Articles | Volume 18, issue 4
https://doi.org/10.5194/tc-18-1959-2024
https://doi.org/10.5194/tc-18-1959-2024
Research article
 | 
26 Apr 2024
Research article |  | 26 Apr 2024

Snow depth in high-resolution regional climate model simulations over southern Germany – suitable for extremes and impact-related research?

Benjamin Poschlod and Anne Sophie Daloz

Data sets

ERA5-Land hourly data from 1950 to present J. Muñoz Sabater https://doi.org/10.24381/cds.e2161bac

BAYWRF E. Collier https://doi.org/10.17605/OSF.IO/AQ58B

HoKliSim-De COSMO-CLM climate model simulation data version V2022.01 S. Brienen et al. https://doi.org/10.5676/DWD/HOKLISIM_V2022.01

MODIS/Terra Snow Cover Daily L3 Global 0.05Deg CMG, D. K. Hall and G. A. Riggs https://doi.org/10.5067/MODIS/MOD10C1.061

MODIS/Terra+Aqua BRDF/Albedo Albedo Daily L3 Global 0.05Deg CMG V061 C. Schaaf and Z. Wang https://doi.org/10.5067/MODIS/MCD43C3.061

Daily climate data DWD (German Weather Service) https://opendata.dwd.de/climate_environment/CDC/observations_germany/climate/daily/kl/historical/

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Short summary
Information about snow depth is important within climate research but also many other sectors, such as tourism, mobility, civil engineering, and ecology. Climate models often feature a spatial resolution which is too coarse to investigate snow depth. Here, we analyse high-resolution simulations and identify added value compared to a coarser-resolution state-of-the-art product. Also, daily snow depth extremes are well reproduced by two models.