MetObs - a Python toolkit for using non-traditional meteorological observations-Reference-Cited by-同舟云学术

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

Published:2024-03-08 Issue:95 Volume:9 Page:5916
ISSN:2475-9066
Container-title:Journal of Open Source Software
language:
Short-container-title:JOSS

Author:

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

Publisher

The Open Journal

Link

https://joss.theoj.org/papers/10.21105/joss.05916.pdf

Reference10 articles.

1. TITAN automatic spatial quality control of meteorological in-situ observations;Båserud;Advances in Science and Research,2020

2. The urban climate of Ghent, Belgium : A case study combining a high-accuracy monitoring network with numerical simulations;Caluwaerts;Urban Climate,2020

3. CrowdQC+—a quality-control for crowdsourced air-temperature observations enabling world-wide urban climate applications;Fenner;Frontiers in Environmental Science,2021

4. Crowdsourcing air temperature from citizen weather stations for urban climate research;Meier;Urban Climate,2017

5. Crowdsourcing for climate and atmospheric sciences: Current status and future potential;Muller;International Journal of Climatology,2015

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