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Volumn 42, Issue 1, 2004, Pages

Nonlinear multivariate and time series analysis by neural network methods

Author keywords

Canonical correlation analysis; El Ni o; Neural networks; Principal component analysis; Singular spectrum analysis

Indexed keywords

ARTIFICIAL NEURAL NETWORK; DATA PROCESSING; DATA SET; EL NINO-SOUTHERN OSCILLATION; PRINCIPAL COMPONENT ANALYSIS; QUASI-BIENNIAL OSCILLATION; TIME SERIES ANALYSIS;

EID: 1842766765     PISSN: 87551209     EISSN: None     Source Type: Journal    
DOI: 10.1029/2002RG000112     Document Type: Article
Times cited : (129)

References (84)
  • 1
    • 0033793738 scopus 로고    scopus 로고
    • Independent component analysis of multivariate time series: Application to the tropical SST variability
    • Aires, F., A. Chédin, and J. P. Nadal (2000), Independent component analysis of multivariate time series: Application to the tropical SST variability, J. Geophys. Res., 105(D13), 17,437-17,455.
    • (2000) J. Geophys. Res. , vol.105 , Issue.D13 , pp. 17437-17455
    • Aires, F.1    Chédin, A.2    Nadal, J.P.3
  • 2
    • 17844403487 scopus 로고    scopus 로고
    • The quasi-biennial oscillation
    • Baldwin, M., et al. (2001), The quasi-biennial oscillation, Rev. Geophys., 39, 179-229.
    • (2001) Rev. Geophys. , vol.39 , pp. 179-229
    • Baldwin, M.1
  • 3
    • 0000123158 scopus 로고
    • Origins and levels of monthly and seasonal forecast skill for United States surface air temperatures determined by canonical correlation analysis
    • Barnett, T. P., and R. Preisendorfer (1987), Origins and levels of monthly and seasonal forecast skill for United States surface air temperatures determined by canonical correlation analysis, Mon. Weather Rev., 115, 1825-1850.
    • (1987) Mon. Weather Rev. , vol.115 , pp. 1825-1850
    • Barnett, T.P.1    Preisendorfer, R.2
  • 4
    • 0027070241 scopus 로고
    • Prediction of ENSO episodes using canonical correlation analysis
    • Barnston, A. G., and C. F. Ropelewski (1992), Prediction of ENSO episodes using canonical correlation analysis, J. Clim., 5, 1316-1345.
    • (1992) J. Clim. , vol.5 , pp. 1316-1345
    • Barnston, A.G.1    Ropelewski, C.F.2
  • 6
    • 0000825696 scopus 로고
    • An intercomparison of methods for finding coupled patterns in climate data
    • Bretherton, C. S., C. Smith, and J. M. Wallace (1992), An intercomparison of methods for finding coupled patterns in climate data, J. Clim., 5, 541-560.
    • (1992) J. Clim. , vol.5 , pp. 541-560
    • Bretherton, C.S.1    Smith, C.2    Wallace, J.M.3
  • 8
    • 0032875821 scopus 로고    scopus 로고
    • Large-scale circulation anomalies conducive to extreme precipitation events and derivation of daily rainfall in northeastern Mexico and southeastern Texas
    • Cavazos, T. (1999), Large-scale circulation anomalies conducive to extreme precipitation events and derivation of daily rainfall in northeastern Mexico and southeastern Texas, J. Clim., 12, 1506-1523.
    • (1999) J. Clim. , vol.12 , pp. 1506-1523
    • Cavazos, T.1
  • 10
    • 0034010152 scopus 로고    scopus 로고
    • Use of a neural-network-based long-wave radiative-transfer scheme in the ECMWF atmospheric model
    • Chevallier, F., J. J. Morcrette, F. Cheruy, and N. A. Scott (2000), Use of a neural-network-based long-wave radiative-transfer scheme in the ECMWF atmospheric model, Q. J. R. Meteorol. Soc., 126, 761-776.
    • (2000) Q. J. R. Meteorol. Soc. , vol.126 , pp. 761-776
    • Chevallier, F.1    Morcrette, J.J.2    Cheruy, F.3    Scott, N.A.4
  • 11
    • 0028416938 scopus 로고
    • Independent component analysis - A new concept?
    • Comon, P. (1994), Independent component analysis-A new concept?, Signal Process., 36, 287-314.
    • (1994) Signal Process. , vol.36 , pp. 287-314
    • Comon, P.1
  • 12
    • 0024861871 scopus 로고
    • Approximation by superpositions of a sigmoidal function
    • Cybenko, G. (1989), Approximation by superpositions of a sigmoidal function, Math. Control Signals Syst., 2, 303-314.
    • (1989) Math. Control Signals Syst. , vol.2 , pp. 303-314
    • Cybenko, G.1
  • 13
    • 0033189913 scopus 로고    scopus 로고
    • Nonlinear principal component analysis for the radiometric inversion of atmospheric profiles by using neural networks
    • Del Frate, F., and G. Schiavon (1999), Nonlinear principal component analysis for the radiometric inversion of atmospheric profiles by using neural networks, IEEE Trans. Geosci. Remote Sens., 37, 2335-2342.
    • (1999) IEEE Trans. Geosci. Remote Sens. , vol.37 , pp. 2335-2342
    • Del Frate, F.1    Schiavon, G.2
  • 16
    • 0343807201 scopus 로고    scopus 로고
    • Identification and classification of multiple reflections with self-organizing maps
    • Essenreiter, R., M. Karrenbach, and S. Treitel (2001), Identification and classification of multiple reflections with self-organizing maps, Geophys. Prospect., 49, 341-352.
    • (2001) Geophys. Prospect. , vol.49 , pp. 341-352
    • Essenreiter, R.1    Karrenbach, M.2    Treitel, S.3
  • 17
    • 0032146239 scopus 로고    scopus 로고
    • Artificial neural networks (the multilayer perceptron) - A review of applications in the atmospheric sciences
    • Gardner, M. W, and S. R. Dorling (1998), Artificial neural networks (the multilayer perceptron)-A review of applications in the atmospheric sciences, Atmos. Environ., 32, 2627-2636.
    • (1998) Atmos. Environ. , vol.32 , pp. 2627-2636
    • Gardner, M.W.1    Dorling, S.R.2
  • 18
    • 0033208449 scopus 로고    scopus 로고
    • The use of SSM/ I data in operational marine analysis
    • Gemmill, W. H, and V. M. Krasnopolsky (1999), The use of SSM/ I data in operational marine analysis, Weather Forecasting, 14, 789-800.
    • (1999) Weather Forecasting , vol.14 , pp. 789-800
    • Gemmill, W.H.1    Krasnopolsky, V.M.2
  • 19
    • 0036523708 scopus 로고    scopus 로고
    • Advanced spectral methods for climatic time series
    • doi:10.1029/ 2000RG000092
    • Ghil, M., et al. (2002), Advanced spectral methods for climatic time series, Rev. Geophys., 40(1), 1003, doi:10.1029/ 2000RG000092.
    • (2002) Rev. Geophys. , vol.40 , Issue.1 , pp. 1003
    • Ghil, M.1
  • 21
    • 0041171306 scopus 로고    scopus 로고
    • Dynamics of the tropical middle atmosphere: A tutorial review
    • Hamilton, K. (1998), Dynamics of the tropical middle atmosphere: A tutorial review, Atmos. Ocean, 36, 319-354.
    • (1998) Atmos. Ocean , vol.36 , pp. 319-354
    • Hamilton, K.1
  • 22
    • 32244442944 scopus 로고    scopus 로고
    • Representation of the QBO in the tropical stratospheric wind by nönlinear principal component analysis
    • doi:10.1029/ 2001JD001250
    • Hamilton, K., and W. W. Hsieh (2002), Representation of the QBO in the tropical stratospheric wind by nönlinear principal component analysis, J. Geophys. Res., 107(D15), 4232, doi:10.1029/ 2001JD001250.
    • (2002) J. Geophys. Res. , vol.107 , Issue.D15 , pp. 4232
    • Hamilton, K.1    Hsieh, W.W.2
  • 26
    • 0031207768 scopus 로고    scopus 로고
    • El Niño, La Niña and the nonlinearity of their teleconnections
    • Hoerling, M. P., A. Kumar, and M. Zhong (1997), El Niño, La Niña and the nonlinearity of their teleconnections, J. Clim., 10, 1769-1786.
    • (1997) J. Clim. , vol.10 , pp. 1769-1786
    • Hoerling, M.P.1    Kumar, A.2    Zhong, M.3
  • 28
    • 0001641126 scopus 로고
    • The influence of the equatorial quasi-biennial oscillation on the global circulation at 50 mb
    • Holton J. R., and H.-C. Tan (1980), The influence of the equatorial quasi-biennial oscillation on the global circulation at 50 mb, J. Atmos. Sci., 37, 2200-2208.
    • (1980) J. Atmos. Sci. , vol.37 , pp. 2200-2208
    • Holton, J.R.1    Tan, H.-C.2
  • 29
    • 0024880831 scopus 로고
    • Multilayer feedforward networks are universal approximators
    • Hornik, K., M. Stinchcombe, and H. White (1989), Multilayer feedforward networks are universal approximators, Neural Networks, 2, 359-366.
    • (1989) Neural Networks , vol.2 , pp. 359-366
    • Hornik, K.1    Stinchcombe, M.2    White, H.3
  • 30
    • 0034551784 scopus 로고    scopus 로고
    • Nonlinear canonical correlation analysis by neural networks
    • Hsieh, W. W. (2000), Nonlinear canonical correlation analysis by neural networks, Neural Networks, 13, 1095-1105.
    • (2000) Neural Networks , vol.13 , pp. 1095-1105
    • Hsieh, W.W.1
  • 31
    • 0034778304 scopus 로고    scopus 로고
    • Nonlinear principal component analysis by neural networks
    • Ser. A
    • Hsieh, W. W. (2001a), Nonlinear principal component analysis by neural networks, Tellus, Ser. A, 53, 599-615.
    • (2001) Tellus , vol.53 , pp. 599-615
    • Hsieh, W.W.1
  • 32
    • 0035877455 scopus 로고    scopus 로고
    • Nonlinear canonical correlation analysis of the tropical Pacific climate variability using a neural network approach
    • Hsieh, W. W. (2001b), Nonlinear canonical correlation analysis of the tropical Pacific climate variability using a neural network approach, J. Clim., 14, 2528-2539.
    • (2001) J. Clim. , vol.14 , pp. 2528-2539
    • Hsieh, W.W.1
  • 33
    • 0042627875 scopus 로고    scopus 로고
    • Nonlinear singular spectrum analysis of the tropical stratospheric wind
    • Hsieh, W. W., and K. Hamilton (2003), Nonlinear singular spectrum analysis of the tropical stratospheric wind, Q. J. R. Meteorol, Soc., 129, 2367-2382.
    • (2003) Q. J. R. Meteorol. Soc. , vol.129 , pp. 2367-2382
    • Hsieh, W.W.1    Hamilton, K.2
  • 34
    • 0032466364 scopus 로고    scopus 로고
    • Applying neural network models to prediction and data analysis in meteorology and oceanography
    • Hsieh, W. W., and B. Tang (1998), Applying neural network models to prediction and data analysis in meteorology and oceanography, Bull. Am. Meteorol. Soc., 79, 1855-1870.
    • (1998) Bull. Am. Meteorol. Soc. , vol.79 , pp. 1855-1870
    • Hsieh, W.W.1    Tang, B.2
  • 35
    • 0037101737 scopus 로고    scopus 로고
    • Nonlinear multichannel singular spectrum analysis of the tropical Pacific climate variability using a neural network approach
    • doi:10.1029/2001JC000957
    • Hsieh, W. W., and A. Wu (2002), Nonlinear multichannel singular spectrum analysis of the tropical Pacific climate variability using a neural network approach, J. Geophys. Res., 107(C7), 3076, doi:10.1029/2001JC000957.
    • (2002) J. Geophys. Res. , vol.107 , Issue.C7 , pp. 3076
    • Hsieh, W.W.1    Wu, A.2
  • 38
    • 34250922831 scopus 로고
    • The varimax criterion for analytic rotation in factor analysis
    • Kaiser, H. F. (1958), The varimax criterion for analytic rotation in factor analysis, Psychometrika, 23, 187-200.
    • (1958) Psychometrika , vol.23 , pp. 187-200
    • Kaiser, H.F.1
  • 39
    • 0030584218 scopus 로고    scopus 로고
    • Circular nodes in neural networks
    • Kirby, M. J., and R. Miranda (1996), Circular nodes in neural networks, Neural Comp., 8, 390-402.
    • (1996) Neural Comp. , vol.8 , pp. 390-402
    • Kirby, M.J.1    Miranda, R.2
  • 40
    • 0020068152 scopus 로고
    • Self-organized formation of topologically correct feature maps
    • Kohonen, T. (1982), Self-organized formation of topologically correct feature maps, Biol. Cybernetics, 43, 59-69.
    • (1982) Biol. Cybernetics , vol.43 , pp. 59-69
    • Kohonen, T.1
  • 41
    • 0003410791 scopus 로고    scopus 로고
    • Springer-Verlag, New York
    • Kohonen, T. (2001), Self-Organizing Maps, 501 pp., Springer-Verlag, New York.
    • (2001) Self-Organizing Maps , pp. 501
    • Kohonen, T.1
  • 42
    • 0026113980 scopus 로고
    • Nonlinear principal component analysis using autoassociative neural networks
    • Kramer, M. A. (1991), Nonlinear principal component analysis using autoassociative neural networks, AIChE J., 37, 233-243.
    • (1991) AIChE J. , vol.37 , pp. 233-243
    • Kramer, M.A.1
  • 43
    • 0002827385 scopus 로고    scopus 로고
    • Application of neural networks for efficient calculation of sea water density or salinity from the UNESCO equation of state
    • Am. Math. Soc., Providence, R. I
    • Krasnopolsky, V. M., D. Chalikov, L. C. Breaker, and D. Rao (2000), Application of neural networks for efficient calculation of sea water density or salinity from the UNESCO equation of state, in Proceedings of the Second Conference on Artificial Intelligence, pp. 27-30, Am. Math. Soc., Providence, R. I.
    • (2000) Proceedings of the Second Conference on Artificial Intelligence , pp. 27-30
    • Krasnopolsky, V.M.1    Chalikov, D.2    Breaker, L.C.3    Rao, D.4
  • 44
    • 0033485911 scopus 로고    scopus 로고
    • A neural implementation of canonical correlation analysis
    • Lai, P. L., and C. Fyfe (1999), A neural implementation of canonical correlation analysis, Neural Networks, 12, 1391-1397.
    • (1999) Neural Networks , vol.12 , pp. 1391-1397
    • Lai, P.L.1    Fyfe, C.2
  • 45
    • 0034304404 scopus 로고    scopus 로고
    • Kernel and non-linear canonical correlation analysis
    • Lai, P. L., and C. Fyfe (2000), Kernel and non-linear canonical correlation analysis, Int. J. Neural Syst., 10, 365-377.
    • (2000) Int. J. Neural Syst. , vol.10 , pp. 365-377
    • Lai, P.L.1    Fyfe, C.2
  • 46
    • 0000241853 scopus 로고
    • Deterministic nonperiodic flow
    • Lorenz, E. N. (1963), Deterministic nonperiodic flow, J. Atmos. Sci., 20, 130-141.
    • (1963) J. Atmos. Sci. , vol.20 , pp. 130-141
    • Lorenz, E.N.1
  • 47
    • 0031646493 scopus 로고    scopus 로고
    • Limitations of nonlinear PCA as performed with generic neural networks
    • Malthouse, E. C. (1998), Limitations of nonlinear PCA as performed with generic neural networks, IEEE Trans. Neural Networks, 9, 165-173.
    • (1998) IEEE Trans. Neural Networks , vol.9 , pp. 165-173
    • Malthouse, E.C.1
  • 49
    • 0034336496 scopus 로고    scopus 로고
    • A neural network for tornado diagnosis: Managing local minima
    • Marzban, C. (2000), A neural network for tornado diagnosis: Managing local minima, Neural Comput. Appl., 9, 133-141.
    • (2000) Neural Comput. Appl. , vol.9 , pp. 133-141
    • Marzban, C.1
  • 50
    • 51249194645 scopus 로고
    • A logical calculus of the ideas immanent in neural nets
    • McCulloch, W. S., and W. Pitts (1943), A logical calculus of the ideas immanent in neural nets, Bull. Math. Biophys., 5, 115-137.
    • (1943) Bull. Math. Biophys. , vol.5 , pp. 115-137
    • McCulloch, W.S.1    Pitts, W.2
  • 51
    • 0038648412 scopus 로고    scopus 로고
    • Appearance models based on kernel canonical correlation analysis
    • Melzer, T., M. Reiter, and H. Bischof (2003), Appearance models based on kernel canonical correlation analysis, Pattern Recognit., 36, 1961-1971.
    • (2003) Pattern Recognit. , vol.36 , pp. 1961-1971
    • Melzer, T.1    Reiter, M.2    Bischof, H.3
  • 52
    • 0343191447 scopus 로고    scopus 로고
    • Nonlinear principal component analysis by neural networks: Theory and application to the Lorenz system
    • Monahan, A. H. (2000), Nonlinear principal component analysis by neural networks: Theory and application to the Lorenz system, J. Clim., 13, 821-835.
    • (2000) J. Clim. , vol.13 , pp. 821-835
    • Monahan, A.H.1
  • 53
    • 0035863376 scopus 로고    scopus 로고
    • Nonlinear principal component analysis: Tropical Indo-Pacific sea surface temperature and sea level pressure
    • Monahan, A. H. (2001), Nonlinear principal component analysis: Tropical Indo-Pacific sea surface temperature and sea level pressure, J. Clim., 14, 219-233.
    • (2001) J. Clim. , vol.14 , pp. 219-233
    • Monahan, A.H.1
  • 54
    • 0034352452 scopus 로고    scopus 로고
    • A regime view of Northern Hemisphere atmospheric variability and change under global warming
    • Monahan, A. H., J. C. Fyfe, and G. M. Flato (2000), A regime view of Northern Hemisphere atmospheric variability and change under global warming, Geophys. Res. Lett., 27, 1139-1142.
    • (2000) Geophys. Res. Lett. , vol.27 , pp. 1139-1142
    • Monahan, A.H.1    Fyfe, J.C.2    Flato, G.M.3
  • 55
    • 0035866917 scopus 로고    scopus 로고
    • The preferred structure of variability of the Northern Hemisphere atmospheric circulation
    • Monahan, A. H., L. Pandolfo, and J. C. Fyfe (2001), The preferred structure of variability of the Northern Hemisphere atmospheric circulation, Geophys. Res. Lett., 28, 1019-1022.
    • (2001) Geophys. Res. Lett. , vol.28 , pp. 1019-1022
    • Monahan, A.H.1    Pandolfo, L.2    Fyfe, J.C.3
  • 56
    • 1442338671 scopus 로고    scopus 로고
    • Improvements to the nonlinear principal component analysis method, with applications to ENSO and QBO
    • Newbigging, S. C., L. A. Mysak, and W. W. Hsieh (2003), Improvements to the nonlinear principal component analysis method, with applications to ENSO and QBO, Atmos. Ocean, 41, 291-299.
    • (2003) Atmos. Ocean , vol.41 , pp. 291-299
    • Newbigging, S.C.1    Mysak, L.A.2    Hsieh, W.W.3
  • 59
    • 0034028272 scopus 로고    scopus 로고
    • Long term variability in solar wind velocity and IMF intensity and the relationship between solar wind parameters and geomagnetic activity
    • Rangarajan, G. K., and L. M. Barreto (2000), Long term variability in solar wind velocity and IMF intensity and the relationship between solar wind parameters and geomagnetic activity, Earth Planets Space, 52, 121-132.
    • (2000) Earth Planets Space , vol.52 , pp. 121-132
    • Rangarajan, G.K.1    Barreto, L.M.2
  • 61
    • 0022891638 scopus 로고
    • Rotation of principal components
    • Richman, M. B. (1986), Rotation of principal components, J. Clim., 6, 293-335.
    • (1986) J. Clim. , vol.6 , pp. 293-335
    • Richman, M.B.1
  • 64
    • 0000646059 scopus 로고
    • Learning internal representations by error propagation
    • edited by D. E. Rumelhart, J. L. McClelland, and P. R. Group, MIT Press, Cambridge, Mass
    • Rumelhart, D. E., G. E. Hinton, and R. J. Williams (1986), Learning internal representations by error propagation, in Parallel Distributed Processing, vol. 1, edited by D. E. Rumelhart, J. L. McClelland, and P. R. Group, pp. 318-362, MIT Press, Cambridge, Mass.
    • (1986) Parallel Distributed Processing , vol.1 , pp. 318-362
    • Rumelhart, D.E.1    Hinton, G.E.2    Williams, R.J.3
  • 66
    • 0000421521 scopus 로고    scopus 로고
    • Skill of seasonal climate forecasts in Canada using canonical correlation analysis
    • Shabbar, A., and A. G. Barnston (1996), Skill of seasonal climate forecasts in Canada using canonical correlation analysis, Mon. Weather Rev., 124, 2370-2385.
    • (1996) Mon. Weather Rev. , vol.124 , pp. 2370-2385
    • Shabbar, A.1    Barnston, A.G.2
  • 67
    • 0035472340 scopus 로고    scopus 로고
    • Well log calibration of Kohonen-classified seismic attributes using Bayesian logic
    • Taner, M. T., T. Berge, J. A. Walls, M. Smith, G. Taylor, D. Dumas, and M. B. Carr (2001), Well log calibration of Kohonen-classified seismic attributes using Bayesian logic, J. Pet. Geol., 24, 405-416.
    • (2001) J. Pet. Geol. , vol.24 , pp. 405-416
    • Taner, M.T.1    Berge, T.2    Walls, J.A.3    Smith, M.4    Taylor, G.5    Dumas, D.6    Carr, M.B.7
  • 68
    • 0034035880 scopus 로고    scopus 로고
    • Skill comparisons between neural networks and canonical correlation analysis in predicting the equatorial Pacific sea surface temperatures
    • Tang, B. Y., W. W. Hsieh, A. H. Monahan, and F. T. Tangang (2000), Skill comparisons between neural networks and canonical correlation analysis in predicting the equatorial Pacific sea surface temperatures, J. Clim., 13, 287-293.
    • (2000) J. Clim. , vol.13 , pp. 287-293
    • Tang, B.Y.1    Hsieh, W.W.2    Monahan, A.H.3    Tangang, F.T.4
  • 69
    • 0036336475 scopus 로고    scopus 로고
    • Hybrid coupled models of the tropical Pacific-ENSO prediction
    • Tang, Y., and W. W. Hsieh (2002), Hybrid coupled models of the tropical Pacific-ENSO prediction, Clim. Dyn., 19, 343-353.
    • (2002) Clim. Dyn. , vol.19 , pp. 343-353
    • Tang, Y.1    Hsieh, W.W.2
  • 70
    • 0142060686 scopus 로고    scopus 로고
    • Nonlinear modes of decadal and interannual variability of the subsurface thermal structure in the Pacific Ocean
    • doi:10.1029/ 2001JC001236
    • Tang, Y., and W. W. Hsieh (2003), Nonlinear modes of decadal and interannual variability of the subsurface thermal structure in the Pacific Ocean, J. Geophys. Res., 108(C3), 3084, doi:10.1029/ 2001JC001236.
    • (2003) J. Geophys. Res. , vol.108 , Issue.C3 , pp. 3084
    • Tang, Y.1    Hsieh, W.W.2
  • 72
    • 0037379640 scopus 로고    scopus 로고
    • Neural maps in remote sensing image analysis
    • Villmann, T., E. Merenyi, and B. Hammer (2003), Neural maps in remote sensing image analysis, Neural Networks, 16, 389-403.
    • (2003) Neural Networks , vol.16 , pp. 389-403
    • Villmann, T.1    Merenyi, E.2    Hammer, B.3
  • 74
    • 27144450619 scopus 로고    scopus 로고
    • Separation of periodic, chaotic, and random components in solar activity
    • Watari, S. (1996), Separation of periodic, chaotic, and random components in solar activity, Sol. Phys., 168, 413-422.
    • (1996) Sol. Phys. , vol.168 , pp. 413-422
    • Watari, S.1
  • 76
    • 0036793838 scopus 로고    scopus 로고
    • Nonlinear canonical correlation analysis of the tropical Pacific wind stress and sea surface temperature
    • doi:10.1007/s00382-002-0262-8
    • Wu, A., and W. W. Hsieh (2002), Nonlinear canonical correlation analysis of the tropical Pacific wind stress and sea surface temperature, Clim. Dyn., 19, 713-722, doi:10.1007/s00382-002-0262-8.
    • (2002) Clim. Dyn. , vol.19 , pp. 713-722
    • Wu, A.1    Hsieh, W.W.2
  • 77
    • 0347900492 scopus 로고    scopus 로고
    • Nonlinear interdecadal changes of the El Niño-Southern Oscillation
    • doi:10.1007/s00382-003-0361-1
    • Wu, A., and W. W. Hsieh (2003), Nonlinear interdecadal changes of the El Niño-Southern Oscillation, Clim. Dyn., 21, 719-730, doi:10.1007/s00382-003-0361-1.
    • (2003) Clim. Dyn. , vol.21 , pp. 719-730
    • Wu, A.1    Hsieh, W.W.2
  • 78
    • 0042464609 scopus 로고    scopus 로고
    • Nonlinear characteristics of the surface air temperature over Canada
    • doi:10.1029/2001JD001090
    • Wu, A., W. W. Hsieh, and A. Shabbar (2002), Nonlinear characteristics of the surface air temperature over Canada, J. Geophys. Res., 107(D21), 4571, doi:10.1029/2001JD001090.
    • (2002) J. Geophys. Res. , vol.107 , Issue.D21 , pp. 4571
    • Wu, A.1    Hsieh, W.W.2    Shabbar, A.3
  • 79
    • 0041888353 scopus 로고    scopus 로고
    • Nonlinear modes of North American winter climate variability detected from a general circulation model
    • Wu, A., W. W. Hsieh, and F. W. Zwiers (2003), Nonlinear modes of North American winter climate variability detected from a general circulation model, J. Clim., 16, 2325-2339.
    • (2003) J. Clim. , vol.16 , pp. 2325-2339
    • Wu, A.1    Hsieh, W.W.2    Zwiers, F.W.3
  • 81
    • 0033911487 scopus 로고    scopus 로고
    • Neural network training for prediction of climatological time series, regularized by minimization of the generalized cross validation function
    • Yuval, (2000), Neural network training for prediction of climatological time series, regularized by minimization of the generalized cross validation function, Mon. Weather Rev., 128, 1456-1473.
    • (2000) Mon. Weather Rev. , vol.128 , pp. 1456-1473
    • Yuval1
  • 82
    • 0035342886 scopus 로고    scopus 로고
    • Enhancement and error estimation of neural network prediction of Niño 3.4 SST anomalies
    • Yuval (2001), Enhancement and error estimation of neural network prediction of Niño 3.4 SST anomalies, J. Clim., 14, 2150-2163.
    • (2001) J. Clim. , vol.14 , pp. 2150-2163
    • Yuval1
  • 83
    • 0036648212 scopus 로고    scopus 로고
    • The impact of time-averaging on the detectability of nonlinear empirical relations
    • Yuval, and W. W. Hsieh (2002), The impact of time-averaging on the detectability of nonlinear empirical relations, Q. J. R. Meteorol. Soc., 128, 1609-1622.
    • (2002) Q. J. R. Meteorol. Soc. , vol.128 , pp. 1609-1622
    • Yuval1    Hsieh, W.W.2
  • 84
    • 0037983896 scopus 로고    scopus 로고
    • An adaptive nonlinear MOS scheme for precipitation forecasts using neural networks
    • Yuval, and W. W. Hsieh (2003), An adaptive nonlinear MOS scheme for precipitation forecasts using neural networks, Weather Forecasting, 18, 303-310.
    • (2003) Weather Forecasting , vol.18 , pp. 303-310
    • Yuval1    Hsieh, W.W.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.