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

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

Editor: @arfon (all papers)
Reviewers: @usethedata (all reviews)

Authors

William M. Norris (0000-0002-6772-9600), Carson J.q. 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

Copy citation string · Copy BibTeX  
Tags

snow swe data after_success data processing

Altmetrics
Markdown badge

 

License

Authors of JOSS papers retain copyright.

This work is licensed under a Creative Commons Attribution 4.0 International License.

Creative Commons License

Public user content licensed CC BY 4.0 unless otherwise specified.
ISSN 2475-9066