干旱区生态环境知识资源中心(Arid): Impact of the crucial geographic and climatic factors on the input source errors of GPM-based global satellite precipitation estimates

Arid

DOI	10.1016/j.jhydrol.2019.05.020
	Impact of the crucial geographic and climatic factors on the input source errors of GPM-based global satellite precipitation estimates
	Chen, Hanging 1,2; Yong, Bin 1,2; Gourley, Jonathan J.3; Liu, Jiufu 4; Ren, Liliang 1; Wang, Weiguang 1; Hong, Yang 5; Zhang, Jianyun 4
通讯作者	Yong, Bin
来源期刊	JOURNAL OF HYDROLOGY
ISSN	0022-1694
EISSN	1879-2707
出版年	2019
卷号	575 页码:1-16
英文摘要	The impact of crucial geographic and climatic factors on the input source errors of integrated multi-satellite precipitation estimates is an important but still unclear issue for both algorithm developers and data users. This study primarily focused on the impacts of the twelve input sources used in the latest Global Satellite Mapping of Precipitation for Global Precipitation Measurement (GPM-GSMaP) for different climatic regions, elevations, and seasons over mainland China. Our evaluation results show that the error features of the input sources from several passive microwave and infrared sensors are related to the accuracy of GPM-GSMaP precipitation estimates. The input sources show larger hits, misses and false biases in the semi-arid and arid regions, for which the false bias was particularly significant. As for the seasonality, the input data sources exhibit a better performance in summer and have relatively lower hits and higher biases in winter. We also found that precipitation retrievals of the input sources are affected by topography in different extents. In terms of passive microwave sensors, the conical-scanning imagers generally outperform the cross-track-scanning sounders, but the sounders-based precipitation estimates have relatively better detection capability. As one of the core sensors for GPM, the microwave imager GMI reveals inadequacies in representing areal rainfall patterns and has relatively large biases especially in the winter and spring seasons, suggesting that the current GMI algorithm might need to be further improved.
英文关键词	GPM-GSMaP Climate Elevation Season Mainland China
类型	Article
语种	英语
国家	Peoples R China ; USA
收录类别	SCI-E
WOS记录号	WOS:000488143000001
WOS关键词	PASSIVE MICROWAVE ; PRODUCTS ; GSMAP ; RAINFALL ; TMPA ; BASIN ; IMERG
WOS类目	Engineering, Civil ; Geosciences, Multidisciplinary ; Water Resources
WOS研究方向	Engineering ; Geology ; Water Resources
来源机构	河海大学
资源类型	期刊论文
条目标识符	http://119.78.100.177/qdio/handle/2XILL650/217166
作者单位	1.Hohai Univ, State Key Lab Hydrol Water Resources & Hydraul En, Nanjing 210098, Jiangsu, Peoples R China; 2.Hohai Univ, Sch Earth Sci & Engn, Nanjing 210098, Jiangsu, Peoples R China; 3.NOAA, Natl Severe Storms Lab, Norman, OK 73072 USA; 4.Nanjing Hydraul Res Inst, Nanjing 210029, Jiangsu, Peoples R China; 5.Univ Oklahoma, Sch Civil Engn & Environm Sci, Norman, OK 73019 USA
推荐引用方式 GB/T 7714	Chen, Hanging,Yong, Bin,Gourley, Jonathan J.,et al. Impact of the crucial geographic and climatic factors on the input source errors of GPM-based global satellite precipitation estimates[J]. 河海大学,2019,575:1-16.
APA	Chen, Hanging.,Yong, Bin.,Gourley, Jonathan J..,Liu, Jiufu.,Ren, Liliang.,...&Zhang, Jianyun.(2019).Impact of the crucial geographic and climatic factors on the input source errors of GPM-based global satellite precipitation estimates.JOURNAL OF HYDROLOGY,575,1-16.
MLA	Chen, Hanging,et al."Impact of the crucial geographic and climatic factors on the input source errors of GPM-based global satellite precipitation estimates".JOURNAL OF HYDROLOGY 575(2019):1-16.