Sensitivity of climate change projections to uncertainties in the estimates of observed changes in deep-ocean heat content

Climate Dynamics

Volumn 34, Issue 5, 2010, Pages 735-745

  Sokolov, A P ^a   Forest, C E ^a,b   Stone, P H ^a  

^a MASSACHUSETTS INSTITUTE OF TECHNOLOGY   (United States)

^b PENNSYLVANIA STATE UNIVERSITY   (United States)

Author keywords

Climate change; Climate response; Probabilistic forecast; Uncertainty

Indexed keywords

AIR TEMPERATURE; CLIMATE CHANGE; CLIMATE MODELING; PROBABILITY; SEA LEVEL CHANGE; SURFACE TEMPERATURE; UNCERTAINTY ANALYSIS; WEATHER FORECASTING;

EID: 77951667217     PISSN: 09307575     EISSN: 14320894     Source Type: Journal    
DOI: 10.1007/s00382-009-0556-1     Document Type: Article

References (40)

1. Allen MR, Tett SFB (1999) Checking for model consistency in optimal fingerprinting. Clim Dyn 15: 419-434. doi: 10. 1007/s003820050291.
2. Andronova N, Schlesinger ME (2001) Objective estimation of the probability distribution for climate sensitivity. J Geophys Res 106: 22605-22612. doi: 10. 1029/2000JD000259.
3. Carton JA, Santorelli A (2008) Global decadal upper ocean heat content as viewed in nine analyses. J Clim 21: 6015-6035. doi: 10. 1175/2008JCLI2489. 1.
4. Domingues CM, Church JA, White NJ, Gleckler PJ, Wijffels SE, Barker PM, Dunn JR (2008) Improved estimates of upper-ocean warming and multi-decadal sea-level rise. Nature 453: 1090-1094. doi: 10. 1038/nature07080.
5. Forest CE, Stone PH, Sokolov AP, Allen MR, Webster M (2002) Quantifying uncertainties in climate system properties with the use of recent climate observations. Science 295: 113-117. doi: 10. 1126/science. 1064419.
6. Forest CE, Stone PH, Sokolov AP (2006) Estimated PDFs of climate system properties including natural and anthropogenic forcings. Geophys Res Lett 33: L01705. doi: 10. 1029/2005GL023977.
7. Forest CE, Stone PH, Sokolov AP (2008) Constraining climate model parameters from observed 20th century changes. Tellus 60A: 911-920.
8. Forster PMD, Taylor KE (2006) Climate forcing and climate sensitivities diagnosed from coupled climate model integrations. J Clim 19: 6181-6194. doi: 10. 1175/JCLI3974. 1.
9. Frame DJ, Booth BBB, Kettleborough JA, Stainforth DA, Gregory JM, Collins M, Allen MR (2005) Constraining climate forecasts: the role of prior assumptions. Geophys Res Lett 32: L09702. doi: 10. 1029/2004GL022241.
10. Gouretski V, Koltermann KP (2007) How much is the ocean really warming? Geophys Res Lett 34: L01610. doi: 10. 1029/2006GL027834.
11. Hansen J, Sato M (2004) Greenhouse gas growth rates. Proc Natl Acad Sci USA 101: 16109-16114. doi: 10. 1073/pnas. 0406982101.
12. Hansen J, Russell G, Rind D, Stone P, Lacis A, Lebedeff S, Ruedy R, Travis L (1983) Efficient three-dimensional global models for climate studies: models I and II. Mon Weather Rev 111: 609-662. doi: 10. 1175/1520-0493(1983)111< 0609: ETDGMF> 2. 0. CO; 2.
13. Hansen J, Lacis A, Rind D, Russell G, Stone P, Fung I, Ruedy R, Lerner J (1984) Climate sensitivity: Analysis of feedback mechanisms. In: Climate processes and climate sensitivity, Geophys. Monogr., No. 29, Amer. Geophys. Union, pp 130-163.
14. Houghton JT, Ding Y, Griggs DJ, Noguer M, van der Linden PJ, Xiaosu D (eds) (2001) Climate change 2001: the scientific basis. Cambridge University Press, UK, p 944.
15. Iman RL, Helton JC (1988) An investigation of uncertainty and sensitivity analysis techniques for computer models. Risk Anal 8: 71-90. doi: 10. 1111/j. 1539-6924. 1988. tb01155. x.
16. Ishii M, Kimoto M, Sakamoto K, Iwasaki S-I (2006) Steric sea level changes estimated from historical subsurface temperature and salinity analyses. J Oceanogr 62: 155-170. doi: 10. 1007/s10872-006-0041-y.
17. Jones PD, Moberg A (2003) Hemispheric and large-scale surface air temperature variations: an extensive revision and an update to 2001. J Clim 16: 206-223. doi: 10. 1175/1520-0442(2003)016< 0206: HALSSA> 2. 0. CO; 2.
18. Kiehl JT (2007) Twentieth century climate model response and climate sensitivity. Geophys Res Lett 34: L22710. doi: 10. 1029/2007GL031283 doi: 10. 1029/2007GL031383.
19. Knutti R (2008) Why are climate models reproducing the observed global surface warming so well? Geophys Res Lett 35: L18704. doi: 10. 1029/2008GL034932.
20. Knutti R, Tomassini L (2008) Constraints on the transient climate response from observed global temperature and ocean heat uptake. Geophys Res Lett, vol 35. doi: 10. 1029/2007GL032904.
21. Knutti R, Stocker TF, Joos F, Plattner G-K (2003) Probabilistic climate change projections using neural network. Clim Dyn 21: 257-272. doi: 10. 1007/s00382-003-0345-1.
22. 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.
23. Knutti R, Allen MR, Friedlingstein P, Gregory JM, Hegerl GC, Meehl GA, Meinshausen M, Murphy JM, Plattner G-K, Raper SCB, Stocker TF, Stott PA, Teng H, Wigley TML (2008) A review of uncertainties in global temperature projections over the twenty-first century. J Clim 21: 2651-2663. doi: 10. 1175/2007JCLI2119. 1.
24. Levitus S, Antonov J, Boyer TP (2005) Warming of the World Ocean, 1955-2003. Geophys Res Lett 32: L02604. doi: 10. 1029/2004GL021592.
25. Meehl GA, Covey C, Delworth T, Latif M, McAvaney B, Mitchell JFB, Stouffer RJ, Taylor KE (2007a) The WCRP CMIP3 multimodel dataset: a new era in climate change research. Bull Am Meteorol Soc 88: 1383-1394. doi: 10. 1175/BAMS-88-9-1383.
26. Meehl GA, Stocker TF, Collins WD, Friedlingstein P, Gaye AT, Gregory JM, Kitoh A, Knutti R, Murphy JM, Noda A, Raper SCB, Watterson IG, Weaver AJ, Zhao Z-C (2007b) Global climate projections. In: Solomon S, Qin D, Manning M, Chen Z, Marquis M, Averyt KB, Tignor M, Miller HL (eds) 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 University Press, Cambridge.
27. Meinshausen M, Raper SCB, Wigley TML (2008) Emulating IPCC AR4 atmosphere-ocean and carbon cycle models for projecting global-mean, hemispheric and land/ocean temperatures: MAGICC 6. 0. Atmos Chem Phys Discuss 8: 6153-6272. http://www. atmos-chem-phys-discuss. net/8/6153/2008/acpd-8-6153-2008. html.
28. Myhre G, Highwood EJ, Shine KP, Stordal F (1998) New estimates of radiative forging due to well mixed greenhouse gases. Geophys Res Lett 25: 2715-2718. doi: 10. 1029/98GL01908.
29. Prinn R, Paltsev S, Sokolov A, Sarofim M, Reilly J, Jacoby H (2008) The influence on climate change of differing scenarios for future development analyzed using the MIT Integrated Global System Model, MIT JP Report 163. (http://web. mit. edu/globalchange/www/MITJPSPGC_Rpt163. pdf).
30. Raper CSB, Gregory JM, Stouffer RJ (2002) The role of climate sensitivity and ocean heat uptake on AOGCM transient temperature and thermal expansion response. J Clim 15: 124-130. doi: 10. 1175/1520-0442(2002)015< 0124: TROCSA> 2. 0. CO; 2.
31. Sansó B, Forest C (2009) Statistical calibration of climate system properties. Appl Stat (in press). http://www. ams. ucsc. edu/share/technical-reports/2008/ucsc-soe-08-22. pdf.
32. Sokolov AP, Stone PH (1998) A flexible climate model for use in integrated assessments. Clim Dyn 14: 291-303. doi: 10. 1007/s003820050224.
33. Sokolov AP, Forest CE, Stone PH (2003) Comparing oceanic heat uptake in AOGCM transient climate change experiments. J Clim 16: 1573-1582.
34. Sokolov AP et al (2005) The MIT integrated global system model (IGSM) Version 2: model description and baseline evaluation, MIT JP Report 124. (http://web. mit. edu/globalchange/www/MITJPSPGC_Rpt124. pdf).
35. Sokolov AP, Dutkiewicz S, Stone PH, Scott JR (2007) Evaluating the use of ocean models of different complexity in climate change studies. MIT Joint Program for the Science and Policy of Global Change Rep. 128, 23 p. (http://web. mit. edu/globalchange/www/MITJPSPGC_Rpt128. pdf).
36. Solomon S et al (2007) Technical summary. In: Solomon S, Qin D, Manning M, Chen Z, Marquis M, Averyt KB, Tignor M, Miller HL et al (eds) 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 University Press, Cambridge.
37. Stone PH, Yao M-S (1987) Development of a two-dimensional zonally averaged statistical-dynamical model. Part II: The role of eddy momentum fluxes in the general circulation and their parameterization. J Atmos Sci 44: 3769-3786. doi: 10. 1175/1520-0469(1987)044< 3769: DOATDZ> 2. 0. CO; 2.
38. Stone PH, Yao M-S (1990) Development of a two-dimensional zonally averaged statistical-dynamical model. Part III: The parameterization of the eddy fluxes of heat and moisture. J Clim 3: 726-740. doi: 10. 1175/1520-0442(1990)003< 0726: DOATDZ> 2. 0. CO; 2.
39. Tebaldi C, Knutti R (2007) The use of the multi-model ensemble in probabilistic climate projections. Philos Trans R Soc A 365: 2053-2075. doi: 10. 1098/rsta. 2007. 2076.
40. Webster M et al (2003) Uncertainty analysis of climate change and policy response. Clim Change 61: 295-320. doi: 10. 1023/B: CLIM. 0000004564. 09961. 9f.