fair2adapt.ifremer.fr/riomar/small_healpix.zarr/ http://schema.org/license https://creativecommons.org/licenses/by/4.0/legalcode https://data-fair2adapt.ifremer.fr/riomar/small_healpix.zarr/ http://schema.org/name RiOMar DGGS Healpix Level 12 data https://data-fair2adapt.ifremer.fr/riomar/small_healpix.zarr/ http://schema.org/sdDatePublished 2025-01-25 15:48:58.856359+00:00 https://data-fair2adapt.ifremer.fr/riomar/small_healpix.zarr/ http://www.w3.org/1999/02/22-rdf-syntax-ns#type http://purl.org/wf4ever/wf4ever#Dataset https://data-fair2adapt.ifremer.fr/riomar/small_healpix.zarr/ http://www.w3.org/1999/02/22-rdf-syntax-ns#type http://purl.org/wf4ever/wf4ever#Resource https://data-fair2adapt.ifremer.fr/riomar/small_healpix.zarr/ http://www.w3.org/1999/02/22-rdf-syntax-ns#type http://schema.org/MediaObject https://data-fair2adapt.ifremer.fr/riomar/small_healpix_13.zarr/ http://purl.org/wf4ever/wfdesc#hasInput https://w3id.org/ro-id/a0007726-0f5b-4ccb-a160-f350d669805e/resources/b341a342-a31c-47fe-8df3-5273cb0d6f6c https://data-fair2adapt.ifremer.fr/riomar/small_healpix_13.zarr/ http://schema.org/author https://orcid.org/0000-0002-1784-2920 https://data-fair2adapt.ifremer.fr/riomar/small_healpix_13.zarr/ http://schema.org/contentUrl https://data-fair2adapt.ifremer.fr/riomar/small_healpix_13.zarr/ https://data-fair2adapt.ifremer.fr/riomar/small_healpix_13.zarr/ http://schema.org/creator https://orcid.org/0000-0002-1784-2920 https://data-fair2adapt.ifremer.fr/riomar/small_healpix_13.zarr/ http://schema.org/dateCreated 2025-01-25 15:50:16.014757+00:00 https://data-fair2adapt.ifremer.fr/riomar/small_healpix_13.zarr/ http://schema.org/dateModified 2025-10-14 08:33:32.008014+00:00 https://data-fair2adapt.ifremer.fr/riomar/small_healpix_13.zarr/ http://schema.org/description A sample dataset in DGGS Level 13 Healpix https://data-fair2adapt.ifremer.fr/riomar/small_healpix_13.zarr/ http://schema.org/license https://creativecommons.org/licenses/by/4.0/legalcode https://data-fair2adapt.ifremer.fr/riomar/small_healpix_13.zarr/ http://schema.org/name RiOMar DGGS Healpix Level 13 data https://data-fair2adapt.ifremer.fr/riomar/small_healpix_13.zarr/ http://schema.org/sdDatePublished 2025-01-25 15:50:16.014757+00:00 https://data-fair2adapt.ifremer.fr/riomar/small_healpix_13.zarr/ http://www.w3.org/1999/02/22-rdf-syntax-ns#type http://purl.org/wf4ever/wf4ever#Dataset https://data-fair2adapt.ifremer.fr/riomar/small_healpix_13.zarr/ http://www.w3.org/1999/02/22-rdf-syntax-ns#type http://purl.org/wf4ever/wf4ever#Resource https://data-fair2adapt.ifremer.fr/riomar/small_healpix_13.zarr/ http://www.w3.org/1999/02/22-rdf-syntax-ns#type http://schema.org/MediaObject https://data-fair2adapt.ifremer.fr/riomar/small_healpix_14.zarr/ http://purl.org/wf4ever/wfdesc#hasInput https://w3id.org/ro-id/a0007726-0f5b-4ccb-a160-f350d669805e/resources/b341a342-a31c-47fe-8df3-5273cb0d6f6c https://data-fair2adapt.ifremer.fr/riomar/small_healpix_14.zarr/ http://schema.org/author https://orcid.org/0000-0002-1784-2920 https://data-fair2adapt.ifremer.fr/riomar/small_healpix_14.zarr/ http://schema.org/contentUrl https://data-fair2adapt.ifremer.fr/riomar/small_healpix_14.zarr/ https://data-fair2adapt.ifremer.fr/riomar/small_healpix_14.zarr/ http://schema.org/creator https://orcid.org/0000-0002-1784-2920 https://data-fair2adapt.ifremer.fr/riomar/small_healpix_14.zarr/ http://schema.org/dateCreated 2025-01-25 15:51:30.560593+00:00 https://data-fair2adapt.ifremer.fr/riomar/small_healpix_14.zarr/ http://schema.org/dateModified 2025-10-14 08:33:32.309746+00:00 https://data-fair2adapt.ifremer.fr/riomar/small_healpix_14.zarr/ http://schema.org/description A sample dataset in DGGS Level 14 Healpix https://data-fair2adapt.ifremer.fr/riomar/small_healpix_14.zarr/ http://schema.org/license https://creativecommons.org/licenses/by/4.0/legalcode https://data-fair2adapt.ifremer.fr/riomar/small_healpix_14.zarr/ http://schema.org/name RiOMar DGGS Healpix Level 14 data https://data-fair2adapt.ifremer.fr/riomar/small_healpix_14.zarr/ http://schema.org/sdDatePublished 2025-01-25 15:51:30.560593+00:00 https://data-fair2adapt.ifremer.fr/riomar/small_healpix_14.zarr/ http://www.w3.org/1999/02/22-rdf-syntax-ns#type http://purl.org/wf4ever/wf4ever#Dataset https://data-fair2adapt.ifremer.fr/riomar/small_healpix_14.zarr/ http://www.w3.org/1999/02/22-rdf-syntax-ns#type http://purl.org/wf4ever/wf4ever#Resource https://data-fair2adapt.ifremer.fr/riomar/small_healpix_14.zarr/ http://www.w3.org/1999/02/22-rdf-syntax-ns#type http://schema.org/MediaObject https://doi.org/10.5194/isprs-archives-XLVIII-4-W12-2024-75-2024 http://schema.org/author https://orcid.org/0000-0002-1784-2920 https://doi.org/10.5194/isprs-archives-XLVIII-4-W12-2024-75-2024 http://schema.org/contentUrl https://doi.org/10.5194/isprs-archives-XLVIII-4-W12-2024-75-2024 https://doi.org/10.5194/isprs-archives-XLVIII-4-W12-2024-75-2024 http://schema.org/creator https://orcid.org/0000-0002-1784-2920 https://doi.org/10.5194/isprs-archives-XLVIII-4-W12-2024-75-2024 http://schema.org/dateCreated 2025-01-25 15:39:18.552821+00:00 https://doi.org/10.5194/isprs-archives-XLVIII-4-W12-2024-75-2024 http://schema.org/dateModified 2025-10-14 08:33:30.776384+00:00 https://doi.org/10.5194/isprs-archives-XLVIII-4-W12-2024-75-2024 http://schema.org/description ## Abstract Traditional map projections introduce distortions, especially for global data. Discrete Global Grid Systems (DGGS) offer an alternative by dividing the Earth into equal-area grid cells at different resolutions. This paper describes xdggs, a new Xarray extension that simplifies working with DGGS. Xdggs provides a unified API for various DGGS libraries and integrates seamlessly with the Pangeo ecosystem through extending the widely used Xarray library to use the DGGS-specific cell identifiers as an index. This development makes DGGS more accessible and will lead to facilitating data analysis on a planetary scale. Xdggs aims to provide a user-friendly API that hides the implementation complexities of different DGGS libraries. And because it integrates seamlessly with Xarray, a popular tool for geospatial data analysis, xdggs promotes FAIR data practices by simplifying data access and interoperability and can become a valuable tool for geospatial scientists and application developers working with global datasets. ## How to cite Kmoch, A., Bovy, B., Magin, J., Abernathey, R., Coca-Castro, A., Strobl, P., Fouilloux, A., Loos, D., Uuemaa, E., Chan, W. T., Delouis, J.-M., and Odaka, T.: XDGGS: A community-developed Xarray package to support planetary DGGS data cube computations, Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLVIII-4/W12-2024, 75–80, https://doi.org/10.5194/isprs-archives-XLVIII-4-W12-2024-75-2024, 2024. https://doi.org/10.5194/isprs-archives-XLVIII-4-W12-2024-75-2024 http://schema.org/license https://creativecommons.org/licenses/by/4.0/legalcode https://doi.org/10.5194/isprs-archives-XLVIII-4-W12-2024-75-2024 http://schema.org/name XDGGS: A community-developed Xarray package to support planetary DGGS data cube computations https://doi.org/10.5194/isprs-archives-XLVIII-4-W12-2024-75-2024 http://schema.org/sdDatePublished 2025-01-25 15:39:18.552821+00:00 https://doi.org/10.5194/isprs-archives-XLVIII-4-W12-2024-75-2024 http://www.w3.org/1999/02/22-rdf-syntax-ns#type http://purl.org/wf4ever/wf4ever#Resource https://doi.org/10.5194/isprs-archives-XLVIII-4-W12-2024-75-2024 http://www.w3.org/1999/02/22-rdf-syntax-ns#type http://schema.org/MediaObject https://doi.org/10.5194/isprs-archives-XLVIII-4-W12-2024-75-2024 http://www.w3.org/1999/02/22-rdf-syntax-ns#type https://w3id.org/ro/terms/earth-science#ConferencePaper https://fair2adapt.github.io/Hack4RiOMAR/notebooks/Riomar_RO.html http://schema.org/author https://orcid.org/0000-0002-1784-2920 https://fair2adapt.github.io/Hack4RiOMAR/notebooks/Riomar_RO.html http://schema.org/contentUrl https://fair2adapt.github.io/Hack4RiOMAR/notebooks/Riomar_RO.html https://fair2adapt.github.io/Hack4RiOMAR/notebooks/Riomar_RO.html http://schema.org/creator https://orcid.org/0000-0002-1784-2920 https://fair2adapt.github.io/Hack4RiOMAR/notebooks/Riomar_RO.html http://schema.org/dateCreated 2025-01-25 16:23:29.825452+00:00 https://fair2adapt.github.io/Hack4RiOMAR/notebooks/Riomar_RO.html http://schema.org/dateModified 2025-10-14 08:33:35.121763+00:00 https://fair2adapt.github.io/Hack4RiOMAR/notebooks/Riomar_RO.html http://schema.org/description This is a rendered Jupyter notebook showing how to create a RO-Crate (using the Python API rocrate) for archiving the RiOMar dataset into the NIRD archive. The metadata used for the creation of the RO-Crate correspond to what is needed when archiving in the NIRD archive (Norwegian Research Data Archive). https://fair2adapt.github.io/Hack4RiOMAR/notebooks/Riomar_RO.html http://schema.org/encodingFormat text/html https://fair2adapt.github.io/Hack4RiOMAR/notebooks/Riomar_RO.html http://schema.org/license https://creativecommons.org/licenses/by/4.0/legalcode https://fair2adapt.github.io/Hack4RiOMAR/notebooks/Riomar_RO.html http://schema.org/name Rendered Jupyter Notebook to create RO-Crate from RiOMar dataset https://fair2adapt.github.io/Hack4RiOMAR/notebooks/Riomar_RO.html http://schema.org/sdDatePublished 2025-01-25 16:23:29.825452+00:00 https://fair2adapt.github.io/Hack4RiOMAR/notebooks/Riomar_RO.html http://www.w3.org/1999/02/22-rdf-syntax-ns#type http://purl.org/wf4ever/wf4ever#Resource https://fair2adapt.github.io/Hack4RiOMAR/notebooks/Riomar_RO.html http://www.w3.org/1999/02/22-rdf-syntax-ns#type http://schema.org/MediaObject https://fair2adapt.github.io/Hack4RiOMAR/notebooks/Riomar_RO.html http://www.w3.org/1999/02/22-rdf-syntax-ns#type https://w3id.org/ro-id/a0007726-0f5b-4ccb-a160-f350d669805e/SoftwareDocumentation https://fair2adapt.github.io/Hack4RiOMAR/notebooks/pangeo-riomar.html http://schema.org/author https://orcid.org/0000-0002-1784-2920 https://fair2adapt.github.io/Hack4RiOMAR/notebooks/pangeo-riomar.html http://schema.org/contentUrl https://fair2adapt.github.io/Hack4RiOMAR/notebooks/pangeo-riomar.html https://fair2adapt.github.io/Hack4RiOMAR/notebooks/pangeo-riomar.html http://schema.org/creator https://orcid.org/0000-0002-1784-2920 https://fair2adapt.github.io/Hack4RiOMAR/notebooks/pangeo-riomar.html http://schema.org/dateCreated 2025-01-25 16:08:28.081639+00:00 https://fair2adapt.github.io/Hack4RiOMAR/notebooks/pangeo-riomar.html http://schema.org/dateModified 2025-10-14 08:33:33.263749+00:00 https://fair2adapt.github.io/Hack4RiOMAR/notebooks/pangeo-riomar.html http://schema.org/description This is the rendered Jupyter notebook showing how to regrid a sample of RiOMar data into DGGS (Healpix). https://fair2adapt.github.io/Hack4RiOMAR/notebooks/pangeo-riomar.html http://schema.org/encodingFormat text/html https://fair2adapt.github.io/Hack4RiOMAR/notebooks/pangeo-riomar.html http://schema.org/license https://creativecommons.org/licenses/by/4.0/legalcode https://fair2adapt.github.io/Hack4RiOMAR/notebooks/pangeo-riomar.html http://schema.org/name Rendered Jupyter Notebook for regridding RiOMar sample zarr dataset to DGGS Helix Level 12. https://fair2adapt.github.io/Hack4RiOMAR/notebooks/pangeo-riomar.html http://schema.org/sdDatePublished 2025-01-25 16:08:28.081639+00:00 https://fair2adapt.github.io/Hack4RiOMAR/notebooks/pangeo-riomar.html http://www.w3.org/1999/02/22-rdf-syntax-ns#type http://purl.org/wf4ever/wf4ever#Resource https://fair2adapt.github.io/Hack4RiOMAR/notebooks/pangeo-riomar.html http://www.w3.org/1999/02/22-rdf-syntax-ns#type http://schema.org/MediaObject https://fair2adapt.github.io/Hack4RiOMAR/notebooks/pangeo-riomar.html http://www.w3.org/1999/02/22-rdf-syntax-ns#type https://w3id.org/ro-id/a0007726-0f5b-4ccb-a160-f350d669805e/SoftwareDocumentation https://fair2adapt.github.io/Hack4RiOMAR/notebooks/pangeo-riomar_resize_datarmor.html http://schema.org/author https://orcid.org/0000-0002-1784-2920 https://fair2adapt.github.io/Hack4RiOMAR/notebooks/pangeo-riomar_resize_datarmor.html http://schema.org/contentUrl https://fair2adapt.github.io/Hack4RiOMAR/notebooks/pangeo-riomar_resize_datarmor.html https://fair2adapt.github.io/Hack4RiOMAR/notebooks/pangeo-riomar_resize_datarmor.html http://schema.org/creator https://orcid.org/0000-0002-1784-2920 https://fair2adapt.github.io/Hack4RiOMAR/notebooks/pangeo-riomar_resize_datarmor.html http://schema.org/dateCreated 2025-01-25 16:07:15.688254+00:00 https://fair2adapt.github.io/Hack4RiOMAR/notebooks/pangeo-riomar_resize_datarmor.html http://schema.org/dateModified 2025-10-14 08:33:34.237857+00:00 https://fair2adapt.github.io/Hack4RiOMAR/notebooks/pangeo-riomar_resize_datarmor.html http://schema.org/description Read a netCDF original dataset from RiOMar and select a few timestep to save it in Zarr. This is the rendered Jupyter nobteook. https://fair2adapt.github.io/Hack4RiOMAR/notebooks/pangeo-riomar_resize_datarmor.html http://schema.org/encodingFormat text/html https://fair2adapt.github.io/Hack4RiOMAR/notebooks/pangeo-riomar_resize_datarmor.html http://schema.org/license https://creativecommons.org/licenses/by/4.0/legalcode https://fair2adapt.github.io/Hack4RiOMAR/notebooks/pangeo-riomar_resize_datarmor.html http://schema.org/name Rendered Jupyter Notebook to create a sample RiOMar dataset https://fair2adapt.github.io/Hack4RiOMAR/notebooks/pangeo-riomar_resize_datarmor.html http://schema.org/sdDatePublished 2025-01-25 16:07:15.688254+00:00 https://fair2adapt.github.io/Hack4RiOMAR/notebooks/pangeo-riomar_resize_datarmor.html http://www.w3.org/1999/02/22-rdf-syntax-ns#type http://purl.org/wf4ever/wf4ever#Resource https://fair2adapt.github.io/Hack4RiOMAR/notebooks/pangeo-riomar_resize_datarmor.html http://www.w3.org/1999/02/22-rdf-syntax-ns#type http://schema.org/MediaObject https://fair2adapt.github.io/Hack4RiOMAR/notebooks/pangeo-riomar_resize_datarmor.html http://www.w3.org/1999/02/22-rdf-syntax-ns#type https://w3id.org/ro-id/a0007726-0f5b-4ccb-a160-f350d669805e/SoftwareDocumentation https://fair2adapt.github.io/Hack4RiOMAR/notebooks/riomar_plots-datatree_multiresoplot.html http://schema.org/author https://orcid.org/0000-0002-1784-2920 https://fair2adapt.github.io/Hack4RiOMAR/notebooks/riomar_plots-datatree_multiresoplot.html http://schema.org/contentUrl https://fair2adapt.github.io/Hack4RiOMAR/notebooks/riomar_plots-datatree_multiresoplot.html https://fair2adapt.github.io/Hack4RiOMAR/notebooks/riomar_plots-datatree_multiresoplot.html http://schema.org/creator https://orcid.org/0000-0002-1784-2920 https://fair2adapt.github.io/Hack4RiOMAR/notebooks/riomar_plots-datatree_multiresoplot.html http://schema.org/dateCreated 2025-01-25 16:19:24.872910+00:00 https://fair2adapt.github.io/Hack4RiOMAR/notebooks/riomar_plots-datatree_multiresoplot.html http://schema.org/dateModified 2025-10-14 08:33:34.542070+00:00 https://fair2adapt.github.io/Hack4RiOMAR/notebooks/riomar_plots-datatree_multiresoplot.html http://schema.org/description This is the rendered Jupyter Notebook that uses Datatree (Xarray) to examplify how to create a multi-resolution dataset with DGGS (different resolution). https://fair2adapt.github.io/Hack4RiOMAR/notebooks/riomar_plots-datatree_multiresoplot.html http://schema.org/encodingFormat text/html https://fair2adapt.github.io/Hack4RiOMAR/notebooks/riomar_plots-datatree_multiresoplot.html http://schema.org/license https://creativecommons.org/licenses/by/4.0/legalcode https://fair2adapt.github.io/Hack4RiOMAR/notebooks/riomar_plots-datatree_multiresoplot.html http://schema.org/name Rendered Jupyter Notebook for demonstrating the usage of Multi-resolution RiOMar data https://fair2adapt.github.io/Hack4RiOMAR/notebooks/riomar_plots-datatree_multiresoplot.html http://schema.org/sdDatePublished 2025-01-25 16:19:24.872910+00:00 https://fair2adapt.github.io/Hack4RiOMAR/notebooks/riomar_plots-datatree_multiresoplot.html http://www.w3.org/1999/02/22-rdf-syntax-ns#type http://purl.org/wf4ever/wf4ever#Resource https://fair2adapt.github.io/Hack4RiOMAR/notebooks/riomar_plots-datatree_multiresoplot.html http://www.w3.org/1999/02/22-rdf-syntax-ns#type http://schema.org/MediaObject https://fair2adapt.github.io/Hack4RiOMAR/notebooks/riomar_plots-datatree_multiresoplot.html http://www.w3.org/1999/02/22-rdf-syntax-ns#type https://w3id.org/ro-id/a0007726-0f5b-4ccb-a160-f350d669805e/SoftwareDocumentation https://fair2adapt.github.io/Hack4RiOMAR/notebooks/virtualizarr_riomar_kerchunk.html http://schema.org/author https://orcid.org/0000-0002-1784-2920 https://fair2adapt.github.io/Hack4RiOMAR/notebooks/virtualizarr_riomar_kerchunk.html http://schema.org/contentUrl https://fair2adapt.github.io/Hack4RiOMAR/notebooks/virtualizarr_riomar_kerchunk.html https://fair2adapt.github.io/Hack4RiOMAR/notebooks/virtualizarr_riomar_kerchunk.html http://schema.org/creator https://orcid.org/0000-0002-1784-2920 https://fair2adapt.github.io/Hack4RiOMAR/notebooks/virtualizarr_riomar_kerchunk.html http://schema.org/dateCreated 2025-01-25 16:21:19.629769+00:00 https://fair2adapt.github.io/Hack4RiOMAR/notebooks/virtualizarr_riomar_kerchunk.html http://schema.org/dateModified 2025-10-14 08:33:34.843910+00:00 https://fair2adapt.github.io/Hack4RiOMAR/notebooks/virtualizarr_riomar_kerchunk.html http://schema.org/description This is the rendered Jupyter notebook that shows how to use Virtualizarr with Kerchunk to create a RiOMar datasets with all the necessary files required for a full RiOMar data analysis. https://fair2adapt.github.io/Hack4RiOMAR/notebooks/virtualizarr_riomar_kerchunk.html http://schema.org/encodingFormat text/html https://fair2adapt.github.io/Hack4RiOMAR/notebooks/virtualizarr_riomar_kerchunk.html http://schema.org/license https://creativecommons.org/licenses/by/4.0/legalcode https://fair2adapt.github.io/Hack4RiOMAR/notebooks/virtualizarr_riomar_kerchunk.html http://schema.org/name Rendered Jupyter Notebook using VirtualZarr with Kerchunk for RiOMar data https://fair2adapt.github.io/Hack4RiOMAR/notebooks/virtualizarr_riomar_kerchunk.html http://schema.org/sdDatePublished 2025-01-25 16:21:19.629769+00:00 https://fair2adapt.github.io/Hack4RiOMAR/notebooks/virtualizarr_riomar_kerchunk.html http://www.w3.org/1999/02/22-rdf-syntax-ns#type http://purl.org/wf4ever/wf4ever#Resource https://fair2adapt.github.io/Hack4RiOMAR/notebooks/virtualizarr_riomar_kerchunk.html http://www.w3.org/1999/02/22-rdf-syntax-ns#type http://schema.org/MediaObject https://fair2adapt.github.io/Hack4RiOMAR/notebooks/virtualizarr_riomar_kerchunk.html http://www.w3.org/1999/02/22-rdf-syntax-ns#type https://w3id.org/ro-id/a0007726-0f5b-4ccb-a160-f350d669805e/SoftwareDocumentation https://fair2adapt.github.io/Hack4RiOMAR/notebooks/visualize-riomar.html# http://schema.org/author https://orcid.org/0000-0002-1784-2920 https://fair2adapt.github.io/Hack4RiOMAR/notebooks/visualize-riomar.html# http://schema.org/contentUrl https://fair2adapt.github.io/Hack4RiOMAR/notebooks/visualize-riomar.html# https://fair2adapt.github.io/Hack4RiOMAR/notebooks/visualize-riomar.html# http://schema.org/creator https://orcid.org/0000-0002-1784-2920 https://fair2adapt.github.io/Hack4RiOMAR/notebooks/visualize-riomar.html# http://schema.org/dateCreated 2025-01-25 16:15:21.272219+00:00 https://fair2adapt.github.io/Hack4RiOMAR/notebooks/visualize-riomar.html# http://schema.org/dateModified 2025-10-14 08:33:33.912335+00:00 https://fair2adapt.github.io/Hack4RiOMAR/notebooks/visualize-riomar.html# http://schema.org/description This is the rendered Jupyter notebook to Visualize RiOMAR dggs-transformed data with xddgs and lonboard https://fair2adapt.github.io/Hack4RiOMAR/notebooks/visualize-riomar.html# http://schema.org/encodingFormat text/html https://fair2adapt.github.io/Hack4RiOMAR/notebooks/visualize-riomar.html# http://schema.org/license https://creativecommons.org/licenses/by/4.0/legalcode https://fair2adapt.github.io/Hack4RiOMAR/notebooks/visualize-riomar.html# http://schema.org/name Rendered Jupyter Notebook to visualize RiOMAR dggs-transformed data with xddgs and lonboard https://fair2adapt.github.io/Hack4RiOMAR/notebooks/visualize-riomar.html# http://schema.org/sdDatePublished 2025-01-25 16:15:21.272219+00:00 https://fair2adapt.github.io/Hack4RiOMAR/notebooks/visualize-riomar.html# http://www.w3.org/1999/02/22-rdf-syntax-ns#type http://purl.org/wf4ever/wf4ever#Resource https://fair2adapt.github.io/Hack4RiOMAR/notebooks/visualize-riomar.html# http://www.w3.org/1999/02/22-rdf-syntax-ns#type http://schema.org/MediaObject https://fair2adapt.github.io/Hack4RiOMAR/notebooks/visualize-riomar.html# http://www.w3.org/1999/02/22-rdf-syntax-ns#type https://w3id.org/ro-id/a0007726-0f5b-4ccb-a160-f350d669805e/SoftwareDocumentation https://fair2adapt.github.io/Hack4RiOMAR/workathon/blog/RiOMar2DGGS.png http://schema.org/author https://orcid.org/0000-0002-1784-2920 https://fair2adapt.github.io/Hack4RiOMAR/workathon/blog/RiOMar2DGGS.png http://schema.org/contentUrl https://fair2adapt.github.io/Hack4RiOMAR/workathon/blog/RiOMar2DGGS.png https://fair2adapt.github.io/Hack4RiOMAR/workathon/blog/RiOMar2DGGS.png http://schema.org/creator https://orcid.org/0000-0002-1784-2920 https://fair2adapt.github.io/Hack4RiOMAR/workathon/blog/RiOMar2DGGS.png http://schema.org/dateCreated 2025-01-25 16:41:03.570318+00:00 https://fair2adapt.github.io/Hack4RiOMAR/workathon/blog/RiOMar2DGGS.png http://schema.org/dateModified 2025-10-14 08:33:36.626762+00:00 https://fair2adapt.github.io/Hack4RiOMAR/workathon/blog/RiOMar2DGGS.png http://schema.org/description This image shows how a RiOMar dataset can be visualized with xdggs (that uses lonboard). https://fair2adapt.github.io/Hack4RiOMAR/workathon/blog/RiOMar2DGGS.png http://schema.org/encodingFormat image/png https://fair2adapt.github.io/Hack4RiOMAR/workathon/blog/RiOMar2DGGS.png http://schema.org/license https://creativecommons.org/licenses/by/4.0/legalcode https://fair2adapt.github.io/Hack4RiOMAR/workathon/blog/RiOMar2DGGS.png http://schema.org/name RiOMar dataset transformed into DGGS (Healpix) https://fair2adapt.github.io/Hack4RiOMAR/workathon/blog/RiOMar2DGGS.png http://schema.org/sdDatePublished 2025-01-25 16:41:03.570318+00:00 https://fair2adapt.github.io/Hack4RiOMAR/workathon/blog/RiOMar2DGGS.png http://www.w3.org/1999/02/22-rdf-syntax-ns#type http://purl.org/wf4ever/roterms#Sketch https://fair2adapt.github.io/Hack4RiOMAR/workathon/blog/RiOMar2DGGS.png http://www.w3.org/1999/02/22-rdf-syntax-ns#type http://purl.org/wf4ever/wf4ever#Resource https://fair2adapt.github.io/Hack4RiOMAR/workathon/blog/RiOMar2DGGS.png 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https://w3id.org/ro-id/a0007726-0f5b-4ccb-a160-f350d669805e/ http://schema.org/copyrightHolder https://ror.org/044jxhp58 https://w3id.org/ro-id/a0007726-0f5b-4ccb-a160-f350d669805e/ http://schema.org/creator https://orcid.org/0000-0002-1784-2920 https://w3id.org/ro-id/a0007726-0f5b-4ccb-a160-f350d669805e/ http://schema.org/dateCreated 2025-01-23 10:14:05.953792+00:00 https://w3id.org/ro-id/a0007726-0f5b-4ccb-a160-f350d669805e/ http://schema.org/dateModified 2025-10-16 12:11:12.957209+00:00 https://w3id.org/ro-id/a0007726-0f5b-4ccb-a160-f350d669805e/ http://schema.org/datePublished 2025-01-23 10:14:05.953792+00:00 https://w3id.org/ro-id/a0007726-0f5b-4ccb-a160-f350d669805e/ http://schema.org/description ## RiOMar Case Study This [FAIR2Adapt](http://fair2adapt-eosc.eu) case study is led by IFREMER and builds on the outcomes of the RiOMar Project - Coastal Water Quality Anticipation to manage coastal zone ecosystem responses for biodiversity conservation. The RiOMar project’s data is high-resolution and complex to manipulate. To effectively support climate adaptation strategies and plans, it is crucial to maintain the high-resolution quality while enabling efficient data fusion with diverse datasets. ## Event The Hack4RiOMar workathon brought together six motivated participants in person, collaborating to advance the FAIR2Adapt RiOMar Case Study—the first workshop in our series of FAIR2Adapt case studies. We extend our gratitude 👏 to the external experts who participated at their own expense, bringing their expertise to tackle challenges and drive progress. ## Funding FAIR2Adapt project (101188256) is funded by the European Union. Views and opinions expressed are however those of the author(s) only and do not necessarily reflect those of the European Union or the Agency. 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https://www.w3.org/ns/iana/link-relations/relation#cite-as Fouilloux, Anne, Jean-Marc Delouis, Tina Odaka, Even Moa Myklebust, Justus Magin, and Ola Formo Kihle. "Hack4RiOMar: First FAIR2Adapt Workshop for the RiOMar Case Study." ROHub. 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