Past warming trend constrains future warming in CMIP6 models

Strong future warming in some new climate models is less likely as their recent warming is inconsistent with observed trends. Future global warming estimates have been similar across past assessments, but several climate models of the latest Sixth Coupled Model Intercomparison Project (CMIP6) simulate much stronger warming, apparently inconsistent with past assessments. Here, we show that projected future warming is correlated with the simulated warming trend during recent decades across CMIP5 and CMIP6 models, enabling us to constrain future warming based on consistency with the observed warming. These findings carry important policy-relevant implications: The observationally constrained CMIP6 median warming in high emissions and ambitious mitigation scenarios is over 16 and 14% lower by 2050 compared to the raw CMIP6 median, respectively, and over 14 and 8% lower by 2090, relative to 1995–2014. Observationally constrained CMIP6 warming is consistent with previous assessments based on CMIP5 models, and in an ambitious mitigation scenario, the likely range is consistent with reaching the Paris Agreement target.

[1]  Christopher J. Smith,et al.  Latest climate models confirm need for urgent mitigation , 2019, Nature Climate Change.

[2]  A. J. Hewitt,et al.  UKESM1: Description and Evaluation of the U.K. Earth System Model , 2019, Journal of Advances in Modeling Earth Systems.

[3]  Martin B. Stolpe,et al.  Recommended temperature metrics for carbon budget estimates, model evaluation and climate policy , 2019, Nature Geoscience.

[4]  Shian-Jiann Lin,et al.  Structure and Performance of GFDL's CM4.0 Climate Model , 2019, Journal of Advances in Modeling Earth Systems.

[5]  T. Mauritsen,et al.  Emergent constraints on Earth’s transient and equilibrium response to doubled CO2 from post-1970s global warming , 2019, Nature Geoscience.

[6]  Stefan Reimann,et al.  The SSP greenhouse gas concentrations and their extensions to 2500 , 2019 .

[7]  J. Kennedy,et al.  An Ensemble Data Set of Sea Surface Temperature Change From 1850: The Met Office Hadley Centre HadSST.4.0.0.0 Data Set , 2019, Journal of Geophysical Research: Atmospheres.

[8]  F. Otto,et al.  A Limited Role for Unforced Internal Variability in Twentieth-Century Warming , 2019, Journal of Climate.

[9]  Philip W. Jones,et al.  The DOE E3SM Coupled Model Version 1: Overview and Evaluation at Standard Resolution , 2019, Journal of Advances in Modeling Earth Systems.

[10]  Nathan Lenssen,et al.  Improvements in the GISTEMP Uncertainty Model , 2019, Journal of Geophysical Research: Atmospheres.

[11]  Philip G. Sansom,et al.  How Are Emergent Constraints Quantifying Uncertainty and What Do They Leave Behind? , 2019, Bulletin of the American Meteorological Society.

[12]  Pierre De Mey-Frémaux,et al.  Physical-biogeochemical regional ocean model uncertainties stemming from stochastic parameterizations and potential impact on data assimilation , 2019 .

[13]  M. Collins,et al.  Global Mean Surface Temperature Response to Large‐Scale Patterns of Variability in Observations and CMIP5 , 2019, Geophysical Research Letters.

[14]  J. Hansen,et al.  Improvements in the uncertainty model in the Goddard Institute for Space Studies Surface Temperature (GISTEMP) analysis , 2019 .

[15]  B. Timbal,et al.  The impact of global warming on sea surface temperature based El Niño–Southern Oscillation monitoring indices , 2018, International Journal of Climatology.

[16]  R. Sutton ESD Ideas: a simple proposal to improve the contribution of IPCC WGI to the assessment and communication of climate change risks , 2018, Earth System Dynamics.

[17]  Estimating the Transient Climate Response from Observed Warming , 2018, Journal of Climate.

[18]  Qiang Fu,et al.  Human influence on the seasonal cycle of tropospheric temperature , 2018, Science.

[19]  Christopher J. Smith,et al.  FAIR v1.3: a simple emissions-based impulse response and carbon cycle model , 2018, Geoscientific Model Development.

[20]  S. Klein,et al.  Evaluating Emergent Constraints on Equilibrium Climate Sensitivity , 2018 .

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

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

[23]  Thomas M. Smith,et al.  Extended Reconstructed Sea Surface Temperature, Version 5 (ERSSTv5): Upgrades, Validations, and Intercomparisons , 2017 .

[24]  Spencer A. Hill,et al.  Change in the magnitude and mechanisms of global temperature variability with warming , 2017, Nature climate change.

[25]  Bin Zhao,et al.  The Modern-Era Retrospective Analysis for Research and Applications, Version 2 (MERRA-2). , 2017, Journal of climate.

[26]  Reto Knutti,et al.  Reconciling controversies about the ‘global warming hiatus’ , 2017, Nature.

[27]  K. Armour Energy budget constraints on climate sensitivity in light of inconstant climate feedbacks , 2017 .

[28]  G. Myhre,et al.  Radiative forcing of carbon dioxide, methane, and nitrous oxide: A significant revision of the methane radiative forcing , 2016 .

[29]  Michel Rixen,et al.  The Decadal Climate Prediction Project (DCPP) contribution to CMIP6 , 2016 .

[30]  F. Joos,et al.  Transient Earth system responses to cumulative carbon dioxide emissions: linearities, uncertainties, and probabilities in an observation-constrained model ensemble , 2016 .

[31]  Veronika Eyring,et al.  Overview of the Coupled Model Intercomparison Project Phase 6 (CMIP6) experimental design and organization , 2015 .

[32]  Chris Hope,et al.  The $10 trillion value of better information about the transient climate response , 2015, Philosophical Transactions of the Royal Society A: Mathematical, Physical and Engineering Sciences.

[33]  Reto Knutti,et al.  Feedbacks, climate sensitivity and the limits of linear models , 2015, Philosophical Transactions of the Royal Society A: Mathematical, Physical and Engineering Sciences.

[34]  Martin B. Stolpe,et al.  Robust comparison of climate models with observations using blended land air and ocean sea surface temperatures , 2015 .

[35]  M. England,et al.  Robust warming projections despite the recent hiatus , 2015 .

[36]  C. Kobayashi,et al.  The JRA-55 Reanalysis: General Specifications and Basic Characteristics , 2015 .

[37]  R. Knutti,et al.  Natural variability, radiative forcing and climate response in the recent hiatus reconciled , 2014 .

[38]  K. Cowtan,et al.  Coverage bias in the HadCRUT4 temperature series and its impact on recent temperature trends , 2014 .

[39]  M. Mann,et al.  On forced temperature changes, internal variability, and the AMO , 2014 .

[40]  Masayoshi Ishii,et al.  Centennial-Scale Sea Surface Temperature Analysis and Its Uncertainty , 2014 .

[41]  T. Stocker,et al.  Climate Change 2013: The Physical Science Basis. An overview of the Working Group 1 contribution to the Fifth Assessment Report of the Intergovernmental Panel on Climate Change (IPCC). , 2013 .

[42]  Yu Kosaka,et al.  Recent global-warming hiatus tied to equatorial Pacific surface cooling , 2013, Nature.

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

[44]  T. Andrews,et al.  Evaluating adjusted forcing and model spread for historical and future scenarios in the CMIP5 generation of climate models , 2013 .

[45]  Arthur H. Rosenfeld,et al.  A New Estimate of the AverageEarth Surface Land TemperatureSpanning 1753 to 2011 , 2013 .

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

[47]  Arthur H. Rosenfeld,et al.  A New Estimate of the AverageEarth Surface Land TemperatureSpanning 1753 to 2011 , 2013 .

[48]  K. Calvin,et al.  The RCP greenhouse gas concentrations and their extensions from 1765 to 2300 , 2011 .

[49]  Stefan Rahmstorf,et al.  Global temperature evolution 1979–2010 , 2011 .

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

[51]  Richard J. Smith Use and misuse of the reduced major axis for line-fitting. , 2009, American journal of physical anthropology.

[52]  Pierre Friedlingstein,et al.  A Review of Uncertainties in Global Temperature Projections over the Twenty-First Century , 2008 .

[53]  Jeffrey T. Kiehl,et al.  Twentieth century climate model response and climate sensitivity , 2007 .

[54]  Reto Knutti,et al.  The use of the multi-model ensemble in probabilistic climate projections , 2007, Philosophical Transactions of the Royal Society A: Mathematical, Physical and Engineering Sciences.

[55]  T. Wilbanks,et al.  Contribution of Working Group II to the Fourth Assessment Report of the Intergovernmental Panel on Climate Change , 2007 .

[56]  Reto Knutti,et al.  Probabilistic climate change projections for CO2 stabilization profiles , 2005 .

[57]  P. Stott,et al.  Origins and estimates of uncertainty in predictions of twenty-first century temperature rise , 2002, Nature.