Snow redistribution in an intermediate-complexity snow hydrology modelling framework

Abstract km 2 m resolution, using appropriate downscaling and snow data assimilation techniques to provide accurate meteorological forcing. In particular, wind fields were dynamically downscaled using WindNinja to better reflect topographically induced flow patterns. The model results were assessed using snow depths from airborne lidar measurements. We found a remarkable improvement in the representation of snow accumulation and erosion areas, with major contributions from saltation and suspension as well as avalanches and with modest contributions from snowdrift sublimation. The aggregated snow depth distribution curve, key to snowmelt dynamics, significantly and consistently matched the measured distribution better than reference simulations from the peak of winter to the end of the melt season, with improvements at all spatial resolutions. This outcome is promising for a better representation of snow hydrological processes within an operational framework.

Object Details

• Location: Deutsche Nationalbibliothek Frankfurt am Main
• Extent: Online-Ressource
• Language: Englisch

References and Relationships

• Bibliographic citation: Snow redistribution in an intermediate-complexity snow hydrology modelling framework ; volume:18 ; number:8 ; year:2024 ; pages:3533-3557 ; extent:25 ; The Cryosphere ; 18, Heft 8 (2024), 3533-3557 (gesamt 25)

Contributors, Places and Time

• Creator: Quéno, Louis ; Mott, Rebecca ; Morin, Paul ; Cluzet, Bertrand ; Mazzotti, Giulia ; Jonas, Tobias

Further information

• DOI: 10.5194/tc-18-3533-2024
• URN: urn:nbn:de:101:1-2408150434376.488728359077
• Rights: Open Access; Der Zugriff auf das Objekt ist unbeschränkt möglich.
• Last update: 14.08.2025, 10:59 AM CEST