| SWEpy: A Python Library for Quick and Easy Access and Manipulation of MEaSUREs CETB Files for SWE Analysis

Python Jupyter Notebook Submitted 01 October 2018Accepted 06 December 2018
Review

Editor: @arfon
Reviewers: @usethedata

Authors

William Norris (0000-0002-6772-9600), Carson Farmer (0000-0003-1643-5976)

Citation

Norris et al., (2018). | SWEpy: A Python Library for Quick and Easy Access and Manipulation of MEaSUREs CETB Files for SWE Analysis. Journal of Open Source Software, 3(32), 1018, https://doi.org/10.21105/joss.01018
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snow swe data after_success data processing

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ISSN 2475-9066