Articles | Volume 10, issue 4
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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Cited articles

Anderton, S. P., White, S. M., and Alvera, B.: Micro-scale spatial variability and the timing of snow melt runoff in a high mountain catchment, J. Hydrol., 268, 158–176,, 2002.
Augros, C., Caumont, O., Ducrocq, V., Gaussiat, N., and Tabary, P.: Comparisons between S-, C- and X-band polarimetric radar observations and convective-scale simulations of the HyMeX first special observing period, Q. J. R. Meteorol. Soc.,, 2015.
Bartelt, P. and Lehning, M.: A physical SNOWPACK model for the Swiss avalanche warning: Part I: numerical model, Cold Reg. Sci. Technol., 35, 123–145,, 2002.
Bélair, S., Roch, M., Leduc, A.-M., Vaillancourt, P. A., Laroche, S., and Mailhot, J.: Medium-Range Quantitative Precipitation Forecasts from Canada's New 33-km Deterministic Global Operational System, Weather Forecast., 24, 690–708,, 2009.
Bellaire, S., Jamieson, J. B., and Fierz, C.: Forcing the snow-cover model SNOWPACK with forecasted weather data, The Cryosphere, 5, 1115–1125,, 2011.
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.