XDGGS: Xarray Extension for Discrete Global Grid Systems (DGGS)
- 1University of Tartu, Institute of Ecology and Earth Sciences, Department of Geography, Tartu, Estonia (alexander.kmoch@ut.ee)
- 2Georode, Liège, Belgium (benbovy@gmail.com)
- 3LOPS - Laboratoire d'Oceanographie Physique et Spatiale UMR 6523 CNRS-IFREMER-IRD-Univ.Brest-IUEM, Plouzane, France (tina.odaka@ifremer.fr)
- 4Earthmover PBC, New York, NY, USA (ryan@earthmover.io)
- 5European Commission Joint Research Centre, Ispra, Italy (peter.strobl@ec.europa.eu)
- 6The Alan Turing Institute, London, UK (acoca@turing.ac.uk)
- 7Simula, Oslo, Norway (annef@simula.no)
- 8Daniel Loos, Max Planck Institute for Biogeochemistry, Jena, Germany (dloos@bgc-jena.mpg.de)
Traditional geospatial representations of the globe on a 2-dimensional plane often introduce distortions in area, distance, and angles. Discrete Global Grid Systems (DGGS) mitigate these distortions and introduce a hierarchical structure of global grids. Defined by ISO standards, DGGSs serve as spatial reference systems facilitating data cube construction, enabling integration and aggregation of multi-resolution data sources. Various tessellation schemes such as hexagons and triangles cater to different needs - equal area, optimal neighborhoods, congruent parent-child relationships, ease of use, or vector field representation in modeling flows.
The fusion of Discrete Global Grid Systems (DGGS) and Datacubes represents a promising synergy for integrated handling of planetary-scale data.
The recent Pangeo community initiative at the ESA BiDS'23 conference has led to significant advancements in supporting Discrete Global Grid Systems (DGGS) within the widely used Xarray package. This collaboration resulted in the development of the Xarray extension XDGGS (https://github.com/xarray-contrib/xdggs). The aim of xdggs is to provide a unified, high-level, and user-friendly API that simplifies working with various DGGS types and their respective backend libraries, seamlessly integrating with Xarray and the Pangeo scientific computing ecosystem. Executable notebooks demonstrating the use of the xdggs package are also developed to showcase its capabilities.
This development represents a significant step forward, though continuous efforts are necessary to broaden the accessibility of DGGS for scientific and operational applications, especially in handling gridded data such as global climate and ocean modeling, satellite imagery, raster data, and maps.
Keywords: Discrete Global Grid Systems, Xarray Extension, Geospatial Data Integration, Earth Observation, Data Cube, Scientific Collaboration
How to cite: Kmoch, A., Bovy, B., Magin, J., Abernathey, R., Strobl, P., Coca-Castro, A., Fouilloux, A., Loos, D., and Odaka, T.: XDGGS: Xarray Extension for Discrete Global Grid Systems (DGGS), EGU General Assembly 2024, Vienna, Austria, 14–19 Apr 2024, EGU24-15416, https://doi.org/10.5194/egusphere-egu24-15416, 2024.
