干旱区生态环境知识资源中心(Arid): Evaluation of the integrated multi-satellite retrievals for global precipitation measurement over the Tibetan Plateau

Arid

	Evaluation of the integrated multi-satellite retrievals for global precipitation measurement over the Tibetan Plateau
	Ma Lu; Zhao Lin; Tian Liming; Yuan Liming; Xiao Yao; Zhang Lele; Zou Defu; Qiao Yongping
来源期刊	Journal of Mountain Science
ISSN	1672-6316
出版年	2019
卷号	16 期号:7 页码:1500-1514
英文摘要	The availability of high-resolution satellite precipitation measurement products provides an opportunity to monitor precipitation over large and complex terrain and thus accurately evaluate the climatic,hydrological and ecological conditions in those regions.The Global Precipitation Measurement (GPM) mission is an important new program designed for global satellite precipitation estimation,but little information has been reported on the applicability of the GPM‟s products for the Tibetan Plateau (TP).The object of this study is to evaluate the accuracy of the Integrated Multi-Satellite Retrievals for GPM (IMERG) Final Run product under different terrain and climate conditions over the TP by using 78 ground gauges from April 2014 to December 2017.The results showed the following:(1) the 3-year average daily precipitation estimation in the IMERG agrees well with the rain gauge observations (R~2=0.58,P<0.01),and IMERG also has a considerable ability to detect precipitation,as indicated by a high probability of detection (78%-98%) and critical success index (65%-85%);(2) IMERG performed better at altitudes from 3000 m to 4000 m with a small relative bias (RB) of 6.4%.Precipitation change was not significantly affected by local relief;(3) the climate system of the TP was divided into four climate groups with a total of 12 climate types based on the Koppen climate classification system,and IMERG performed well in all climate types with the exception of the arid-desert-cold climate (Bwk) type.Furthermore,although IMERG showed the potential to detect snowfall,it still exhibits deficiencies in identifying light and moderate snow.These results indicate that IMERG could provide more accurate precipitation data if its retrieval algorithm was improved for complex terrain and arid regions.
英文关键词	GPM IMERG Rain gauge Topography Koppen climate classification Tibetan Plateau
类型	Article
语种	英语
收录类别	CSCD
WOS研究方向	Meteorology & Atmospheric Sciences
CSCD记录号	CSCD:6532956
资源类型	期刊论文
条目标识符	http://119.78.100.177/qdio/handle/2XILL650/336138
作者单位	Ma Lu, Northwest Institute of Eco-Environment and Resources,Chinese Academy of Sciences;;University of Chinese Academy of Sciences, State Key Laboratory of Cryospheric Sciences;;Cryosphere Research Station on the Qinghai-Tibetan Plateau,Chinese Academy of Sciences;;, Lanzhou;;, ;;Beijing 730000;;100049.; Zhao Lin, Northwest Institute of Eco-Environment and Resources,Chinese Academy of Sciences;;University of Chinese Academy of Sciences, State Key Laboratory of Cryospheric Sciences;;Cryosphere Research Station on the Qinghai-Tibetan Plateau,Chinese Academy of Sciences;;, Lanzhou;;, ;;Beijing 730000;;100049.; Yuan Liming, Northwest Institute of Eco-Environment and Resources,Chinese Academy of Sciences;;University of Chinese Academy of Sciences, State Key Laboratory of Cryospheric Sciences;;Cryosphere Research Station on the Qinghai-Tibetan Plateau,Chinese Academy of Sciences;;, Lanzhou;;, ;;Beijing 730000;;100049.; Tian Liming, College of Life Sciences,Sichuan University, Key Laboratory for Bio-resource and...
推荐引用方式 GB/T 7714	Ma Lu,Zhao Lin,Tian Liming,et al. Evaluation of the integrated multi-satellite retrievals for global precipitation measurement over the Tibetan Plateau[J],2019,16(7):1500-1514.
APA	Ma Lu.,Zhao Lin.,Tian Liming.,Yuan Liming.,Xiao Yao.,...&Qiao Yongping.(2019).Evaluation of the integrated multi-satellite retrievals for global precipitation measurement over the Tibetan Plateau.Journal of Mountain Science,16(7),1500-1514.
MLA	Ma Lu,et al."Evaluation of the integrated multi-satellite retrievals for global precipitation measurement over the Tibetan Plateau".Journal of Mountain Science 16.7(2019):1500-1514.