Evaluating the performance of snow depth reanalysis products in the arid region of Central Asia
Central Asia (CA) faces water scarcity issues and heavily relies on snowmelt; however, the limited number of monitoring stations cannot meet snow monitoring needs. Reanalysis data could fill this gap, but their accuracy in CA remains uncertain. This study evaluates snow depth (SD) products from ERA5...
Saved in:
| Main Authors: | Liancheng Zhang, Guli∙Jiapaer, Tao Yu, Hongwu Liang, Kaixiong Lin, Tongwei Ju, Philippe De Maeyer, Tim Van de Voorde |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Taylor & Francis Group
2025-08-01
|
| Series: | International Journal of Digital Earth |
| Subjects: | |
| Online Access: | https://www.tandfonline.com/doi/10.1080/17538947.2024.2447368 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Estimation of Moderate-Resolution Snow Depth in Xinjiang With Enhanced-Resolution Passive Microwave and Reanalysis Data by Machine Learning Methods
by: Yongchang Yan, et al.
Published: (2025-01-01) -
Regional features of present winter snow accumulation variability in the North Eurasia from data of observations, reanalysis and satellites
by: V. V. Popova, et al.
Published: (2015-11-01) -
Contribution of snow water equivalent to the terrestrial water storage changes in High Mountain Asia based on multiple datasets
by: Qian Li, et al.
Published: (2025-06-01) -
Calculating of snow cover characteristics on a plain territory using the model SPONSOR and data of reanalyses (by the example of Moscow region)
by: D. V. Turkov, et al.
Published: (2016-10-01) -
Evaluation of the performance of ERA5, ERA5-Land and MERRA-2 reanalysis to estimate snow depth over a mountainous semi-arid region in Iran
by: Faezehsadat Majidi, et al.
Published: (2025-04-01)