Regional multimodal fusion of surface soil moisture data in China (1850-2100)-National Tibetan Plateau Data Center

Monthly data of 7cm soil moisture in the surface layer of China. The time range includes the historical period 1850-2014 and the future period 2015-2100 (the future period includes four different shared socio-economic paths: ssp1-2.6, ssp2-4.5, ssp3-7.0 and ssp5-8.5). The spatial resolution is 0.25 °.

This data is based on the deep learning method, taking the 7cm surface soil moisture data of era5 land as a reference, and integrating the surface soil moisture data of 25 scaled down cmip6 models. In the context of climate change, data can be used for drought and vegetation correlation analysis.

File naming and required software

File name: the surface soil moisture data is stored in NetCDF format. The name of the file is "ssm_mon_sspxxx_yyyy-yyyy.nc", where XXX represents different shared socio-economic paths (except historical period), and yyyy-yyyy represents the time range.

Data Citations Data citation guideline What's data citation?

Cite as:

Feng, D. (2022). Regional multimodal fusion of surface soil moisture data in China (1850-2100). National Tibetan Plateau Data Center, DOI: 10.11888/Terre.tpdc.272699. CSTR: 18406.11.Terre.tpdc.272699. (Download the reference： RIS | Bibtex )

Related Literatures:

1. Feng, D.H., Wang, G.J., Wei, X.K., Amankwah, S.O.Y., Hu, Y.F., Luo, Z.C., Hagan, D.F.T., & Ullah, W. (2022). Merging and Downscaling Soil Moisture Data From CMIP6 Projections Using Deep Learning Method. Frontiers in Environmental Science, 10.( View Details | Bibtex)

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

Copyright & License

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the data in the research results generated by using the data (including published papers, articles, data products, and unpublished research reports, data products and other results).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)