Evaluation of evapotranspiration products available from Climate Engine and the Support Vector Machine Regression model with NASA Power data
DOI:
https://doi.org/10.59069/24225703e005Keywords:
artificial intelligence , reanalysis products , satellite productsAbstract
The hydrological country management depends, on the knowledge of the existing basins, their potential and to adequately manage water surpluses. In this sense, the study and analysis of reference (ET0), actual and potential (ETp) evapotranspiration (ET) is to vital importance. Therefore, it is essential to evaluate the behavior of the different ET products that are freely available for use. Therefore, the main work objective is to analyze the data of the existing models in the Climate Engine platform (TerraClimate, ERA 5, MERRA-2 and MOD16A2), which has data at different temporal and spatial scales. In addition, to evaluate the artificial intelligence Support Vector Machine Regression (SVR) algorithm, determined with parameters obtained from NASA Power, with local data in the Argentinean Pampean region (APR). In general, errors between 0.5 and 1.2 mm d-1 and Nash-Sutcliffe Efficiency Index (NSE) values between 0.6 and 0.9 (ET0); between 0.4 and 0.7 for actual ET and between 0.6 and 0.9 for ETp were obtained. Likewise, it is demonstrated that the most favorable model for the calculation of ET0 as real ET is SVR, while for ETp it is ERA 5.
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