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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Yang, K., He, J., Wenjun, T., Lu, H., Qin, J., Chen, Y., Li, X. (2019). China meteorological forcing dataset (1979-2018). A Big Earth Data Platform for Three Poles, DOI: 10.11888/AtmosphericPhysics.tpe.249369.file. CSTR: 18406.11.AtmosphericPhysics.tpe.249369.file. (Download the reference： RIS | Bibtex )

Related Literatures:

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)

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

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To respect the intellectual property rights, protect the rights of data authors, expand services 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the data in the research results generated by using the data (including published papers, articles, data products, and unpublished research reports, data products and other results).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 should also indicate the source of the original data. Project source: National Key Research and Development Program of China. (Grant No. 2017YFA0603703 and No. 2018YFA0605400) Contact: Kun Yang. Email: yangk@itpcas.ac.cn. Affiliation：Institute of Tibetan Plateau Research, Chinese Academy of Sciences

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