Articles | Volume 11, issue 7
https://doi.org/10.5194/gmd-11-2563-2018
https://doi.org/10.5194/gmd-11-2563-2018
Model description paper
 | 
03 Jul 2018
Model description paper |  | 03 Jul 2018

Comparison of spatial downscaling methods of general circulation model results to study climate variability during the Last Glacial Maximum

Guillaume Latombe, Ariane Burke, Mathieu Vrac, Guillaume Levavasseur, Christophe Dumas, Masa Kageyama, and Gilles Ramstein

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Cited articles

Abe-Ouchi, A., Saito, F., Kageyama, M., Braconnot, P., Harrison, S. P., Lambeck, K., Otto-Bliesner, B. L., Peltier, W. R., Tarasov, L., Peterschmitt, J.-Y., and Takahashi, K.: Ice-sheet configuration in the CMIP5/PMIP3 Last Glacial Maximum experiments, Geosci. Model Dev., 8, 3621–3637, https://doi.org/10.5194/gmd-8-3621-2015, 2015. 
Akaike, H.: A new look at the statistical model identification, IEEE T. Automat. Contr., 19, 716–723, 1974. 
Banks, W. E., d'Errico, F., Peterson, A. T., Kageyama, M., Sima, A., and Sánchez-Goñi, M. F.: Neanderthal extinction by competitive exclusion, PloS ONE, 3, e3972, https://doi.org/10.1371/journal.pone.0003972, 2008a. 
Banks, W. E., d'Errico, F., Peterson, A. T., Vanhaeren, M., Kageyama, M., Sepulchre, P., Ramstein, G., Jost, A., and Lunt, D.: Human ecological niches and ranges during the LGM in Europe derived from an application of eco-cultural niche modeling, J. Archaeol. Sci., 35, 481–491, 2008b. 
Banks, W. E., d'Errico, F., and Zilhão, J. L.: Human-climate interaction during the Early Upper Paleolithic: testing the hypothesis of an adaptive shift between the Proto-Aurignacian and the Early Aurignacian, J. Hum. Evol., 64, 39–55, 2013. 
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It is still unclear how climate conditions, and especially climate variability, influenced the spatial distribution of past human populations. Global climate models (GCMs) cannot simulate climate at sufficiently fine scale for this purpose. We propose a statistical method to obtain fine-scale climate projections for 15 000 years ago from coarse-scale GCM outputs. Our method agrees with local reconstructions from fossil and pollen data, and generates sensible climate variability maps over Europe.
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