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Geoscientific Model Development An interactive open-access journal of the European Geosciences Union
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GMD | Articles | Volume 11, issue 7
Geosci. Model Dev., 11, 2563–2579, 2018
https://doi.org/10.5194/gmd-11-2563-2018
© Author(s) 2018. This work is distributed under
the Creative Commons Attribution 4.0 License.
Geosci. Model Dev., 11, 2563–2579, 2018
https://doi.org/10.5194/gmd-11-2563-2018
© Author(s) 2018. This work is distributed under
the Creative Commons Attribution 4.0 License.

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 et al.
Model code and software

Latombe et al. scripts and data G. Latombe, A. Burke, M. Vrac, G. Levavasseur, C. Dumas, M. Kageyama, and G. Ramstein https://doi.org/10.6084/m9.figshare.5487145

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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.
It is still unclear how climate conditions, and especially climate variability, influenced the...
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