Published July 10, 2025
| Version v1
Poster
Open
Fast and scalable general geospatial regridding
Authors/Creators
- 1. LOPS - Laboratoire d'Oceanographie Physique et Spatiale UMR 6523 CNRS-IFREMER-IRD-Univ.Brest-IUEM, Plouzane, France
Contributors
- 1. SLB
- 2. Lawrence Berkeley National Laboratory
- 3. Aptos
- 4. Curvenote
- 5. Arm
- 6. Deloitte
- 7. University of Alabama in Huntsville
Description
Being able to regrid between various grid types is very important in geoscience research. While the scientific
python ecosystem includes numerous geospatial regridding packages, most of them are tailored to only a few specific
grid types. Additionally, very few of them are designed to handle regridding of grids that are too big to fit into
memory using distributed computation frameworks like dask.
grid-indexing and grid-weights are a set of rust-based libraries that implement regridding between arbitrary
grids using a RTree and rely on dask to scale for larger-than-memory grids.
Files
fast-and-scalable-general-geospatial-regridding.pdf
Files
(309.4 kB)
| Name | Size | Download all |
|---|---|---|
|
md5:0ee66e12d4f4107552f37be8aa789bd5
|
309.4 kB | Preview Download |