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 = {Nora Loose and Ryan Abernathey and Ian Grooms and Julius Busecke and Arthur Guillaumin and Elizabeth Yankovsky and Gustavo Marques and Jacob Steinberg and Andrew Slavin Ross and Hemant Khatri and Scott Bachman and Laure Zanna and Paige Martin}, title = {GCM-Filters: A Python Package for Diffusion-based Spatial Filtering of Gridded Data}, journal = {Journal of Open Source Software} }
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