Abstract
The amplitude of natural climate variability is considered in several versions of the Institute of Numerical Mathematics, Russian Academy of Sciences (INM RAS), climate model with different equilibrium sensitivity to increasing CO2. It is shown that root-mean-square deviations of global mean surface temperature for a model version with an equilibrium sensitivity of 3.6 and 7.6 K to CO2 quadrupling are approximately the same. There is no increase in the amplitude of natural climate variability for a model with high sensitivity for both global mean and regional values. However, some increase in the amplitude of natural variability in the Pacific, including that related to El Niño and the Pacific Decadal Oscillation, occurs after a change in the treatment for atmospheric-boundary-layer cloud generation, while there are small changes in equilibrium climate sensitivity.
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REFERENCES
G. Flato, J. Marotzke, B. Abiodun, P. Braconnot, S. C. Chou, W. Collins, P. Cox, F. Driouech, S. Emori, V. Eyring, C. Forest, P. Gleckler, E. Guilyardi, C. Jakob, V. Kattsov, et al., “Evaluation of climate models,” in Climate Change 2013: The Physical Science Basis. Contribution of Working Group I to the Fifth Assessment Report of the Intergovernmental Panel on Climate Change, Ed. by T. F. Stocker, D. Qin, G.-K. Plattner, (Cambridge Univ. Press, Cambridge, 2013), pp. 741–882.
M. D. Zelinka, T. A. Myers, D. T. McCoy, S. Po-Chedley, P. M. Caldwell, P. Ceppi, S. Klein, and K. Taylor, “Causes of higher climate sensitivity in CMIP6 models,” Geophys. Res. Lett. 47, e2019GL085782 (2020). https://doi.org/10.1029/2019GL085782
F. Nijsse, P. M. Cox, C. Huntingfort, and M. Williamson, “Decadal global temperature variability increases strongly with climate sensitivity,” Nat. Clim. Change 9, 598–601 (2019). https://doi.org/10.1038/s41558-019-0527-4
P. M. Cox, C. Huntingfort, and M. Williamson, “Emergent constraint on equilibrium climate sensitivity from global temperature variability,” Nature 553, 319–322 (2018). https://doi.org/10.1038/nature25450
E. M. Volodin, “Equilibrium sensitivity of a climate model to an increase in the atmospheric CO2 concentration using different methods to account for cloudiness,” Izv., Atmos. Ocean. Phys. 57 (2), 127–132 (2021).
E. M. Volodin, E. V. Mortikov, S. V. Kostrykin, V. Ya. Galin, V. N. Lykossov, A. S. Gritsun, N. A. Diansky, A. V. Gusev, N. G. Iakovlev, A. A. Shestakova, and S. V. Emelina, “Simulation of the modern climate using the INM-CM48 climate model,” Russ. J. Numer. Anal. Math. Modell. 33 (6), 367–374 (2018).
M. Tiedtke, “Representation of clouds in large-scale models,” Mon. Weather. Rev. 121, 3040–3061 (1993).
J. M. Gregory, W. J. Ingram, M. A. Palmer, G. S. Jones, P. A. Stott, R. B. Thorpe, J. A. Lowe, T. C. Johns, and K. D. Williams, “A new method for diagnosing radiative forcing and climate sensitivity,” Geophys. Res. Lett. 31, L03205 (2004). https://doi.org/10.1029/2003GL018747
Funding
This study was carried out at the Institute of Numerical Mathematics, Russian Academy of Sciences and supported by the Russian Science Foundation, grant no. 20-17-00190.
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Translated by N. Tretyakova
The paper was prepared based on an oral report presented at the All-Russia Conference on Turbulence, Dynamics of Atmosphere and Climate dedicated to the memory of Academician A.M. Obukhov (Moscow, November 10–12, 2020).
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Volodin, E.M. Relationship between Natural Climate Variability and Equilibrium Sensitivity in the Climate Model of the Institute of Numerical Mathematics of the Russian Academy of Sciences to Increasing СО2. Izv. Atmos. Ocean. Phys. 57, 447–450 (2021). https://doi.org/10.1134/S0001433821050145
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DOI: https://doi.org/10.1134/S0001433821050145