Presentation and Evaluation of the IPSL‐CM6A‐LR Climate Model
By O. Boucher, J. Servonnat, Anna Lea Albright, O. Aumont, Y. Balkanski, V. Bastrikov, S. Bekki, R. Bonnet, Sandrine Bony, L. Bopp and 70 more. Journal of Advances in Modeling Earth Systems, 2020
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This study presents the global climate model IPSL‐CM6A‐LR developed at Institut Pierre‐Simon Laplace (IPSL) to study natural climate variability and climate response to natural and anthropogenic forcings as part of the sixth phase of the Coupled Model Intercomparison Project (CMIP6). This article describes the different model components, their coupling, and the simulated climate in comparison to previous model versions. We focus here on the representation of the physical climate along with the main characteristics of the global carbon cycle. The model's climatology, as assessed from a range of metrics (related in particular to radiation, temperature, precipitation, and wind), is strongly improved in comparison to previous model versions. Although they are reduced, a number of known biases and shortcomings (e.g., double Intertropical Convergence Zone [ITCZ], frequency of midlatitude wintertime blockings, and El Niño–Southern Oscillation [ENSO] dynamics) persist. The equilibrium climate sensitivity and transient climate response have both increased from the previous climate model IPSL‐CM5A‐LR used in CMIP5. A large ensemble of more than 30 members for the historical period (1850–2018) and a smaller ensemble for a range of emissions scenarios (until 2100 and 2300) are also presented and discussed.
Subfields: Atmospheric Science, Global and Planetary Change
View Paper: https://www.semanticscholar.org/paper/e8d2950111fe04f85d47637dec299faef4653dbd
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Citations in the corpus
- Future changes in precipitation extremes over Southeast Asia: insights from CMIP6 multi-model ensemble (2021, background): “The major findings are summarized as follows: (a) Precipitation indices of Rx1day, Rx5day, SDII, R20mm and R95pTOT show consistent increases across the ICP and Maritime Continent under the four CMIP6 scenarios.”