干旱区生态环境知识资源中心(Arid): Comparative Analysis of TMPA and IMERG Precipitation Datasets in the Arid Environment of El-Qaa Plain, Sinai

Arid

DOI	10.3390/rs13040588
	Comparative Analysis of TMPA and IMERG Precipitation Datasets in the Arid Environment of El-Qaa Plain, Sinai
	Morsy, Mona; Scholten, Thomas; Michaelides, Silas; Borg, Erik; Sherief, Youssef; Dietrich, Peter
通讯作者	Morsy, M (corresponding author), Suez Canal Univ, Fac Sci, Geol Dept, Ismailia 41522, Egypt. ; Morsy, M (corresponding author), Eberhard Karls Univ Tubingen, Soil Sci & Geomorphol, Rumelinstr 19-23, D-72070 Tubingen, Germany. ; Morsy, M (corresponding author), Helmholtz Ctr Environm Res, Dept Monitoring & Explorat Technol, D-04318 Leipzig, Germany.
来源期刊	REMOTE SENSING
EISSN	2072-4292
出版年	2021
卷号	13 期号:4
英文摘要	The replenishment of aquifers depends mainly on precipitation rates, which is of vital importance for determining water budgets in arid and semi-arid regions. El-Qaa Plain in the Sinai Peninsula is a region that experiences constant population growth. This study compares the performance of two sets of satellite-based data of precipitation and in situ rainfall measurements. The dates selected refer to rainfall events between 2015 and 2018. For this purpose, 0.1 degrees and 0.25 degrees spatial resolution TMPA (Tropical Rainfall Measurement Mission Multi-satellite Precipitation Analysis) and IMERG (Integrated Multi-satellite Retrievals for Global Precipitation Measurement) data were retrieved and analyzed, employing appropriate statistical metrics. The best-performing data set was determined as the data source capable to most accurately bridge gaps in the limited rain gauge records, embracing both frequent light-intensity rain events and more rare heavy-intensity events. With light-intensity events, the corresponding satellite-based data sets differ the least and correlate more, while the greatest differences and weakest correlations are noted for the heavy-intensity events. The satellite-based records best match those of the rain gauges during light-intensity events, when compared to the heaviest ones. IMERG data exhibit a superior performance than TMPA in all rainfall intensities.
英文关键词	precipitation TRMM GPM stressed aquifers arid areas Sinai
类型	Article
语种	英语
开放获取类型	Green Accepted, gold, Green Submitted, Green Published
收录类别	SCI-E
WOS记录号	WOS:000624435400001
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/2XILL650/351480
作者单位	[Morsy, Mona] Suez Canal Univ, Fac Sci, Geol Dept, Ismailia 41522, Egypt; [Morsy, Mona; Scholten, Thomas; Dietrich, Peter] Eberhard Karls Univ Tubingen, Soil Sci & Geomorphol, Rumelinstr 19-23, D-72070 Tubingen, Germany; [Morsy, Mona] Helmholtz Ctr Environm Res, Dept Monitoring & Explorat Technol, D-04318 Leipzig, Germany; [Michaelides, Silas] Cyprus Univ Technol, Dept Civil Engn & Geomat, CY-3036 Limassol, Cyprus; [Michaelides, Silas] ERATOSTHENES Ctr Excellence, CY-3036 Limassol, Cyprus; [Borg, Erik] German Aerosp Ctr, German Remote Sensing Data Ctr, Natl Ground Segment, D-17235 Neustrelitz, Germany; [Borg, Erik] Neubrandenburg Univ Appl Sci, Geoinformat & Geodesy, D-17033 Neubrandenburg, Germany; [Sherief, Youssef] Sultan Qaboos Univ, Fac Arts & Social Sci, Geog Dept, Muscat 123, Oman; [Sherief, Youssef] Zagazig Univ, Fac Engn, Zagazig 44519, Egypt
推荐引用方式 GB/T 7714	Morsy, Mona,Scholten, Thomas,Michaelides, Silas,et al. Comparative Analysis of TMPA and IMERG Precipitation Datasets in the Arid Environment of El-Qaa Plain, Sinai[J],2021,13(4).
APA	Morsy, Mona,Scholten, Thomas,Michaelides, Silas,Borg, Erik,Sherief, Youssef,&Dietrich, Peter.(2021).Comparative Analysis of TMPA and IMERG Precipitation Datasets in the Arid Environment of El-Qaa Plain, Sinai.REMOTE SENSING,13(4).
MLA	Morsy, Mona,et al."Comparative Analysis of TMPA and IMERG Precipitation Datasets in the Arid Environment of El-Qaa Plain, Sinai".REMOTE SENSING 13.4(2021).