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

Yagmur Derin; Emmanouil Anagnostou; Alexis Berne; Marco Borga; Brice Boudevillain; Wouter Buytaert; Che-Hao Chang; Haonan Chen; Guy Delrieu; Yung Chia Hsu; Waldo Lavado-Casimiro; Bastian Manz; Semu Moges; Efthymios I. Nikolopoulos; Dejene Sahlu; Franco Salerno; Juan-Pablo Rodriguez-Sanchez; Humberto J. Vergara; Koray K. Yilmaz

doi:10.3390/rs11242936

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

Journal article

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

Yagmur Derin, Emmanouil Anagnostou, Alexis Berne, Marco Borga, Brice Boudevillain, Wouter Buytaert, Che-Hao Chang, Haonan Chen, Guy Delrieu, Yung Chia Hsu, …

Remote sensing (Basel, Switzerland), Vol.11(24), p.2936

12/07/2019

DOI: 10.3390/rs11242936

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Abstract

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.

Environmental Sciences

Environmental Sciences & Ecology

Geology

Geosciences, Multidisciplinary

Imaging Science & Photographic Technology

Life Sciences & Biomedicine

Physical Sciences

Remote Sensing

Science & Technology

Technology

Details

Title: Subtitle: Evaluation of GPM-era Global Satellite Precipitation Products over Multiple Complex Terrain Regions
Creators: Yagmur Derin - University of Connecticut
Emmanouil Anagnostou - University of Connecticut
Alexis Berne - École Polytechnique Fédérale de Lausanne
Marco Borga - University of Padua
Brice Boudevillain - Institut des Géosciences de l'Environnement
Wouter Buytaert - Imperial College London
Che-Hao Chang - Natl Taipei Univ Technol, Dept Civil Engn, Taipei 10608, Taiwan
Haonan Chen - NOAA Earth System Research Laboratory
Guy Delrieu - Institut des Géosciences de l'Environnement
Yung Chia Hsu - National Yang Ming Chiao Tung University
Waldo Lavado-Casimiro - Servicio Nacional de Meteorología e Hidrología del Perú
Bastian Manz - Imperial College London
Semu Moges - Addis Ababa Science and Technology University
Efthymios I. Nikolopoulos - Florida Institute of Technology
Dejene Sahlu - Bahir Dar University
Franco Salerno - Water Research Institute
Juan-Pablo Rodriguez-Sanchez - Universidad de Los Andes
Humberto J. Vergara - Cooperative Institute for Mesoscale Meteorological Studies
Koray K. Yilmaz - Middle East Technical University
Resource Type: Journal article
Publication Details: Remote sensing (Basel, Switzerland), Vol.11(24), p.2936
DOI: 10.3390/rs11242936
ISSN: 2072-4292
eISSN: 2072-4292
Publisher: Mdpi
Number of pages: 24
Grant note: NNX07AE31G / NASA Precipitation Measurement Mission award Eversource Energy Center at the University of Connecticut
Language: English
Date published: 12/07/2019
Academic Unit: Civil and Environmental Engineering
Record Identifier: 9984446517202771

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