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

被引:92
作者
Derin, Yagmur [1 ]
Anagnostou, Emmanouil [1 ]
Berne, Alexis [2 ]
Borga, Marco [3 ]
Boudevillain, Brice [4 ]
Buytaert, Wouter [5 ]
Chang, Che-Hao [6 ]
Chen, Haonan [7 ]
Delrieu, Guy [4 ]
Hsu, Yung Chia [8 ]
Lavado-Casimiro, Waldo [9 ]
Manz, Bastian [5 ]
Moges, Semu [10 ]
Nikolopoulos, Efthymios I. [11 ]
Sahlu, Dejene [12 ]
Salerno, Franco [13 ]
Rodriguez-Sanchez, Juan-Pablo [14 ]
Vergara, Humberto J. [15 ]
Yilmaz, Koray K. [16 ]
机构
[1] Univ Connecticut, Dept Civil & Environm Engn, Storrs, CT 06269 USA
[2] Ecole Polytech Fed Lausanne, Environm Remote Sensing Lab, CH-1015 Lausanne, Switzerland
[3] Univ Padua, Dept Land Environm Agr & Forestry, I-35139 Padua, Italy
[4] Univ Grenoble Alpes Commun, Inst Environm Geosci, F-38000 Grenoble, France
[5] Imperial Coll London, Dept Civil & Environm Engn, London SW7 2AZ, England
[6] Natl Taipei Univ Technol, Dept Civil Engn, Taipei 10608, Taiwan
[7] NOAA, Div Phys Sci, Earth Syst Res Lab, Boulder, CO 80301 USA
[8] Natl Chiao Tung Univ, Disaster Prevent & Water Environm Res Ctr, Hsinchu 30010, Taiwan
[9] Serv Nacl Meteorol & Hidrol, Lima 10032, Peru
[10] Addis Ababa Inst Technol, Sch Civil & Environm Engn, Addis Ababa 1000, Ethiopia
[11] Florida Inst Technol Melbourne, Dept Mech & Civil Engn, Melbourne, FL 32901 USA
[12] Bahir Dar Univ, Inst Disaster Risk Management Food Secur Studies, Bahir Dar 6000, Ethiopia
[13] CNR, Water Res Inst, IRSA CNR, I-38930 Brugherio, Italy
[14] Univ Los Andes, Dept Civil & Environm Engn, Bogota 111711, Colombia
[15] Univ Oklahoma, Cooperat Inst Mesoscale Meteorol Studies, Norman, OK 73019 USA
[16] Middle East Tech Univ, Dept Geol Engn, TR-06531 Ankara, Turkey
关键词
satellite-based precipitation product; complex terrain; validation; RAINFALL PRODUCTS; PASSIVE MICROWAVE; ANALYSIS TMPA; GAUGE; PERFORMANCE; RADAR; GSMAP; RETRIEVALS; ALGORITHM; EVENT;
D O I
10.3390/rs11242936
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
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.
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页数:24
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