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R-SSEB: Simplified Modeling for Energy Balance Estimation to the Regional Scale Surface

Abstract

This study presents a simplified methodology and adjusted from existing algorithms of orbital sensor data available for the Northeast region of Brazil (NEB) in order to operationalize the spatial determination of evapotranspiration (ET) only with remote sensing data, using Terra/MODIS data from 2002 to 2011. The results for various targets around the NEB were compared with CLM (Common Land Model) and MOD16 data. Was obtained average percentage error (MPE) and mean absolute error (MAE) of 23,6% and 181 mm.year−1, respectively, when compared to CLM data. It was evaluated the ET obtained by the proposed algorithm with MOD16 ET data, resulting in EMP and EMA of 38,6% and 288 mm.year−1, respectively. The average annual data from ET ranged 482-1105 mm.year−1 relating to areas of Caatinga and tropical rainforest, respectively. The results presented are consistent with the literature and showed that the proposed methodology enables operationalize the computation of ET throughout the Northeast, despite the large topographic heterogeneity and climate of the region.

Keywords:
net radiation; MODIS; latent heat flux; sensible heat flux; remote sensing; modeling

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