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Title: Comparative Analysis of TMPA and IMERG Precipitation Datasets in the Arid Environment of El-Qaa Plain, Sinai
Authors: Morsy, Mona 
Scholten, Thomas 
Michaelides, Silas 
Borg, Erik 
Sherief, Youssef 
Dietrich, Peter 
Major Field of Science: Engineering and Technology
Field Category: Civil Engineering
Keywords: Precipitation;TRMM;GPM;Stressed aquifers;Arid areas;Sinai
Issue Date: 2-Feb-2021
Source: Remote Sensing, 2021, vol. 13, no. 4, articl. no. 588
Volume: 13
Issue: 4
Project: ERATOSTHENES: Excellence Research Centre for Earth Surveillance and Space-Based Monitoring of the Environment 
Journal: Remote Sensing 
Abstract: 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° and 0.25° 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.
ISSN: 2072-4292
DOI: 10.3390/rs13040588
Rights: This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited
Attribution-NonCommercial-NoDerivatives 4.0 International
Type: Article
Affiliation : Suez Canal University 
Eberhard Karls University Tübingen 
Helmholtz Center for Environmental Research 
Cyprus University of Technology 
ERATOSTHENES Centre of Excellence 
German Remote Sensing Data Center 
Neubrandenburg University of Applied Sciences 
Sultan Qaboos University 
Zagazig University 
Appears in Collections:Publications under the auspices of the EXCELSIOR H2020 Teaming Project/ERATOSTHENES Centre of Excellence

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