Presentation and evaluation of the IPSL-CM6A-LR ensemble of extended historical simulations
Bonnet, R.; Boucher, O.; Deshayes, J.; Gastineau, G.; Hourdin, F.; Mignot, J.; Servonnat, J.; Swingedouw, D. (2021). Presentation and evaluation of the IPSL-CM6A-LR ensemble of extended historical simulations. J. Adv. Model. Earth Syst. 13(9): e2021MS002565. https://dx.doi.org/10.1029/2021MS002565
In: Journal of Advances in Modeling Earth Systems. American Geophysical Union: Washington. e-ISSN 1942-2466, more
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| Author keywords |
climate variability; global climate models; decadal ocean variability |
| Authors | | Top |
- Bonnet, R.
- Boucher, O.
- Deshayes, J.
- Gastineau, G.
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- Hourdin, F.
- Mignot, J.
- Servonnat, J.
- Swingedouw, D., more
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| Abstract |
The Institut Pierre-Simon Laplace Climate Modeling Center has produced an ensemble of extended historical simulations using the IPSL-CM6A-LR climate model. This ensemble (referred to as IPSL-EHS) is composed of 32 members over the 1850–2059 period that share the same external forcings but differ in their initial conditions. In this study, we assess the simulated decadal to multidecadal climate variability in the IPSL-EHS. In particular, we examine the global temperature evolution and recent warming trends, and their consistency with ocean heat content and sea ice cover. The model exhibits a large low-frequency internal climate variability. In particular, a quasi-bicentennial mode of internal climate variability is present in the model and is associated with the Atlantic Meridional Overturning Circulation. Such variability modulates the global mean surface air temperature changes over the historical period by about urn:x-wiley:19422466:media:jame21427:jame21427-math-0001 0.1K. This modulation is found to be linked to the phase present in the initial condition state of each member. This variability appears to decrease during the 1850–2018 period in response to external forcings. The analysis of the ocean heat content reveals furthermore an overestimation of the ocean stratification, which likely leads to an overestimation of the recent warming rate on average. |
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