A dataset of evapotranspiration estimated by the nonparametric approach on irrigated farmland in the North China Plain

Evapotranspiration (ET), generated by the evaporation of water from a natural surface into the atmosphere, is an important component of the water cycle and surface energy balance system, which is a fundamental information for agriculture, water resource management, and climate change research. In recent decades, the estimation of ET or latent energy (LE, which is the amount of heat required for ET) has remained one of the most challenging problems for researchers. A nonparametric approach for estimating ET may avoid the complex parameterization process and reduce the calculation uncertainties; therefore, it has broad application prospects. This dataset was used to estimate 30 min and daily scales of evapotranspiration at three sites (Luancheng Agroecosystem Experiment Station of Chinese Academy of Sciences, Yucheng Comprehensive Experiment Station of Chinese Academy of Sciences, and Tantao Experiment Station of Beijing Normal University) in North China irrigated farmland, using a non-parametric approach.