A collection of Paleoclimatic data for comparison to orbitally-forced climate models, version 2.0

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Title
A collection of Paleoclimatic data for comparison to orbitally-forced climate models, version 2.0
Contributors
Nelson, Arin D. (creator)
Kondo, Kenta (creator)
Clemens, Steven C. (creator)
Fox-Kemper, Baylor (creator)
Prell, Warren (creator)
Doi
10.7301/Z0SQ8XB4
Date Created
2016
Abstract
Pleistocene age surface temperature reconstructions from the geological record were synthesized into one standardized dataset for comparison with model-derived surface temperature estimates using the CCSM3 climate model. Surface temperature is one of the primary variables of interest to climatologists and, fortunately, one of the few that can be quantitatively reconstructed over geological time scales using a number of independent methods. This database is a compilation of published temperature records (land and ocean) that meet three sets of criterion, involving length, temporal resolution, and chronostratigraphic control. Records that meet the criterion (delineated below) are appropriate for robust, quantitative comparison with model-derived surface temperature estimates. The format of the data set is designed for ease of incorporation and manipulation in MATLAB.
Keywords
Paleoclimatology
Paleoceanography
Notes
This research is funded by the National Science Foundation grant numbers 1129408 and 1245944
Access Conditions
This work is licensed under a Creative Commons Attribution 4.0 International License

Citation

Nelson, Arin D., Kondo, Kenta, Clemens, Steven C., et al., "A collection of Paleoclimatic data for comparison to orbitally-forced climate models, version 2.0" (2016). Brown University Open Data Collection. Brown Digital Repository. Brown University Library. https://doi.org/10.7301/Z0SQ8XB4

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  • collection of Paleoclimatic data for comparison to orbitally-forced climate models, version 1.0
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    This digital archive contains publicly available and publicly-funded data sets created and deposited by Brown University researchers. Increasingly, academic societies and publishers and research funders are requiring that data sets, metadata, and code underlying researchers' published results be retained and ...

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