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

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Overview

Year:
2016
Contributor:
Nelson, Arin D. (creator)
Kondo, Kenta (creator)
Clemens, Steven C. (creator)
Fox-Kemper, Baylor (creator)
Prell, Warren (creator)
Subject:
Paleoclimatology
Paleoceanography
DOI
https://doi.org/10.7301/Z0SQ8XB4

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Description

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.
Notes:
This research is funded by the National Science Foundation grant numbers 1129408 and 1245944

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Access Conditions

Use and Reproduction
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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Is Version of:

  • Version thumbnail
    collection of Paleoclimatic data for comparison to orbitally-forced climate models, version 1.0
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Collection:

  • Brown University Open … Thumbnail

    Brown University Open Data Collection

    This collection contains open and publicly-funded data sets created by Brown University faculty and student researchers. Increasingly, publishers, and funders are requiring that protocols, data sets, metadata, and code underlying published research be retained and preserved, their locations cited within …
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