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Quality control and bias adjustment of crowdsourced wind speed observations

Chen, Jieyu 1; Saunders, Kate; Whan, Kirien
1 Karlsruher Institut für Technologie (KIT)


Wind observations collected at citizen weather stations (CWSs) could be an invaluable resource in climate and meteorology studies, yet these observations are underutilised because scientists do not have confidence in their quality. These wind speed observations have systematic biases, likely caused by improper instrumentation and station sitings. Such systematic biases introduce spatial inconsistencies that prevent comparison of these stations spatially and limit the possible usage of the data. In this paper, we address these issues by improving and developing new methods for identifying suspect observations and adjusting systematic biases. Our complete quality control and bias adjustment procedure consists of four steps: (a) performing within-station quality control tests to check the plausible range and the temporal consistency of observations, (b) adjusting the systematic bias using empirical quantile mapping, (c) implementing between-station quality control to compare observations from neighbouring stations to identify spatially inconsistent observations, and (d) providing estimates of the true wind when CWSs falsely report zero wind speeds, as a complement to the bias adjustment. ... mehr

Verlagsausgabe §
DOI: 10.5445/IR/1000137042
Veröffentlicht am 12.09.2021
DOI: 10.1002/qj.4146
Zitationen: 13
Web of Science
Zitationen: 12
Zitationen: 18
Cover der Publikation
Zugehörige Institution(en) am KIT Institut für Volkswirtschaftslehre (ECON)
Publikationstyp Zeitschriftenaufsatz
Publikationsmonat/-jahr 10.2021
Sprache Englisch
Identifikator ISSN: 0035-9009, 1477-870X
KITopen-ID: 1000137042
Erschienen in Quarterly Journal of the Royal Meteorological Society
Verlag John Wiley and Sons
Band 147
Heft 740
Seiten 3647-3664
Vorab online veröffentlicht am 03.08.2021
Nachgewiesen in Scopus
Web of Science
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