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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.
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Status: closed
AC: Author comment | RC: Referee comment | SC: Short comment | EC: Editor comment
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AR: Author's response | RR: Referee report | ED: Editor decision
AR by Guillaume Latombe on behalf of the Authors (01 Apr 2018)  Author's response    Manuscript
ED: Referee Nomination & Report Request started (08 Apr 2018) by Jeremy Fyke
ED: Publish subject to technical corrections (18 May 2018) by Jeremy Fyke
AR by Guillaume Latombe on behalf of the Authors (06 Jun 2018)  Author's response    Manuscript
Publications Copernicus
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Short summary
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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