(1) Data content: Millennial temperature (near-surface air temperature anomaly based on the millinnial mean）datasets over the three poles, e.g., Arctic, Antarctic, and Qinghai-Tibet Plateau; (2) Data sources and processing methods: These datasets were produced by the authors themselves using the paleoclimate data assimilationand approach based on climatic proxies over the three poles; (3) Description of data quality: There are high spatio-temporal consistency between these datasets and several instrumental gridded temperature datasets (correlation coefficient above 0.6, p <0.001; Nash efficiency coefficient above 0.5). In addition, the correlations between these datasets and several proxy-based temperature series are between 0.4 and 0.8 (p <0.001). (4) Data application achievements and prospects: These datasets can be used to investigate the temporal and spatial variations in temperature over the three poles during the past millennium.

File naming and required software

These datasets are stored in netCDF format. The data file are named as follows: Production method _ geographical name _ variable type _ Start year _ End year. Nc
The names of the three files are PDA_Arctic_SAT_1000_2000.nc; PDA_Antarctic_SAT_1000_2000.nc; PDA_QTP_SAT_1000_2000.nc
These datasets can be opened and used by tools such as Panoply, NCL, and Matlab.

Data Citations Data citation guideline What's data citation?

Cite as:

Fang, M. (2022). Millennial temperature datasets over the three poles produced by paleoclimate data assimilation. A Big Earth Data Platform for Three Poles, DOI: 10.11888/Paleoenv.tpdc.272773. CSTR: 18406.11.Paleoenv.tpdc.272773. (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.

References literature

1.Fang, M., Zheng, J. Y., Wang, J. L., Zhu, H. F., & Zhang, X. Z. (2022). Assimilating an expanded tree ring dataset to reconstruct the millennial air temperature fields for the Northern Hemisphere. International Journal of Climatology, 42(10), 5218-5231. (View Details )

2.Fang, M., Li, X., Chen, H. W., & Chen, D. L. (2022). Arctic amplification modulated by Atlantic Multidecadal Oscillation and greenhouse forcing on multidecadal to century scales. Nature Communications, 13, 1865, https://doi.org/10.1038/s41467-022-29523-x. (View Details )

Support Program

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

Copyright & License

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