Recent Developments in Bayesian Estimation of Climate Sensitivity

Current Climate Change Reports

Volumn 1, Issue 4, 2015, Pages 263-267

  Annan, J D ^a  

^a Old Chapel   (United Kingdom)

Author keywords

Bayesian statistics; Climate sensitivity

Indexed keywords

EID: 84983221201     PISSN: None     EISSN: 21986061     Source Type: Journal    
DOI: 10.1007/s40641-015-0023-5     Document Type: Review

References (36)

1. Aldrin M, Holden M, Guttorp P, Skeie R B, Myhre G, Berntsen T K. Bayesian estimation of climate sensitivity based on a simple climate model fitted to observations of hemispheric temperatures and global ocean heat content. Environmetrics 2012;23(3):253–271. doi:10.1002/env.2140
2. Andrews T, Gregory JM, Webb MJ. The dependence of radiative forcing and feedback on evolving patterns of surface temperature change in climate models. J Clim 2015;28(4):1630–1648. doi:10.1175/jcli-d-14-00545.1
3. Annan JD, Hargreaves JC. Using multiple observationally-based constraints to estimate climate sensitivity. Geophys Res Lett 2006;33(L06704)
4. Annan JD, Hargreaves JC. 2009. On the generation and interpretation of probabilistic estimates of climate sensitivity. Clim Change. doi:10.1007/s10584-009-9715-y
5. Armour KC, Bitz CM, Roe GH. Time-varying climate sensitivity from regional feedbacks. J Clim 2013; 26(13):4518–4534
6. Berger J. The case for objective Bayesian analysis. Bayesian Anal 2006;1(3):385–402
7. Bernardo JM, Smith AFM. Bayesian theory. Chichester: Wiley; 1994
8. Cancún Agreement. 2010. Framework convention on climate change: report of the conference of the parties on its 16th session, held in Cancún from 29 November to 10 December. Technical report, FCCC/CP/2010/7/Add. 1
9. Charney JG. Carbon dioxide and climate: a scientific assessment. Washington: NAS; 1979
10. Forest CE, Stone PH, Sokolov AP, Allen MR, Webster M D. Quantifying uncertainties in climate system properties with the use of recent climate observations. Science 2002;295(5552):113–117
11. Frame DJ, Booth BBB, Kettleborough JA, Stainforth DA, Gregory JM, Collins M, Allen MR. Constraining climate forecasts: the role of prior assumptions. Geophys Res Lett 2005;32(L09702)
12. Hannart A, Ghil M, Dufresne J-L, Naveau P. Disconcerting learning on climate sensitivity and the uncertain future of uncertainty. Clim Change 2013;119(3–4):585–601. doi:10.1007/s10584-013-0770-z
13. Hansen J, Russel G, Lacis A, Fung I, Rind D. Climate response times: dependence on climate sensitivity and ocean mixing. Science 1985;229:857–859
14. Hegerl GC, Crowley TJ, Hyde WT, Frame DJ. Climate sensitivity constrained by temperature reconstructions over the past seven centuries. Nature 2006;440:1029–1032
15. Horowitz J, Lange A. Cost–benefit analysis under uncertainty — a note on Weitzman’s dismal theorem. Energy Econ 2014;42:201–203. doi:10.1016/j.eneco.2013.12.013
16. Jeffreys H. Theory of probability. Oxford: Oxford University Press; 1939
17. Johansson DJA, O’Neill BC, Tebaldi C, Häggström O. Equilibrium climate sensitivity in light of observations over the warming hiatus. Nat Clim Change 2015;5(5):449–453. doi:10.1038/nclimate2573
18. Kass RE, Wasserman L. The selection of prior distributions by formal rules. J Amer Stat Assoc 1996;91(435):1343–1370. doi:10.1080/01621459.1996.10477003
19. Kuhn TS. 1962. The structure of scientific revolutions. University of Chicago Press
20. Lewis N. An objective Bayesian improved approach for applying optimal fingerprint techniques to estimate climate sensitivity. J Clim 2013;26(19):7414–7429. doi:10.1175/jcli-d-12-00473.1
21. Lewis N. Objective inference for climate parameters: Bayesian, transformation-of-variables, and profile likelihood approaches. J Clim 2014;27(19):7270–7284
22. Lewis N. 2015. Implications of recent multimodel attribution studies for climate sensitivity. Clim Dyn. doi:10.1007/s00382-015-2653-7
23. Lindley DV. On a measure of the information provided by an experiment. Ann Math Stat 1956;27(4):986–1005. ISSN 0003-4851
24. Myhre G. Consistency between satellite-derived and modeled estimates of the direct aerosol effect. Science;325(5937):187–190. doi:10.1126/science.1174461
25. Nordhaus WD. 2009. An analysis of the dismal theorem. Cowles Foundation Discussion Paper Number 1686
26. Olson R, Sriver R, Goes M, Urban NM, Matthews HD, Haran M, Keller K. A climate sensitivity estimate using Bayesian fusion of instrumental observations and an Earth system model. J Geophys Res 2012;117(D4). ISSN 0148-0227. doi:10.1029/2011JD016620
27. Robert CP. The Bayesian choice: from decision-theoretic foundations to computational implementation. Springer texts in statistics. New York: Springer-Verlag; 2001
28. Roe GH, Armour KC. How sensitive is climate sensitivity? Geophys Res Lett 2011;38(14). doi:10.1029/2011gl047913
29. Rohling EJ, Sluijs A, Dijkstra HA, Köhler P, van de Wal RSW, von der Heydt AS, Beerling DJ, Berger A, Bijl PK, Crucifix M, et al. Making sense of palaeoclimate sensitivity. Nature 2012;491:683–691
30. Skeie RB, Berntsen T, Aldrin M, Holden M, Myhre G. A lower and more constrained estimate of climate sensitivity using updated observations and detailed radiative forcing time series. Earth Syst Dyn 2014;5(1):139–175
31. Tol RSJ, De Vos AF. A Bayesian statistical analysis of the enhanced greenhouse effect. Clim Change 1998;38(1):87–112
32. Urban NM, Keller K. Complementary observational constraints on climate sensitivity. Geophys Res Lett 2009;36:L04708
33. Urban NM, Keller K. Probabilistic hindcasts and projections of the coupled climate, carbon cycle, and Atlantic meridional overturning circulation system: a Bayesian fusion of century-scale observations with a simple model. Tellus A 2010;62(5):737–750
34. Weitzman ML. On modeling and interpreting the economics of catastrophic climate change. Rev Econ Stat 2009; 91(1):1–19
35. 2 doubling and LGM experiments. J Clim 2009;22(12):3374–3395. doi:10.1175/2009jcli2801.1
36. Yoshimori M, Hargreaves JC, Annan JD, Yokohata T, Abe-Ouchi A. Dependency of feedbacks on forcing and climate state in perturbed parameter ensembles. J Clim 2011;24:6440–6455