Articles | Volume 10, issue 4
https://doi.org/10.5194/tc-10-1571-2016
https://doi.org/10.5194/tc-10-1571-2016
Research article
 | 
22 Jul 2016
Research article |  | 22 Jul 2016

Snowpack modelling in the Pyrenees driven by kilometric-resolution meteorological forecasts

Louis Quéno, Vincent Vionnet, Ingrid Dombrowski-Etchevers, Matthieu Lafaysse, Marie Dumont, and Fatima Karbou

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Interactive discussion

Status: closed
Status: closed
AC: Author comment | RC: Referee comment | SC: Short comment | EC: Editor comment
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AR: Author's response | RR: Referee report | ED: Editor decision
AR by Louis Quéno on behalf of the Authors (31 May 2016)  Author's response   Manuscript 
ED: Referee Nomination & Report Request started (01 Jun 2016) by Ross Brown
RR by Richard L.H. Essery (15 Jun 2016)
ED: Publish subject to minor revisions (Editor review) (22 Jun 2016) by Ross Brown
AR by Louis Quéno on behalf of the Authors (23 Jun 2016)  Author's response   Manuscript 
ED: Publish as is (04 Jul 2016) by Ross Brown
AR by Louis Quéno on behalf of the Authors (05 Jul 2016)  Manuscript 
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Short summary
Simulations are carried out in the Pyrenees with the snowpack model Crocus, driven by meteorological forecasts from the model AROME at kilometer resolution. The evaluation is done with ground-based measurements, satellite data and reference simulations. Studying daily snow depth variations allows to separate different physical processes affecting the snowpack. We show the benefits of AROME kilometric resolution and dynamical behavior in terms of snowpack spatial variability in a mountain range.