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Volumn 20, Issue 5-6, 1998, Pages 571-598

Uncertainty propagation within an integrated model of climate change

Author keywords

Computational techniques; Integrated climate model; Stochastic dynamical systems

Indexed keywords

COMPUTATIONAL METHODS; ENVIRONMENTAL ENGINEERING; FORECASTING; MATHEMATICAL MODELS; PROBABILITY DISTRIBUTIONS; RANDOM PROCESSES;

EID: 0032311990     PISSN: 01409883     EISSN: None     Source Type: Journal    
DOI: 10.1016/s0140-9883(98)00014-0     Document Type: Article
Times cited : (15)

References (17)
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    • Cess, R.D.1    Potter, C.G.2    Blanchet, J.P.3
  • 4
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    • The work intensity function in the detection of the greenhouse induced global temperature trends
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    • Gordon, A.H.1
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    • The random nature of drought: Mathematical and physical causes
    • Gordon, A.H., 1993. The random nature of drought: mathematical and physical causes. Int. J. Climatol. 13, 497-507.
    • (1993) Int. J. Climatol. , vol.13 , pp. 497-507
    • Gordon, A.H.1
  • 6
    • 0021639638 scopus 로고
    • A simulation study for the global carbon cycle including main impact on the biosphere
    • Goudriaan, J., Ketner, P., 1984. A simulation study for the global carbon cycle including main impact on the biosphere. Clim. Change 6, 167-192.
    • (1984) Clim. Change , vol.6 , pp. 167-192
    • Goudriaan, J.1    Ketner, P.2
  • 8
    • 84959716453 scopus 로고
    • Houghton, J.T., Callander, B.A., Varney, S.K. (Eds.), Cambridge University Press
    • IPCC, Intergovernmental Panel on Climate Change, 1992. In: Houghton, J.T., Callander, B.A., Varney, S.K. (Eds.), Climate Change: The Supplementary Report to the IPCC Scientific Assessment. Cambridge University Press.
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  • 9
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    • Stochastic sensitivity analysis
    • Irving, A.D., 1992. Stochastic sensitivity analysis. Appl. Mathem. Model. 16, 3-15.
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    • Irving, A.D.1
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    • Monitoring the mount Pinatubo aerosol layer with NOAA-11 AVHRR data
    • Stowe, L.L., Carey, R.M., Pellegrino, P.P., 1992. Monitoring the mount Pinatubo aerosol layer with NOAA-11 AVHRR data. Geophys. Res. Lett. 19, 159-162.
    • (1992) Geophys. Res. Lett. , vol.19 , pp. 159-162
    • Stowe, L.L.1    Carey, R.M.2    Pellegrino, P.P.3
  • 15
    • 0027832511 scopus 로고
    • Global warming and the problem of testing for trend in time series data
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    • Ph.D. Thesis, Depart-ment of Mathematics, University of Maryland Baltimore County, Maryland, USA
    • Zapert, R., 1994. Uncertainty Analysis of Enhanced Greenhouse Effect Models. Ph.D. Thesis, Depart-ment of Mathematics, University of Maryland Baltimore County, Maryland, USA.
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* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.