An atmosphere-ocean time series model of global climate change

Computational Statistics and Data Analysis

Volumn 51, Issue 2, 2006, Pages 1330-1346

  Stern, David I ^a  

^a RENSSELAER POLYTECHNIC INSTITUTE   (United States)

Author keywords

Global climate change; Kalman filter; Multicointegration; Time series analysis

Indexed keywords

CARBON DIOXIDE; ESTIMATION; KALMAN FILTERING; MATHEMATICAL MODELS; PROBLEM SOLVING; RADIATION EFFECTS; THERMAL EFFECTS; TIME SERIES ANALYSIS;

ATMOSPHERE-OCEAN CLIMATE SYSTEM; GLOBAL CLIMATE CHANGE; MULTICOINTEGRATION; SURFACE TEMPERATURE;

CLIMATE CHANGE;

EID: 33751005616     PISSN: 01679473     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.csda.2005.09.016     Document Type: Article

References (41)

1. Ammann C.M., Meehl G.A., Washington W.M., and Zender C.S. A monthly and latitudinally varying volcanic forcing data set in simulations of 20th century climate. Geophys. Res. Lett. 30 12 (2003) Art. No. 1657
2. Andronova N.G., and Schlesinger M.E. Objective estimation of the probability density function for climate sensitivity. J. Geophys. Res.-Atmospheres 106 D19 (2001) 22605-22611
3. Box G., and Pierce D. Distribution of residual autocorrelations in autoregressive integrated moving average time series models. J. Amer. Statist. Assoc. 65 (1970) 1509-1526
4. Cubasch, U., et al., 2001. Projections of future climate change. In: Houghton, J.T., et al. (Eds.), Climate Change 2001: The Scientific Basis. Cambridge University Press, Cambridge.
5. De Jong P. Stable algorithms for the state space model. J. Time Ser. Anal. 12 2 (1991) 143-157
6. Dickey D., and Fuller W.A. Distribution of the estimates for autoregressive time series with a unit root. J. Amer. Statist. Assoc. 74 (1979) 427-431
7. Engle R.F., and Granger C.W.J. Co-integration and error correction: representation, estimation, and testing. Econometrica 55 2 (1987) 251-276
8. Engsted T., and Haldrup N. Multicointegration in stock-flow models. Oxford Bull. Econom. Statist. 61 (1999) 237-254
9. Forest C.E., Stone P.H., Sokolov A.P., Allen M.R., and Webster M.D. Quantifying uncertainties in climate system properties with the use of recent climate observations. Science 295 (2002) 113-117
10. Fröhlich C., and Lean J. The Sun's total irrandiance: Cycles and trends in the past two decades and associated climate change uncertainties. Geophys. Res. Let. 25 (1998) 4377-4380
11. Granger C.W.J., and Lee T.H. Investigation of production, sales and inventory relationships using multicointegration and non-symmetric error correction models. J. Appl. Econometrics 4 (1989) S145-S159
12. Gregory J.M., Stouffer R.J., Raper S.C.B., Stott P.A., and Rayner N.A. An observationally based estimate of the climate sensitivity. J. Climate 15 (2002) 3117-3121
13. Hamilton J.D. Time Series Analysis (1994), Princeton University Press, Princeton, NJ
14. Hansen, J., et al., 1996. A Pinatubo climate modeling investigation. In: G. Fiocco, Fua, D., Visconti, G. (Eds.), The Mount Pinatubo Eruption: Effects on the Atmosphere and Climate, NATO ASI Series, vol. I 42. Springer, Heidelberg, Germany, pp. 233-272.
15. Hansen J., et al. Forcings and chaos in interannual to decadal climate change. J. Geophys. Res. 102 D22 (1997) 25679-25720
16. Hansen J., Sato M., Lacis A., Ruedy R., Tegen I., and Matthews E. Perspective: climate forcings in the industrial era. Proc. Natl. Acad. Sci. 95 (1998) 12753-12758
17. Harvey A.C. Forecasting, Structural Time Series Models, and the Kalman Filter (1989), Cambridge University Press, Cambridge
18. Harvey L.D.D., and Kaufmann R.K. Simultaneously constraining climate sensitivity and aerosol radiative forcing. J. Climate 15 (2002) 2837-2861
19. Jones P.D., and Moberg A. Hemispheric and large-scale surface air temperature variations: an extensive revision and an update to 2001. J. Climate 16 (2003) 206-223
20. Jones P.D., Osborn T.J., and Briffa K.R. Estimating sampling errors in large-scale temperature averages. J. Climate 10 (1997) 2548-2568
21. Kattenberg, A., Giorgi, F., Grassl, H., Meehl, G. A., Mitchell, J.F.B., Stouffer, R.J., Tokioka, T., Weaver, A.J., Wigley, T.M.L., 1996. Climate models-projections of future climate. In: Houghton, J.T., Meira Filho, L.G., Callander, B.A., Harris, N., Kattenberg, A., Maskell, K. (Eds.), Climate Change 1995: The Science of Climate Change. Cambridge University Press, Cambridge.
22. Kaufmann R.K., and Stern D.I. Evidence for human influence on climate from hemispheric temperature relations. Nature 388 (1997) 39-44
23. Kaufmann R.K., and Stern D.I. Cointegration analysis of hemispheric temperature relations. J. Geophys. Res. 107 D2 (2002) Article No. 4012
24. Kaufmann R.K., Stock J.H., and Kauppi H. Emissions, Concentrations, and Temperature: A Time Series Analysis. Mimeo. Center for Energy and Environmental Studies (2003), Boston University, Boston MA
25. Knutti R., Stocker T.F., Joos F., and Plattner G.K. Constraints on radiative forcing and future climate change from observations and climate model ensembles. Nature 416 6882 (2002) 719-723
26. Lean J. Evolution of the sun's spectral irradiance since the Maunder Minimum. Geophys. Res. Lett. 27 (2000) 2425-2428
27. Levitus S., Antonov J., and Boyer T. Warming of the world ocean, 1955-2003. Geophys. Res. Lett. 32 (2005) L02604
28. Levitus S., Antonov J.L., Boyer T.P., and Stephens C. Warming of the world ocean. Science 287 (2000) 2225-2229
29. Levitus S., Antonov J.L., Wang J., Delworth T.L., Dixon K.W., and Broccoli A.J. Anthropogenic warming of Earth's climate system. Science 292 (2001) 267-270
30. Nordhaus W.D. An optimal transition path for controlling greenhouse gases. Science 258 (1992) 1315-1319
31. Pindyck R.S., and Rubinfeld D.L. Econometric Models and Economic Forecasts (1981), McGraw-Hill, Singapore
32. Ramaswamy, V., et al., 2001. Radiative forcing of climate change. In: Houghton, J.T., et al. (Eds.), Climate Change 2001: The Scientific Basis. Cambridge University Press, Cambridge.
33. Sato M., Hansen J.E., McCormick M.P., and Pollack J.B. Stratospheric aerosol optical depth, 1850-1990. J. Geophys. Res. 98 (1993) 22987-22994
34. Schlesinger, M.E., Andronova, N.G., Kolstad, C.D., Kelly, D.L., On the use of autoregression models to estimate climate sensitivity. Mimeo. (Climate Research Group, Department of Atmospheric Sciences, University of Illinois at Urbana-Champaign, IL, no date).
35. 2 and climate-importance of the transient response. J. Geophys. Res. 86 (1981) 3135-3147
36. Sokolov A.P., Forest C.E., and Stone P.H. Comparing oceanic heat uptake in AOGCM transient climate change experiments. J. Climate 16 (2003) 1573-1582
37. Stainforth D.A., Aina T., Christensen C., Collins M., Faull N., Frame D.J., Kettleborough J.A., Knight S., Martin A., Murphy J.M., Piani C., Sexton D., Smith L.A., Spicer R.A., Thorpe A.J., and Allen M.R. Uncertainty in predictions of the climate response to rising levels of greenhouse gases. Nature 433 (2005) 403-406
38. Stern D.I. Global sulfur emissions from 1850 to 2000. Chemosphere 58 (2005) 163-175
39. Stern D.I., and Kaufmann R.K. Detecting a global warming signal in hemispheric temperature series: a structural time series analysis. Climatic Change 47 (2000) 411-438
40. Theil H. Economic Forecasts and Policy (1961), North-Holland, Amsterdam
41. Wigley T.M.L., and Raper S.C.B. Implications for climate and sea level of revised IPCC emissions scenarios. Nature 357 (1992) 293-300