(1) Data content: data set of precipitation field of the three poles (Arctic, Antarctic and Qinghai Tibet Plateau) in the past millennium; (2) Data source and processing method: the data is independently produced by the author and is produced by assimilating the precipitation proxy data in the three polar regions through the paleoclimate data assimilation method; (3) Data quality description: there is a high degree of spatial-temporal consistency between the data set and the precipitation data sets measured by multiple instruments (correlation coefficient is above 0.35, P < 0.001; Nash efficiency coefficient is above 0.3). In addition, the correlation coefficient with multiple precipitation data series reconstructed based on proxy data is between 0.2 and 0.6 (P < 0.001); (4) It can be used to study the temporal and spatial changes of precipitation in the past millennium in the three polar regions.

File naming and required software

The data set is stored in NetCDF format, and the data file is named as variable name_ Time resolution_ Spatial resolution_ Production method_ Geographical name_ Start year:_ End year.nc
The names of the three files are: PR_ Ayr_ 2deg_ PDA_ Arctic_ 1000_ 2000.nc; pr_ Ayr_ 2deg_ PDA_ Antarctic_ 1000_ 2000.nc; pr_ Ayr_ 2deg_ PDA_ Tibetan_ 1000_ 2000.nc
This data can be opened and used by tools such as panoply, NCL, MATLAB, etc.

Data Citations Data citation guideline What's data citation?

Cite as:

Fang, M. (2022). Millennial precipitation datasets over the three poles produced by paleoclimate data assimilation. A Big Earth Data Platform for Three Poles, DOI: 10.11888/Paleoenv.tpdc.272774. CSTR: 18406.11.Paleoenv.tpdc.272774. (Download the reference： RIS | Bibtex )

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

Support Program

CASEarth:Big Earth Data for Three Poles（grant No. XDA19070000） (No:XDA19000000)

Copyright & License

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the data in the research results generated by using the data (including published papers, articles, data products, and unpublished research reports, data products and other results).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 must also indicate the source of the original data.

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