Transient Climate Response in a Two-Layer Energy-Balance Model. Part II: Representation of the Efficacy of Deep-Ocean Heat Uptake and Validation for CMIP5 AOGCMs

In this second part of a series of two articles analyzing the global thermal properties of atmosphere–ocean coupled general circulation models (AOGCMs) within the framework of a two-layer energy-balance model (EBM),theroleoftheefficacyofdeep-oceanheatuptakeisinvestigated. Takingintoaccountsuchanefficacy factor is shown to amount to representing the effect of deep-ocean heat uptake on the local strength of the radiative feedback in the transient regime. It involves an additional term in the formulation of the radiative imbalance at the top of the atmosphere (TOA), which explains the nonlinearity between radiative imbalance and the mean surface temperature observed in some AOGCMs. An analytical solution of this system is given and this simple linear EBM is calibrated for the set of 16 AOGCMs of phase 5 of the Coupled Model Intercomparison Project (CMIP5) studiedin Part I. It is shownthat both the netradiativefluxesat TOA andthe global surface temperature transient response are well represented by the simple EBM over the available period of simulations. Differences between this two-layer EBM and the previous version without an efficacy factorareanalyzedandrelationshipsbetweenparametersarediscussed.Thesimplemodelcalibrationapplied to AOGCMs constitutes a new method for estimating their respective equilibrium climate sensitivity and adjusted radiative forcing amplitude from short-term step-forcing simulations and more generally a method to compute their global thermal properties.

[1]  John F. B. Mitchell,et al.  The time‐dependence of climate sensitivity , 2000 .

[2]  Jonathan M. Gregory,et al.  Time Variation of Effective Climate Sensitivity in GCMs , 2008 .

[3]  D. Saint‐Martin,et al.  Transient Climate Response in a Two-Layer Energy-Balance Model. Part I: Analytical Solution and Parameter Calibration Using CMIP5 AOGCM Experiments , 2013 .

[4]  Isaac M. Held,et al.  Importance of Ocean Heat Uptake Efficacy to Transient Climate Change , 2010 .

[5]  T. Delworth,et al.  Probing the Fast and Slow Components of Global Warming by Returning Abruptly to Preindustrial Forcing , 2010 .

[6]  Jonathan M. Gregory,et al.  Transient climate response estimated from radiative forcing and observed temperature change , 2008 .

[7]  Jonathan M. Gregory,et al.  The Role of Climate Sensitivity and Ocean Heat Uptake on AOGCM Transient Temperature Response , 2002 .

[8]  M. Blackburn,et al.  An examination of climate sensitivity for idealised climate change experiments in an intermediate general circulation model , 2000 .

[9]  Corinne Le Quéré,et al.  Climate Change 2013: The Physical Science Basis , 2013 .

[10]  Reto Knutti,et al.  The equilibrium sensitivity of the Earth's temperature to radiation changes , 2008 .

[11]  G. Boer,et al.  Climate sensitivity and response , 2003 .

[12]  M. Webb,et al.  Tropospheric Adjustment Induces a Cloud Component in CO2 Forcing , 2008 .

[13]  Syukuro Manabe,et al.  Transient responses of a coupled ocean-atmosphere model to gradual changes of atmospheric CO2 , 1991 .

[14]  Chao Li,et al.  Deep-ocean heat uptake and equilibrium climate response , 2013, Climate Dynamics.

[15]  J. Hansen,et al.  Efficacy of climate forcings , 2005 .

[16]  Jonathan M. Gregory,et al.  A new method for diagnosing radiative forcing and climate sensitivity , 2004 .

[17]  Julia C. Hargreaves,et al.  Long-term climate commitments projected with climate-carbon cycle models , 2008 .

[18]  K. Taylor,et al.  Forcing, feedbacks and climate sensitivity in CMIP5 coupled atmosphere‐ocean climate models , 2012 .

[19]  G. Myhre,et al.  New estimates of radiative forcing due to well mixed greenhouse gases , 1998 .

[20]  Piers M. Forster,et al.  Climate Forcings and Climate Sensitivities Diagnosed from Coupled Climate Model Integrations , 2006 .

[21]  J. Murphy Transient Response of the Hadley Centre Coupled Ocean-Atmosphere Model to Increasing Carbon Dioxide. Part III: Analysis of Global-Mean Response Using Simple Models , 1995 .

[22]  Climate sensitivity and climate state , 2003 .