Elaboration of Processing Chains for Spatio-temporal Analysis of Rainfall Data Application: Alaotra Mangoro Region, Madagascar
Abstract
This present study was carried out within the framework of the automation of the processing chains of spatio-temporal data processing of climatological data in Madagascar. Our objective is to develop and automate the processing chains of rainfall data from ERA-Interim re-analyses of the European Meteorological Centre ECMWF to observe and analyze the evolution of precipitation over time and space. The chains are elaborated in a generic way by introducing statistical methods such as spatial interpolation, calculation of temporal and spatial averages, maximum entropy method, and principal component analysis. Then, the elaborated chains are implemented with MATLAB. Thus, the test of these chains has been performed in the Alaotra Mangoro region. The results obtained allowed us to observe, analyze and interpret the evolution of precipitation in this region of Madagascar during 35 years (1979 to 2013).
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