干旱区生态环境知识资源中心(Arid): Post and near real-time satellite precipitation products skill over Karkheh River Basin in Iran

Arid

DOI	10.1080/01431161.2020.1739352
	Post and near real-time satellite precipitation products skill over Karkheh River Basin in Iran
	Mosaffa, Hamidreza; Shirvani, Amin; Khalili, Davar; Phu Nguyen; Sorooshian, Soroosh
通讯作者	Shirvani, A
来源期刊	INTERNATIONAL JOURNAL OF REMOTE SENSING
ISSN	0143-1161
EISSN	1366-5901
出版年	2020
卷号	41 期号:17 页码:6484-6502
英文摘要	Due to high spatial and temporal resolution and near real-time accessibility of satellite precipitation data, the necessity of using these data in the hydrological application seems to be more pressing than ever. In this study, the skill of six post real-time (Climate Hazards Group Infrared Precipitation with Station data (CHIRPS); CPC MORPHing technique (CMORPH); Precipitation Estimation from Remotely Sensed Information using Artificial Neural Networks (PERSIANN); PERSIANN Climate Data Record (PERSIANN-CDR); precipitation produced from the inversion of the satellite soil moisture (SM) observations derived from the European Space Agency (ESA) Climate Change Initiative (SM2RAIN); Tropical Rainfall Measuring Mission (TRMM 3B42-V7)) and two near real-time (PERSIANN Cloud Classification System (PERSIANN-CCS); TRMM real-time (TRMM 3B42-RT)) satellite daily precipitation products are evaluated by comparing with 28 rain gauges in Karkheh River Basin, located in the semi-arid region of Iran. The evaluation is performed for two types of quantiles (lower quantile (< Q10 and < Q25) and upper quantile (> Q50, > Q75, and > Q95)) and rainy seasons using categorical and quantitative metrics for the period March 2003 to December 2014. The spatial analysis indicated that there is not remarkable variation in the skill of satellite precipitation products across the study area. Results showed that the satellite precipitation estimates are more accurate in lower than upper quantile. The seasonal analysis presented that the skill of satellite precipitation products for fall and spring is slightly higher than winter. For post real-time satellite, in terms of POD (VHI), PERSIANN-CDR in spring (winter and spring), SM2RAIN in winter and spring (fall) shows the best skill, and according to FAR and CSI, CMORPH is the best in all seasons. In addition, VHI and POD of PERSIANN-CCS have better skill than 3B42-RT for near real-time satellite for all seasons. Generally, PERSIANN-CCS (PERSIANN-CDR and SM2RAIN) shows the best skill for near (post) real-time satellite precipitation estimations when whole data are included in the analysis.
类型	Article
语种	英语
收录类别	SCI-E
WOS记录号	WOS:000544465100001
WOS关键词	ANALYSIS TMPA ; RAINFALL ; TRMM ; PERFORMANCE ; VALIDATION
WOS类目	Remote Sensing ; Imaging Science & Photographic Technology
WOS研究方向	Remote Sensing ; Imaging Science & Photographic Technology
资源类型	期刊论文
条目标识符	http://119.78.100.177/qdio/handle/2XILL650/324881
作者单位	[Mosaffa, Hamidreza; Shirvani, Amin; Khalili, Davar] Shiraz Univ, Water Engn Dept, Shiraz, Iran; [Phu Nguyen; Sorooshian, Soroosh] Univ Calif Irvine, Dept Civil & Environm Engn, Irvine, CA USA; [Sorooshian, Soroosh] Univ Calif Irvine, Dept Earth Syst Sci, Irvine, CA USA
推荐引用方式 GB/T 7714	Mosaffa, Hamidreza,Shirvani, Amin,Khalili, Davar,et al. Post and near real-time satellite precipitation products skill over Karkheh River Basin in Iran[J],2020,41(17):6484-6502.
APA	Mosaffa, Hamidreza,Shirvani, Amin,Khalili, Davar,Phu Nguyen,&Sorooshian, Soroosh.(2020).Post and near real-time satellite precipitation products skill over Karkheh River Basin in Iran.INTERNATIONAL JOURNAL OF REMOTE SENSING,41(17),6484-6502.
MLA	Mosaffa, Hamidreza,et al."Post and near real-time satellite precipitation products skill over Karkheh River Basin in Iran".INTERNATIONAL JOURNAL OF REMOTE SENSING 41.17(2020):6484-6502.