Articles | Volume 13, issue 9
https://doi.org/10.5194/amt-13-4683-2020
https://doi.org/10.5194/amt-13-4683-2020
Research article
 | 
04 Sep 2020
Research article |  | 04 Sep 2020

Automated precipitation monitoring with the Thies disdrometer: biases and ways for improvement

Michael Fehlmann, Mario Rohrer, Annakaisa von Lerber, and Markus Stoffel

Data sets

Data for journal article: "Automated precipitation monitoring with the Thies disdrometer: Biases and ways for improvement" M. Fehlmann, M. Rohrer, A. von Lerber, and M. Stoffel https://doi.org/10.5281/zenodo.3956815

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Short summary
The Thies disdrometer is used to monitor precipitation intensity and its phase and thus may provide valuable information for the management of meteorological and hydrological risks. In this study, we characterize biases of this instrument using common reference instruments at a pre-alpine study site in Switzerland. We find a systematic underestimation of liquid precipitation amounts and suggest possible reasons for and corrections to this bias and relate these findings to other study sites.