Evaluation of the Performance of Three Satellite Precipitation Products over Africa
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作者:
Serrat-Capdevila, Aleix
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World Bank, Water Global Practice, Washington, DC 20009 USA
Univ Arizona, Dept Hydrol & Atmospher Sci, Tucson, AZ 85721 USAWorld Bank, Water Global Practice, Washington, DC 20009 USA
Serrat-Capdevila, Aleix
[1
,2
]
Merino, Manuel
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机构:
Montgomery & Associates Ltd, Santiago 7550120, ChileWorld Bank, Water Global Practice, Washington, DC 20009 USA
Merino, Manuel
[3
]
Valdes, Juan B.
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Univ Arizona, Dept Hydrol & Atmospher Sci, Tucson, AZ 85721 USAWorld Bank, Water Global Practice, Washington, DC 20009 USA
Valdes, Juan B.
[2
]
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机构:
Durcik, Matej
[4
]
机构:
[1] World Bank, Water Global Practice, Washington, DC 20009 USA
[2] Univ Arizona, Dept Hydrol & Atmospher Sci, Tucson, AZ 85721 USA
[3] Montgomery & Associates Ltd, Santiago 7550120, Chile
[4] Univ Arizona, Biosphere 2, Tucson, AZ 85721 USA
We present an evaluation of daily estimates from three near real-time quasi-global Satellite Precipitation Products-Tropical Rainfall Measuring Mission (TRMM) Multi-satellite Precipitation Analysis (TMPA), Precipitation Estimation from Remotely Sensed Information using Artificial Neural Networks (PERSIANN), and Climate Prediction Center (CPC) Morphing Technique (CMORPH)-over the African continent, using the Global Precipitation Climatology Project one Degree Day (GPCP-1dd) as a reference dataset for years 2001 to 2013. Different types of errors are characterized for each season as a function of spatial classifications (latitudinal bands, climatic zones and topography) and in relationship with the main rain-producing mechanisms in the continent: the Intertropical Convergence Zone (ITCZ) and the East African Monsoon. A bias correction of the satellite estimates is applied using a probability density function (pdf) matching approach, with a bias analysis as a function of rain intensity, season and latitude. The effects of bias correction on different error terms are analyzed, showing an almost elimination of the mean and variance terms in most of the cases. While raw estimates of TMPA show higher efficiency, all products have similar efficiencies after bias correction. PERSIANN consistently shows the smallest median errors when it correctly detects precipitation events. The areas with smallest relative errors and other performance measures follow the position of the ITCZ oscillating seasonally over the equator, illustrating the close relationship between satellite estimates and rainfall regime.
机构:
Beijing Normal Univ, Coll Water Sci, Beijing 100875, Peoples R China
Beijing Key Lab Urban Hydrol Cycle & Sponge City, Beijing 100875, Peoples R ChinaBeijing Normal Univ, Coll Water Sci, Beijing 100875, Peoples R China
Li, Yu
Pang, Bo
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机构:
Beijing Normal Univ, Coll Water Sci, Beijing 100875, Peoples R China
Beijing Key Lab Urban Hydrol Cycle & Sponge City, Beijing 100875, Peoples R ChinaBeijing Normal Univ, Coll Water Sci, Beijing 100875, Peoples R China
Pang, Bo
Ren, Meifang
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机构:
China Acad Urban Planning & Design, Beijing 100037, Peoples R ChinaBeijing Normal Univ, Coll Water Sci, Beijing 100875, Peoples R China
Ren, Meifang
Shi, Shulan
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机构:
Beijing Normal Univ, Coll Water Sci, Beijing 100875, Peoples R China
Beijing Key Lab Urban Hydrol Cycle & Sponge City, Beijing 100875, Peoples R ChinaBeijing Normal Univ, Coll Water Sci, Beijing 100875, Peoples R China
Shi, Shulan
Peng, Dingzhi
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机构:
Beijing Normal Univ, Coll Water Sci, Beijing 100875, Peoples R China
Beijing Key Lab Urban Hydrol Cycle & Sponge City, Beijing 100875, Peoples R ChinaBeijing Normal Univ, Coll Water Sci, Beijing 100875, Peoples R China
Peng, Dingzhi
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Zhu, Zhongfan
Zuo, Depeng
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机构:
Beijing Normal Univ, Coll Water Sci, Beijing 100875, Peoples R China
Beijing Key Lab Urban Hydrol Cycle & Sponge City, Beijing 100875, Peoples R ChinaBeijing Normal Univ, Coll Water Sci, Beijing 100875, Peoples R China
机构:
Beijing Normal Univ, Fac Geog Sci, State Key Lab Earth Surface Proc & Resource Ecol, Beijing 100875, Peoples R ChinaBeijing Normal Univ, Fac Geog Sci, State Key Lab Earth Surface Proc & Resource Ecol, Beijing 100875, Peoples R China
Di, Zhenhua
Qin, Peihua
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机构:
Chinese Acad Sci, Inst Atmospher Phys, State Key Lab Numer Modeling Atmospher Sci & Geoph, Beijing 100029, Peoples R ChinaBeijing Normal Univ, Fac Geog Sci, State Key Lab Earth Surface Proc & Resource Ecol, Beijing 100875, Peoples R China
Qin, Peihua
Zhang, Shenglei
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机构:
Chinese Acad Sci, Aerosp Informat Res Inst, State Key Lab Remote Sensing Sci, Beijing 100101, Peoples R ChinaBeijing Normal Univ, Fac Geog Sci, State Key Lab Earth Surface Proc & Resource Ecol, Beijing 100875, Peoples R China
Zhang, Shenglei
Ma, Qian
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机构:
Beijing Normal Univ, Coll Global Change & Earth Syst Sci, Beijing 100875, Peoples R ChinaBeijing Normal Univ, Fac Geog Sci, State Key Lab Earth Surface Proc & Resource Ecol, Beijing 100875, Peoples R China