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PML-V2(China) terrestrial evapotranspiration and total primary productivity dataset, including five elements: gross primary product (GPP), vegetation transpiration (Ec), soil evaporation (Es), vaporization of intercepted rainfall (Ei) and water body, ice and snow evaporation (ET_water). The dataset has a spatial-temporal resolution of daily and 500-meter from Feb.26, 2000 to Dec.31, 2020.

Compared with the global version, the simulation accuracy of the PML-V2(China) product has been greatly improved, which has the following improvements and innovations:

I. Compared with the 8-day temporal resolution of the global version, the new product is daily;

II. The observation data are from 26 eddy flux stations in China, which are with 9 underlying surface types including deserts with sparse vegetation, and used for the parameter calibration of the model (there are only eight stations located in China for calibrating the global PML-V2, covering only five vegetation types);

III. China meteorological forcing dataset for 2000-2018 and the global land surface data assimilation system GLDAS-2.1 meteorological dataset with bias correction for 2019-2020 are used to replace the original 0.25 ° GLDAS meteorological inputs;

IV. The ERA5-Land as the input surface temperature instead of air temperature to calculate the outgoing longwave radiation; and

V. Taking the MODIS leaf area index by the improved Whittaker filter as the model input, the new product provides new insights into monitoring crop water consumption and reveals the characteristics of the planting system.

Please note that the dataset does not include the South China Sea.

File naming and required software

The data is stored in TIFF format with a file name of “yyyy-mm-dd.tif”. For example, “2000-02-26.tif” represents the value of each variable on February 26th, 2000. Every file has 5 bands corresponding to GPP, Ec, Es, Ei and ET_water, in g C m-2 d-1, mm d-1, mm d-1, mm d-1 and mm d-1, respectively. Note that the value of each variable = the value of each pixel * scale factor, where scale factor is 0.01.

Data Citations Data citation guideline What's data citation?

Zhang, Y., He, S. (2022). PML-V2(China): evapotranspiration and gross primary production dataset(2000.02.26-2020.12.31). A Big Earth Data Platform for Three Poles, DOI: 10.11888/Terre.tpdc.272389. CSTR: 18406.11.Terre.tpdc.272389. (Download the reference： RIS | Bibtex )

1. He, S., Zhang, Y., Ma, N., Tian, J., Kong, D., and Liu, C. A daily and 500 m coupled evapotranspiration and gross primary production product across China during 2000–2020, Earth Syst. Sci. Data., https://doi.org/10.5194/essd-2022-183, 2022.( View Details | Bibtex)

2. Zhang, Y., Kong, D., Gan, R., Chiew, F.H.S., McVicar, T.R., Zhang, Q., & Yang, Y. (2019). Coupled estimation of 500m and 8-day resolution global evapotranspiration and gross primary production in 2002-2017. Remote Sensing Environ. 222, 165-182. https://doi:10.1016/j.rse.2018.12.031( View Details | Bibtex)

3. Zhang, Y., Peña-Arancibia, J.L., McVicar, T.R., Chiew, F.H.S., Vaze, J., Liu, C., Lu, X., Zheng, H., Wang, Y., Liu, Y.Y., Miralles, D.G., Pan, M., 2016. Multi-decadal trends in global terrestrial evapotranspiration and its components. Sci. Rep. 6, 19124. https://doi.org/10.1038/srep19124( View Details | Bibtex)

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

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

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