MetObs - a Python toolkit for using non-traditional meteorological observations

Jupyter Notebook Python Submitted 24 August 2023 • Published 08 March 2024
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Review

Editor: @hugoledoux (all papers)
Reviewers: @ashwinvis (all reviews), @Zeitsperre (all reviews)

Authors

Thomas Vergauwen (0000-0003-2899-9218), Michiel Vieijra (0000-0003-0817-2846), Andrei Covaci (0000-0001-5147-2460), Amber Jacobs (0000-0002-4628-3988), Sara Top (0000-0003-1281-790X), Wout Dewettinck (0000-0002-0728-5331), Kobe Vandelanotte (0009-0001-1252-7315), Ian Hellebosch (0000-0003-0150-529X), Steven Caluwaerts (0000-0001-7456-3891)

Citation

Vergauwen et al., (2024). MetObs - a Python toolkit for using non-traditional meteorological observations. Journal of Open Source Software, 9(95), 5916, https://doi.org/10.21105/joss.05916

@article{Vergauwen2024, doi = {10.21105/joss.05916}, url = {https://doi.org/10.21105/joss.05916}, year = {2024}, publisher = {The Open Journal}, volume = {9}, number = {95}, pages = {5916}, author = {Thomas Vergauwen and Michiel Vieijra and Andrei Covaci and Amber Jacobs and Sara Top and Wout Dewettinck and Kobe Vandelanotte and Ian Hellebosch and Steven Caluwaerts}, title = {MetObs - a Python toolkit for using non-traditional meteorological observations}, journal = {Journal of Open Source Software} }
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Meteorology Urban climate Observations

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Authors of JOSS papers retain copyright.

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

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Journal of Open Source Software is an affiliate of the Open Source Initiative.

Journal of Open Source Software is part of Open Journals, which is a NumFOCUS-sponsored project.

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ISSN 2475-9066