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

Thomas Vergauwen; Michiel Vieijra; Andrei Covaci; Amber Jacobs; Sara Top; Wout Dewettinck; Kobe Vandelanotte; Ian Hellebosch; Steven Caluwaerts

doi:10.21105/joss.05916

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

Thomas Vergauwen, Michiel Vieijra, Andrei Covaci, Amber Jacobs, Sara Top, Wout Dewettinck, Kobe Vandelanotte, Ian Hellebosch, Steven Caluwaerts

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Original language	English
Article number	5916
Number of pages	3
Journal	Journal of Open Source Software
Volume	9
Issue number	95
DOIs	https://doi.org/10.21105/joss.05916
Publication status	Published - 8 Mar 2024

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10.21105/joss.05916Licence: CC BY

109351893Final published version, 2.87 MBLicence: CC BY

Cite this

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title = "MetObs - a Python toolkit for using non-traditional meteorological observations",

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",

year = "2024",

month = mar,

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doi = "10.21105/joss.05916",

language = "English",

volume = "9",

journal = "Journal of Open Source Software",

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AU - Vergauwen, Thomas

AU - Vieijra, Michiel

AU - Covaci, Andrei

AU - Jacobs, Amber

AU - Top, Sara

AU - Dewettinck, Wout

AU - Vandelanotte, Kobe

AU - Hellebosch, Ian

AU - Caluwaerts, Steven

PY - 2024/3/8

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DO - 10.21105/joss.05916

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VL - 9

JO - Journal of Open Source Software

JF - Journal of Open Source Software

IS - 95

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