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Open AccessArticle

High-Resolution Precipitation Datasets in South America and West Africa based on Satellite-Derived Rainfall, Enhanced Vegetation Index and Digital Elevation Model

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Institute for Environment and Sustainability, DG Joint Research Centre, European Commission, Ispra 21027, Italy
2
Facultad de Ingeniería Ambiental, Universidad Santo Tomás, Bogota 5878797, Colombia
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Author to whom correspondence should be addressed.
Academic Editors: Richard Gloaguen and Prasad S. Thenkabail
Remote Sens. 2015, 7(5), 6454-6488; https://doi.org/10.3390/rs70506454
Received: 15 December 2014 / Accepted: 15 May 2015 / Published: 22 May 2015
Mean Annual Precipitation is one of the most important variables used in water resource management. However, quantifying Mean Annual Precipitation at high spatial resolution, needed for advanced hydrological analysis, is challenging in developing countries which often present a sparse gauge network and a highly variable climate. In this work, we present a methodology to quantify Mean Annual Precipitation at 1 km spatial resolution using different precipitation products from satellite estimates and gauge observations at coarse spatial resolution (i.e., ranging from 4 km to 25 km). Examples of this methodology are given for South America and West Africa. We develop a downscaling method that exploits the relationship among satellite-derived rainfall, Digital Elevation Model and Enhanced Vegetation Index. Finally, we validate its performance using rain gauge measurements: comparable annual precipitation estimates for both South America and West Africa are retrieved. Validation indicates that high resolution Mean Annual Precipitation downscaled from CHIRP (Climate Hazards Group Infrared Precipitation) and GPCC (Global Precipitation Climatology Centre) datasets present the best ensemble of performance statistics for both South America and West Africa. Results also highlight the potential of the presented technique to downscale satellite-derived rainfall worldwide. View Full-Text
Keywords: satellite-derived precipitation; downscaling; EVI; DEM; geographically weighted regression; developing countries; South America; West Africa; mean annual precipitation satellite-derived precipitation; downscaling; EVI; DEM; geographically weighted regression; developing countries; South America; West Africa; mean annual precipitation
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Ceccherini, G.; Ameztoy, I.; Hernández, C.P.R.; Moreno, C.C. High-Resolution Precipitation Datasets in South America and West Africa based on Satellite-Derived Rainfall, Enhanced Vegetation Index and Digital Elevation Model. Remote Sens. 2015, 7, 6454-6488.

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