GCM-Filters: A Python Package for Diffusion-based Spatial Filtering of Gridded Data

Python Submitted 05 November 2021Published 11 February 2022
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Editor: @elbeejay (all papers)
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Authors

Nora Loose (0000-0002-3684-9634), Ryan Abernathey (0000-0001-5999-4917), Ian Grooms (0000-0002-4678-7203), Julius Busecke (0000-0001-8571-865X), Arthur Guillaumin (0000-0003-1571-4228), Elizabeth Yankovsky (0000-0003-3612-549X), Gustavo Marques (0000-0001-7238-0290), Jacob Steinberg (0000-0002-2609-6405), Andrew Slavin Ross (0000-0002-2368-6979), Hemant Khatri (0000-0001-6559-9059), Scott Bachman (0000-0002-6479-4300), Laure Zanna (0000-0002-8472-4828), Paige Martin (0000-0003-3538-633X)

Citation

Loose et al., (2022). GCM-Filters: A Python Package for Diffusion-based Spatial Filtering of Gridded Data. Journal of Open Source Software, 7(70), 3947, https://doi.org/10.21105/joss.03947

@article{Loose2022, doi = {10.21105/joss.03947}, url = {https://doi.org/10.21105/joss.03947}, year = {2022}, publisher = {The Open Journal}, volume = {7}, number = {70}, pages = {3947}, author = {Loose, Nora and Abernathey, Ryan and Grooms, Ian and Busecke, Julius and Guillaumin, Arthur and Yankovsky, Elizabeth and Marques, Gustavo and Steinberg, Jacob and Ross, Andrew Slavin and Khatri, Hemant and Bachman, Scott and Zanna, Laure and Martin, Paige}, title = {GCM-Filters: A Python Package for Diffusion-based Spatial Filtering of Gridded Data}, journal = {Journal of Open Source Software} }
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ISSN 2475-9066