1-km monthly minimum temperature dataset for China (1901-2021)

1-km monthly minimum temperature dataset for China (1901-2021)

This data is the lowest monthly temperature data of China, with a spatial resolution of 0.0083333 ° (about 1km) and a time of 1901.1-2021.12. The data format is NETCDF, i.e.. Nc format. The unit of data is 0.1 ℃. This dataset is generated in China through the Delta spatial downscaling scheme based on the global 0.5 ° climate dataset released by CRU and the global high-resolution climate dataset released by WorldClim. In addition, 496 independent meteorological observation point data are used for verification, and the verification results are reliable. This data set covers the main land areas in China (including Hong Kong, Macao and Taiwan), excluding islands and reefs in the South China Sea. WGS84 is recommended for data coordinate system.

File naming and required software

The dataset belongs to network Common Data Form (NETCDF). It can be processed in the MATLAB, ArcMap, and other softwares supporting the NETCDF.

Data Citations Data citation guideline What's data citation?
Cite as:

Peng, S. (2020). 1-km monthly minimum temperature dataset for China (1901-2021). National Tibetan Plateau Data Center, DOI: 10.5281/zenodo.3114194. (Download the reference: RIS | Bibtex )

Related Literatures:

1. Peng, S.Z., Ding, Y.X., Wen, Z.M., Chen, Y.M., Cao, Y., & Ren, J.Y. (2017). Spatiotemporal change and trend analysis of potential evapotranspiration over the Loess Plateau of China during 2011-2100. Agricultural and Forest Meteorology, 233, 183-194. https://doi.org/10.1016/j.agrformet.2016.11.129( View Details | Bibtex)

2. Ding, Y.X., & Peng, S.Z. (2020). Spatiotemporal trends and attribution of drought across China from 1901–2100. Sustainability, 12(2), 477.( View Details | Bibtex)

3. Peng, S.Z., Ding, Y.X., Liu, W.Z., & Li, Z. (2019). 1 km monthly temperature and precipitation dataset for China from 1901 to 2017. Earth System Science Data, 11, 1931–1946. https://doi.org/10.5194/essd-11-1931-2019( View Details | Bibtex)

4. Peng, S. , Gang, C. , Cao, Y. , & Chen, Y. . (2017). Assessment of climate change trends over the loess plateau in china from 1901 to 2100. International Journal of Climatology.( View Details | Bibtex)

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

Support Program

Second Tibetan Plateau Scientific Expedition Program

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)

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Geographic coverage
East: 136.20 West: 72.20
South: 16.25 North: 55.56
  • Temporal resolution: Monthly
  • Spatial resolution: 1km - 10km
  • File size: 96,972 MB
  • Views: 13,734
  • Downloads: 1,051
  • Access: Open Access
  • Updated time: 2022-10-08
: PENG Shouzhang  

Distributor: National Tibetan Plateau Data Center

Email: data@itpcas.ac.cn

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