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Volumn 11, Issue 1, 1998, Pages 29-41

Forecasting ENSO events: A neural network-extended EOF approach

Author keywords

[No Author keywords available]

Indexed keywords

EL NINO/SOUTHERN OSCILLATION; EMPIRICAL ORTHOGONAL FUNCTION; NEURAL NETWORK; SEA SURFACE TEMPERATURE; WEATHER FORECASTING;

EID: 0031777214     PISSN: 08948755     EISSN: None     Source Type: Journal    
DOI: 10.1175/1520-0442(1998)011<0029:FEEANN>2.0.CO;2     Document Type: Article
Times cited : (108)

References (35)
  • 1
    • 0021543945 scopus 로고
    • Prediction of the El Niño of 1982-83
    • Barnett, T. P., 1984: Prediction of the El Niño of 1982-83. Mon. Wea. Rev., 112, 1043-1047.
    • (1984) Mon. Wea. Rev. , vol.112 , pp. 1043-1047
    • Barnett, T.P.1
  • 2
    • 0022266348 scopus 로고
    • Variations in near global sea level pressure
    • _, 1985: Variations in near global sea level pressure J. Atmos. Sci. 42, 478-501.
    • (1985) J. Atmos. Sci. , vol.42 , pp. 478-501
  • 3
    • 0000959613 scopus 로고
    • The interaction of multiple time series in the tropical climate system
    • _, 1991: The interaction of multiple time series in the tropical climate system. J. Climate. 4, 269-285.
    • (1991) J. Climate , vol.4 , pp. 269-285
  • 4
    • 0027070241 scopus 로고
    • Prediction of ENSO episodes using canonical correlation analysis
    • Barnston, A., and C. F. Ropelewski, 1992: Prediction of ENSO episodes using canonical correlation analysis. J. Climate, 5, 1316-1345.
    • (1992) J. Climate , vol.5 , pp. 1316-1345
    • Barnston, A.1    Ropelewski, C.F.2
  • 5
    • 0028669614 scopus 로고
    • Long-lead seasonal forecasts - Where do we stand?
    • _, and Coauthors, 1994: Long-lead seasonal forecasts - Where do we stand? Bull. Amer. Meteor. Soc., 75, 2097-2114.
    • (1994) Bull. Amer. Meteor. Soc. , vol.75 , pp. 2097-2114
  • 6
    • 0003094052 scopus 로고
    • Generalization performance of overtrained back-propagation
    • L., B. Almedia and C. J. Wellekens, Eds., Springer-Verlag
    • Chauvin, Y., 1989: Generalization performance of overtrained back-propagation. Proc. Eurasip Workshop on Neural Networks. L., B. Almedia and C. J. Wellekens, Eds., Springer-Verlag, 46-55
    • (1989) Proc. Eurasip Workshop on Neural Networks , pp. 46-55
    • Chauvin, Y.1
  • 7
    • 0029475787 scopus 로고
    • An improved procedure for El Nino forecasting: Implications for predictability
    • Chen, D., S. E. Zebiak, A. J. Busalacchi, and M. A. Cane, 1995: An improved procedure for El Nino forecasting: Implications for predictability. Science, 269, 1699-1702.
    • (1995) Science , vol.269 , pp. 1699-1702
    • Chen, D.1    Zebiak, S.E.2    Busalacchi, A.J.3    Cane, M.A.4
  • 8
    • 0026448657 scopus 로고
    • Nonlinear prediction, chaos, and noise
    • Elsner, J. B., and A. A. Tsonis, 1992: Nonlinear prediction, chaos, and noise Bull. Amer. Meter. Soc., 73, 49-60.
    • (1992) Bull. Amer. Meter. Soc. , vol.73 , pp. 49-60
    • Elsner, J.B.1    Tsonis, A.A.2
  • 9
    • 84872989857 scopus 로고
    • Corrigendum to "Nonlinear prediction, chaos and noise."
    • _, and _, 1993: Corrigendum to "Nonlinear prediction, chaos and noise." Bull. Amer. Meteor. Soc., 74, 243.
    • (1993) Bull. Amer. Meteor. Soc. , vol.74 , pp. 243
  • 10
    • 0029503797 scopus 로고
    • A multiscale interaction model for the origin of the tropospheric QBO
    • Goswami, B. N., 1995: A multiscale interaction model for the origin of the tropospheric QBO. J. Climate, 8, 524-534.
    • (1995) J. Climate , vol.8 , pp. 524-534
    • Goswami, B.N.1
  • 11
    • 84956694585 scopus 로고
    • An investigation of the El Nino-Southern Oscillation cycle with statistical models, 1, predictor field characteristics
    • Graham, N. E. J. Michaelsen, and T. P. Barnett, 1987a: An investigation of the El Nino-Southern Oscillation cycle with statistical models, 1, predictor field characteristics. J. Geophys. Res., 92 (C13), 14251-14270.
    • (1987) J. Geophys. Res. , vol.92 , Issue.C13 , pp. 14251-14270
    • Graham, N.E.1    Michaelsen, J.2    Barnett, T.P.3
  • 12
    • 0000330233 scopus 로고
    • An investigation of the El Nino-Southern Oscillation cycle with statistical models, 2, model results
    • _, _, and _, 1987b: An investigation of the El Nino-Southern Oscillation cycle with statistical models, 2, model results. J. Geophys. Res., 92 (C13), 14271-14290.
    • (1987) J. Geophys. Res. , vol.92 , Issue.C13 , pp. 14271-14290
  • 13
    • 0023524257 scopus 로고
    • The structure and evolution of seasonal wind anomalies over the near-equaiorial eastern Indian and western Pacific Oceans
    • Gutzler, D. S., and D. E. Harrison, 1987: The structure and evolution of seasonal wind anomalies over the near-equaiorial eastern Indian and western Pacific Oceans. Mon. Wea. Rev., 115, 169-192.
    • (1987) Mon. Wea. Rev. , vol.115 , pp. 169-192
    • Gutzler, D.S.1    Harrison, D.E.2
  • 14
    • 0000991092 scopus 로고
    • Comparing biases for minimal network construction with back-propagation
    • D. S. Touretzky, Ed., Morgan Kaufmann Publishers
    • Hanson, S. J., and L. Y. Part, 1989: Comparing biases for minimal network construction with back-propagation. Advances in Neural Information Processing Systems 1. D. S. Touretzky, Ed., Morgan Kaufmann Publishers, 177-185.
    • (1989) Advances in Neural Information Processing Systems 1 , pp. 177-185
    • Hanson, S.J.1    Part, L.Y.2
  • 15
    • 0024137490 scopus 로고
    • Increased rates of convergence through learning rate adaptation
    • Jacobs, R. A., 1988: Increased rates of convergence through learning rate adaptation. Neural Networks, 1, 295-308.
    • (1988) Neural Networks , vol.1 , pp. 295-308
    • Jacobs, R.A.1
  • 16
    • 0000974760 scopus 로고
    • Generalizing smoothness constraints from discrete samples
    • Ji, C., and D. Psaltis, 1990: Generalizing smoothness constraints from discrete samples. Neural Comput., 2, (2), 188-197.
    • (1990) Neural Comput. , vol.2 , Issue.2 , pp. 188-197
    • Ji, C.1    Psaltis, D.2
  • 17
    • 0001495043 scopus 로고
    • Cross-validation in statistical climate forecast models
    • Michaelsen, J., 1987: Cross-validation in statistical climate forecast models. J. Climate Appl. Meteor., 26, 1589-1600.
    • (1987) J. Climate Appl. Meteor. , vol.26 , pp. 1589-1600
    • Michaelsen, J.1
  • 18
    • 0028581380 scopus 로고
    • Improved global sea surface temperature analyses using optimum interpolation
    • Reynolds, R. W., and T. M. Smith, 1994: Improved global sea surface temperature analyses using optimum interpolation J. Climate, 7, 929-948.
    • (1994) J. Climate , vol.7 , pp. 929-948
    • Reynolds, R.W.1    Smith, T.M.2
  • 19
    • 0000961736 scopus 로고
    • Observed tropospheric biennial variability and its relationship to the Southern Oscillation
    • Ropelewski, C. F., M. S. Halpert, and X. Wang, 1992: Observed tropospheric biennial variability and its relationship to the Southern Oscillation. J. Climate, 5, 594-614.
    • (1992) J. Climate , vol.5 , pp. 594-614
    • Ropelewski, C.F.1    Halpert, M.S.2    Wang, X.3
  • 22
    • 0030485372 scopus 로고    scopus 로고
    • Reconstruction of historical sea surface temperatures using empirical orthogonal functions
    • Smith, T. M., R. W. Reynolds, R. E. Livezey, and D. C. Stokes, 1996: Reconstruction of historical sea surface temperatures using empirical orthogonal functions. J. Climate, 9, 1403-1420.
    • (1996) J. Climate , vol.9 , pp. 1403-1420
    • Smith, T.M.1    Reynolds, R.W.2    Livezey, R.E.3    Stokes, D.C.4
  • 23
    • 0029519567 scopus 로고
    • Periods of linear development of the ENSO cycle and POP forecast experiment
    • Tang, B., 1995: Periods of linear development of the ENSO cycle and POP forecast experiment J. Climate, 8, 582-691.
    • (1995) J. Climate , vol.8 , pp. 582-691
    • Tang, B.1
  • 24
    • 21844503359 scopus 로고
    • A study of Arctic sea ice and sea level pressure duing POP and neural network methods
    • _, G. M. Flato, and G. Holloway, 1994: A study of Arctic sea ice and sea level pressure duing POP and neural network methods. Atmos.-Ocean, 32, 507-529.
    • (1994) Atmos.-Ocean , vol.32 , pp. 507-529
    • Flato, G.M.1    Holloway, G.2
  • 25
    • 0001275437 scopus 로고    scopus 로고
    • Forecasting the equatorial sea surface temperatures by neural network models
    • Tangang, F. T., W. W. Hsieh, and B. Tang, 1997: Forecasting the equatorial sea surface temperatures by neural network models. Climate Dyn., 13, 135-147.
    • (1997) Climate Dyn. , vol.13 , pp. 135-147
    • Tangang, F.T.1    Hsieh, W.W.2    Tang, B.3
  • 26
    • 0032522032 scopus 로고    scopus 로고
    • Forecasting regional sea surface temperatures of the tropical Pacific by neural network models, with wind stress and sea level pressure as predictors
    • _, _, and _, 1998: Forecasting regional sea surface temperatures of the tropical Pacific by neural network models, with wind stress and sea level pressure as predictors. J. Geophys. Res., in press.
    • (1998) J. Geophys. Res., in Press
  • 27
    • 0029412478 scopus 로고
    • Interdecadal changes in EL Nino onset in the last four decades
    • Wang, B., 1995: Interdecadal changes in EL Nino onset in the last four decades, J. Climate, 8, 267-285.
    • (1995) J. Climate , vol.8 , pp. 267-285
    • Wang, B.1
  • 28
    • 0020347855 scopus 로고
    • Examples of extended empirical orthogonal functions
    • Weare, B. C., and J. S. Nasstrom, 1982: Examples of extended empirical orthogonal functions. Mon. Wea. Rev., 110, 481-485.
    • (1982) Mon. Wea. Rev. , vol.110 , pp. 481-485
    • Weare, B.C.1    Nasstrom, J.S.2
  • 29
    • 0343881422 scopus 로고    scopus 로고
    • Time series analysis and prediction
    • P. Smolensky, M. C. Mozer, and D. E. Rumelhart, Eds., Lawrence Earlbaum
    • Weigend, A. S., 1996: Time series analysis and prediction. Mathematical Perspectives on Neural Networks, P. Smolensky, M. C. Mozer, and D. E. Rumelhart, Eds., Lawrence Earlbaum, 395-449.
    • (1996) Mathematical Perspectives on Neural Networks , pp. 395-449
    • Weigend, A.S.1
  • 30
    • 0000057581 scopus 로고
    • Predicting the future: A connectionist approach
    • _, D. E. Rumelhart, and B. A. Hubermann, 1990: Predicting the future: A connectionist approach. Int. J. Neur. Sys., 1, 193-209.
    • (1990) Int. J. Neur. Sys. , vol.1 , pp. 193-209
    • Rumelhart, D.E.1    Hubermann, B.A.2
  • 31
    • 0000539096 scopus 로고
    • Generalization by weight-elimination with application to forecasting. Advances in Neural Information
    • R. Lippmann, J. E. Moody, and D. S. Touretzky, Eds., Morgan Kaufmann Publishers
    • _, _, and _, 1991: Generalization by weight-elimination with application to forecasting. Advances in Neural Information Processing System 3, R. Lippmann, J. E. Moody, and D. S. Touretzky, Eds., Morgan Kaufmann Publishers, 875-882.
    • (1991) Processing System 3 , pp. 875-882
  • 33
    • 0001823075 scopus 로고
    • Comprehensive ocean-atmosphere dataset (COADS) release la: 1980-92
    • _, S. J. Lubker, K. Wolter, S. J. Worley, and J. D. Elms, 1993: Comprehensive ocean-atmosphere dataset (COADS) release la: 1980-92. Earth Syst. Monitor, 4 (1), 1-8.
    • (1993) Earth Syst. Monitor , vol.4 , Issue.1 , pp. 1-8
    • Lubker, S.J.1    Wolter, K.2    Worley, S.J.3    Elms, J.D.4
  • 34
    • 0025590319 scopus 로고
    • Impact of Indian monsoon on the coupled atmosphere/ocean system in the tropical Pacific
    • Yasunari, T., 1990: Impact of Indian monsoon on the coupled atmosphere/ocean system in the tropical Pacific. Meteor. Atmos. Phys., 44, 29-41.
    • (1990) Meteor. Atmos. Phys. , vol.44 , pp. 29-41
    • Yasunari, T.1
  • 35
    • 0030731329 scopus 로고    scopus 로고
    • ENSO-like interdecadal variability: 1900-93
    • Zhang, Y., J. M. Wallace, and D. S. Battisti, 1997: ENSO-like interdecadal variability: 1900-93. J. Climate. 10, 1004-1020.
    • (1997) J. Climate. , vol.10 , pp. 1004-1020
    • Zhang, Y.1    Wallace, J.M.2    Battisti, D.S.3


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.