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Article

Comparative Analysis of TMPA and IMERG Precipitation Datasets in the Arid Environment of El-Qaa Plain, Sinai

1
Geology Department, Faculty of Science, Suez Canal University, Ismailia 41522, Egypt
2
Soil Science and Geomorphology, Eberhard Karls University Tübingen, Rümelinstraße 19–23, D-72070 Tübingen, Germany
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Department of Monitoring and Exploration Technologies, Helmholtz Center for Environmental Research, 04318 Leipzig, Germany
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Department of Civil Engineering and Geomatics, Cyprus University of Technology, 3036 Limassol, Cyprus
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ERATOSTHENES Centre of Excellence, 3036 Limassol, Cyprus
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German Aerospace Center, German Remote Sensing Data Center, National Ground Segment, D-17235 Neustrelitz, Germany
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Geoinformatics and Geodesy, Neubrandenburg University of Applied Sciences, D-17033 Neubrandenburg, Germany
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Geography Department, Faculty of Arts and Social Sciences, Sultan Qaboos University, Muscat 123, Oman
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Faculty of Engineering, Zagazig University, Zagazig 44519, Egypt
*
Author to whom correspondence should be addressed.
Academic Editor: Vincenzo Levizzani
Remote Sens. 2021, 13(4), 588; https://doi.org/10.3390/rs13040588
Received: 16 January 2021 / Revised: 4 February 2021 / Accepted: 4 February 2021 / Published: 7 February 2021
(This article belongs to the Special Issue In Situ Data in the Interplay of Remote Sensing)
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. View Full-Text
Keywords: precipitation; TRMM; GPM; stressed aquifers; arid areas; Sinai precipitation; TRMM; GPM; stressed aquifers; arid areas; Sinai
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MDPI and ACS Style

Morsy, M.; Scholten, T.; Michaelides, S.; Borg, E.; Sherief, Y.; Dietrich, P. Comparative Analysis of TMPA and IMERG Precipitation Datasets in the Arid Environment of El-Qaa Plain, Sinai. Remote Sens. 2021, 13, 588. https://doi.org/10.3390/rs13040588

AMA Style

Morsy M, Scholten T, Michaelides S, Borg E, Sherief Y, Dietrich P. Comparative Analysis of TMPA and IMERG Precipitation Datasets in the Arid Environment of El-Qaa Plain, Sinai. Remote Sensing. 2021; 13(4):588. https://doi.org/10.3390/rs13040588

Chicago/Turabian Style

Morsy, Mona, Thomas Scholten, Silas Michaelides, Erik Borg, Youssef Sherief, and Peter Dietrich. 2021. "Comparative Analysis of TMPA and IMERG Precipitation Datasets in the Arid Environment of El-Qaa Plain, Sinai" Remote Sensing 13, no. 4: 588. https://doi.org/10.3390/rs13040588

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