China meteorological forcing dataset (1979-2018)-National Tibetan Plateau Data Center

The China Meteorological Forcing Dataset (CMFD) is a high spatial-temporal resolution gridded near-surface meteorological dataset that was developed specifically for studies of land surface processes in China. The dataset was made through fusion of remote sensing products, reanalysis dataset and in-situ observation data at weather stations. Its record starts from January 1979 and keeps extending (currently up to December 2018) with a temporal resolution of three hours and a spatial resolution of 0.1°. Seven near-surface meteorological elements are provided in CMFD, including 2-meter air temperature, surface pressure, specific humidity, 10-meter wind speed, downward shortwave radiation, downward longwave radiation and precipitation rate.

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Citations

1. He, J., Yang, K., Tang, W. Lu, H., Qin, J., Chen, Y.Y., Li, X. (2020). The first high-resolution meteorological forcing dataset for land process studies over China. Scientific Data, 7, 25, https://doi.org/10.1038/s41597-020-0369-y.( View Details | Bibtex)

2. Yang, K., He, J.,Tang, W.J., Qin, J., Cheng, C.C.K. (2010). On downward shortwave and longwave radiations over high altitude regions: Observation and modeling in the Tibetan Plateau. Agricultural and Forest Meteorology, 150(1), 38-46.( View Details | Bibtex)

Cite the data

YANG Kun, HE Jie. China meteorological forcing dataset (1979-2018). National Tibetan Plateau Data Center, 2018. doi: 10.11888/ AtmosphericPhysics.tpe.249369.file. (Download the reference： RIS | Bibtex )

Using this data, you must reference article references listed in the Required Data Citation and reference data

Support Program

Pan-Third Pole Environment Study for a Green Silk Road-A CAS Strategic Priority A Program (No:XDA20000000)

User Limit

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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)