Random forest predictive model development with uncertainty analysis capability for the estimation of evapotranspiration in an arid oasis region
Abstract The study evaluates the potential utility of the random forest (RF) predictive model used to simulate daily reference evapotranspiration (ET0) in two stations located in the arid oasis area of northwestern China. To construct an accurate RF-based predictive model, ET0 is estimated by an app...
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Published in | Hydrology Research Vol. 51; no. 4; pp. 648 - 665 |
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Main Authors | , , , , , , |
Format | Journal Article |
Language | English |
Published |
London
IWA Publishing
01.08.2020
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Subjects | |
Online Access | Get full text |
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