The North China Plain (NCP), with an area of ~170,000 square kilometers, is among the most important agricultural producing bases in China. In addition to canal irrigation with surface water from the Yellow River, the NCP also needs much groundwater for intensive irrigation. Spatiotemporally continuous and daily evapotranspiration (ET) estimates of high spatial resolution could be valuable for improving our understanding of agricultural water consumption across the NCP, and also for improving water use efficiency for better agricultural water resource management practices over similar regions globally. This ET data set at 1 km spatial resolution and daily timescale across the NCP from Jan 2008 to Dec 2019 was generated using two source energy balance model (TSEB) and data fusion. The accuracy is generally comparable and even higher than published results, with our ET data set featuring spatiotemporal continuity and high spatial resolution for a decade. Furthermore, this data set and associated approaches are valuable for performing daily, monthly, seasonal, interannual, and trend analyses of ET in the NCP and similar regions globally.

Before download and apply the dataset, please read this text carefully.-----------------------------land surface variable------------------------------------------The dataset covers the North China Plain (N35.02° ‒ 40.41°, E113.18° ‒ 119.82°).The total number of grid cell is 444740.The dataset includes daily evapotranspiration (ET) from January 2008 to December 2019, which was estimated using two source energy balance model (TSEB) and data fusion approach. The spatial resolution is approximately 1km).-----------------------------storage space------------------------------------------The dataset includes 1 NetCDF file.Total storage space with NetCDF format is about 7.61 GB.Thus, this NetCDF file was compressed with zip format to reduce the storage space.Total storage space with zip format is about 2.08 GB.------------------------------References--------------------------------------------------The data provider would contact the staff and recommend published article as the reference in the future.