Evaluation of GPM-Era satellite precipitation products on the southern slopes of the central Himalayas against rain gauge data

doi:10.3390/rs12111836

CORC > 成都山地灾害与环境研究所 > 中国科学院水利部成都山地灾害与环境研究所

	Evaluation of GPM-Era satellite precipitation products on the southern slopes of the central Himalayas against rain gauge data
	Sharma Shankar 1,5; Chen Yingying 1,2; Zhou Xu 1; Yang Kun 2,3; Li Xin 1,2; Niu Xiaolei 1; Hu Xin 1,5; Khadka Nitesh 4,5
刊名	Remote Sensing
	2020
卷号	12 期号:11 页码:1836
关键词	Mean square error Rain gages Satellites Spatial distribution
ISSN号	0000
DOI	10.3390/rs12111836
通讯作者	Chen, Yingying(chenyy@itpcas.ac.cn)
产权排序	5
文献子类	Article
英文摘要	The Global Precipitation Measurement (GPM) mission provides high-resolution precipitation estimates globally. However, their accuracy needs to be accessed for algorithm enhancement and hydro-meteorological applications. This study applies data from 388 gauges in Nepal to evaluate the spatial-temporal patterns presented in recently-developed GPM-Era satellite-based precipitation (SBP) products, i.e., the Integrated Multi-satellite Retrievals for GPM (IMERG), satellite-only (IMERG-UC), the gauge-calibrated IMERG (IMERG-C), the Global Satellite Mapping of Precipitation (GSMaP), satellite-only (GSMaP-MVK), and the gauge-calibrated GSMaP (GSMaP-Gauge). The main results are as follows: (1) GSMaP-Gauge datasets is more reasonable to represent the observed spatial distribution of precipitation, followed by IMERG-UC, GSMaP-MVK, and IMERG-C. (2) The gauge-calibrated datasets are more consistent (in terms of relative root mean square error (RRMSE) and correlation coefficient (R) than the satellite-only datasets in representing the seasonal dynamic range of precipitation. However, all four datasets can reproduce the seasonal cycle of precipitation, which is predominately governed by the monsoon system. (3) Although all four SBP products underestimate the monsoonal precipitation, the gauge-calibrated IMERG-C yields smaller mean bias than GSMaP-Gauge, while GSMaP-Gauge shows the smaller RRMSE and higher R-value; indicating IMERG-C is more reliable to estimate precipitation amount than GSMaP-Gauge, whereas GSMaP-Gauge presents more reasonable spatial distribution than IMERG-C. Only IMERG-C moderately reproduces the evident elevation-dependent pattern of precipitation revealed by gauge observations, i.e., gradually increasing with elevation up to 2000 m and then decreasing; while GSMaP-Gauge performs much better in representing the gauge observed spatial pattern than others. (4) The GSMaP-Gauge calibrated based on the daily gauge analysis is more consistent with detecting gauge observed precipitation events among the four datasets. The high-intensity related precipitation extremes (95th percentile) are more intense in regions with an elevation below 2500 m; all four SBP datasets have low accuracy (40%) the frequency of extreme events at most of the stations across the country. This work represents the quantification of the new-generation SBP products on the southern slopes of the central Himalayas in Nepal. © 2020 by the authors.
电子版国际标准刊号	2072-4292
资助项目	National Natural Science Foundation of China[41871280] ; National Natural Science Foundation of China[41471286] ; Second Tibetan Plateau Scientific Expedition and Research Program (STEP)[2019QZKK0206] ; 13th five-year Informatization Plan of Chinese Academy of Sciences[XXH13505-06]
WOS关键词	MICROWAVE ; GSMAP ; NEPAL ; IMERG ; PERFORMANCE ; MONSOON ; TRMM ; VALIDATION ; MOUNTAINS ; ALGORITHM
WOS研究方向	Remote Sensing
语种	英语
出版者	MDPI
WOS记录号	WOS:000543397000141
资助机构	National Natural Science Foundation of China ; Second Tibetan Plateau Scientific Expedition and Research Program (STEP) ; 13th five-year Informatization Plan of Chinese Academy of Sciences
内容类型	期刊论文
源URL	[http://ir.imde.ac.cn/handle/131551/34911]
专题	中国科学院水利部成都山地灾害与环境研究所
通讯作者	Chen Yingying
作者单位	1.National Tibetan Plateau Data Center, Key Laboratory of Tibetan Environmental Changes and Land Surface Processes, Institute of Tibetan Plateau Research, Chinese Academy of Sciences, Beijing 100101, China; 2.CAS Center for Excellence in Tibetan Plateau Earth Sciences, Beijing, 100101, China; 3.Ministry of Education Key Laboratory for Earth System Modeling and Center for Earth System Science, Tsinghua University, Beijing, 100084, China; 4.Institute of Mountain Hazards and Environment, Chinese Academy of Sciences, Chengdu, 610041, China 5.University of Chinese Academy of Sciences, Beijing; 100049, China;
推荐引用方式 GB/T 7714	Sharma Shankar,Chen Yingying,Zhou Xu,et al. Evaluation of GPM-Era satellite precipitation products on the southern slopes of the central Himalayas against rain gauge data[J]. Remote Sensing,2020,12(11):1836.
APA	Sharma Shankar.,Chen Yingying.,Zhou Xu.,Yang Kun.,Li Xin.,...&Khadka Nitesh.(2020).Evaluation of GPM-Era satellite precipitation products on the southern slopes of the central Himalayas against rain gauge data.Remote Sensing,12(11),1836.
MLA	Sharma Shankar,et al."Evaluation of GPM-Era satellite precipitation products on the southern slopes of the central Himalayas against rain gauge data".Remote Sensing 12.11(2020):1836.