抄録
Sensitivity analysis is widely used to quantify uncertainty in complex models. We conduct a systematical sensitive analysis of SEBAL estimated ET to input variables using eFAST method. We find Rn and selection of hot pixels to be mostly sensitive for original SEBAL, suggesting the importance of accurate Rn estimating in SEBAL. Present study is helpful to better understand the uncertainty of land surface processes and guide simplifying remote sensing algorithm in regional ET estimation.