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

Contribution to journal

Reference ■
 
Vergauwen, T, Vieijra, M, Covaci, A, Jacobs, A, Top, S, Dewettinck, W, Vandelanotte, K, Hellebosch, I & Caluwaerts, S 2024, 'MetObs - a Python toolkit for using non-traditional meteorological observations', Journal of Open Source Software, vol. 9, no. 95, 5916. https://doi.org/10.21105/joss.05916
Vergauwen, T., Vieijra, M., Covaci, A., Jacobs, A., Top, S., Dewettinck, W., Vandelanotte, K., Hellebosch, I., & Caluwaerts, S. (2024). MetObs - a Python toolkit for using non-traditional meteorological observations. Journal of Open Source Software, 9(95), Article 5916. https://doi.org/10.21105/joss.05916
@article{d1874dbfe49b44229b4e88ad16317359,
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,
day = "8",
doi = "10.21105/joss.05916",
language = "English",
volume = "9",
journal = "Journal of Open Source Software",
publisher = "The Open Journal",
number = "95",
}