干旱区生态环境知识资源中心(Arid): Reliability of GPM IMERG Satellite Precipitation Data for Modelling Flash Flood Events in Selected Watersheds in the UAE

Arid

DOI	10.3390/rs15163991
	Reliability of GPM IMERG Satellite Precipitation Data for Modelling Flash Flood Events in Selected Watersheds in the UAE
	Hamouda, Mohamed A.; Hinge, Gilbert; Yemane, Henok S.; Al Mosteka, Hasan; Makki, Mohammed; Mohamed, Mohamed M.
通讯作者	Hamouda, MA
来源期刊	REMOTE SENSING
EISSN	2072-4292
出版年	2023
卷号	15 期号:16
英文摘要	Arid regions are prone to unprecedented extreme rainfall events that often result in severe flash floods. Using near-real-time precipitation data in hydrological modelling can aid in flood preparedness. This study analyzed rainfall data obtained from Integrated Multi-satellite Retrievals for Global Precipitation Measurement (IMERG V. 06) since 2001 to highlight recent trends of extreme rainfall indices for three selected watersheds in the UAE. Additionally, to validate the trends, the present study incorporated CHIRPS (Climate Hazards Group InfraRed Precipitation with Station data) into the analysis. Furthermore, for the first time, this study assessed the performance of the three products of IMERG in modelling flash flood events in the selected watersheds of UAE. A physical-based, fully distributed model was used to simulate the heaviest storm event. Also, a sensitivity analysis of the model's output to variations in the input parameters was conducted using the one-factor-at-a-time method. The result of the trend analysis indicated that IMERG and CHIRPS show similar trends in both datasets, indicating agreement and reliability in their observations. However, there are a few instances where IMERG and CHIRPS show slight discrepancies in the nature of the trend. In general, the trend analysis results indicated an increasing trend of total precipitation (mm) and consecutive wet days, which suggests a rise in the risk of flash floods. The simulation of the flash flood event showed that the IMERG final product outperformed the other two products, closely matching the model output of the gauge rainfall data with mean absolute error (MAE) of 1.5, 2.37, and 0.5 for Wadi Ham, Wadi Taween, and Wadi Maidaq, respectively. The model's performance was positively correlated with the size of the watershed. The sensitivity analysis results demonstrated that the model's output was most sensitive to infiltration parameters. The study's outcomes provide a good opportunity to improve near-real-time impact evaluation of flash flood events in the watersheds of the UAE.
英文关键词	extreme rainfall flash floods GSSHA GPM IMERG sensitivity analysis
类型	Article
语种	英语
开放获取类型	gold
收录类别	SCI-E
WOS记录号	WOS:001056858800001
WOS关键词	RAINFALL ; PRODUCTS ; REGION
WOS类目	Environmental Sciences ; Geosciences, Multidisciplinary ; Remote Sensing ; Imaging Science & Photographic Technology
WOS研究方向	Environmental Sciences & Ecology ; Geology ; 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/2XILL650/398313
推荐引用方式 GB/T 7714	Hamouda, Mohamed A.,Hinge, Gilbert,Yemane, Henok S.,et al. Reliability of GPM IMERG Satellite Precipitation Data for Modelling Flash Flood Events in Selected Watersheds in the UAE[J],2023,15(16).
APA	Hamouda, Mohamed A.,Hinge, Gilbert,Yemane, Henok S.,Al Mosteka, Hasan,Makki, Mohammed,&Mohamed, Mohamed M..(2023).Reliability of GPM IMERG Satellite Precipitation Data for Modelling Flash Flood Events in Selected Watersheds in the UAE.REMOTE SENSING,15(16).
MLA	Hamouda, Mohamed A.,et al."Reliability of GPM IMERG Satellite Precipitation Data for Modelling Flash Flood Events in Selected Watersheds in the UAE".REMOTE SENSING 15.16(2023).