Articles | Volume 11, issue 7
https://doi.org/10.5194/gmd-11-2563-2018
© Author(s) 2018. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/gmd-11-2563-2018
© Author(s) 2018. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Model description paper
| 
03 Jul 2018
Model description paper |
| 03 Jul 2018
| 03 Jul 2018
Comparison of spatial downscaling methods of general circulation model results to study climate variability during the Last Glacial Maximum
Guillaume Latombe
CORRESPONDING AUTHOR
Centre for Invasion Biology, Department of Mathematical Sciences,
Stellenbosch University, Stellenbosch, South Africa
School of Biological Sciences, Monash University, Melbourne,
Australia
Ariane Burke
Département d'Anthropologie, Université de Montréal,
Montréal, QC, Canada
Mathieu Vrac
Laboratoire des Sciences du Climat et de l'Environnement/Institut
Pierre-Simon Laplace, Université Paris-Saclay, CE Saclay, l'Orme des
Merisiers, Bât.701, Gif-sur-Yvette, France
Guillaume Levavasseur
Institut Pierre Simon Laplace (IPSL), Pôle de modélisation du
climat, UPMC, Paris, France
Christophe Dumas
Laboratoire des Sciences du Climat et de l'Environnement/Institut
Pierre-Simon Laplace, Université Paris-Saclay, CE Saclay, l'Orme des
Merisiers, Bât.701, Gif-sur-Yvette, France
Masa Kageyama
Laboratoire des Sciences du Climat et de l'Environnement/Institut
Pierre-Simon Laplace, Université Paris-Saclay, CE Saclay, l'Orme des
Merisiers, Bât.701, Gif-sur-Yvette, France
Gilles Ramstein
Laboratoire des Sciences du Climat et de l'Environnement/Institut
Pierre-Simon Laplace, Université Paris-Saclay, CE Saclay, l'Orme des
Merisiers, Bât.701, Gif-sur-Yvette, France
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- The archaeology of climate change: The case for cultural diversity A. Burke et al. 10.1073/pnas.2108537118
- Application of transform software for downscaling global climate model EdGCM results in north-eastern Bangladesh F. Ishaque et al. 10.4491/eer.2019.383
- An ensemble-based assessment of bias adjustment performance, changes in hydrometeorological predictors and compound extreme events in EAS-CORDEX P. Olschewski et al. 10.1016/j.wace.2022.100531
Discussed (final revised paper)
Latest update: 24 Apr 2024
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...
