Articles | Volume 25, issue 4
Research article
20 Apr 2021
Research article |  | 20 Apr 2021

Learning about precipitation lapse rates from snow course data improves water balance modeling

Francesco Avanzi, Giulia Ercolani, Simone Gabellani, Edoardo Cremonese, Paolo Pogliotti, Gianluca Filippa, Umberto Morra di Cella, Sara Ratto, Hervè Stevenin, Marco Cauduro, and Stefano Juglair


Interactive discussion

Status: closed
Status: closed
AC: Author comment | RC: Referee comment | SC: Short comment | EC: Editor comment
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Peer-review completion

AR: Author's response | RR: Referee report | ED: Editor decision
ED: Publish subject to minor revisions (further review by editor) (16 Feb 2021) by Bettina Schaefli
AR by Francesco Avanzi on behalf of the Authors (04 Mar 2021)  Author's response    Author's tracked changes    Manuscript
ED: Publish as is (16 Mar 2021) by Bettina Schaefli
Short summary
Precipitation tends to increase with elevation, but the magnitude and distribution of this enhancement remain poorly understood. By leveraging over 11 000 spatially distributed, manual measurements of snow depth (snow courses) upstream of two reservoirs in the western European Alps, we show that these courses bear a characteristic signature of orographic precipitation. This opens a window of opportunity for improved modeling accuracy and, ultimately, our understanding of the water budget.