Multiregional Satellite Precipitation Products Evaluation over Complex Terrain
Autor: | Yagmur Derin, Guy Delrieu, Che-Hao Chang, Yung Chia Hsu, Efthymios I. Nikolopoulos, Koray K. Yilmaz, Franco Salerno, Brice Boudevillain, Wouter Buytaert, Humberto Vergara, Dejene Sahlu, Bastian Manz, Emmanouil N. Anagnostou, Alexis Berne, Semu Ayalew Moges, Juan-Pablo Rodriguez-Sanchez, Waldo Lavado-Casimiro, Marco Borga, Yang Hong |
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Přispěvatelé: | Ecole Polytechnique Fédérale de Lausanne (EPFL), Universita degli Studi di Padova, Laboratoire d'étude des transferts en hydrologie et environnement (LTHE), Centre National de la Recherche Scientifique (CNRS)-Institut polytechnique de Grenoble - Grenoble Institute of Technology (Grenoble INP )-Observatoire des Sciences de l'Univers de Grenoble (OSUG ), Institut polytechnique de Grenoble - Grenoble Institute of Technology (Grenoble INP )-Institut national des sciences de l'Univers (INSU - CNRS)-Institut national de recherche en sciences et technologies pour l'environnement et l'agriculture (IRSTEA)-Université Savoie Mont Blanc (USMB [Université de Savoie] [Université de Chambéry])-Centre National de la Recherche Scientifique (CNRS)-Université Grenoble Alpes [2016-2019] (UGA [2016-2019])-Institut national des sciences de l'Univers (INSU - CNRS)-Institut national de recherche en sciences et technologies pour l'environnement et l'agriculture (IRSTEA)-Université Savoie Mont Blanc (USMB [Université de Savoie] [Université de Chambéry])-Centre National de la Recherche Scientifique (CNRS)-Université Grenoble Alpes [2016-2019] (UGA [2016-2019]), Department of Hydraulic Engineering, Tsinghua University [Beijing] (THU), Centre National de la Recherche Scientifique (CNRS)-Institut National Polytechnique de Grenoble (INPG)-Institut national des sciences de l'Univers (INSU - CNRS)-Université Joseph Fourier - Grenoble 1 (UJF)-Observatoire des Sciences de l'Univers de Grenoble (OSUG), Université Savoie Mont Blanc (USMB [Université de Savoie] [Université de Chambéry])-Institut polytechnique de Grenoble - Grenoble Institute of Technology (Grenoble INP)-Institut national de recherche en sciences et technologies pour l'environnement et l'agriculture (IRSTEA)-Université Joseph Fourier - Grenoble 1 (UJF)-Institut national des sciences de l'Univers (INSU - CNRS)-Centre National de la Recherche Scientifique (CNRS)-Université Grenoble Alpes (UGA)-Université Savoie Mont Blanc (USMB [Université de Savoie] [Université de Chambéry])-Institut polytechnique de Grenoble - Grenoble Institute of Technology (Grenoble INP)-Institut national de recherche en sciences et technologies pour l'environnement et l'agriculture (IRSTEA)-Centre National de la Recherche Scientifique (CNRS)-Université Grenoble Alpes (UGA), Tsinghua University [Beijing], Centre National de la Recherche Scientifique (CNRS)-Institut National Polytechnique de Grenoble (INPG)-Institut national des sciences de l'Univers (INSU - CNRS)-Université Joseph Fourier - Grenoble 1 (UJF)-Observatoire des Sciences de l'Univers de Grenoble [1985-2015] (OSUG [1985-2015]), Université Joseph Fourier - Grenoble 1 (UJF)-Institut polytechnique de Grenoble - Grenoble Institute of Technology [2007-2019] (Grenoble INP [2007-2019])-Institut national des sciences de l'Univers (INSU - CNRS)-Institut national de recherche en sciences et technologies pour l'environnement et l'agriculture (IRSTEA)-Université Savoie Mont Blanc (USMB [Université de Savoie] [Université de Chambéry])-Centre National de la Recherche Scientifique (CNRS)-Institut polytechnique de Grenoble - Grenoble Institute of Technology [2007-2019] (Grenoble INP [2007-2019])-Institut national de recherche en sciences et technologies pour l'environnement et l'agriculture (IRSTEA)-Université Savoie Mont Blanc (USMB [Université de Savoie] [Université de Chambéry])-Centre National de la Recherche Scientifique (CNRS), Imperial College London, British Council (UK) |
Rok vydání: | 2016 |
Předmět: |
Wet season
Atmospheric Science 010504 meteorology & atmospheric sciences 0208 environmental biotechnology Weather forecasting purl.org/pe-repo/ocde/ford#1.05.10 [https] Terrain 02 engineering and technology [SDU.STU.ME]Sciences of the Universe [physics]/Earth Sciences/Meteorology computer.software_genre 01 natural sciences Precipitación Lluvia [SDU.STU.PL]Sciences of the Universe [physics]/Earth Sciences/Planetology Dry season Satélite meteorológico Meteorology & Atmospheric Sciences Precipitation Cartografía Hidrometeorología [SDU.ENVI]Sciences of the Universe [physics]/Continental interfaces environment ComputingMilieux_MISCELLANEOUS 0105 earth and related environmental sciences Rain gauge Tropics 15. Life on land 020801 environmental engineering Climatología [SDU]Sciences of the Universe [physics] 13. Climate action Climatology Environmental science Control meteorológico Satellite 0401 Atmospheric Sciences Satélite computer |
Zdroj: | Journal of Hydrometeorology Journal of Hydrometeorology, American Meteorological Society, 2016, 17 (6), pp.1817-1836. ⟨10.1175/JHM-D-15-0197.1⟩ Repositorio U. El Bosque Universidad El Bosque instacron:Universidad El Bosque Repositorio Institucional -SENAMHI Servicio Nacional de Meteorología e Hidrología del Perú SENAMHI-Institucional instacron:SENAMHI |
ISSN: | 1525-7541 1525-755X |
Popis: | 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. |
Databáze: | OpenAIRE |
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