Articles | Volume 17, issue 3
https://doi.org/10.5194/cp-17-1065-2021
https://doi.org/10.5194/cp-17-1065-2021
Research article
 | 
20 May 2021
Research article |  | 20 May 2021

The PMIP4 Last Glacial Maximum experiments: preliminary results and comparison with the PMIP3 simulations

Masa Kageyama, Sandy P. Harrison, Marie-L. Kapsch, Marcus Lofverstrom, Juan M. Lora, Uwe Mikolajewicz, Sam Sherriff-Tadano, Tristan Vadsaria, Ayako Abe-Ouchi, Nathaelle Bouttes, Deepak Chandan, Lauren J. Gregoire, Ruza F. Ivanovic, Kenji Izumi, Allegra N. LeGrande, Fanny Lhardy, Gerrit Lohmann, Polina A. Morozova, Rumi Ohgaito, André Paul, W. Richard Peltier, Christopher J. Poulsen, Aurélien Quiquet, Didier M. Roche, Xiaoxu Shi, Jessica E. Tierney, Paul J. Valdes, Evgeny Volodin, and Jiang Zhu

Related authors

The hydrological cycle and ocean circulation of the Maritime Continent in the Pliocene: results from PlioMIP2
Xin Ren, Daniel J. Lunt, Erica Hendy, Anna von der Heydt, Ayako Abe-Ouchi, Bette Otto-Bliesner, Charles J. R. Williams, Christian Stepanek, Chuncheng Guo, Deepak Chandan, Gerrit Lohmann, Julia C. Tindall, Linda E. Sohl, Mark A. Chandler, Masa Kageyama, Michiel L. J. Baatsen, Ning Tan, Qiong Zhang, Ran Feng, Stephen Hunter, Wing-Le Chan, W. Richard Peltier, Xiangyu Li, Youichi Kamae, Zhongshi Zhang, and Alan M. Haywood
Clim. Past, 19, 2053–2077, https://doi.org/10.5194/cp-19-2053-2023,https://doi.org/10.5194/cp-19-2053-2023, 2023
Short summary
Refinement of the environmental and chronological context of the archeological site El Harhoura 2 (Rabat, Morocco) using paleoclimatic simulations
Léa Terray, Emmanuelle Stoetzel, Eslem Ben Arous, Masa Kageyama, Raphaël Cornette, and Pascale Braconnot
Clim. Past, 19, 1245–1263, https://doi.org/10.5194/cp-19-1245-2023,https://doi.org/10.5194/cp-19-1245-2023, 2023
Short summary
An energy budget approach to understand the Arctic warming during the Last Interglacial
Marie Sicard, Masa Kageyama, Sylvie Charbit, Pascale Braconnot, and Jean-Baptiste Madeleine
Clim. Past, 18, 607–629, https://doi.org/10.5194/cp-18-607-2022,https://doi.org/10.5194/cp-18-607-2022, 2022
Short summary
The use of paleoclimatic simulations to refine the environmental and chronological context of archaeological/paleontological sites
Léa Terray, Masa Kageyama, Emmanuelle Stoetzel, Eslem Ben Arous, Raphaël Cornette, and Pascale Braconnot
Clim. Past Discuss., https://doi.org/10.5194/cp-2021-185,https://doi.org/10.5194/cp-2021-185, 2022
Manuscript not accepted for further review
Short summary
Impact of dust in PMIP-CMIP6 mid-Holocene simulations with the IPSL model
Pascale Braconnot, Samuel Albani, Yves Balkanski, Anne Cozic, Masa Kageyama, Adriana Sima, Olivier Marti, and Jean-Yves Peterschmitt
Clim. Past, 17, 1091–1117, https://doi.org/10.5194/cp-17-1091-2021,https://doi.org/10.5194/cp-17-1091-2021, 2021
Short summary

Related subject area

Subject: Climate Modelling | Archive: Terrestrial Archives | Timescale: Pleistocene
Seasonal aridity in the Indo-Pacific Warm Pool during the Late Glacial driven by El Niño-like conditions
Petter L. Hällberg, Frederik Schenk, Kweku A. Yamoah, Xueyuen Kuang, and Rienk H. Smittenberg
Clim. Past, 18, 1655–1674, https://doi.org/10.5194/cp-18-1655-2022,https://doi.org/10.5194/cp-18-1655-2022, 2022
Short summary
crestr: an R package to perform probabilistic climate reconstructions from palaeoecological datasets
Manuel Chevalier
Clim. Past, 18, 821–844, https://doi.org/10.5194/cp-18-821-2022,https://doi.org/10.5194/cp-18-821-2022, 2022
Short summary
A new perspective on permafrost boundaries in France during the Last Glacial Maximum
Kim H. Stadelmaier, Patrick Ludwig, Pascal Bertran, Pierre Antoine, Xiaoxu Shi, Gerrit Lohmann, and Joaquim G. Pinto
Clim. Past, 17, 2559–2576, https://doi.org/10.5194/cp-17-2559-2021,https://doi.org/10.5194/cp-17-2559-2021, 2021
Short summary
Pollen-based temperature and precipitation changes in the Ohrid Basin (western Balkans) between 160 and 70 ka
Gaia Sinopoli, Odile Peyron, Alessia Masi, Jens Holtvoeth, Alexander Francke, Bernd Wagner, and Laura Sadori
Clim. Past, 15, 53–71, https://doi.org/10.5194/cp-15-53-2019,https://doi.org/10.5194/cp-15-53-2019, 2019
Short summary
Greenland Ice Sheet influence on Last Interglacial climate: global sensitivity studies performed with an atmosphere–ocean general circulation model
Madlene Pfeiffer and Gerrit Lohmann
Clim. Past, 12, 1313–1338, https://doi.org/10.5194/cp-12-1313-2016,https://doi.org/10.5194/cp-12-1313-2016, 2016
Short summary

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. 
Adloff, M., Reick, C. H., and Claussen, M.: Earth system model simulations show different feedback strengths of the terrestrial carbon cycle under glacial and interglacial conditions, Earth Syst. Dynam., 9, 413–425, https://doi.org/10.5194/esd-9-413-2018, 2018. 
Annan, J. D. and Hargreaves, J. C.: A new global reconstruction of temperature changes at the Last Glacial Maximum, Clim. Past, 9, 367–376, https://doi.org/10.5194/cp-9-367-2013, 2013. 
Annan, J. D. and Hargreaves, J. C.: A perspective on model-data surface temperature comparison at the Last Glacial Maximum, Quat. Sci. Rev., 107, 1–10, https://doi.org/10.1016/j.quascirev.2014.09.019, 2015. 
Argus, D. F., Peltier, W. R., Drummond, R., and Moore, A. W.: The Antarctica component of postglacial rebound model ICE-6G_C(VM5a) based on GPS positioning, exposure age dating of ice thicknesses, and relative sea level histories, Geophys. J. Int., 198, 537–563, https://doi.org/10.1093/gji/ggu140, 2014. 
Download
Short summary
The Last Glacial Maximum (LGM; ~21 000 years ago) is a major focus for evaluating how well climate models simulate climate changes as large as those expected in the future. Here, we compare the latest climate model (CMIP6-PMIP4) to the previous one (CMIP5-PMIP3) and to reconstructions. Large-scale climate features (e.g. land–sea contrast, polar amplification) are well captured by all models, while regional changes (e.g. winter extratropical cooling, precipitations) are still poorly represented.