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Rainfall estimation from a German-wide commercial microwave link network: optimized processing and validation for 1 year of data

Graf, Maximilian; Chwala, Christian; Polz, Julius; Kunstmann, Harald

Rainfall is one of the most important environmental variables. However, it is a challenge to measure it accurately over space and time. During the last decade, commercial microwave links (CMLs), operated by mobile network providers, have proven to be an additional source of rainfall information to complement traditional rainfall measurements. In this study, we present the processing and evaluation of a German-wide data set of CMLs. This data set was acquired from around 4000 CMLs distributed across Germany with a temporal resolution of 1 min. The analysis period of 1 year spans from September 2017 to August 2018. We compare and adjust existing processing schemes on this large CML data set. For the crucial step of detecting rain events in the raw attenuation time series, we are able to reduce the amount of misclassification. This was achieved by using a new approach to determine the threshold, which separates a rolling window standard deviation of the CMLs' signal into wet and dry periods. For the compensation for wet antenna attenuation, we compare a time-dependent model with a rain-rate-dependent model and show that the rain-rate-dependent model performs better for our data set. ... mehr

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Verlagsausgabe §
DOI: 10.5445/IR/1000120807
Veröffentlicht am 01.07.2020
DOI: 10.5194/hess-24-2931-2020
Web of Science
Zitationen: 1
Cover der Publikation
Zugehörige Institution(en) am KIT Institut für Meteorologie und Klimaforschung - Atmosphärische Umweltforschung (IMK-IFU)
Publikationstyp Zeitschriftenaufsatz
Publikationsjahr 2020
Sprache Englisch
Identifikator ISSN: 1607-7938
KITopen-ID: 1000120807
HGF-Programm 12.02.03 (POF III, LK 01)
Regional Climate-and Water Cycle Variab.
Erschienen in Hydrology and earth system sciences
Band 24
Heft 6
Seiten 2931–2950
Bemerkung zur Veröffentlichung Gefördert durch den KIT-Publikationsfonds
Vorab online veröffentlicht am 04.06.2020
Nachgewiesen in Web of Science
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