Evaluation of CMIP6 DECK Experiments With CNRM‐CM6‐1

By A. Voldoire, D. Saint‐Martin, S. Sénési, Bertrand Decharme, A. Alias, M. Chevallier, J. Colin, J. Guérémy, M. Michou, M. Moine and 23 more. Journal of Advances in Modeling Earth Systems, 2019

814 citations recorded by the source corpus.

This paper describes the main characteristics of CNRM‐CM6‐1, the fully coupled atmosphere‐ocean general circulation model of sixth generation jointly developed by Centre National de Recherches Météorologiques (CNRM) and Cerfacs for the sixth phase of the Coupled Model Intercomparison Project 6 (CMIP6). The paper provides a description of each component of CNRM‐CM6‐1, including the coupling method and the new online output software. We emphasize where model's components have been updated with respect to the former model version, CNRM‐CM5.1. In particular, we highlight major improvements in the representation of atmospheric and land processes. A particular attention has also been devoted to mass and energy conservation in the simulated climate system to limit long‐term drifts. The climate simulated by CNRM‐CM6‐1 is then evaluated using CMIP6 historical and Diagnostic, Evaluation and Characterization of Klima (DECK) experiments in comparison with CMIP5 CNRM‐CM5.1 equivalent experiments. Overall, the mean surface biases are of similar magnitude but with different spatial patterns. Deep ocean biases are generally reduced, whereas sea ice is too thin in the Arctic. Although the simulated climate variability remains roughly consistent with CNRM‐CM5.1, its sensitivity to rising CO2 has increased: the equilibrium climate sensitivity is 4.9 K, which is now close to the upper bound of the range estimated from CMIP5 models.

Subfields: Atmospheric Science, Global and Planetary Change

View Paper: https://www.semanticscholar.org/paper/3e98733b6b82f033a091ac721dcf9eb4c7717143

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Atmospheric Science

1. Reto Knutti
2. Sandrine Bony
3. J. Dufresne
4. A. Pendergrass
5. J. Vial
6. L. Brunner
7. R. Lorenz
8. A. Merrifield

In Global and Planetary Change

1. Reto Knutti
2. Sandrine Bony
3. J. Dufresne
4. A. Pendergrass
5. J. Vial
6. L. Brunner
7. R. Lorenz
8. A. Merrifield

Citations in the corpus

• Implementation of the CMIP6 Forcing Data in the IPSL‐CM6A‐LR Model (2020, methodology): “We have thus performed a few scenario experiments with ozone fields that were scaled using monthly outputs from the CNRM-CM6 model (Michou et al., 2020; Voldoire et al., 2019).”
• Reduced global warming from CMIP6 projections when weighting models by performance and independence (2020, result): “…this discussion has been sparked yet again, as several CMIP6 models show stronger warming than most of the earlier-generation CMIP5 models (Andrews et al., 2019; Gettelman et al., 2019; Golaz et al., 2019; Voldoire et al., 2019; Swart et al., 2019; Zelinka et al., 2020; Forster et al., 2020).”
• Evaluation of CNRM Earth System Model, CNRM‐ESM2‐1: Role of Earth System Processes in Present‐Day and Future Climate (2019, methodology): “01 W m century which is comparable to that of CNRM‐CM6‐1 (Voldoire et al., 2019) but four times smaller than of CNRM‐ESM 1.”
• Quantifying Progress Across Different CMIP Phases With the ESMValTool (2020, background): “CNRM‐CM6‐1‐HR CNRM‐CM6‐1 Météo‐France/Centre National de Recherches Météorologiques (CNRM) and Centre Européen de Recherches et de Formation Avancée en Calcul Scientifique (CERFACS), France Voldoire et al. (2019)”
• Presentation and Evaluation of the IPSL‐CM6A‐LR Climate Model (2020, background): “It should be noted that a similar feature is found in at least another CMIP6 model (CNRM‐CM6 Voldoire et al., 2019) that shares the same ocean model as IPSL‐CM6A‐LR. Exact origin of this behavior is still under investigation.”