Evaluation of high-resolution snowpack simulations from global datasets and comparison with Sentinel-1 snow depth retrievals in the Sierra Nevada, USA

Laura Sourp, Simon Gascoin, Lionel Jarlan, Vanessa Pedinotti, Kat J. Bormann, and Mohamed Wassim Baba

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Month	HTML	PDF	XML	Total
Apr 2024	129	35	6	170
May 2024	112	43	6	161
Jun 2024	37	16	4	57
Jul 2024	76	20	11	107
Aug 2024	63	3	6	72
Sep 2024	32	11	5	48
Oct 2024	10	4	1	15
Nov 2024	27	7	0	34
Dec 2024	17	7	0	24
Jan 2025	16	5	2	23
Feb 2025	36	2	2	40

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Latest update: 04 Feb 2025

Short summary

Accurate knowledge of the spatial distribution of snow masses across landscapes is important for water management in mountain catchments. We present a new tool for estimating snow water resources without ground measurements. We evaluate the output of this tool using accurate airborne measurements in the Sierra Nevada and find that it provides realistic estimates of snow mass and snow depth at the catchment scale.