Feedbacks, climate sensitivity and the limits of linear models

Philosophical Transactions of the Royal Society A: Mathematical, Physical and Engineering Sciences

Volumn 373, Issue 2054, 2015, Pages

  Knutti, Reto ^a   Rugenstein, Maria A A ^a  

^a ETH Zurich   (Switzerland)

Author keywords

Climate sensitivity; Energy balance model; Feedbacks

Indexed keywords

FEEDBACK;

CLIMATE RESEARCH; CLIMATE SENSITIVITY; CLIMATE SYSTEM; ENERGY BALANCE MODELS; FEEDBACK PARAMETERS; FORMAL FRAMEWORK; GLOBAL RESPONSE; LINEAR FORCING;

CLIMATE MODELS;

EID: 84943797445     PISSN: 1364503X     EISSN: None     Source Type: Journal    
DOI: 10.1098/rsta.2015.0146     Document Type: Review

References (126)

1. Roe G. 2009 Feedbacks, timescales, and seeing red. Annu. Rev. Earth Planet. Sci. 37, 93-115. (doi:10.1146/annurev.earth.061008.134734)
2. IPCC. 2007 Climate change 2007: the physical science basis. Contribution of working group I to the fourth assessment report of the intergovernmental panel on climate change. Cambridge, UK: Cambridge University Press.
3. Knutti R, Hegerl GC. 2008 The equilibrium sensitivity of the Earth's temperature to radiation changes. Nat. Geosci. 1, 735-743. (doi:10.1038/ngeo337)
4. Knutti R, Rogelj J. In press. The legacy of our CO2 emissions: a clash of scientific facts, politics and ethics. Clim. Change. (doi:10.1007/s10584-015-1340-3)
5. Moss RH et al. 2010 The next generation of scenarios for climate change research and assessment. Nature 463, 747-756. (doi:10.1038/nature08823)
6. Previdi M et al. 2013 Climate sensitivity in the Anthropocene. Q. J. Royal Meteorol. Soc. 139, 1121-1131. (doi:10.1002/qj.2165)
7. Knutti R et al. 2008 A review of uncertainties in global temperature projections over the twenty-first century. J. Clim. 21, 2651-2663. (doi:10.1175/2007jcli2119.1)
8. Tebaldi C, Arblaster JM. 2014 Pattern scaling: Its strengths and limitations, and an update on the latest model simulations. Clim. Change 122, 459-471. (doi:10.1007/s10584-013-1032-9)
9. Herger N, Sanderson BM, Knutti R. 2015 Improved pattern scaling approaches for the use in climate impact studies. Geophys. Res. Lett. 42, 3486-3494. (doi:10.1002/2015GL063569)
10. Huber M, Knutti R. 2012 Anthropogenic and natural warming inferred from changes in Earth's energy balance. Nat. Geosci. 5, 31-36. (doi:10.1038/ngeo1327)
11. Knutti R, Stocker TF, Joos F, Plattner G-K. 2002 Constraints on radiative forcing and future climate change from observations and climate model ensembles. Nature 416, 719-723. (doi:10.1038/416719a)
12. Forest CE, Stone PH, Sokolov AP, Allen MR, Webster MD. 2002 Quantifying uncertainties in climate system properties with the use of recent climate observations. Science 295, 113-117. (doi:10.1126/science.1064419)
13. Andronova NG, Schlesinger ME. 2001 Objective estimation of the probability density function for climate sensitivity. J. Geophys. Res. 106, 22 605-22 612. (doi:10.1029/ 2000JD000259)
14. Frame D, Booth B, Kettleborough J, Stainforth D, Gregory J, Collins M, Allen M. 2005 Constraining climate forecasts: the role of prior assumptions. Geophys. Res. Lett. 32, L09702. (doi:10.1029/2004GL022241)
15. Forster PMD, Gregory JM. 2006 The climate sensitivity and its components diagnosed from Earth radiation budget data. J. Clim. 19, 39-52. (doi:10.1175/JCLI3611.1)
16. Gregory JM, Stouffer RJ, Raper SCB, Stott PA, Rayner NA. 2002 An observationally based estimate of the climate sensitivity. J. Clim. 15, 3117-3121. (doi:10.1175/ 1520-0442(2002)015<3117:AOBEOT>2.0.CO;2)
17. Aldrin M, Holden M, Guttorp P, Skeie RB, Myhre G, Berntsen TK. 2012 Bayesian estimation of climate sensitivity based on a simple climate model fitted to observations of hemispheric temperatures and global ocean heat content. Environmetrics 23, 253-271. (doi:10.1002/env.2140)
18. Otto A et al. 2013 Energy budget constraints on climate response. Nat. Geosci. 6, 415-416. (doi:10.1038/ngeo1836)
19. Lewis N. 2013 An objective Bayesian improved approach for applying optimal fingerprint techniques to estimate climate sensitivity. J. Clim. 26, 7414-7429. (doi:10.1175/ JCLI-D-12-00473.1)
20. Skeie RB, Berntsen T, Aldrin M, Holden M, Myhre G. 2014 A lower and more constrained estimate of climate sensitivity using updated observations and detailed radiative forcing time series. Earth Syst. Dyn. 5, 139-175. (doi:10.5194/esd-5-139-2014)
21. Lewis N, Curry JA. 2015 The implications for climate sensitivity of AR5 forcing and heat uptake estimates. Clim. Dyn. 45, 1009-1023. (doi:10.1007/s00382-014-2342-y)
22. Johansson DJA, O'Neill BC, Tebaldi C, Haggstrom O. 2015 Equilibrium climate sensitivity in light of observations over the warming hiatus. Nat. Clim. Change 5, 449-453. (doi:10.1038/nclimate2573)
23. Knutti R, Tomassini L. 2008 Constraints on the transient climate response from observed global temperature and ocean heat uptake. Geophys. Res. Lett. 35, L09701. (doi:10.1029/2007GL032904)
24. Tomassini L, Reichert P, Knutti R, Stocker TF, Borsuk ME. 2007 Robust Bayesian uncertainty analysis of climate system properties using Markov chain Monte Carlo methods. J. Clim. 20, 1239-1254. (doi:10.1175/jCLI4064.1)
25. Allen MR, Frame DJ, Huntingford C, Jones CD, Lowe JA, Meinshausen M, Meinshausen N. 2009 Warming caused by cumulative carbon emissions towards the trillionth tonne. Nature 458, 1163-1166. (doi:10.1038/nature08019)
26. Knutti R, Stocker TF, Joos F, Plattner G-K. 2003 Probabilistic climate change projections using neural networks. Clim. Dyn. 21, 257-272. (doi:10.1007/s00382-003-0345-1)
27. Rogelj J, Meinshausen M, Knutti R. 2012 Global warming under old and new scenarios using IPCC climate sensitivity range estimates. Nat. Clim. Change 2, 248-253. (doi:10.1038/NCLIMATE1385)
28. Sokolov AP et al. 2009 Probabilistic forecast for twenty-first-century climate based on uncertainties in emissions (without policy) and climate parameters. J. Clim. 23, 2230-2231. (doi:10.1175/2009JCLI3566.1)
29. Tomassini L, Knutti R, Plattner GK, van Vuuren DP, Stocker TF, Howarth RB, Borsuk ME. 2010 Uncertainty and risk in climate projections for the 21st century: comparing mitigation to non-intervention scenarios. Clim. Change 103, 399-422. (doi:10.1007/s10584-009-9763-3)
30. Rogelj J, Meinshausen M, Sedlacek J, Knutti R. 2014 Implications of potentially lower climate sensitivity on climate projections and policy. Environ. Res. Lett. 9, 031003. (doi:10.1088/ 1748-9326/9/3/031003)
31. Meinshausen M, Meinshausen N, Hare W, Raper S, Frieler K, Knutti R, Frame D, Allen M. 2009 Greenhouse-gas emission targets for limiting global warming to 2°C. Nature 458, 1158-1162. (doi:10.1038/nature08017)
32. Stott PA, Kettleborough JA. 2002 Origins and estimates of uncertainty in predictions of twenty-first century temperature rise. Nature 416, 723-726. (doi:10.1038/416723a)
33. Boer GJ, Stowasser M, Hamilton K. 2007 Inferring climate sensitivity from volcanic events. Clim. Dyn. 28, 481-502. (doi:10.1007/s00382-006-0193-x)
34. Wigley TML, Ammann CM, Santer BD, Raper SCB. 2005 Effect of climate sensitivity on the response to volcanic forcing. J. Geophys. Res. 110, D09107. (doi:10.1029/2004JD005557)
35. Yokohata T, Emori S, Nozawa T, Tsushima Y, Ogura T, Kimoto M. 2005 Climate response to volcanic forcing: validation of climate sensitivity of a coupled atmosphere-ocean general circulation model. Geophys. Res. Lett. 32, L21710. (doi:10.1029/2005GL023542)
36. Soden BJ, Wetherald RT, Stenchikov GL, Robock A. 2002 Global cooling after the eruption of Mount Pinatubo: a test of climate feedback by water vapor. Science 296, 727-730. (doi:10.1126/science.296.5568.727)
37. Dessler AE. 2010 A determination of the cloud feedback from climate variations over the past decade. Science 330, 1523-1527. (doi:10.1126/science.1192546)
38. Hegerl G, Crowley T, Hyde W, Frame D. 2006 Climate sensitivity constrained by temperature reconstructions over the past seven centuries. Nature 440, 1029-1032. (doi:10.1038/nature04679)
39. Knutti R, Meehl GA, Allen MR, Stainforth DA. 2006 Constraining climate sensitivity from the seasonal cycle in surface temperature. J. Clim. 19, 4224-4233. (doi:10.1175/JCLI3865.1)
40. Masson-Delmotte V et al. 2006 Past and future polar amplification of climate change: climate model intercomparisons and ice-core constraints. Clim. Dyn. 26, 513-529. (doi:10.1007/ s00382-005-0081-9)
41. Schneider von Deimling T, Held H, Ganopolski A, Rahmstorf S. 2006 Climate sensitivity estimated from ensemble simulations of glacial climate. Clim. Dyn. 27, 149-163. (doi:10.1007/s00382-006-0126-8)
42. Hargreaves JC, Abe-Ouchi A, Annan JD. 2007 Linking glacial and future climates through an ensemble of GCM simulations. Clim. Past 3, 77-87. (doi:10.5194/cp-3-77-2007)
43. Hargreaves JC, Annan JD, Yoshimori M, Abe-Ouchi A. 2012 Can the last glacial maximum constrain climate sensitivity? Geophys. Res. Lett. 39, L24702. (doi:10.1029/2012gl053872)
44. Braconnot P, Harrison SP, Kageyama M, Bartlein PJ, Masson-Delmotte V, Abe-Ouchi A, Otto-Bliesner B, Zhao Y. 2012 Evaluation of climate models using palaeoclimatic data. Nat. Clim. Change 2, 417-424. (doi:10.1038/Nclimate1456)
45. Schmidt GA et al. 2014 Using palaeo-climate comparisons to constrain future projections in CMIP5. Clim. Past 10, 221-250. (doi:10.5194/cp-10-221-2014)
46. Rohling E, Members PP. 2012 Making sense of palaeoclimate sensitivity. Nature 491, 683-691. (doi:10.1038/nature11574)
47. Caballero R, Huber M. 2013 State-dependent climate sensitivity in past warm climates and its implications for future climate projections. Proc. Natl Acad. Sci. USA 110, 14 162-14 167. (doi:10.1073/pnas.1303365110)
48. Kohler P, Bintanja R, Fischer H, Joos F, Knutti R, Lohmann G, Masson-Delmotte V. 2010 What caused Earth's temperature variations during the last 800, 000 years? Data-based evidence on radiative forcing and constraints on climate sensitivity. Quat. Sci. Rev. 29, 129-145. (doi:10.1016/j.quascirev.2009.09.026)
49. Martinez-Boti MA, Foster GL, Chalk TB, Rohling EJ, Sexton PF, Lunt DJ, Pancost RD, Badger MPS, Schmidt DN. 2015 Plio-Pleistocene climate sensitivity evaluated using high-resolution CO2 records. Nature 518, 49-54. (doi:10.1038/nature14145)
50. Andrews T, Gregory JM, Webb MJ. 2015 The dependence of radiative forcing and feedback on evolving patterns of surface temperature change in climatemodels. J. Clim. 28, 1630-1648. (doi:10.1175/JCLI-D-14-00545.1)
51. Andrews T, Gregory JM, Webb MJ, Taylor KE. 2012 Forcing, feedbacks and climate sensitivity in CMIP5 coupled atmosphere-ocean climate models. Geophys. Res. Lett. 39. (doi:10.1029/2012gl051607)
52. Bony S et al. 2006 How well do we understand and evaluate climate change feedback processes? J. Clim. 19, 3445-3482. (doi:10.1175/JCLI3819.1)
53. Vial J, Dufresne J-L, Bony S. 2013 On the interpretation of inter-model spread in CMIP5 climate sensitivity estimates. Clim. Dyn. 41, 3339-3362. (doi:10.1007/s00382-013- 1725-9)
54. Sherwood SC, Bony S, Dufresne JL. 2014 Spread in model climate sensitivity traced to atmospheric convective mixing. Nature 505, 37-43. (doi:10.1038/nature12829)
55. Fasullo JT, Trenberth KE. 2012 A less cloudy future: the role of subtropical subsidence in climate sensitivity. Science 338, 792-794. (doi:10.1126/science.1227465)
56. Huber M, Mahlstein I, Wild M, Fasullo J, Knutti R. 2011 Constraints on climate sensitivity from radiation patterns in climate models. J. Clim. 24, 1034-1052. (doi:10.1175/2010JCLI 3403.1)
57. Sanderson BM, Knutti R, Caldwell PM. 2015 Addressing interdependency in a multimodel ensemble by interpolation of model properties. J. Clim. 28, 5150-5170. (doi:10.1175/ JCLI-D-14-00361.1)
58. Zaliapin I, Ghil M. 2010 Another look at climate sensitivity. Nonlinear Process. Geophys. 17, 113-122. (doi:10.5194/npg-17-113-2010)
59. Soden BJ, Held IM. 2006 An assessment of climate feedbacks in coupled ocean-atmosphere models. J. Clim. 19, 3354-3360. (doi:10.1175/JCLI3799.1)
60. Klocke D, Quaas J, Stevens B. 2013 Assessment of different metrics for physical climate feedbacks. Clim. Dyn. 41, 1173-1185. (doi:10.1007/s00382-013-1757-1)
61. Roe GH, Feldl N, Armour KC, Hwang YT, Frierson DMW. 2015 The remote impacts of climate feedbacks on regional climate predictability. Nat. Geosci. 8, 135-139. (doi:10.1038/ngeo2346)
62. Armour KC, Bitz CM, Roe GH. 2013 Time-varying climate sensitivity from regional feedbacks. J. Clim. 26, 4518-4534. (doi:10.1175/JCLI-D-12-00544.1)
63. Feldl N, Roe GH. 2013 The nonlinear and nonlocal nature of climate feedbacks. J. Clim. 26, 8289-8304. (doi:10.1175/JCLI-D-12-00631.1)
64. Gregory JM, Ingram WJ, Palmer MA, Jones GS, Stott PA, Thorpe RB, Lowe JA, Johns TC, Williams KD. 2004 A new method for diagnosing radiative forcing and climate sensitivity. Geophys. Res. Lett. 31, L03205. (doi:10.1029/2003GL018747)
65. Meehl GA, Washington WM, Collins WD, Arblaster JM, Hu A, Buja LE, Strand WG, Teng H. 2005 How much more global warming and sea level rise? Science 307, 1769-1772. (doi:10.1126/science.1106663)
66. Hansen J et al. 2005 Earth's energy imbalance: confirmation and implications. Science 308, 1431-1435. (doi:10.1126/science.1110252)
67. Roe GH, Baker MB. 2007 Why is climate sensitivity so unpredictable? Science 318, 629-632. (doi:10.1126/science.1144735)
68. Knutti R, Joos F, Müller S, Plattner G, Stocker T. 2005 Probabilistic climate change projections for CO2 stabilization profiles. Geophys. Res. Lett. 32, L20707. (doi:10.1029/2005GL023294)
69. Caldeira K, Myhrvold NP. 2013 Projections of the pace of warming following an abrupt increase in atmospheric carbon dioxide concentration. Environ. Res. Lett. 8, 034039. (doi:10.1088/1748-9326/8/3/034039)
70. Good P, Gregory JM, Lowe JA. 2011 A step-response simple climate model to reconstruct and interpret AOGCM projections. Geophys. Res. Lett. 38, FPAGEL01703. (doi:10.1029/2010gl045208)
71. Good P, Gregory JM, Lowe JA, Andrews T. 2013 Abrupt CO2 experiments as tools for predicting and understanding CMIP5 representative concentration pathway projections. Clim. Dyn. 40, 1041-1053. (doi:10.1007/s00382-012-1410-4)
72. Geoffroy O, Saint-Martin D, Olivie DJL, Voldoire A, Bellon G, Tyteca S. 2013 Transient climate response in a two-layer energy-balance model. Part I: analytical solution and parameter calibration using CMIP5 AOGCM experiments. J. Clim. 26, 1841-1857. (doi:10.1175/JCLI-D-12-00195.1)
73. Geoffroy O, Saint-Martin D, Bellon G, Voldoire A, Olivie DJL, Tyteca S. 2013 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. J. Clim. 26, 1859-1876. (doi:10.1175/JCLI-D-12-00196.1)
74. Gent PR et al. 2011 The community climate system model version 4. J. Clim. 24, 4973-4991. (doi:10.1175/2011JCLI4083.1)
75. Bitz CM, Shell KM, Gent PR, Bailey DA, Danabasoglu G, Armour KC, Holland MM, Kiehl JT. 2012 Climate sensitivity of the community climate system model, version 4. J. Clim. 25, 3053-3070. (doi:10.1175/Jcli-D-11-00290.1)
76. Danabasoglu G, Bates SC, Briegleb BP, Jayne SR, Jochum M, Large WG, Peacock S, Yeager SG. 2012 The CCSM4 ocean component. J. Clim. 25, 1361-1389. (doi:10.1175/ Jcli-D-11-00091.1)
77. Good P et al. 2015 Nonlinear regional warming with increasing CO2 concentrations. Nat. Clim. Change 5, 138-142. (doi:10.1038/nclimate2498)
78. Opsteegh JD, Haarsma RJ, Selten FM, Kattenberg A. 1998 ECBILT: a dynamic alternative to mixed boundary conditions in ocean models. Tellus 50A, 348-367. (doi:10.1034/ j.1600-0870.1998.t01-1-00007.x)
79. Goosse H, Fichefet T. 1999 Importance of ice-ocean interactions for the global ocean circulation: a model study. J. Geophys. Res. 104, 23 337-23 355. (doi:10.1029/1999JC900215)
80. MacKay RM, Ko MKW. 1997 Normalmodes and the transient response of the climate system. Geophys. Res. Lett. 24, 559-562. (doi:10.1029/97gl00286)
81. Stouffer R. 2004 Time scales of climate response. J. Clim. 17, 209-217. (doi:10.1175/ 1520-0442(2004)017<0209:TSOCR>2.0.CO;2)
82. Stouffer RJ, Russell J, Spelman MJ. 2006 Importance of oceanic heat uptake in transient climate change. Geophys. Res. Lett. 33, L17704. (doi:10.1029/2006gl027242)
83. Knutti R, Stocker TF. 2000 Influence of the thermohaline circulation on projected sea level rise. J. Clim. 13, 1997-2001. (doi:10.1175/1520-0442(2000)013<1997:IOTTCO>2.0.CO;2)
84. Lambert FH, Faull NE. 2007 Tropospheric adjustment: the response of two general circulation models to a change in insolation. Geophys. Res. Lett. 34, L03701. (doi:10.1029/2006gl028124)
85. Bala G, Caldeira K, Nemani R. 2010 Fast versus slow response in climate change: Implications for the global hydrological cycle. Clim. Dyn. 35, 423-434. (doi:10.1007/s00382-009-0583-y)
86. Andrews T, Forster PM. 2008 CO2 forcing induces semi-direct effects with consequences for climate feedback interpretations. Geophys. Res. Lett. 35, L04802. (doi:10.1029/2007GL032273)
87. Sherwood SC, Bony S, Boucher O, Bretherton C, Forster PM, Gregory JM, Stevens B. 2014 Adjustments in the forcing-feedback framework for understanding climate change. Bull. Am. Meteorol. Soc. 96, 217-228. (doi:10.1175/BAMS-D-13-00167.1)
88. Williams KD, Ingram WJ, Gregory JM. 2008 Time variation of effective climate sensitivity in GCMs. J. Clim. 21, 5076-5090. (doi:10.1175/2008jcli2371.1)
89. Winton M, Anderson WG, Delworth TL, Griffies SM, Hurlin WJ, Rosati A. 2014 Has coarse ocean resolution biased simulations of transient climate sensitivity? Geophys. Res. Lett. 41, 8522-8529. (doi:10.1002/2014gl061523)
90. Hansen J et al. 2005 Efficacy of climate forcings. J. Geophys. Res. 110, D18104. (doi:10.1029/ 2005JD005776)
91. Winton M, Takahashi K, Held IM. 2010 Importance of ocean heat uptake efficacy to transient climate change. J. Clim. 23, 2333-2344. (doi:10.1175/2009jcli3139.1)
92. Senior CA, Mitchell JFB. 2000 The time-dependence of climate sensitivity. Geophys. Res. Lett. 27, 2685-2688. (doi:10.1029/2000GL011373)
93. Meraner K, Mauritsen T, Voigt A. 2013 Robust increase in equilibrium climate sensitivity under global warming. Geophys. Res. Lett. 40, 5944-5948. (doi:10.1002/2013gl058118)
94. Colman R, McAvaney B. 2009 Climate feedbacks under a very broad range of forcing. Geophys. Res. Lett. 36, L01702. (doi:10.1029/2008GL036268)
95. Jonko AK, Shell KM, Sanderson BM, Danabasoglu G. 2012 Climate feedbacks in CCSM3 under changing CO2 forcing. Part I: Adapting the linear radiative kernel technique to feedback calculations for a broad range of forcings. J. Clim. 25, 5260-5272. (doi:10.1175/Jcli-D-11-00524.1)
96. Jonko AK, Shell KM, Sanderson BM, Danabasoglu G. 2013 Climate feedbacks in CCSM3 under changing CO2 forcing. Part II: variation of climate feedbacks and sensitivity with forcing. J. Clim. 26, 2784-2795. (doi:10.1175/Jcli-D-12-00479.1)
97. Zeebe RE. 2013 Time-dependent climate sensitivity and the legacy of anthropogenic greenhouse gas emissions. Proc. Natl Acad. Sci. USA 110, 13 739-13 744. (doi:10.1073/pnas. 1222843110)
98. von der Heydt AS, Köhler P, van de Wal RSW, Dijkstra HA. 2014 On the state dependency of fast feedback processes in (paleo) climate sensitivity. Geophys. Res. Lett. 41, 6484-6492. (doi:10.1002/2014GL061121)
99. Danabasoglu G, Gent P. 2009 Equilibrium climate sensitivity: Is it accurate to use a slab ocean model? J. Clim. 22, 2494-2499. (doi:10.1175/2008JCLI2596.1)
100. Boer GJ, Yu B. 2003 Dynamical aspects of climate sensitivity. Geophys. Res. Lett. 30, 1135. (doi:10.1029/2002GL016549)
101. Gregory JM, Andrews T, Good P. 2015 The inconstancy of the transient climate response parameter under increasing CO2. Phil. Trans. R. Soc. A 373, 20140417. (doi:10.1098/rsta.2014.0417)
102. Bloomfield SD, Updegrove DA. 1981 Modeling for insight, not numbers. New Dir. Higher Educ. 93-104. (doi:10.1002/he.36919813509)
103. Held IM. 2005 The gap between simulation and understanding in climate modeling. Bull. Am. Meteorol. Soc. 80, 1609-1614. (doi:10.1175/BAMS-86-11-1609)
104. Allen MR et al. 2006 Observational constraints on climate sensitivity. In Avoiding dangerous climate change (eds HJ Schellnhuber, W Cramer, N Nakicenovic, T Wigley, G Yohe), pp. 281- 289. Cambridge, UK: Cambridge University Press.
105. Wigley TML, Raper SCB. 1990 Natural variability of the climate system and detection of the greenhouse effect. Nature 344, 324-327. (doi:10.1038/344324a0)
106. Wigley TML, Schlesinger ME. 1985 Analytical solution for the effect of increasing CO2 on global mean temperature. Nature 315, 649-652. (doi:10.1038/315649a0)
107. Siegenthaler U, Oeschger H. 1984 Transient temperature changes due to increasing CO2 using simple models. Ann. Glaciol. 5, 153-159.
108. Schlesinger M. 1986 Equilibrium and transient climatic warming induced by increased atmospheric CO2. Clim. Dyn. 1, 35-51. (doi:10.1007/BF01277045)
109. Hansen J, Russell G, Lacis A, Fung I, Rind D, Stone P. 1985 Climate response-times: dependence on climate sensitivity and ocean mixing. Science 229, 857-859. (doi:10.1126/ science.229.4716.857)
110. Hansen J, Lacis A, Rind D, Russell GL, Stone P, Fung I, Ruedy R, Lerner J 1984 Climate sensitivity: analysis of feedback mechanisms. In Climate processes and climate sensitivity (eds J Hansen, T Takahashi), pp. 130-163. Washington, DC: American Geophysical Union.
111. Manabe S, Wetherald RT. 1967 Thermal equilibrium of the atmosphere with a given distribution of relative humidity. J. Atmos. Sci. 50, 241-259. (doi:10.1175/1520-0469(1967) 024<0241:TEOTAW>2.0.CO;2)
112. Budyko MI. 1969 The effect of solar radiation variations on the climate of the earth. Tellus 21, 611-619. (doi:10.1111/j.2153-3490.1969.tb00466.x)
113. Sellers WD. 1969 A global climatic model based on the energy balance of the earth-atmosphere system. J. Appl. Meteorol. 8, 392-400. (doi:10.1175/1520-0450(1969)008< 0392:AGCMBO>2.0.CO;2)
114. North GR, Cahalan RF, Coakley JA. 1981 Energy balance climate models. Rev. Geophys. Space Phys. 19, 91-121. (doi:10.1029/RG019i001p00091)
115. Bouttes N, Gregory JM, Lowe JA. 2013 The reversibility of sea level rise. J. Clim. 26, 2502-2513. (doi:10.1175/JCLI-D-12-00285.1).
116. Charney JG 1979 Carbon dioxide and climate: a scientific assessment, 22 p. Washington, DC: National Academy of Science.
117. Cess RD et al. 1989 Interpretation of cloud-climate feedback as produced by 14 atmospheric general-circulation models. Science 245, 513-516. (doi:10.1126/science.245.4917.513)
118. Bony S, Dufresne JL. 2005 Marine boundary layer clouds at the heart of tropical cloud feedback uncertainties in climate models. Geophys. Res. Lett. 32, L20806. (doi:10.1029/ 2005gl023851)
119. Bony S et al. 2015 Clouds, circulation and climate sensitivity. Nat. Geosci. 8, 261-268. (doi:10.1038/Ngeo2398)
120. Stevens B, Bony S. 2013 What are climate models missing? Science 340, 1053-1054. (doi:10.1126/science.1237554)
121. Knutti R, Sedláček J. 2013 Robustness and uncertainties in the new CMIP5 climate model projections. Nat. Clim. Change 3, 369-373. (doi:10.1038/nclimate1716)
122. Manabe S, Wetherald RT. 1975 The effects of doubling the CO2 concentration on the climate of a general circulation model. J. Atmos. Sci. 32, 3-15. (doi:10.1175/1520-0469(1975) 032<0003:TEODTC>2.0.CO;2)
123. Rowlands DJ et al. 2012 Broad range of 2050 warming from an observationally constrained large climate model ensemble. Nat. Geosci. 5, 256-260. (doi:10.1038/ngeo1430)
124. Annan JD, Hargreaves JC. 2015 A perspective on model-data surface temperature comparison at the Last Glacial Maximum. Quat. Sci. Rev. 107, 1-10. (doi:10.1016/j.quascirev. 2014.09.019)
125. Palmer TN, Doblas-Reyes FJ, Weisheimer A, Rodwell MJ. 2008 Toward seamless predicion: calibration of climate change projections using seasonal forecasts. Bull. Am. Meteorol. Soc.89, 459-470. (doi:10.1175/BAMS-89-4-459)
126. Rodwell MJ, Palmer TN. 2007 Using numerical weather prediction to assess climate models. Q. J. Royal Meteorol. Soc. 133, 129-146. (doi:10.1002/qj.23)