Modelling evapotranspiration using the modified Penman-Monteith equation and MODIS data over the Albany Thicket in South Africa [PDF]
Gibson, Lesley +3 more
core +1 more source
Comparative assessment of empirical and hybrid machine learning models for estimating daily reference evapotranspiration in sub-humid and semi-arid climates. [PDF]
Acharki S +9 more
europepmc +1 more source
Estimation of daily reference evapotranspiration by hybrid singular spectrum analysis-based stochastic gradient boosting. [PDF]
Başakın EE +3 more
europepmc +1 more source
Maximizing multi-source data integration and minimizing the parameters for greenhouse tomato crop water requirement prediction. [PDF]
Lv X +6 more
europepmc +1 more source
Warming accelerates global drought severity. [PDF]
Gebrechorkos SH +10 more
europepmc +1 more source
Ensemble of CMIP6 derived reference and potential evapotranspiration with radiative and advective components. [PDF]
Bjarke N, Barsugli J, Livneh B.
europepmc +1 more source
Physically-constrained evapotranspiration models with machine learning parameterization outperform pure machine learning: Critical role of domain knowledge. [PDF]
Kim Y +3 more
europepmc +1 more source
Comparison of the performances of six empirical mass transfer-based reference evapotranspiration estimation models in semi-arid conditions. [PDF]
Usta S.
europepmc +1 more source
Desempenho do método de Penman-Monteith FAO 56 na estimativa da evapotranspiração de referencia usando dados de temperatura do ar no Semiárido. [PDF]
DINIZ, W. J. da S. +6 more
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