2006
DOI: 10.1016/j.quascirev.2006.02.010
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Last Glacial Maximum temperatures over the North Atlantic, Europe and western Siberia: a comparison between PMIP models, MARGO sea–surface temperatures and pollen-based reconstructions

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Cited by 186 publications
(164 citation statements)
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“…They reproduce the south-west to north-east temperature gradient, with a decrease of MTCO cooling from Europe to Siberia, and the absence of significant MTWA gradient, as in the PMIP1 and PMIP2 model-pollen data comparisons carried out by Kageyama et al (2001Kageyama et al ( , 2006. Our results show a better agreement with the data, in particular over Western Europe, as we include the vegetation contribution, not taken into account in the PMIP1 simulations.…”
Section: Consistency With Palaeo Datasupporting
confidence: 67%
“…They reproduce the south-west to north-east temperature gradient, with a decrease of MTCO cooling from Europe to Siberia, and the absence of significant MTWA gradient, as in the PMIP1 and PMIP2 model-pollen data comparisons carried out by Kageyama et al (2001Kageyama et al ( , 2006. Our results show a better agreement with the data, in particular over Western Europe, as we include the vegetation contribution, not taken into account in the PMIP1 simulations.…”
Section: Consistency With Palaeo Datasupporting
confidence: 67%
“…The modeled sea ice distribution produces sea ice all year round in the Nordic Seas, while this area is thought to have been seasonally ice-free [Pflaumann et al, 2003;Kucera et al, 2005], which also indicates our model is too cold in the northern North Atlantic. Other coupled atmosphere-ocean models from the PMIP project have similar problems obtaining LGM-PD temperature anomalies similar to those of MARGO [Kageyama et al, 2006]. In these PMIP simulations the main area of LGM-PD cooling is not over Europe as is the case in the MARGO reconstruction.…”
Section: Climate Modelmentioning
confidence: 69%
“…The possible cold bias in the CLIMAP reconstructions can influence our model results through the wind stress. This has been seen in the PMIP project, where the use of CLIMAP SST data as a boundary condition in atmospheric GCMs leads to sea surface temperatures (from slab ocean models) that are more consistent with CLIMAP than MARGO data [Kageyama et al, 2006].…”
Section: Climate Modelmentioning
confidence: 85%
“…These Patella SST records indicate that both the absolute SST and the seasonal distribution of SST in current model outputs for the LGM (Kageyama et al, 2006) are not well represented. Six models run during PMIP2 (Braconnot et al, 2007) show a cooling of~3.5°C in summer SST and~3°C in winter SST at 21 kyrs BP relative to presentday model runs (Supplementary Fig.…”
Section: Past Seasonality In Sst At Gibraltarmentioning
confidence: 94%