2012
DOI: 10.5194/gmd-5-793-2012
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Mid-Pliocene global climate simulation with MRI-CGCM2.3: set-up and initial results of PlioMIP Experiments 1 and 2

Abstract: Abstract. The mid-Pliocene (3.3 to 3.0 million yr ago), a globally warm period before the Quaternary, is recently attracting attention as a new target for paleoclimate modelling and data-model synthesis. This paper reports setups and results of experiments proposed in Pliocene Model Intercomparison Project (PlioMIP) using a global climate model, MRI-CGCM2.3. We conducted pre-industrial and mid-Pliocene runs by using the coupled atmosphere-ocean general circulation model (AOGCM) and its atmospheric component (A… Show more

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Cited by 34 publications
(27 citation statements)
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“…The simulated general patterns of mid-Pliocene warming agree with our earlier coupled simulations , and also simulations from other PlioMIP groups (e.g. Chan et al, 2011;Koenig et al, 2012;Yan et al, 2012;Zhang et al, 2012;Kamae and Ueda, 2012;Contoux et al, 2012). The analysis of mid-Pliocene climate anomalies necessitates a reference experiment.…”
Section: Discussion and Summarysupporting
confidence: 82%
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“…The simulated general patterns of mid-Pliocene warming agree with our earlier coupled simulations , and also simulations from other PlioMIP groups (e.g. Chan et al, 2011;Koenig et al, 2012;Yan et al, 2012;Zhang et al, 2012;Kamae and Ueda, 2012;Contoux et al, 2012). The analysis of mid-Pliocene climate anomalies necessitates a reference experiment.…”
Section: Discussion and Summarysupporting
confidence: 82%
“…Near the Equator, the zonal mean annual SAT increases only by 1 • C. At high latitudes of the Southern Hemisphere, the zonal mean annual SAT increases by 11 • C. Largest warming appears near the North Pole, where the zonal mean annual SAT increases by 13 • C. Such changes, with stronger warming at high latitudes, follow the mid-Pliocene SST anomalies reconstructed by the PRISM , and also agree with PlioMIP simulations of other groups (e.g. Chan et al, 2011;Koenig et al, 2012;Yan et al, 2012;Kamae and Ueda, 2012;Contoux et al, 2012).…”
Section: Satsupporting
confidence: 83%
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“…It is widely used for the simulation of equilibrium vegetation in past climates, including the pre-Quaternary climates of the Tortonian (Pound et al, 2011) and Piacenzian (Salzmann et al, 2008;Kamae and Ueda, 2012) and the more recent mid-Holocene (Kaplan et al, 2003;Krinner et al, 2012). This model simulates the equilibrium distribution of 28 biomes.…”
Section: Biome4 Vegetation Modelmentioning
confidence: 99%
“…The respective roles of the boundary conditions can be evaluated by comparing results of the sensitivity runs. In this study, we conduct PlioMIP2 climate simulations by using an AOGCM, MRI-CGCM2.3, that was also used in the PlioMIP1 (Kamae and Ueda, 2012;hereafter KU12). The results of the PlioMIP1 run, the PlioMIP2 run, and the PlioMIP2 sensitivity runs with swapped boundary con- ditions are used to examine respective roles of the updated boundary conditions.…”
Section: Introductionmentioning
confidence: 99%