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

• DOI: 10.5194/cp-17-1065-2021
• Publication Date: 2021-05-20T13:56:11Z
• Authors: 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. Po...; Aurélien Quiquet; Didier M. Roche; Xiaoxu Shi; Jessica E. Tierney; Paul J. Valdes; Evgeny Volodin; Jiang Zhu
• Keywords: Last Glacial Maximum; Paleoclimatology

Abstract. The Last Glacial Maximum (LGM, ∼ 21 000 years ago) has been a major focus for evaluating how well state-of-the-art climate models simulate changes as large those expected in the future using paleoclimate reconstructions. A new generation of used to generate LGM simulations part Paleoclimate Modelling Intercomparison Project (PMIP) contribution Coupled Model (CMIP). Here, we provide preliminary analysis and evaluation results these experiments (PMIP4, most which are PMIP4-CMIP6) compare them with previous (PMIP3, PMIP3-CMIP5). We show that global averages PMIP4 span larger range terms mean annual surface air temperature precipitation compared PMIP3-CMIP5 simulations, some reaching globally colder drier state. However, multi-model cooling average is similar PMIP3 ensembles, while than one. There important differences both atmospheric oceanic circulations between two sets experiments, northern southern jet streams being more poleward Atlantic Meridional Overturning Circulation less pronounced PMIP4-CMIP6 simulations. Changes simulated patterns influenced by circulation changes. Differences individual remain large. Therefore, although there behaviour across simulation not fundamentally different from results. Evaluation large-scale features, such land–sea contrast polar amplification, confirms capture within uncertainty Nevertheless, regional simulated: underestimate extratropical cooling, particularly winter, These point utility understand mechanisms change evaluate model performance.