Journal article
Multiregional Satellite Precipitation Products Evaluation over Complex Terrain
- Derin, Yagmur Department of Civil and Environmental Engineering, University of Connecticut, Storrs, Connecticut
- Anagnostou, Emmanouil Department of Civil and Environmental Engineering, University of Connecticut, Storrs, Connecticut
- Berne, Alexis Environmental Remote Sensing Laboratory, École Polytechnique Fédérale de Lausanne, Lausanne, Switzerland
- Borga, Marco Department of Land, Environment, Agriculture and Forestry, University of Padua, Padua, Italy
- Boudevillain, Brice Laboratoire d'étude des Transferts en Hydrologie et Environnement, Université Grenoble-Alpes, Grenoble, France
- Buytaert, Wouter Department of Civil and Environmental Engineering, Imperial College, London, United Kingdom
- Chang, Che-Hao National Taipei University of Technology, Taipei, Taiwan
- Delrieu, Guy Laboratoire d'étude des Transferts en Hydrologie et Environnement, CNRS, Grenoble, France
- Hong, Yang School of Civil Engineering and Environmental Sciences, University of Oklahoma, Norman, Oklahoma
- Hsu, Yung Chia Disaster Prevention and Water Environment Research Center, National Chiao Tung University, Hsinchu, Taiwan
- Lavado-Casimiro, Waldo Servicio Nacional de Meteorología e Hidrología, Lima, Peru
- Manz, Bastian Department of Civil and Environmental Engineering, Imperial College, London, United Kingdom
- Moges, Semu School of Civil and Environmental Engineering, Addis Ababa Institute of Technology, Addis Ababa, Ethiopia
- Nikolopoulos, Efthymios I. Department of Land, Environment, Agriculture and Forestry, University of Padua, Padua, Italy
- Sahlu, Dejene School of Civil and Environmental Engineering, Addis Ababa Institute of Technology, Addis Ababa, Ethiopia
- Salerno, Franco Ev-K2-CNR Committee, Bergamo, Italy
- Rodríguez-Sánchez, Juan-Pablo Department of Civil and Environmental Engineering, Universidad de los Andes, Bogotá, Colombia
- Vergara, Humberto J. Department of Environmental Engineering, Universidad El Bosque, Bogotá, Colombia
- Yilmaz, Koray K. Department of Geological Engineering, Middle East Technical University, Ankara, Turkey
- 2016-6-17
Published in:
- Journal of Hydrometeorology. - American Meteorological Society. - 2016, vol. 17, no. 6, p. 1817-1836
English
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.
- Language
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- English
- Open access status
- hybrid
- Identifiers
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- DOI 10.1175/jhm-d-15-0197.1
- ISSN 1525-755X
- Persistent URL
- https://sonar.ch/global/documents/281714
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