干旱区生态环境知识资源中心(Arid): Improvement of the multi-source weighted-ensemble precipitation dataset and application in the arid area of Tianshan Mountains, central Asia

Arid

DOI	10.1016/j.asr.2023.03.008
	Improvement of the multi-source weighted-ensemble precipitation dataset and application in the arid area of Tianshan Mountains, central Asia
	Li, Xiaoqian; Li, Xiaolong; He, Xinlin; Du, Yongjun; Yu, Jiawen; Yang, Guang; Li, Jiangyue; Li, Dongbo; Xu, Wenhe
通讯作者	He, XL
来源期刊	ADVANCES IN SPACE RESEARCH
ISSN	0273-1177
EISSN	1879-1948
出版年	2023
卷号	72 期号:2 页码:327-348
英文摘要	With high resolution and wide coverage, satellite precipitation products like the Multi-Source Weighted Ensemble Precipitation (MSWEP) could support hydrological research in arid regions, where the spatial heterogeneity of precipitation is high, but rain gauges are sparse, but these products are inevitably subject to errors. In this study, we integrated measured precipitation and topographic data, and improved MSWEP by interpolation and an optimal regression model. The Tianshan Mountain area was taken as a typical arid area, and spatial stratified heterogeneity of precipitation was analyzed. The results show that: (1) The optimal regression model combined the advantages of site interpolation and MSWEP and improved the underestimation of precipitation in mountainous areas; (2) The precip-itation decreased from West to East, and from North to South, and the precipitation in West and East subregions increased linearly with the elevation. The maximum precipitation height zone in the North is located at 4300 m. There are two maximum precipitation height zones in the South; (3) The accuracy of spatial interpolation of station data was limited by the uneven distribution of the stations in the East subregion, and the inaccuracy of MSWEP was due to the land cover and topography of the North and South subregions. The improved MSWEP (IMMSWEP) not only resolved the problem of lack of rainfall stations in arid area, but also resulted in an inversion of regional spatial precipitation differentiation with high resolution and high precision, providing a reference for meteorological researchers.& COPY; 2023 COSPAR. Published by Elsevier B.V. All rights reserved.
英文关键词	Precipitation MSWEP Arid area Spatial heterogeneity Data fusion
类型	Article
语种	英语
收录类别	SCI-E
WOS记录号	WOS:001012908900001
WOS关键词	SUMMER PRECIPITATION ; PASSIVE MICROWAVE ; SATELLITE ; PRODUCTS ; TRMM ; UNCERTAINTIES ; CLIMATE ; REANALYSIS ; PATTERNS ; XINJIANG
WOS类目	Engineering, Aerospace ; Astronomy & Astrophysics ; Geosciences, Multidisciplinary ; Meteorology & Atmospheric Sciences
WOS研究方向	Engineering ; Astronomy & Astrophysics ; Geology ; Meteorology & Atmospheric Sciences
资源类型	期刊论文
条目标识符	http://119.78.100.177/qdio/handle/2XILL650/394980
推荐引用方式 GB/T 7714	Li, Xiaoqian,Li, Xiaolong,He, Xinlin,et al. Improvement of the multi-source weighted-ensemble precipitation dataset and application in the arid area of Tianshan Mountains, central Asia[J],2023,72(2):327-348.
APA	Li, Xiaoqian.,Li, Xiaolong.,He, Xinlin.,Du, Yongjun.,Yu, Jiawen.,...&Xu, Wenhe.(2023).Improvement of the multi-source weighted-ensemble precipitation dataset and application in the arid area of Tianshan Mountains, central Asia.ADVANCES IN SPACE RESEARCH,72(2),327-348.
MLA	Li, Xiaoqian,et al."Improvement of the multi-source weighted-ensemble precipitation dataset and application in the arid area of Tianshan Mountains, central Asia".ADVANCES IN SPACE RESEARCH 72.2(2023):327-348.