Published July 10, 2024
| Version v1
Poster
Open
Accelerating the use of Lagrangian data with Clouddrift
Authors/Creators
- 1. Rosenstiel School of Marine, Atmospheric, and Earth Science, University of Miami
- 2. Florida State University
Contributors
- 1. GDI
- 2. SLB
- 3. University of North Carolina
- 4. Curvenote
- 5. Deloitte
- 6. Aptos
- 7. Arm
Description
clouddrift is a python library built to accelerate and simplify the use of lagrangian datasets in science. To achieve this the library adapts datasets into cloud optimized ragged arrays, provides analysis and query methods to work with lagrangian datasets as ragged arrays.
Files
scipy-2024-clouddrift-poster-v1.pdf
Files
(979.4 kB)
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