4.8 Article

Assessing confidence in Pliocene sea surface temperatures to evaluate predictive models

期刊

NATURE CLIMATE CHANGE
卷 2, 期 5, 页码 365-371

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NATURE PUBLISHING GROUP
DOI: 10.1038/NCLIMATE1455

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资金

  1. US Geological Survey
  2. NASA
  3. European Research Council under European Union [278636]
  4. Leverhulme Early Career Fellowship [ECF-2011-205]
  5. British Geological Survey
  6. National Centre for Atmospheric Science
  7. Natural Environment Research Council [NE/H006273/1]
  8. US National Science Foundation
  9. National Science Foundation
  10. Grants-in-Aid for Scientific Research [22101005] Funding Source: KAKEN
  11. Natural Environment Research Council [ncas10009, NE/H006273/1, bgs05002] Funding Source: researchfish
  12. NERC [NE/H006273/1, bgs05002] Funding Source: UKRI

向作者/读者索取更多资源

In light of mounting empirical evidence that planetary warming is well underway, the climate research community looks to palaeoclimate research for a ground-truthing measure with which to test the accuracy of future climate simulations. Model experiments that attempt to simulate climates of the past serve to identify both similarities and differences between two climate states and, when compared with simulations run by other models and with geological data, to identify model-specific biases. Uncertainties associated with both the data and the models must be considered in such an exercise. The most recent period of sustained global warmth similar to what is projected for the near future occurred about 3.3-3.0 million years ago, during the Pliocene epoch. Here, we present Pliocene sea surface temperature data, newly characterized in terms of level of confidence, along with initial experimental results from four climate models. We conclude that, in terms of sea surface temperature, models are in good agreement with estimates of Pliocene sea surface temperature in most regions except the North Atlantic. Our analysis indicates that the discrepancy between the Pliocene proxy data and model simulations in the mid-latitudes of the North Atlantic, where models underestimate warming shown by our highest-confidence data, may provide a new perspective and insight into the predictive abilities of these models in simulating a past warm interval in Earth history. This is important because the Pliocene has a number of parallels to present predictions of late twenty-first century climate.

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