The North China Plain (NCP), with an area of ~140,000 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.

File naming and required software

File name: evapotranspiration data is stored in NC file format, and the name of the file is "2008-2019_et.nc". The size of the data sequence is 740x601x4383, corresponding to longitude, latitude, and time, respectively.
Data reading method: the NC files in the data set can be read directly with MATLAB.

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Cite as:

Zhang, C., Long, D. (2022). Spatiotemporally continuous evapotranspiration data set across the North China Plain during 2008‒2019 using TSEB and data fusion (2008-2019). A Big Earth Data Platform for Three Poles, DOI: 10.1016/j.rse.2021.112519. (Download the reference： RIS | Bibtex )

Related Literatures:

1. Zhang, C., Long, D., Zhang, Y., Anderson, M.C., Kustas, W.P., & Yang, Y. (2021). A decadal (2008–2017) daily evapotranspiration data set of 1 km spatial resolution and spatial completeness across the North China Plain using TSEB and data fusion. Remote Sensing of Environment, 262, 112519( View Details | Bibtex)

2. Zhang, C., Long, D., Yan, L., & Bai, L. (2021). Spatiotemporally continuous evapotranspiration data set across the North China Plain during 2008‒2019 using TSEB and data fusion. PANGAEA, https://doi.org/10.1594/PANGAEA.926333( View Details | Bibtex)

Using this data, the data citation is required to be referenced and the related literatures are suggested to be cited.

Support Program

National Natural Science Foundation of China (52079065) (No:52079065)

National Key Research and Development Program of China (grant no. 2017YFC0405801)

The Major Science and Technology Projects of Inner Mongolia Autonomous Region (No:2020ZD0009)

National Natural Science Foundation of China (51722903) (No:51722903)

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License： This work is licensed under an Attribution 4.0 International (CC BY 4.0)