Northern Hemispheric annual near-surface temperature during the past millennium

Northern Hemispheric annual near-surface temperature during the past millennium


This is Northern Hemispheric (NH) annual near-surface temperature dataset during the past millennium with a 2° spatial resolution, which is produced using the paleoclimate data assimilation approach with EnSRF method, MPI-ESM-P model and 396 multi-proxies from the PAGES2k Consoritum. This dataset agrees well with several observational temperature datasets during the instrumental period, and has a similar level of reliability as the Twentieth Century Reanalysis which assimilates surface pressure observations. In addition, the dataset shows a high level of agreement with previous proxy-based reconstructions (average correlation of annual mean NH temperatures is r = 0.61). The dataset can be used to study the temperature variability over the NH and some regions of the NH during the past millennium (1000-2000 AD).


File naming and required software

This dataset is saved with format of netCDF, which is the common format in the field of meterology. The file is named with "variable name_variable type_wrt_anomaly period_temporal resolution_spatial resolution_producing method_start time_end time_multiProxy.nc"
This dataset can be opened and read by Panoply, Matlab, NCL, ArcGIS, etc.


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

Fang, M., Li, X., Chen, H., Chen, D. (2021). Northern Hemispheric annual near-surface temperature during the past millennium. A Big Earth Data Platform for Three Poles, DOI: 10.11888/Paleoenv.tpdc.271106. CSTR: 18406.11.Paleoenv.tpdc.271106. (Download the reference: RIS | Bibtex )

Related Literatures:

1. 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 | 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)


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Keywords
Geographic coverage
East: 180.00 West: 180.00
South: 0.00 North: 90.00
Details
  • Temporal resolution: Yearly
  • Spatial resolution: 1º-10º
  • File size: 127 MB
  • Views: 3358
  • Downloads: 485
  • Access: Open Access
  • Temporal coverage: 1000-01-01 To 2000-12-31
  • Updated time: 2022-04-11
Contacts
: FANG Miao   LI Xin   CHEN Hans    CHEN Deliang  

Distributor: A Big Earth Data Platform for Three Poles

Email: poles@itpcas.ac.cn

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