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Resumo(s)
This study aims at assessing the accuracy of estimating daily reference evapotranspiration
(ETo) computed with NASA POWER reanalysis products. Daily ETo estimated from local observations
of weather variables in 14 weather stations distributed across Alentejo Region, Southern
Portugal were compared with ETo derived from NASA POWER weather data, using raw and biascorrected
datasets. Three different methods were used to compute ETo: (a) FAO Penman-Monteith
(PM); (b) Hargreaves-Samani (HS); and (c) MaxTET. Results show that, when using raw NASA
POWER datasets, a good accuracy between the observed ETo and reanalysis ETo was observed in
most locations (R2 > 0.70). PM shows a tendency to over-estimating ETo with an RMSE as high
as 1.41 mm d-1, while using a temperature-based ET estimation method, an RMSE lower than
0.92 mm d-1 is obtained. If a local bias correction is adopted, the temperature-based methods show
a small over or underestimation of ETo (–0.40 mm d-1 MBE < 0.40 mm d-1). As for PM, ETo
is still underestimated for 13 locations (MBE < 0 mm d-1) but with an RMSE never higher than
0.77 mm d-1. When NASA POWER raw data is used to estimate ETo, HS_Rs proved the most
accurate method, providing the lowest RMSE for half the locations. However, if a data regional bias
correction is used, PM leads to the most accurate ETo estimation for half the locations; also, when a
local bias correction is performed, PM proved the be the most accurate ETo estimation method for
most locations. Nonetheless, MaxTET proved to be an accurate method; its simplicity may prove to
be successful not only when only maximum temperature data is available but also due to the low
data required for ETo estimation
Descrição
Palavras-chave
reference evapotranspiration NASA POWER reanalysis dataset hot summer Mediterranean climate bias correction
Contexto Educativo
Citação
Rodrigues, G.C.; Braga, R.P. Estimation of Daily Reference Evapotranspiration from NASA POWER Reanalysis Products in a Hot Summer Mediterranean Climate. Agronomy 2021, 11, 2077
Editora
MDPI
