Misdiagnosis of Earth climate sensitivity based on energy balance model results

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  • ReceivedFeb 6, 2015
  • AcceptedApr 24, 2015
  • PublishedMay 31, 2015



[1] Monckton of Brenchley C, Soon WW-H, Legates DR et al (2015) Why models run hot: results from an irreducibly simple climate model. Sci Bull 60:122-135. Google Scholar

[2] IPCC AR5 (2013) Climate change 2013: the physical science basis. In: Stocker TF, Qin D, Plattner G-K et al (eds) Contribution of working group I to the fifth assessment report of the intergovernmental panel on climate change. Cambridge University Press, Cambridge. Google Scholar

[3] Sellers WD (1969) A global climatic model based on the energy balance of the Earth-atmosphere system. J App Met 8:392-400. CrossRef Google Scholar

[4] Otto A, Otto FE, Boucher O et al (2013) Energy budget constraints on climate response. Nat Geosci 6:415-416. CrossRef Google Scholar

[5] Lewis N, Curry JA (2014) The implications for climate sensitivity of AR5 forcing and heat uptake estimates. Clim Dyn 1-15. Google Scholar

[6] Roe G (2009) Feedbacks, timescales, and seeing red. Ann Rev Earth Planet Sci 37:93-115. CrossRef Google Scholar

[7] Hoffert M, Callegari AJ, Ching-Tzong H (1980) The role of deep sea heat storage in the secular response to climatic forcing. J Geophys Res 85:6667-6679. CrossRef Google Scholar

[8] Geoffroy O, Saint-Martin D, Olivie DJL et al (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. CrossRef Google Scholar

[9] Geoffroy O, Saint-Martin D, Voldoire A et al (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 26:1826-1876. Google Scholar

[10] Held IM, Winton M, Takahasi K et al (2010) Probing the fast and slow components of global warming by returning abruptly to pre-industrial forcing. J Clim 23:2418-2427. CrossRef Google Scholar

[11] Murphy DM, Solomon S, Portmann RW et al (2009) An observationally based energy balance for the Earth since 1950. J Geophys Res 114:D17107. CrossRef Google Scholar

[12] Rose BEJ, Armour KC, Battisti DS et al (2014) The dependence of transient climate sensitivity and radiative feedbacks on the spatial pattern of ocean heat uptake. Geophys Res Lett 41:1071-1078. CrossRef Google Scholar

[13] Armour KC, Bitz CM, Roe GH (2013) Time-varying sensitivity from regional feedbacks. J Clim 26:4518-4534. CrossRef Google Scholar

[14] Yoshimori M, Hargreaves JC, Annan JD et al (2011) Dependency of feedbacks on forcing and climate state in physics parameter ensembles. J Clim 24:6440-6455. CrossRef Google Scholar

[15] Foster G, Rahmstorf S (2011) Global temperature evolution 1979-2010. Environ Res Lett 6:044022. CrossRef Google Scholar

[16] Meinhausen M, Smith SJ, Calvin K et al (2011) The RCP greenhouse gas concentrations and their extensions from 1765 to 2300. Clim Change 109:213-241. CrossRef Google Scholar

[17] Koninklijk Nederlands Meteorologisch Instituut (2015) http://knmi.nl/. Accessed Feb 2015. Google Scholar

[18] Cowtan K, Way RG (2014) Coverage bias in the HadCRUT4 temperature series and its impact on recent temperature trends. Q J R Meteorol Soc 140:1935-1944. CrossRef Google Scholar

[19] Petit JR, Jouzel J, Raynaud D et al (1999) Climate and atmospheric history of the past 420,000 years from the Vostok ice core, Antarctica. Nature 399:429-436. CrossRef Google Scholar

[20] Jouzel J, Masson-Delmotte V, Cattani O et al (2007) Orbital and millennial Antarctic climate variability over the past 800,000 years. Science 317:793-796. CrossRef Google Scholar

[21] Zachlos JC, Shackleton NJK, Revenaugh NJ et al (2001) Climate response to orbital forcing across the Oligocene-Miocene boundary. Science 292:274-277. CrossRef Google Scholar

[22] Hargreaves JC, Abe-Ouchi A, Annan JD (2007) Linking glacial and future climates through an ensemble of GCM simulations. Clim Past 3:77-87. CrossRef Google Scholar

[23] Lorius C, Jouzel J, Raynaud D et al (1990) The ice-core record-climate sensitivity and future greenhouse warming. Nature 347:139-145. CrossRef Google Scholar

[24] Hoffert MI, Covey C (1992) Deriving global climate sensitivity from palaeoclimate reconstructions. Nature 360:573-576. CrossRef Google Scholar

[25] Covey C, Sloan LC, Hoffert MI (1996) Paleoclimate data constraints on climate sensitivity: the paleocalibration method. Clim Change 32:165-184. CrossRef Google Scholar

[26] Annan JD, Hargreaves JC, Ohgaito R et al (2005) Efficiently constraining climate sensitivity with ensembles of paleoclimate simulations. SOLA 1:181-184. CrossRef Google Scholar

[27] Masson-Delmotte V, Kageyama M, Braconnot P et al (2006) Past and future polar amplification of climate change: climate model intercomparisons and ice-core constraints. Clim Dyn 26:513-529. CrossRef Google Scholar

[28] Crucifix M (2006) Does the Last Glacial Maximum constrain climate sensitivity? Geophys Res Lett 33:L18701. CrossRef Google Scholar

[29] Knutti R, Hegerl GC (2008) The equilibrium sensitivity of the Earth's temperature to radiation changes. Nat Geosci 1:735-743. CrossRef Google Scholar

[30] Loeb NG, Lyman KM, Johnson JC et al (2012) Observed changes in top-of-the-atmosphere radiation and upper-ocean heating consistent within uncertainty. Nat Geosci 5:110-113. CrossRef Google Scholar

[31] Abraham JP, Baringer M, Bindoff NL et al (2013) A review of global ocean temperature observations: implications for ocean heat content estimates and climate change. Rev Geophys 51:450-483. CrossRef Google Scholar

[32] Watterson IG (2000) Interpretation of simulated global warming using a simple model. J Clim 21:5624-5628. Google Scholar

[33] Gregory JM (2000) Vertical heat transports in the ocean and their effect on time-dependent climate model integrations. J Clim 19:6181-6194. Google Scholar

[34] Schwartz SE (2007) Heat capacity, time constant, and sensitivity of Earth's climate system. J Geophys Res 112:paper D24S05. Google Scholar

[35] Murphy DM, Forster PM (2010) On the accuracy of deriving climate feedback parameters from correlations between surface temperatures and outgoing radiation. J Clim 23:4983-4988. CrossRef Google Scholar

[36] Gorman JM, Abraham JP, Sparrow EM (2014) A novel, comprehensive numerical simulation for predicting temperatures within boreholes and the adjoining rock bed. Geothermics 50:213-219. CrossRef Google Scholar

[37] Personal communication, Gerard Roe, February 17, 2015. Google Scholar

[38] Schmidt GA, Shindell DT, Tsigaridis K (2014) Reconciling warming trends. Nat Geosci 7:158-160. CrossRef Google Scholar

[39] Santer BD, Bonfils C, Painter JF et al (2014) Volcanic contribution to decadal changes in tropospheric temperature. Nat Geosci 7:185-189. CrossRef Google Scholar

[40] Solomon S, Rosenlof KH, Portmann RW et al (2010) Contributions of stratospheric water vapor to decadal changes in the rate of global warming. Science 327:1219-1223. CrossRef Google Scholar

[41] Trenberth KE, Fasullo JT, Branstator G et al (2014) Seasonal aspects of the recent pause in surface warming. Nat Clim Change 4:911-916. CrossRef Google Scholar

[42] Abraham JP, Fasullo JT, Laden G (2014) Continued global warming in the midst of natural climate fluctuations. Rep Natl Center Sci Educ 34:2.1-2.9. Google Scholar

[43] Kosaka Y (2014) Increasing wind sinks heat. Nat Geosci 4:172-173. Google Scholar

[44] England MH, McGregor S, Spence P et al (2014) Recent intensification of wind-driven circulation in the Pacific and the ongoing warming hiatus. Nat Geosci 4:222-227. Google Scholar

[45] IPCC FAR (1990) Climate change-the IPCC assessment. In: Houghton JT, Jenkins GJ, Ephraums JJ (eds) Report prepared for the intergovernmental panel on climate change by working group I. Cambridge University Press, Cambridge, NY. Google Scholar

[46] Hansen J, Fung I, Lacis A et al (1988) Global climate changes as forecast by Goddard Institute for Space Studies three-dimensional model. J Geophys Res Atmos 93(D8):9341-9364. CrossRef Google Scholar

[47] IPCC AR4 (2007) Climate change 2007: the physical science basis. In: Solomon S, Qin D, Manning M et al (eds) Contribution of the working group I to the fourth assessment report of the intergovernmental panel on climate change, 2007. Cambridge University Press, Cambridge, NY. Google Scholar

[48] Soden BJ, Held IM (2006) An assessment of climate feedbacks in coupled ocean-atmosphere models. J Clim 19:3354-3360. CrossRef Google Scholar

[49] 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. CrossRef Google Scholar

[50] Gregory JM, Ingram WJ, Palmer MA et al (2004) A new method for diagnosing radiative forcing and climate sensitivity. Geophys Res Lett 31:L03205. Google Scholar

[51] Spencer RW, Braswell WD (2011) On the misdiagnosis of surface temperature feedbacks from variations in Earth's radiant-energy balance. Remote Sens 3:1603-1613. CrossRef Google Scholar

[52] Trenberth KE, Fasullo JT, Abraham JP (2011) Issues in establishing climate sensitivity in recent studies. Remote Sens 3:2051-2055. CrossRef Google Scholar

[53] Dessler AE (2011) Cloud variations and the Earth's energy budget. Geophys Res Lett 38:L19701. CrossRef Google Scholar

[54] Lindzen RS, Choi Y-S (2011) On the observational determination of climate sensitivity and its implications. Asia-Pac J Atmos Sci 47:377-390. CrossRef Google Scholar

[55] Lindzen RS, Choi Y-S (2009) On the determination of climate feedbacks from ERBE data. Geophys Res Lett 36:L16705. CrossRef Google Scholar

[56] Murphy DM (2010) Constraining climate sensitivity with linear fits to outgoing radiation. Geophys Res Lett 37:L09704. CrossRef Google Scholar

[57] Trenberth KE, Fasullo JT, O'Dell C et al (2010) Relationships between tropical sea surface temperature and top-of-atmosphere radiation. Geophys Res Lett 37:L03702. CrossRef Google Scholar

[58] Chung E-S, Soden BJ, Sohn B-J (2010) Revisiting the determination of climate sensitivity from relationships between surface temperature and radiative fluxes. Geophys Res Lett 37:L10703. Google Scholar

[59] Dessler AE (2010) A determination of the cloud feedback from climate variations over the last decade. Science 330:1523-1527. CrossRef Google Scholar

[60] Dessler AE (2013) Observations of climate feedbacks over 2000-2010 and comparisons with climate models. J Clim 26:33-342. CrossRef Google Scholar

[61] RSS (2014) Satellite-derived monthly global mean lower-troposphere temperature anomaly dataset: www.remss.com/data/msu/monthly_time_series/RSS_Monthly_MSU_AMSU_Channel_TLT_Anomalies_Land_and_Ocean_v03_3.txt. Accessed Feb 2015. Google Scholar

[62] University of Alabama at Huntsville (UAH) (2014) Satellite MSU monthly global mean lower-troposphere temperature anomalies. http://vortex.nsstc.uah.edu/data/msu/t2lt/uahncdc_lt_5.6.txt. Accessed Feb 2015. Google Scholar

[63] Abraham JP, Cook J, Fasullo JT et al (2014) Review of the consensus and asymmetric quality of research on human-induced climate change. Cosmopolis 2014-1:3-18. Google Scholar

[64] Hansen JE, Wilson H (1993) Commentary on the significance of global temperature records. Clim Change 25:896-910. CrossRef Google Scholar

[65] Schneider SH (1994) Detecting climatic change signals: are there any "fingerprints"? Science 263:341-347. CrossRef Google Scholar

[66] Hurrell JW, Trenberth KE (1997) Spurious trends in satellite MSU temperatures from merging different satellite records. Nature 386:164-167. CrossRef Google Scholar

[67] Hurrell JW, Trenberth KE (1998) Difficulties in obtaining reliable temperature trends: reconciling the surface and satellite microwave sounding unit records. J Clim 11:945-967. CrossRef Google Scholar

[68] Wentz FJ, Schabel MC (1998) Effects of orbital decay on satellite-derived lower tropospheric temperature trends. Nature 394:661-664. CrossRef Google Scholar

[69] Mears CA, Schabel MC, Wentz FJ (2003) A reanalysis of the MSU channel 2 tropospheric temperature record. J Clim 16:3650-3664. CrossRef Google Scholar

[70] Mears CA, Wentz FJ (2005) The effect of diurnal correction of satellite-derived lower tropospheric temperature. Science 309:1548-1551. CrossRef Google Scholar

[71] Sherwood SC, Lanzante JR, Meyer CL (2005) Radiosonde daytime biases and late-20th century warming. Science 309:1556-1559. CrossRef Google Scholar

[72] Randel WJ, Wu F (2006) Biases in stratospheric and tropospheric temperature trends derived from historical radiosonde data. J Clim 19:2094-2104. CrossRef Google Scholar

[73] Thorne PW, Parker DE, Tett SFB et al (2005) Revisiting radiosonde upper air temperatures from 1958 to 2002. J Geophys Res 110:D18105. CrossRef Google Scholar

[74] Lanzante JR, Free M (2008) Comparison of radiosonde and GCM vertical temperature trend profiles: effects of dataset choice and data homogenization. J Clim 21:5417-5435. CrossRef Google Scholar

[75] Allen RJ, Sherwood SC (2008) Warming maximum in the tropical upper troposphere deduced from thermal winds. Nat Geosci 1:399-403. CrossRef Google Scholar

[76] Santer BD, Thorne PW, Haimberger L et al (2008) Consistency of modelled and observed temperature trends in the tropical troposphere. Int J Climatol 28:1703-1722. CrossRef Google Scholar

[77] Titchner HA, Thorne PW, McCarthy MP (2009) Critically assessing tropospheric temperature trends from radiosondes using realistic validation experiments. J Clim 22:465-485. CrossRef Google Scholar

[78] Thorne PW, Lanzante JR, Peterson TC et al (2011) Tropospheric temperature trends: history of an ongoing controversy. Clim Change 2:66-88. Google Scholar

[79] Po-Chedley S, Fu Q (2012) A bias in the mid-tropospheric channel warm target factor on the NOAA-9 microwave sounding unit. J Atmos Ocean Tech 29:646-652. CrossRef Google Scholar

[80] Weng F, Zou X, Qin Z (2014) Uncertainty of AMSU-A derived temperature trends in relationship with clouds and precipitation over ocean. Clim Dyn 43:1439-1448. CrossRef Google Scholar

[81] Po-Chedley S, Thorsen TJ, Fu Q (2015) Removing diurnal cycle contamination in satellite-derived tropospheric temperatures: understanding tropical tropospheric trend discrepancies. J Clim 28:2274-2290. CrossRef Google Scholar

[82] Marotzke J, Forster PM (2015) Forcing, feedback and internal variability in global temperature trends. Nature 517:565-570. CrossRef Google Scholar


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