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DOI | 10.1016/j.jhydrol.2021.127027 |
Development of a fine-resolution snow depth product based on the snow cover probability for the Tibetan Plateau: Validation and spatial-temporal analyses | |
Yan, Dajiang; Ma, Ning; Zhang, Yinsheng | |
通讯作者 | Zhang, YS (通讯作者) |
发表日期 | 2022 |
ISSN | 0022-1694 |
EISSN | 1879-2707 |
卷号 | 604 |
英文摘要 | Accurate remotely sensed snow depth (SD) data are essential for monitoring and modeling hydrological processes in cold regions. While the available passive microwave SD data have been widely used by the community, the coarse spatial resolution (typically at 0.25 degrees) of these data impedes the explicit representation of the hydrological processes in snow-dominated regions, especially in mountainous regions with complex terrain. To improve the spatial resolution and quality of passive microwave SD data for the Tibetan Plateau (TP), we develop a spatial-temporal downscaling method to produce a 19-year, daily 0.05 degrees SD product by combining the existing high temporal resolution daily SD data and the high spatial resolution 8-day cloud-free Moderate Resolution Imaging Spectroradiometer (MODIS)-based snow cover probability (SCP) data, the latter of which were produced using an new advanced temporal filter algorithm. Validations against the observed SD data from 92 meteorological stations suggest that the newly-developed 0.05 degrees SD product greatly improves upon the original 0.25 degrees version. Based on this 0.05 degrees SD product, we found that higher SD values are mainly distributed on the southeastern and eastern TP as well as the Himalaya and Karakoram, while much lower SD values occur on the inner TP. During 2000-2018, the TP-averaged annual SD showed a slight (p > 0.05) increasing trend because there were little changes in SD for most grids across the TP. Regarding different basins within TP, the annual SD during 2000-2018 slightly increased over most basins except for the Amu Dayra, Ganges, Brahmaputra, and Inner TP, where the basin-scale SD showed insignificant decreasing tendencies. In general, the spatial-temporal variations in the SD across the TP were very heterogeneous because SD was affected by multiple climatic factors. The newly-developed 0.05 degrees SD product could facilitate our understanding of the hydrological processes on the TP through a more explicit representation of the gridded-based snow water information. |
关键词 | REMOTE-SENSING DATAWATER EQUIVALENTSEASONAL SNOWRETRIEVALALGORITHMCLIMATEMASSVARIABILITYRUNOFFTRENDS |
英文关键词 | Snow depth; Downscaling; Snow cover probability; Tibetan Plateau |
语种 | 英语 |
WOS研究方向 | Engineering ; Geology ; Water Resources |
WOS类目 | Engineering, Civil ; Geosciences, Multidisciplinary ; Water Resources |
WOS记录号 | WOS:000751941700003 |
来源期刊 | JOURNAL OF HYDROLOGY |
来源机构 | 中国科学院青藏高原研究所 |
文献类型 | 期刊论文 |
条目标识符 | http://gcip.llas.ac.cn/handle/2XKMVOVA/260628 |
推荐引用方式 GB/T 7714 | Yan, Dajiang,Ma, Ning,Zhang, Yinsheng. Development of a fine-resolution snow depth product based on the snow cover probability for the Tibetan Plateau: Validation and spatial-temporal analyses[J]. 中国科学院青藏高原研究所,2022,604. |
APA | Yan, Dajiang,Ma, Ning,&Zhang, Yinsheng.(2022).Development of a fine-resolution snow depth product based on the snow cover probability for the Tibetan Plateau: Validation and spatial-temporal analyses.JOURNAL OF HYDROLOGY,604. |
MLA | Yan, Dajiang,et al."Development of a fine-resolution snow depth product based on the snow cover probability for the Tibetan Plateau: Validation and spatial-temporal analyses".JOURNAL OF HYDROLOGY 604(2022). |
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