Multiregional Satellite Precipitation Products Evaluation over Complex Terrain

Yagmur Derin; Emmanouil Anagnostou; Alexis Berne; Marco Borga; Brice Boudevillain; Wouter Buytaert; Che-Hao Chang; Guy Delrieu; Yang Hong; Yung Chia Hsu; Waldo Lavado-Casimiro; Bastian Manz; Semu Moges; Efthymios Nikolopoulos; Dejene Sahlu; Franco Salerno; Juan-Pablo Rodríguez-Sánchez; Humberto Vergara; Koray Yilmaz

doi:10.1175/JHM-D-15-0197.1

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Multiregional Satellite Precipitation Products Evaluation over Complex Terrain

Journal article

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Multiregional Satellite Precipitation Products Evaluation over Complex Terrain

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

Journal of hydrometeorology, Vol.17(6), pp.1817-1836

06/2016

DOI: 10.1175/JHM-D-15-0197.1

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Abstract

An extensive evaluation of nine global-scale high-resolution satellite-based rainfall (SBR) products is performed using a minimum of 6 years (within the period of 2000–13) of reference rainfall data derived from rain gauge networks in nine mountainous regions across the globe. The SBR products are compared to a recently released global reanalysis dataset from the European Centre for Medium-Range Weather Forecasts (ECMWF). The study areas include the eastern Italian Alps, the Swiss Alps, the western Black Sea of Turkey, the French Cévennes, the Peruvian Andes, the Colombian Andes, the Himalayas over Nepal, the Blue Nile in East Africa, Taiwan, and the U.S. Rocky Mountains. Evaluation is performed at annual, monthly, and daily time scales and 0.25° spatial resolution. The SBR datasets are based on the following retrieval algorithms: Tropical Rainfall Measuring Mission Multisatellite Precipitation Analysis (TMPA), the NOAA/Climate Prediction Center morphing technique (CMORPH), Precipitation Estimation from Remotely Sensed Information Using Artificial Neural Networks (PERSIANN), and Global Satellite Mapping of Precipitation (GSMaP). SBR products are categorized into those that include gauge adjustment versus unadjusted. Results show that performance of SBR is highly dependent on the rainfall variability. Many SBR products usually underestimate wet season and overestimate dry season precipitation. The performance of gauge adjustment to the SBR products varies by region and depends greatly on the representativeness of the rain gauge network.

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Earth Sciences

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Details

Title: Subtitle: Multiregional Satellite Precipitation Products Evaluation over Complex Terrain
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 - Université Grenoble Alpes
Wouter Buytaert - Imperial College London
Che-Hao Chang
Guy Delrieu - Laboratoire de Glaciologie et Géophysique de l’Environnement
Yang Hong - University of Oklahoma
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 Nikolopoulos - University of Padua
Dejene Sahlu - Addis Ababa Science and Technology University
Franco Salerno - Water Research Institute
Juan-Pablo Rodríguez-Sánchez - Universidad de Los Andes
Humberto Vergara - University of Oklahoma
Koray Yilmaz - Middle East Technical University
Resource Type: Journal article
Publication Details: Journal of hydrometeorology, Vol.17(6), pp.1817-1836
DOI: 10.1175/JHM-D-15-0197.1
ISSN: 1525-755X
eISSN: 1525-7541
Publisher: American Meteorological Society
Language: English
Date published: 06/2016
Academic Unit: Civil and Environmental Engineering
Record Identifier: 9984446539302771

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