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

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.

本数据集仓库收录了对应研究论文的配套数据，该论文题为《基于机器学习模型的旱地蒸散发（evapotranspiration）估算新型集成方法》，即将发表或已正式发表于《Journal of Hydrology》（《水文学报》）。用于构建所提模型的蒸散发数据集，其1991年1月至2018年12月的月蒸散发序列采集自中国科学院沙坡头沙漠研究试验站。本数据集提供了支撑本研究结论的全部相关数据。