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.
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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- Unpacking dasymetric modelling to correct spatial bias in environmental model outputs M. Kallio et al. 10.1016/j.envsoft.2022.105511
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- Habitat suitability and the genetic structure of human populations during the Last Glacial Maximum (LGM) in Western Europe C. Wren et al. 10.1371/journal.pone.0217996
- Simulations of the Holocene climate in Europe using an interactive downscaling within the iLOVECLIM model (version 1.1) F. Arthur et al. 10.5194/cp-19-87-2023
- Topographic and climatic controls of peatland distribution on the Tibetan Plateau J. Sun et al. 10.1038/s41598-023-39699-x
- Investigating stable oxygen and carbon isotopic variability in speleothem records over the last millennium using multiple isotope-enabled climate models J. Bühler et al. 10.5194/cp-18-1625-2022
- Validating CCSM3 paleoclimate data using pollen-based reconstruction in the intermountain west C. Nicholson et al. 10.1016/j.quascirev.2019.105911
- Anatomically modern human dispersals into Europe during MIS 3: Climate stability, paleogeography and habitat suitability S. Paquin et al. 10.1016/j.quascirev.2024.108596
- Diversified evapotranspiration responses to climatic change and vegetation greening in eight global great river basins S. Hu & X. Mo 10.1016/j.jhydrol.2022.128411
- Sensitivity of Glaciers in the European Alps to Anthropogenic Atmospheric Forcings: Case Study of the Argentière Glacier L. Clauzel et al. 10.1029/2022GL100363
- Validation and Bias Correction of Monthly δ18O Precipitation Time Series from ECHAM5-Wiso Model in Central Europe V. Salamalikis & A. Argiriou 10.3390/oxygen2020010
- Coupled climate-glacier modelling of the last glaciation in the Alps G. Jouvet et al. 10.1017/jog.2023.74
- Optimized hybrid ensemble technique for CMIP6 wind data projections under different climate-change scenarios. Case study: United Kingdom S. Moradian et al. 10.1016/j.scitotenv.2022.154124
- Probabilistic analysis of drought impact on wheat yield and climate change implications B. Wang et al. 10.1016/j.wace.2024.100708
- QuickSampling v1.0: a robust and simplified pixel-based multiple-point simulation approach M. Gravey & G. Mariethoz 10.5194/gmd-13-2611-2020
- Continental Hydrologic Intercomparison Project, Phase 1: A Large‐Scale Hydrologic Model Comparison Over the Continental United States D. Tijerina‐Kreuzer et al. 10.1029/2020WR028931
- The role of ice-sheet topography in the Alpine hydro-climate at glacial times P. Velasquez et al. 10.5194/cp-18-1579-2022
- Temperature and precipitation regime in LGM human refugia of southwestern Europe inferred from δ13C and δ18O of large mammal remains C. Lécuyer et al. 10.1016/j.quascirev.2021.106796
- 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
- Evaluating the impact of climate change and millennial variability on the last Neanderthal populations in Europe (Marine Isotope Stage 3) B. Albouy et al. 10.1016/j.quascirev.2024.108812
Discussed (final revised paper)
Latest update: 03 Nov 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...