Clouddrift: a Python package to accelerate the use of Lagrangian data for atmospheric, oceanic, and climate sciences

Submitted 29 April 2024Published 23 July 2024
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Editor: @AnjaliSandip (all papers)
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Authors

Shane Elipot (0000-0001-6051-5426), Philippe Miron (0000-0002-8520-6221), Milan Curcic (0000-0002-8822-7749), Kevin Santana (0009-0003-8383-1212), Rick Lumpkin (0000-0002-6690-1704)

Citation

Elipot et al., (2024). Clouddrift: a Python package to accelerate the use of Lagrangian data for atmospheric, oceanic, and climate sciences. Journal of Open Source Software, 9(99), 6742, https://doi.org/10.21105/joss.06742

@article{Elipot2024, doi = {10.21105/joss.06742}, url = {https://doi.org/10.21105/joss.06742}, year = {2024}, publisher = {The Open Journal}, volume = {9}, number = {99}, pages = {6742}, author = {Shane Elipot and Philippe Miron and Milan Curcic and Kevin Santana and Rick Lumpkin}, title = {Clouddrift: a Python package to accelerate the use of Lagrangian data for atmospheric, oceanic, and climate sciences}, journal = {Journal of Open Source Software} }
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ISSN 2475-9066