Data for a novel integrated method based on a machine learning model for estimating evapotranspiration in dryland

Published: 3 September 2021| Version 1 | DOI: 10.17632/p5hzgfxrfy.1
Contributors:
Tonglin Fu,
Xinrong Li,
Rongliang Jia,
Li Feng

Description

This data repository contains the data for research article, namely, “A novel integrated method based on a machine learning model for estimating evapotranspiration in dryland”, which will be (or have already been) published in the Journal of Hydrology. The evapotranspiration data sets (the monthly evapotranspiration series (01/1991-12/2018) were collected form the Shapotou Desert Research and Experiment Station of the Chinese Academy of Sciencesr, China) used to build the proposed model. The data that support the findings of this study are presented.

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