Estimation of Snow Water Equivalent in Semiarid Zone Based on Data of Global Numerical Models ICON and GFS/NCEP: Case Study of the Selenga River Basin
The applicability of the data of ICON and GFS/NCEP global numerical weather forecast models for assessing snow accumulation in the Selenga River basin was verified using data from 2020–2022. The results are validated using snow survey data. Realistic estimates of the spatial distribution of snow reserves are obtained. The results are compared with ERA5–Land reanalysis data and MODIS satellite images.
Authors
- Andrey Shikhov (ORCID: https://orcid.org/0000-0003-2489-8436)
- Sergey Pyankov (ORCID: https://orcid.org/0000-0002-3511-015X)
- Vladimir Chernykh (ORCID: https://orcid.org/0000-0001-9365-7340)
- R.K. Abdullin (ORCID: https://orcid.org/0000-0002-8170-3490)
- Alexander A. Ayurzhanaev (ORCID: https://orcid.org/0000-0002-2282-7848)
Institutions
- Perm State University (RU)
- Kazan Federal University (RU)
- Baikal Institute of Nature Management (RU)
Publication Details
- Journal
- Water Resources
- Published
- 2024-12-01
- DOI
- https://doi.org/10.1134/s0097807824701392
- Primary Topic
- Cryospheric studies and observations
- Type
- article
- Field-Weighted Citation Impact
- 0.00