Quality control and correction method for air temperature data from a citizen science weather station network in Leuven, Belgium
The growing trend toward urbanisation and the increasingly frequent occurrence of extreme weather events emphasise the need for further monitoring and understanding of weather in cities. In order to gain information on these intra-urban weather patterns, dense high-quality atmospheric measurements are needed. Crowdsourced weather stations (CWSs) could be a promising solution to realise such monitoring networks in a cost-efficient way. However, due to their nontraditional measuring equipment and installation settings, the quality of datasets from these networks remains an issue. This paper pres... Mehr ...
Verfasser: | |
---|---|
Dokumenttyp: | Artikel |
Erscheinungsdatum: | 2022 |
Reihe/Periodikum: | Earth System Science Data, Vol 14, Pp 4681-4717 (2022) |
Verlag/Hrsg.: |
Copernicus Publications
|
Schlagwörter: | Environmental sciences / GE1-350 / Geology / QE1-996.5 |
Sprache: | Englisch |
Permalink: | https://search.fid-benelux.de/Record/base-27003633 |
Datenquelle: | BASE; Originalkatalog |
Powered By: | BASE |
Link(s) : | https://doi.org/10.5194/essd-14-4681-2022 |