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Article

Evaluation of GPM-era Global Satellite Precipitation Products over Multiple Complex Terrain Regions

1
Department of Civil and Environmental Engineering, University of Connecticut, Storrs, CT 06269, USA
2
Environmental Remote Sensing Laboratory, École Polytechnique Fédérale de Lausanne, 1015 Lausanne, Switzerland
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Department of Land, Environment, Agriculture and Forestry, University of Padova, 35139 Padova, Italy
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Institute of Environmental Geosciences, University of Grenoble Alpes Community, F-38000 Grenoble, France
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Department of Civil and Environmental Engineering, Imperial College London, London SW7 2AZ, UK
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Department of Civil Engineering, National Taipei University of Technology, Taipei 10608, Taiwan
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Physical Sciences Division of NOAA—Earth System Research Laboratory, Boulder, CO 80301, USA
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Disaster Prevention and Water Environment Research Center, National Chiao Tung University, Hsinchu 30010, Taiwan
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Servicio Nacional de Meteorología e Hidrología, Lima 10032, Peru
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School of Civil and Environmental Engineering, Addis Ababa Institute of Technology, Addis Ababa 1000, Ethiopia
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Department of Mechanical and Civil Engineering Florida Institute of Technology Melbourne, Melbourne, FL 329016975, USA
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Institute of Disaster Risk Management & Food Security Studies, Bahir Dar University, Bahir Dar 6000, Ethiopia
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National Research Council, Water Research Institute, 38930 Brugherio (IRSA-CNR), Italy
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Department of Civil and Environmental Engineering, Universidad de los Andes, Bogotá 111711, Colombia
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Cooperative Institute for Mesoscale Meteorological Studies, The University of Oklahoma, Norman, OK 73019, USA
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Department of Geological Engineering, Middle East Technical University, 06531 Ankara, Turkey
*
Author to whom correspondence should be addressed.
Remote Sens. 2019, 11(24), 2936; https://doi.org/10.3390/rs11242936
Received: 13 October 2019 / Revised: 27 November 2019 / Accepted: 2 December 2019 / Published: 7 December 2019
(This article belongs to the Special Issue Precipitation and Water Cycle Measurements Using Remote Sensing)
The great success of the Tropical Rainfall Measuring Mission (TRMM) and its successor Global Precipitation Measurement (GPM) has accelerated the development of global high-resolution satellite-based precipitation products (SPP). However, the quantitative accuracy of SPPs has to be evaluated before using these datasets in water resource applications. This study evaluates the following GPM-era and TRMM-era SPPs based on two years (2014–2015) of reference daily precipitation data from rain gauge networks in ten mountainous regions: Integrated Multi-SatellitE Retrievals for GPM (IMERG, version 05B and version 06B), National Oceanic and Atmospheric Administration (NOAA)/Climate Prediction Center Morphing Method (CMORPH), Global Satellite Mapping of Precipitation (GSMaP), and Multi-Source Weighted-Ensemble Precipitation (MSWEP), which represents a global precipitation data-blending product. The evaluation is performed at daily and annual temporal scales, and at 0.1 deg grid resolution. It is shown that GSMaPV07 surpass the performance of IMERGV06B Final for almost all regions in terms of systematic and random error metrics. The new orographic rainfall classification in the GSMaPV07 algorithm is able to improve the detection of orographic rainfall, the rainfall amounts, and error metrics. Moreover, IMERGV05B showed significantly better performance, capturing the lighter and heavier precipitation values compared to IMERGV06B for almost all regions due to changes conducted to the morphing, where motion vectors are derived using total column water vapor for IMERGV06B. View Full-Text
Keywords: satellite-based precipitation product; complex terrain; validation satellite-based precipitation product; complex terrain; validation
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MDPI and ACS Style

Derin, Y.; Anagnostou, E.; Berne, A.; Borga, M.; Boudevillain, B.; Buytaert, W.; Chang, C.-H.; Chen, H.; Delrieu, G.; Hsu, Y.C.; Lavado-Casimiro, W.; Manz, B.; Moges, S.; Nikolopoulos, E.I.; Sahlu, D.; Salerno, F.; Rodríguez-Sánchez, J.-P.; Vergara, H.J.; Yilmaz, K.K. Evaluation of GPM-era Global Satellite Precipitation Products over Multiple Complex Terrain Regions. Remote Sens. 2019, 11, 2936. https://doi.org/10.3390/rs11242936

AMA Style

Derin Y, Anagnostou E, Berne A, Borga M, Boudevillain B, Buytaert W, Chang C-H, Chen H, Delrieu G, Hsu YC, Lavado-Casimiro W, Manz B, Moges S, Nikolopoulos EI, Sahlu D, Salerno F, Rodríguez-Sánchez J-P, Vergara HJ, Yilmaz KK. Evaluation of GPM-era Global Satellite Precipitation Products over Multiple Complex Terrain Regions. Remote Sensing. 2019; 11(24):2936. https://doi.org/10.3390/rs11242936

Chicago/Turabian Style

Derin, Yagmur, Emmanouil Anagnostou, Alexis Berne, Marco Borga, Brice Boudevillain, Wouter Buytaert, Che-Hao Chang, Haonan Chen, Guy Delrieu, Yung C. Hsu, Waldo Lavado-Casimiro, Bastian Manz, Semu Moges, Efthymios I. Nikolopoulos, Dejene Sahlu, Franco Salerno, Juan-Pablo Rodríguez-Sánchez, Humberto J. Vergara, and Koray K. Yilmaz. 2019. "Evaluation of GPM-era Global Satellite Precipitation Products over Multiple Complex Terrain Regions" Remote Sensing 11, no. 24: 2936. https://doi.org/10.3390/rs11242936

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