Assessment of high-resolution satellite rainfall products over a gradually elevating mountainous terrain based on a high-density rain gauge network

doi:10.1080/01431161.2020.1734255

	Assessment of high-resolution satellite rainfall products over a gradually elevating mountainous terrain based on a high-density rain gauge network
	Yu, Linfei 2,3,4; Ma, Lexin 2; Li, Huilong 2; Zhang, Yongqiang 1; Kong, Fanchao 5; Yang, Yonghui 2,3
刊名	INTERNATIONAL JOURNAL OF REMOTE SENSING
	2020-07-17
卷号	41 期号:14 页码:5620-5644
ISSN号	0143-1161
DOI	10.1080/01431161.2020.1734255
通讯作者	Yang, Yonghui(yonghui.yang@sjziam.ac.cn)
英文摘要	High-resolution satellite rainfall products (SRPs) provide forcing inputs for hydrologic applications. Complex mountainous terrains have a significant effect on the occurrence and intensity of rainfall. This study focuses on the assessment of errors and rainfall detection capability of SRPs over a complex terrain with an elevation ranging from -95 to 3091 m based on a high-density rain gauge network over the Taihang Mountains of North China. The performance of four high-resolution SRPs (rain gauge bias-corrected Climate Prediction Center morphing technique (CMORPH CRT), Integrated Multi-satellite Retrievals for Global Precipitation Measurement (IMERG), Tropical Rainfall Measuring Mission (TRMM) 3B42V7; and Precipitation Estimation from Remotely Sensed Information using Artificial Neural Network-Cloud Classification System (PERSIANN-CCS)) was validated using 104 rain gauge stations from 1 January 2016 to 31 December 2017, and the results show that the annual rainfall varied from 375 mm to 1400 mm on average in 2016 and 2017. At the monthly scale, all SRPs except PERSIANN-CCS performed well. The spatial pattern of the annual rainfall variation, which was highest in the southeast and lowest in the northwest, was adequately captured by IMERG and 3B42 but not CMORPH CRT and PERSIANN-CCS. As indicated by the statistical metrics, all SRPs except PERSIANN-CCS exhibited better performance in the regions in the downward direction of the East-Asian Monsoon. In terms of rainfall detection, all SRPs exhibited moderate rainfall detection capability while IMERG exhibited the lowest false alarm ratio (FAR) equal to 0.41. Compared with 3B42, a significant improvement was found in IMERG, which presented increased correlation coefficient (r) and decreased FAR values over the study areas, and the improvement rate was 75% and 95%, respectively. All SRPs underestimated the no/light rainfall (0-1 mm day(-1)) events. IMERG and PERSIANN-CCS exhibited poor performance with significant underestimation of the 1-2 mm day(-1) rainfall class and overestimation of the 2-5 mm day(-1) rainfall class. Our results not only demonstrate the superiority of different products at different elevations but also provide suggestions for further improvement of the SRPs, especially for complex terrains.
资助项目	Natural Science Foundation Committee[41671021] ; Major Science Program for Water Pollution Control and Treatment[2018ZX07110001]
WOS关键词	PRECIPITATION ANALYSIS TMPA ; AIR-POLLUTION ; TIBETAN PLATEAU ; SUMMER MONSOON ; DAY-1 IMERG ; GPM IMERG ; TRMM ; REGION ; NORTH ; CHINA
WOS研究方向	Remote Sensing ; Imaging Science & Photographic Technology
语种	英语
出版者	TAYLOR & FRANCIS LTD
WOS记录号	WOS:000535425000001
资助机构	Natural Science Foundation Committee ; Major Science Program for Water Pollution Control and Treatment
内容类型	期刊论文
源URL	[http://ir.igsnrr.ac.cn/handle/311030/159576]
专题	中国科学院地理科学与资源研究所
通讯作者	Yang, Yonghui
作者单位	1.Chinese Acad Sci, Inst Geog Sci & Nat Resources Res, Key Lab Water Cycle & Related Land Surface Proc, Beijing, Peoples R China 2.Chinese Acad Sci, Inst Genet & Dev Biol, Ctr Agr Resources Res, Key Lab Agr Water Resource,Hebei Lab Agr Water Sa, 286 Huaizhong Rd, Shijiazhuang 050021, Hebei, Peoples R China 3.Univ Chinses Acad Sci, Sino Danish Coll, Beijing, Peoples R China 4.Sino Danish Ctr Educ & Res, Beijing, Peoples R China 5.Hebei Meteorol Observ, Shijiazhuang, Hebei, Peoples R China
推荐引用方式 GB/T 7714	Yu, Linfei,Ma, Lexin,Li, Huilong,et al. Assessment of high-resolution satellite rainfall products over a gradually elevating mountainous terrain based on a high-density rain gauge network[J]. INTERNATIONAL JOURNAL OF REMOTE SENSING,2020,41(14):5620-5644.
APA	Yu, Linfei,Ma, Lexin,Li, Huilong,Zhang, Yongqiang,Kong, Fanchao,&Yang, Yonghui.(2020).Assessment of high-resolution satellite rainfall products over a gradually elevating mountainous terrain based on a high-density rain gauge network.INTERNATIONAL JOURNAL OF REMOTE SENSING,41(14),5620-5644.
MLA	Yu, Linfei,et al."Assessment of high-resolution satellite rainfall products over a gradually elevating mountainous terrain based on a high-density rain gauge network".INTERNATIONAL JOURNAL OF REMOTE SENSING 41.14(2020):5620-5644.