You, Y. and Huber, M. and Muller, R. D. and Poulsen, C. J. and Ribbe, J. (2009) Simulation of the middle miocene climate optimum. Geophysical Research Letters, 36 (4). L04702. ISSN 0094-8276
![[img]](http://eprints.usq.edu.au/style/images/fileicons/text.png)
|
Text (Accepted Version)
You_Huber_Muller_Poulson_Ribbe_2009_Author_version.pdf Download (403Kb) |
Abstract
Proxy data constraining land and ocean surface paleo-temperatures indicate that the Middle Miocene Climate Optimum (MMCO), a global warming event at ~15 Ma, had a global annual mean surface temperature of 18.4°C, about 3°C higher than present and equivalent to the warming predicted for the next century. We apply the latest National Center for Atmospheric Research (NCAR) Community Atmosphere Model CAM3.1 and Land Model CLM3.0 coupled to a slab ocean to examine sensitivity of MMCO climate to varying ocean heat fluxes derived from paleo sea surface temperatures (SSTs) and atmospheric carbon dioxide concentrations, using detailed reconstructions of Middle Miocene boundary conditions including paleogeography, elevation, vegetation and surface temperatures. Our model suggests that to maintain MMCO warmth consistent with proxy data, the required atmospheric CO2 concentration is about 460-580 ppmv, narrowed from the most recent estimate of 300-600 ppmv.
|
Statistics for this ePrint Item |
| Item Type: | Article (Commonwealth Reporting Category C) |
|---|---|
| Refereed: | Yes |
| Item Status: | Live Archive |
| Additional Information: | Deposited in accordance with the copyright policy of the publisher. |
| Faculty / Department / School: | Historic - Faculty of Sciences - Department of Biological and Physical Sciences |
| Date Deposited: | 23 Jan 2009 07:36 |
| Last Modified: | 22 Nov 2013 02:55 |
| Uncontrolled Keywords: | climate change; paleoclimatology; modelling; Miocene; carbon dioxide; sea surface temperature |
| Fields of Research : | 04 Earth Sciences > 0401 Atmospheric Sciences > 040104 Climate Change Processes 04 Earth Sciences > 0401 Atmospheric Sciences > 040105 Climatology (excl.Climate Change Processes) 08 Information and Computing Sciences > 0801 Artificial Intelligence and Image Processing > 080110 Simulation and Modelling |
| Socio-Economic Objective: | D Environment > 96 Environment > 9603 Climate and Climate Change > 960303 Climate Change Models |
| Identification Number or DOI: | doi: 10.1029/2008GL036571 |
| URI: | http://eprints.usq.edu.au/id/eprint/4872 |
Actions (login required)
 |
Archive Repository Staff Only |