干旱区生态环境知识资源中心(Arid): Rainfall estimation from surface soil moisture using SM2RAIN in cold mountainous areas

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DOI	10.1016/j.jhydrol.2022.127430
	Rainfall estimation from surface soil moisture using SM2RAIN in cold mountainous areas
	Lai, Yao; Tian, Jie; Kang, Weiming; Gao, Chao; Hong, Weijie; He, Chansheng
通讯作者	Tian, J ; He, CS (corresponding author)，Lanzhou Univ, Coll Earth & Environm Sci, Ctr Dryland Water Resources Res & Watershed Sci, Key Lab West Chinas Environm Syst,Minist Educ, Lanzhou 730000, Peoples R China.
来源期刊	JOURNAL OF HYDROLOGY
ISSN	0022-1694
EISSN	1879-2707
出版年	2022
卷号	606
英文摘要	Rainfall across mountainous areas is vital for the water supply and ecosystem services of arid watersheds. Rain gauges are the most common method to measure rainfall, but these are sparse in mountainous areas. Satellite and reanalysis products can provide rainfall information over a large area but often have large uncertainty in high elevation environments. A recently developed bottom-up approach (SM2RAIN, Soil Moisture to Rain) estimates rainfall from soil moisture dynamics and provides a novel method to estimate rainfall. However, the reliability and accuracy of this method in high-altitude mountainous areas are currently not well understood. This study evaluates the SM2RAIN method under different environmental conditions based on data from 9 in-situ soil moisture and rainfall observation stations in the Qilian Mountains in Northwest China. Subsequently, we compare the Rsim (rainfall estimated using the SM2RAIN in-situ), the global SM2RAIN rainfall product (SM2RAIN-ASCAT) and the reanalysis rainfall product (China Meteorological Forcing Dataset, CMFD) with the in-situ rainfall observations. Results show that the performance of SM2RAIN decreases with increasing elevation. SM2RAIN performs well in alpine meadows, but underestimates rainfall in forestland due to strong interception, and overestimates rainfall in farmland due to irrigation. Meanwhile, SM2RAIN has the potential to evaluate the interception capacity of forestland and the irrigation of farmland. The SM2RAIN-ASCAT and CMFD have similar performances in estimating daily rainfall in the study area. Calibration of SM2RAIN using high spatio-temporal resolution soil moisture products and an advanced bias-correction method can significantly improve rainfall estimation performance in data-scarce mountainous areas.
英文关键词	Mountainous areas Rainfall estimation Soil moisture SM2RAIN
类型	Article
语种	英语
收录类别	SCI-E
WOS记录号	WOS:000752456500004
WOS关键词	HEIHE RIVER ; PRECIPITATION PRODUCTS ; QILIAN MOUNTAINS ; CLIMATE-CHANGE ; BASIN ; REGION ; TERRAIN ; IMPACT ; FOREST ; WATER
WOS类目	Engineering, Civil ; Geosciences, Multidisciplinary ; Water Resources
WOS研究方向	Engineering ; Geology ; Water Resources
资源类型	期刊论文
条目标识符	http://119.78.100.177/qdio/handle/2XILL650/376242
作者单位	[Lai, Yao; Tian, Jie; Kang, Weiming; Gao, Chao; Hong, Weijie; He, Chansheng] Lanzhou Univ, Coll Earth & Environm Sci, Ctr Dryland Water Resources Res & Watershed Sci, Key Lab West Chinas Environm Syst,Minist Educ, Lanzhou 730000, Peoples R China; [He, Chansheng] Western Michigan Univ, Dept Geog, Kalamazoo, MI 49008 USA
推荐引用方式 GB/T 7714	Lai, Yao,Tian, Jie,Kang, Weiming,et al. Rainfall estimation from surface soil moisture using SM2RAIN in cold mountainous areas[J],2022,606.
APA	Lai, Yao,Tian, Jie,Kang, Weiming,Gao, Chao,Hong, Weijie,&He, Chansheng.(2022).Rainfall estimation from surface soil moisture using SM2RAIN in cold mountainous areas.JOURNAL OF HYDROLOGY,606.
MLA	Lai, Yao,et al."Rainfall estimation from surface soil moisture using SM2RAIN in cold mountainous areas".JOURNAL OF HYDROLOGY 606(2022).