4.7 Article

Sea Surface Temperature of the mid-Piacenzian Ocean: A Data-Model Comparison

Journal

SCIENTIFIC REPORTS
Volume 3, Issue -, Pages -

Publisher

NATURE PORTFOLIO
DOI: 10.1038/srep02013

Keywords

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Funding

  1. U.S. Geological Survey Climate and Land Use Change Research and Development Program
  2. PlioMIP initiative
  3. USGS Mendenhall Post-doctoral Fellowship Program
  4. NASA
  5. NASA High-End Computing (HEC) Program through the NASA Center for Climate Simulation (NCCS) at Goddard Space Flight Center
  6. Natural Environment Research Council, NERC [NE/I016287/1, NE/H006273/1]
  7. U.S. National Science Foundation (NSF)
  8. NSF
  9. European Research Council under the European Union/ERC [278636]
  10. UK Natural Environment Research Council
  11. AWI
  12. Helmholz
  13. Japan Society for the Promotion of Science and computing resources at the Earth Simulator Center, JAMSTEC
  14. NERC [NE/I016287/1, NE/H006273/1] Funding Source: UKRI
  15. Natural Environment Research Council [NE/H006273/1, NE/I016287/1] Funding Source: researchfish
  16. Grants-in-Aid for Scientific Research [22101005] Funding Source: KAKEN

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The mid-Piacenzian climate represents the most geologically recent interval of long-term average warmth relative to the last million years, and shares similarities with the climate projected for the end of the 21st century. As such, it represents a natural experiment from which we can gain insight into potential climate change impacts, enabling more informed policy decisions for mitigation and adaptation. Here, we present the first systematic comparison of Pliocene sea surface temperature (SST) between an ensemble of eight climate model simulations produced as part of PlioMIP (Pliocene Model Intercomparison Project) with the PRISM (Pliocene Research, Interpretation and Synoptic Mapping) Project mean annual SST field. Our results highlight key regional and dynamic situations where there is discord between the palaeoenvironmental reconstruction and the climate model simulations. These differences have led to improved strategies for both experimental design and temporal refinement of the palaeoenvironmental reconstruction.

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