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

References

• Adger, N., Aggarwal, P., Agrawala, S., Alcamo, J., Allan, A. and co-authors. 2007. Climate Change 2007: Impacts, Adaptation and Vulnerability, Summary for Policymakers. IPCC Secretariat, do WMO, 7bis, Avenue de la Paix, C.P. N ° 2300, 1211 Geneva 2, Switzerland.
   Google Scholar
• Alley, R., Berntsen, T., Bindoff, N. L., Chen, Z., Chidthaisong, A. and co-authors. 2007. Climate Change 2007: The Physical Science Basis, Summary for Policymakers. IPCC Secretariat, do WMO, 7bis, Avenue de la Paix, C.P. N ° 2300, 1211 Geneva 2, Switzerland.
   Google Scholar
• Annan, J. D. and Hargreaves, J. C. 2009. On the generation and interpretation of probabilistic estimates of climate sensitivity. aim. Change. 10.1007/s10584-009-9715-y.
   Google Scholar
• Annan, J. D., Hargreaves, J. C., Ohgaito, R., Abe-Ouchi, A. and Emori, S. 2005. Efficiently constraining climate sensitivity with paleoclimate simulations. Scient. Online Lett. Atmos. 1, 181–184.
   Google Scholar
• Baumgartner, A. and Reichel, E. 1975. The World Water Balance. Elsevier, Amsterdam, the Netherlands, and New York.
   Google Scholar
• Bence, J. R. 1995. Analysis of short time series: correcting for autocorrelation. Ecology 76, 628–639.
   Web of Science ®Google Scholar
• Boden, T. A., Marland, G. and Andres, R. J. 2009. Carbon Dioxide Information Analysis Center, Oak Ridge National Laboratory, U.S. Department of Energy, Oak Ridge, TN, U.S.A.10.3334/CDIAC/00001. Available electronically from: http://cdiac.ornl.gov/trends/emis/overview_2006.html.
   Google Scholar
• Broecker, W. S. 1991. The great ocean conveyor. Oceanography 4, 79–89.
   Google Scholar
• Brohan, R, Kennedy, J. J., Harris, I., Tett, S. F. B. and Jones, P. D. 2006. Uncertainty estimates in regional and global observed temperature changes: a new data set from 1850. J. Geophys. Res.-Atmos. 111, D12106, 10.1029/2005JD006548.
   Web of Science ®Google Scholar
• Bryden, H. L., Longworth, H. R. and Cunningham, S. A. 2005. Slowing of the Atlantic meridional overturning circulation at 25° N. Nature 438 (7068), 655–657.
   Web of Science ®Google Scholar
• Cessi, P., Young, W. R. and Polton, J. A. 2006. Control of large-scale heat transport by small-scale mixing. J. Phys. Oceanogr. 36 (10), 1877–1894.
   Web of Science ®Google Scholar
• Challenor, P. G., Hanlcin, R. K. S. and March, R. 2006. Towards the probability of rapid climage change. In: Avoiding Dangerous Climate Change (eds H. J. Schellnhuber, W. Cramer, N. Nalcicenovic, T. Wigley and G. Yohe), Cambridge University Press, Cambridge, pp. 55–63.
   Google Scholar
• Crowley, T. J. 2000. Causes of climate change over the past 1000 years. Science 289 (5477), 270–277.
   PubMed Web of Science ®Google Scholar
• Cunningham, S. A., Kanzow, T., Rayner, D., Baringer, M. O., Johns, W. E. and co-authors. 2007. Temporal variability of the Atlantic meridional overturning circulation at 26.5°N. Science 317 (5840), 935–938.
   Google Scholar
• Curry, R. and Mauritzen, C. 2005. Dilution of the northern North Atlantic Ocean in recent decades. Science 308 (5729), 1772–1774.
   Web of Science ®Google Scholar
• Draper, D. 1995. Assessment and propagation of model uncertainty. J. R. Statist. Soc. Ser B-Methodol. 57(1), 45–97.
   Google Scholar
• Ellsberg, D. 1961. Risk, ambiguity, and the Savage axioms. Quart. J. Econ. 75, 643–669.
   Web of Science ®Google Scholar
• Etheridge, D. M., Steele, L. P., Langenfelds, R. L., Francey, R. J., Barnola, J. M., and co-authors. 1996. Natural and anthropogenic changes in atmospheric CO2 over the last 1000 years from air in Antarctic ice and firn. J. Geophys. Res.-Atmos. 101(D2), 4115-4128.
   Web of Science ®Google Scholar
• Forest, C. E., Stone, P. H., Sokolov, A. P., Allen, M. R. and Webster, M. D. 2002. Quantifying uncertainties in climate system properties with the use of recent climate observations. Science 295, 113–117.
   PubMed Web of Science ®Google Scholar
• Friedlingstein, P., Cox, R, Betts, R., Bopp, L., von Bloh, W. and co-authors. 2006. Climate-carbon cycle feedback analysis: results from the C4MIP model intercomparison. J. Climate 19, 3337–3353.
   Web of Science ®Google Scholar
• Frölich, C. and Lean, J. 1998. The Sun's total irradiance: cycles and trends in the past two decades and associated climate change uncertainties. Geophys. Res. Lett. 25, 4377–4380. Updated data are available online: C. Frölich, PMOD/VVRC, http://www.pmodwrc.ch/pmod.php?topic=tsi/composite/SolarConstant.
   Google Scholar
• Gouretslci, V. and Koltermann, K. P. 2007. How much is the ocean really warming? Geophys. Res. Lett. 34, L01610.
   Web of Science ®Google Scholar
• Hastings, W. K. 1970. Monte Carlo sampling methods using Markov chains and their applications. Biometrika 57(1), 97–109.
   Web of Science ®Google Scholar
• Hegerl, G. C., Crowley, T. J., Hyde, W. T. and Frame, D. J. 2006. Climate sensitivity constrained by temperature reconstructions over the past seven centuries. Nature 440 (7087), 1029–1032.
   PubMed Web of Science ®Google Scholar
• Hoeting, J. A., Madigan, D., Raftery, A. E. and Volinsky, C. T. 1999. Bayesian model averaging: a tutorial. Stat. Sci. 14 (4), 382–401.
   Web of Science ®Google Scholar
• Hofmann, M. and Rahmstorf, S. 2009. On the stability of the Atlantic meridional overturning circulation. Proc. Natl. Acad. Sci. U. S. A. 106, 20584–20589.
   Web of Science ®Google Scholar
• Hooss, G., Voss, R., Hasselmann, K., Maier-Reimer, E. and Joos, E 2001. A nonlinear impulse response model of the coupled carbon cycle-climate system (NICCS). Clim. Dyn. 18(3-4), 189–202.
   Web of Science ®Google Scholar
• Houghton, R. A., Davidson, E. A. and Woodwell, G. M. 1998. Missing sinks, feedbacks, and understanding the role of terrestrial ecosystems in the global carbon balance. Global Biogeochem. Cycles 12 (1), 25–34.
   Web of Science ®Google Scholar
• Jain, A. K. and Yang, X. J. 2005. Modeling the effects of two different land cover change data sets on the carbon stocks of plants and soils in concert with CO2 and climate change. Global Biogeochem. Cycles 19 (2), GB2015.
   Google Scholar
• Kanzow, T., Cunningham, S. A., Rayner, D., Hirschi, J. J. M., Johns, W. E. and co-authors. 2007. Observed flow compensation associated with the MOC at 26.5°N in the Atlantic. Science 317 (5840), 938–941.
   Google Scholar
• Keeling, C. D. and Whorf, T. P. 2005. Atmospheric CO2 records from sites in the SIO air sampling network, Technical report, Carbon Dioxide Information Analysis Center, Oak Ridge National Laboratory. Updated data available online: P. Tans, NOAA/ESRL, ftp://ftp.cmdl.noaa.gov/ccg/co2/trends/co2_annmean_mlo.txt.
   Google Scholar
• Keller, K. and McInerney, D. 2008. The dynamics of learning about a climate threshold. Clim. Dyn. 30, 321–332.
   Web of Science ®Google Scholar
• Keller, K., Tan, K., Morel, F. M. M. and Bradford, D. F. 2000. Preserving the ocean circulation: implications for climate policy. Clim. Change 47(1-2), 17–43.
   Web of Science ®Google Scholar
• Keller, K., Bolker, B. M. and Bradford, D. E 2004. Uncertain climate thresholds and optimal economic growth. J. Environ. Econ. Manage. 48, 723–741.
   Web of Science ®Google Scholar
• Keller, K., Miltich, L. I., Robinson, A. and Tol, R. S. J. 2007a. How overconfident are current projections of carbon dioxide emissions? Working Paper Series, Research Unit Sustainability and Global Change, Hamburg University. FNU-124, http://ideas.repec.org/s/sgc/wpaper.html.
   Google Scholar
• Keller, K., Schlesinger, M. and Yohe, G. 2007b. Managing the risks of climate thresholds: uncertainties and information needs. Clim. Change 91, 5–10. 10.1007/s10584-006-9114-6.
   Web of Science ®Google Scholar
• Knutti, R., Stocker, T. E, Joos, F. and Plattner, G. K. 2003. Probabilistic climate change projections using neural networks. Clim. Dyn. 21(3-4), 257–272.
   Web of Science ®Google Scholar
• Krebs, U. and Timmermann, A. 2007. Tropical air-sea interactions accelerate the recovery of the Atlantic meridional overturning circulation after a major shutdown. J. Clim. 20,4940–4956.
   Web of Science ®Google Scholar
• Kriegler, E. 2005. Imprecise probability analysis for integrated assessment of climate change. PhD Thesis, University of Potsdam, Potsdam, Germany.
   Google Scholar
• Kuhlbrodt, T., Rahmstorf, S., Zicicfeld, K., Vikebo, F. B., Sundby, S. and co-authors. 2009. An integrated assessment of changes in the thermohaline circulation. Clim. Change 96, 489–537.
   Google Scholar
• Latif, M., Roeckner, E., Mikolajewski, U. and Voss, R. 2000. Tropical stabilization of the thermohaline circulation in a greenhouse warming simulation. J. Clim. 13, 1809–1813.
   Web of Science ®Google Scholar
• Lempert, R. J. 2002. A new decision sciences for complex systems. Proc. Natl. Acad. Sci. U. S. A. 99, 7309–7313.
   PubMed Web of Science ®Google Scholar
• Link, P. M. and Tol, R. S. J. 2004. Possible economic impacts of a shutdown of the thermohaline circulation: an application of FUND. Portuguese Econ. J. 3, 99–114.
   Google Scholar
• Lohmann, U. and Feichter, J. 2005. Global indirect aerosol effects: a review. Atmos. Chem. Phys. 5, 715–737.
   Web of Science ®Google Scholar
• Lumplcin, R. and Speer, K. 2007. Global ocean meridional overturning. J. Phys. Oceanogr 37 (10), 2550–2562.
   Web of Science ®Google Scholar
• McNeil, B. I., Matear, R. J., Key, R. M., Bullister, J. L. and Sarmiento, J. L. 2003. Anthropogenic CO2 uptake by the ocean based on the global chlorofluorocarbon data set. Science 299 (5604), 235–239.
   Web of Science ®Google Scholar
• Meehl, G. A., Stocker, T. F., Collins, W. D., Friedlingstein, P., Gaye, A. and co-authors. 2007, Climate Change 2007: The Physical Science Basis. Contribution of Working Group Ito the Fourth Assessment Report of the Intergovernmental Panel on Climate Change, Cambridge University Press, Cambridge, United Kingdom and New York, NY, USA.
   Google Scholar
• Metropolis, N., Rosenbluth, A. W., Rosenbluth, M. N., Teller, A. H. and Teller, E., 1953. Equation of state calculations by fast computing machines. J. Chem. Phys. 21, 1087–1092.
   Web of Science ®Google Scholar
• Nordhaus, W. D. 2007. The challenge of global warming: economic models and environmental policy, Technical report, http://nordhuas.econ.yale.edu/DICE2007.htm, accessed May 2,2007, model version: DICE-2007.delta.v7.
   Google Scholar
• Obata, A. 2007. Climate-carbon cycle model response to freshwater discharge into the North Atlantic. J. Clim. 20, 5962–5976.
   Web of Science ®Google Scholar
• Rahmstorf, S. and Zicicfeld, K. 2005. Thermohaline circulation changes: a question of risk assessment-an editorial review essay. Clim. Change 68(1-2), 241–247.
   Web of Science ®Google Scholar
• Ramankutty, N. and Foley, J. A. 1999. Estimating historical changes in global land cover: Croplands from 1700 to 1992. Global Biogeochem. Cycles 13 (4), 997–1027.
   Web of Science ®Google Scholar
• Ricciuto, D., Davis, K. and Keller, K. 2008. A Bayesian calibration of a simple carbon cycle model: the role of observations in estimating and reducing uncertainty. Global Biogeochem. Cycles 22, GB2030.
   Google Scholar
• Sarmiento, J. L. and Le Quéré, C. 1996. Oceanic carbon dioxide uptake in a model of century-scale global warming. Science 274, 1346–1350.
   PubMed Web of Science ®Google Scholar
• Schmittner, A., Urban, N. M., Keller, K. and Matthews, D. 2009. Using tracer observations to reduce the uncertainty of ocean diapycnal mixing and climate-carbon cycle projections. Global Biogeochem. Cycles 23, GB4009.
   Google Scholar
• Schneider, S. H., Semenov, S., Patwardhan, A., Burton, I., Magadza, C. H. D. and co-authors. 2007a. Assessing key vulnerabilities and the risk from climate change. In: Climate Change 2007: Impacts, Adaptation and Vulnerability. Contribution of Working Group II to the Fourth Assessment Report of the Intergovernmental Panel on Climate Change (eds M. L. Parry, O. F. Canziani, J. P. Palutilcof, P. J. van der Linden and C. E. Hanson), Cambridge University Press, Cambridge, UK, 779–810.
   Google Scholar
• Schneider, B., Latif, M. and Schmittner, A. 2007b. Evaluation of different methods to assess model projections of the future evolution of the Atlantic meridional overturning circulation. J. Clim. 20 (10), 2121–2132.
   Web of Science ®Google Scholar
• Schneider von Deimling, T., Held, H., Ganopolski, A. and Rahmstorf, S. 2006. Climate sensitivity estimated from ensemble simulations of glacial climate. Clim. Dyn. 27, 149–163.
   Google Scholar
• Siegenthaler, U. and Joos, F K. 1992. Use of a simple model for studying oceanic tracer distributions and the global carbon cycle. Tellus B 44, 186–207.
   Google Scholar
• Stommel, H. 1961. Thermohaline convection with two stable regimes of flow. Tellus 13 (2), 224–230.
   Google Scholar
• Stouffer, R. J., Yin, J., Gregory, J. M., Dixon, K. W., Spelman, M. J. and co-authors. 2006. Investigating the causes of the response of the thermohaline circulation to past and future climate changes. J. Clim. 19 (8), 1365-1387.
   Web of Science ®Google Scholar
• Tanaka, K., Kriegler, E., Bruckner, T., Hooss, G., Knorr, W. and co-authors. 2007. Aggregated carbon cycle, atmospheric chemistry, and climate model (ACC2). description of the forward and inverse modes (Reports on Earth System Science No. 40), Technical report, Hamburg, Germany.
   Google Scholar
• Tomassini, L., Reichert, P., Knutti, R., Stocker, T. F. and Borsuk, M. E. 2007. Robust Bayesian uncertainty analysis of climate system properties using Markov chain Monte Carlo methods. J. Clim. 20, 1239–1254.
   Web of Science ®Google Scholar
• Urban, N. M. and Keller, K. 2009. Complementary constraints on climate sensitivity. Geophys. Res. Lett. 36, L04708.
   Web of Science ®Google Scholar
• Vellinga, M. and Wood, R. A. 2002. Global climatic impacts of a collapse of the Atlantic thermohaline circulation. Clim. Change 54 (3), 251–267.
   Web of Science ®Google Scholar
• Vizcaino, M., Mikolajewicz, U., Groger, M., Maier-Reimer, E., Schurgers, G. and co-authors. 2008. Long-term ice sheet-climate interactions under anthropogenic greenhouse forcing simulated with a complex Earth System Model. Clim. Dyn. 31, 665–690.
   Google Scholar
• Webster, M. D., Babiker, M., Mayer, M., Reilly, J. M., Harnisch, J. and co-authors. 2002. Uncertainty in emissions projections for climate models. Atmos. Environ. 36 (22), 3659-3670.
   Web of Science ®Google Scholar
• Wood, R. A., Vellinga, M. and Thorpe, R. 2003. Global warming and thermohaline circulation stability. Phil. Trans. R. Soc. Lond. Ser. A-Math. Phys. Eng. Sci. 361 (1810), 1961–1974.
   Web of Science ®Google Scholar
• Yohe, G., Schlesinger, M. E. and Andronova, N. G. 2006. Reducing the risk of a collapse of the Atlantic thermohaline circulation. Integr Assess. J. 6 (1), 57–73.
   Google Scholar
• Zickfeld, K., Slawig, T. and Rahmstorf, S. 2004. A low-order model for the response of the Atlantic thermohaline circulation to climate change. Ocean Dyn. 54 (1), 8–26.
   Web of Science ®Google Scholar
• Zickfeld, K., Levermann, A., Morgan, M. G., Kuhlbrodt, T., Rahmstorf, S. and co-authors. 2007. Expert judgements on the response of the Atlantic meridional overturning circulation to climate change. Clim. Change 82, 235–265.
   Google Scholar
• Zickfeld, K., Eby, M. and Weaver, A. J. 2008. Carbon-cycle feedbacks of changes in the Atlantic meridional overturning circulation under future atmospheric CO2. Global Biogeochem. Cycles 22, GB3024.
   Google Scholar
• Zwally, H. J., Abdalati, W., Herring, T., Larson, K., Saba, J. and Steffen, K. 2002. Surface melt-induced acceleration of Greenland ice-sheet flow. Science 297 (5579), 218–222.
   Web of Science ®Google Scholar