Evaluating Emergent Constraints on Equilibrium Climate Sensitivity

AbstractEmergent constraints are quantities that are observable from current measurements and have skill predicting future climate. This study explores 19 previously proposed emergent constraints related to equilibrium climate sensitivity (ECS; the global-average equilibrium surface temperature response to CO2 doubling). Several constraints are shown to be closely related, emphasizing the importance for careful understanding of proposed constraints. A new method is presented for decomposing correlation between an emergent constraint and ECS into terms related to physical processes and geographical regions. Using this decomposition, one can determine whether the processes and regions explaining correlation with ECS correspond to the physical explanation offered for the constraint. Shortwave cloud feedback is generally found to be the dominant contributor to correlations with ECS because it is the largest source of intermodel spread in ECS. In all cases, correlation results from interaction between a variet...

[1]  H. Fredriksen,et al.  Emergent constraints on climate sensitivity , 2018, Nature.

[2]  P. Cox,et al.  Emergent constraint on equilibrium climate sensitivity from global temperature variability , 2018, Nature.

[3]  S. Klein,et al.  On the Emergent Constraints of Climate Sensitivity , 2018 .

[4]  B. Soden,et al.  WATER VAPOR FEEDBACK AND GLOBAL WARMING , 2018 .

[5]  C. Bretherton,et al.  Variability in modeled cloud feedback tied to differences in the climatological spatial pattern of clouds , 2018, Climate Dynamics.

[6]  G. Hegerl,et al.  Beyond equilibrium climate sensitivity , 2017 .

[7]  G. Tselioudis,et al.  CMIP5 models' shortwave cloud radiative response and climate sensitivity linked to the climatological Hadley cell extent , 2017, Geophysical research letters.

[8]  John F. B. Mitchell,et al.  THE WCRP CMIP 3 MULTIMODEL DATASET A New Era in Climate Change Research , 2017 .

[9]  M. Kimoto,et al.  Lower-Tropospheric Mixing as a Constraint on Cloud Feedback in a Multiparameter Multiphysics Ensemble , 2016 .

[10]  T. Schneider,et al.  Constraints on Climate Sensitivity from Space-Based Measurements of Low-Cloud Reflection , 2016 .

[11]  T. Storelvmo,et al.  On the relationships among cloud cover, mixed‐phase partitioning, and planetary albedo in GCMs , 2016 .

[12]  K. Taylor,et al.  Quantifying the Sources of Intermodel Spread in Equilibrium Climate Sensitivity , 2016 .

[13]  S. Bony,et al.  Shallowness of tropical low clouds as a predictor of climate models’ response to warming , 2016, Climate Dynamics.

[14]  J. Kay,et al.  Global Climate Impacts of Fixing the Southern Ocean Shortwave Radiation Bias in the Community Earth System Model (CESM) , 2015 .

[15]  J. Fasullo,et al.  Reexamining the Relationship between Climate Sensitivity and the Southern Hemisphere Radiation Budget in CMIP Models , 2015 .

[16]  Sarah M. Kang,et al.  The impact of parametrized convection on cloud feedback , 2015, Philosophical Transactions of the Royal Society A: Mathematical, Physical and Engineering Sciences.

[17]  C. Zhai,et al.  Long‐term cloud change imprinted in seasonal cloud variation: More evidence of high climate sensitivity , 2015 .

[18]  S. Klein,et al.  Emergent Constraints for Cloud Feedbacks , 2015, Current Climate Change Reports.

[19]  M. Zelinka,et al.  Mixed‐phase cloud physics and Southern Ocean cloud feedback in climate models , 2015 .

[20]  Benjamin M. Sanderson,et al.  Recent Progress in Constraining Climate Sensitivity With Model Ensembles , 2015, Current Climate Change Reports.

[21]  Reto Knutti,et al.  A Representative Democracy to Reduce Interdependency in a Multimodel Ensemble , 2015 .

[22]  B. Tian Spread of model climate sensitivity linked to double‐Intertropical Convergence Zone bias , 2015 .

[23]  M. Webb,et al.  The Dependence of Radiative Forcing and Feedback on Evolving Patterns of Surface Temperature Change in Climate Models , 2015 .

[24]  M. Webb,et al.  Global‐mean radiative feedbacks and forcing in atmosphere‐only and coupled atmosphere‐ocean climate change experiments , 2014 .

[25]  C. Zhai,et al.  Weakening and strengthening structures in the Hadley Circulation change under global warming and implications for cloud response and climate sensitivity , 2014 .

[26]  B. Santer,et al.  Statistical significance of climate sensitivity predictors obtained by data mining , 2014 .

[27]  C. Bretherton,et al.  Low cloud reduction in a greenhouse‐warmed climate: Results from Lagrangian LES of a subtropical marine cloudiness transition , 2014 .

[28]  Ming Zhao An Investigation of the Connections among Convection, Clouds, and Climate Sensitivity in a Global Climate Model , 2014 .

[29]  D. Battisti,et al.  The dependence of transient climate sensitivity and radiative feedbacks on the spatial pattern of ocean heat uptake , 2014 .

[30]  S. Bony,et al.  Spread in model climate sensitivity traced to atmospheric convective mixing , 2014, Nature.

[31]  S. Klein,et al.  On the spread of changes in marine low cloud cover in climate model simulations of the 21st century , 2014, Climate Dynamics.

[32]  W. Collins,et al.  Evaluation of climate models , 2013 .

[33]  S. Klein,et al.  Low‐cloud optical depth feedback in climate models , 2013 .

[34]  Reto Knutti,et al.  Climate model genealogy: Generation CMIP5 and how we got there , 2013 .

[35]  Yen-Ting Hwang,et al.  Link between the double-Intertropical Convergence Zone problem and cloud biases over the Southern Ocean , 2013, Proceedings of the National Academy of Sciences.

[36]  P. Cox,et al.  Sensitivity of tropical carbon to climate change constrained by carbon dioxide variability , 2013, Nature.

[37]  R. Knutti,et al.  Predictor Screening, Calibration, and Observational Constraints in Climate Model Ensembles: An Illustration Using Climate Sensitivity , 2013 .

[38]  C. Tebaldi,et al.  Long-term Climate Change: Projections, Commitments and Irreversibility , 2013 .

[39]  Cecilia M. Bitz,et al.  Time-Varying Climate Sensitivity from Regional Feedbacks , 2012 .

[40]  K. Trenberth,et al.  A Less Cloudy Future: The Role of Subtropical Subsidence in Climate Sensitivity , 2012, Science.

[41]  S. Klein,et al.  Are climate model simulations of clouds improving? An evaluation using the ISCCP simulator , 2012 .

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

[43]  I. Held,et al.  Using Relative Humidity as a State Variable in Climate Feedback Analysis , 2012 .

[44]  Karl E. Taylor,et al.  An overview of CMIP5 and the experiment design , 2012 .

[45]  Y. Takayabu,et al.  Inter-Model Differences of Future Precipitation Changes in CMIP3 and MIROC5 Climate Models , 2012 .

[46]  Robert Pincus,et al.  On Constraining Estimates of Climate Sensitivity with Present-Day Observations through Model Weighting , 2011 .

[47]  Thomas Reichler,et al.  On the Effective Number of Climate Models , 2011 .

[48]  Benjamin M. Sanderson,et al.  A Multimodel Study of Parametric Uncertainty in Predictions of Climate Response to Rising Greenhouse Gas Concentrations , 2011 .

[49]  J. Fasullo,et al.  Constraints on Climate Sensitivity from Radiation Patterns in Climate Models , 2011 .

[50]  W. Landman Climate change 2007: the physical science basis , 2010 .

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

[52]  K. Trenberth,et al.  Simulation of Present-Day and Twenty-First-Century Energy Budgets of the Southern Oceans , 2010 .

[53]  Reto Knutti,et al.  The end of model democracy? , 2010 .

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

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

[56]  Sandrine Bony,et al.  An Assessment of the Primary Sources of Spread of Global Warming Estimates from Coupled Atmosphere–Ocean Models , 2008 .

[57]  V. Eyring,et al.  Quantitative performance metrics for stratospheric-resolving chemistry-climate models , 2008 .

[58]  Brian J. Soden,et al.  Quantifying Climate Feedbacks Using Radiative Kernels , 2008 .

[59]  E. M. Volodin Relation between temperature sensitivity to doubled carbon dioxide and the distribution of clouds in current climate models , 2008 .

[60]  Karen M. Shell,et al.  Using the Radiative Kernel Technique to Calculate Climate Feedbacks in NCAR's Community Atmospheric Model , 2008 .

[61]  Charles Doutriaux,et al.  Performance metrics for climate models , 2008 .

[62]  John F. B. Mitchell,et al.  THE WCRP CMIP3 Multimodel Dataset: A New Era in Climate Change Research , 2007 .

[63]  D. Randall,et al.  Climate models and their evaluation , 2007 .

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

[65]  B. Soden,et al.  Robust Responses of the Hydrological Cycle to Global Warming , 2006 .

[66]  G. Meehl,et al.  Constraining Climate Sensitivity from the Seasonal Cycle in Surface Temperature , 2006 .

[67]  S. Bony,et al.  How Well Do We Understand and Evaluate Climate Change Feedback Processes , 2006 .

[68]  B. Soden,et al.  An Assessment of Climate Feedbacks in Coupled Ocean–Atmosphere Models , 2006 .

[69]  J. Shukla,et al.  Climate model fidelity and projections of climate change , 2006 .

[70]  A. Hall,et al.  Using the current seasonal cycle to constrain snow albedo feedback in future climate change , 2006 .

[71]  S. Bony,et al.  Marine boundary layer clouds at the heart of tropical cloud feedback uncertainties in climate models , 2005 .

[72]  Anthony J. Broccoli,et al.  On the Use of Cloud Forcing to Estimate Cloud Feedback , 2004 .

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

[74]  G. Meehl,et al.  The seasonal cycle in coupled ocean-atmosphere general circulation models , 2000 .