PML_V2 global evapotranspiration and gross primary production (2002.07-2019.08)-National Tibetan Plateau Data Center

PML_V2 terrestrial evapotranspiration and total primary productivity dataset, including gross primary product (GPP), vegetation transpiration (Ec), soil evaporation (Es), vaporization of intercepted rainfall , Ei) and water body, ice and snow evaporation (ET_water), a total of 5 elements. The data format is tiff, the space-time resolution is 8 days, 0.05°, and the time span is 2002.07-2019.08.

Based on the Penman-Monteith-Leuning (PML) model, PML_V2 is coupled to the GPP process based on stomatal conductance theory. GPP and ET mutually restrict and restrict each other, which makes PML_V2 in ET simulation accuracy, which is greatly improved compared with the previous model. The parameters of PML_V2 are divided into different vegetation types and are determined on 95 vorticity-related flux stations around the world. The parameters were then migrated globally according to the MODIS MCD12Q2.006 IGBP classification. PML_V2 uses GLDAS 2.1 meteorological drive and MODIS leaf area index (LAI), reflectivity (Albedo), emissivity (Emissivity) as inputs, and finally obtains PML_V2 terrestrial evapotranspiration and total primary productivity data sets.

Data file naming and use method

The data is stored in TIFF format. The file name is "yyyy mm dd.tif", such as 2002-07-04.tif, which corresponds to GPP and ET in the 8 days from 2002-07-04 to 2002-07-11.

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Cite as:

ZHANG Yongqiang. PML_V2 global evapotranspiration and gross primary production (2002.07-2019.08). National Tibetan Plateau Data Center, 2020. doi: 10.11888/Geogra.tpdc.270251. (Download the reference： RIS | Bibtex )

Related Literatures:

1. 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)

2. 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. Scientific Reports. 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.

User Limit

To respect the intellectual property rights, protect the rights of data authors,expand servglacials of the data center, and evaluate the application potential of data, data users should clearly indicate the source of the data and the author of the data in the research results generated by using the data (including published papers, articles, data products, and unpublished research reports, data products and other results). For re-posting (second or multiple releases) data, the author must also indicate the source of the original data.

Example of acknowledgement statement is included below: The data set is provided by National Tibetan Plateau Data Center (http://data.tpdc.ac.cn).

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