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Rainfall estimates from opportunistic sensors in Germany across spatio-temporal scales

Graf, Maximilian ORCID iD icon 1; El Hachem, Abbas; Eisele, Micha; Seidel, Jochen; Chwala, Christian ORCID iD icon 1; Kunstmann, Harald 1; Bárdossy, András
1 Institut für Meteorologie und Klimaforschung (IMK), Karlsruher Institut für Technologie (KIT)

Abstract:

Study region: The study region is Germany and two sub-regions in Germany, i.e. the state of Rhineland-Palatinate and the city of Reutlingen.

Study focus: Opportunistic rainfall sensors, namely personal weather stations and commercial microwave links, together with rain gauge data from the German Weather Service, were used in different combinations to derive rainfall maps with a geostatistical interpolation framework for Germany. This kriging type framework considered the uncertainty of opportunistic sensors and the line structure of commercial microwave links. The resulting rainfall maps were compared to two gauge-adjusted radar products and evaluated to three reference gauge datasets in the respective study regions on both daily and hourly basis.

New Hydrological Insights for the Region: The interpolated rainfall products from opportunistic sensors provided good agreement to the reference rain gauges. The dataset combinations including information from the opportunistic sensors performed best. The addition of rain gauges from the German Weather Service did not consistently lead to an improvement of the interpolated rainfall maps. ... mehr


Verlagsausgabe §
DOI: 10.5445/IR/1000136976
Veröffentlicht am 08.09.2021
Originalveröffentlichung
DOI: 10.1016/j.ejrh.2021.100883
Scopus
Zitationen: 18
Dimensions
Zitationen: 19
Cover der Publikation
Zugehörige Institution(en) am KIT Institut für Meteorologie und Klimaforschung – Atmosphärische Umweltforschung (IMK-IFU)
Publikationstyp Zeitschriftenaufsatz
Publikationsjahr 2021
Sprache Englisch
Identifikator ISSN: 2214-5818
KITopen-ID: 1000136976
HGF-Programm 12.11.33 (POF IV, LK 01) Regional Climate and Hydrological Cycle
Erschienen in Journal of Hydrology: Regional Studies
Verlag Elsevier
Band 37
Seiten Art.-Nr.:100883
Schlagwörter Rainfall mapping; Opportunistic sensing; Personal weather stations; Commercial microwave links
Nachgewiesen in Web of Science
Dimensions
Scopus
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