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

Fehlmann, Michael; Rohrer, Mario Bruno; von Lerber, Annakaisa; Stoffel, Markus

doi:10.5194/amt-13-4683-2020

Scientific article

English

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

ContributorsFehlmann, Michael; Rohrer, Mario Bruno; von Lerber, Annakaisa; Stoffel, Markus

Published inAtmospheric Measurement Techniques, vol. 13, no. 9, p. 4683-4698

Publication date2020

Affiliation entities

Centres et instituts / Institut des sciences de l'environnement
Faculté des sciences / Section des sciences de la Terre et de l'Environnement / Département F.-A. Forel des sciences de l'environnement et de l'eau

Citation (ISO format)

FEHLMANN, Michael et al. Automated precipitation monitoring with the Thies disdrometer: biases and ways for improvement. In: Atmospheric Measurement Techniques, 2020, vol. 13, n° 9, p. 4683–4698. doi: 10.5194/amt-13-4683-2020

Article (Published version)

Identifiers

PID : unige:145295
DOI : 10.5194/amt-13-4683-2020

Additional URL for this publicationhttps://amt.copernicus.org/articles/13/4683/2020/

Journal ISSN1867-8548

277views

246downloads

Creation24/11/2020 16:41:00

First validation24/11/2020 16:41:00

Update15/03/2023 23:33:33

Status update15/03/2023 23:33:33

Last indexation31/10/2024 20:33:34

Archive ouverte UNIGE

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

Technical informations