On the prediction of ENSO: a study with a low-order Markov model
By: Yan Xue, M. A. Cane, S. E. Zebiak and M. B. Blumenthal
References
-
Barnett
, T., Graham, N., Cane, M. A., Zebiak, S. E., Dolan, S., O’Brien, J. J.and Legler, D. . One the prediction of the El Niño of 1986-1987. Science, 192– 196. -
Barnett
, T. P., Latif, M., Graham, N., Flügel, M., Pazon, S.and White, W. . ENSO and ENSO related predictability, part I, Prediction of equatorial Pacific sea surface temperature with a hybrid coupled ocean-atmosphere model. J. Climate, 1545– 1566. -
Barnston
, A. G.and Ropelewski, C. F. . Prediction of ENSO episodes using Canonical Correlation Analysis. J. Climate, 1316– 1345. -
Battisti
, D. S.and Hirst, A. C. . Interannual variability in a tropical atmosphere/ocean model: Influence of the basic state, ocean geometry and non-linearity. J. Atmos. Sci. 46, 1687– 1712. -
Blumenthal
, M. B. . Predictability of a coupled ocean-atmosphere model. J. Climate, 766– 784. -
Blumenthal
, M. B., Xue, Y.and Cane, M. A. . Predictability of an ocean/atmosphere model using adjoint model analysis. Proceedings of a workshop held at EC MWF on New developments in predictability, (November), pp.- 304. -
Cane
, M. A., Zebiak, S. E.and Dolan, S. C. . Experimental forecasts of EL Niño. Nature, 827– 832. -
Cane
, M. A. . Forecasting El Niño with a geophysical model. Teleconnections linking worldwide climate anomalies. M., R. W., and N. Nicholls( eds.). Cambridge University Press. -
Farrell
, B. . Optimal excitation of baroclinic waves. J. Atmos. Sci. 46, 1193– 1206. -
Goldenberg
, S. B.and O’Brien, J. J. . Time and space variability of tropical Pacific wind stress. Mon. Wea. Rev. 109, 1190– 1207. -
Goswami
, B. N.and Shukla, J. . Predictability of a coupled ocean-atmosphere model. J. Climate, 3– 22. -
Graham
, N. E., Michaelsen, J.and Barnett, T. P. . An investigation of the El Niño-southern Oscillation cycle with statistical models (1). Predictor field characteristics. J. Geophys. Res. 92, C13, 14251– 14270. -
Graham
, N. E., Michaelsen, J.and Barnett, T. P. . An investigation of the El Niño-southern Oscillation cycle with statistical models (2). Model results. J. Geophys. Res. 92, C13, 14271– 14289. -
Graham
, N. E., Barnett, T. P.and Latif, M. . Considerations of the predictability of ENSO with a low order coupled model. TOGA Notes, 11-15 April. -
Hasselmann
, K. . PIPs and POPs. The reduction of complex dynamical systems using principal interaction and oscillation patterns. J. Geophys. Res. 93, 11015– 11021. -
Lacarra
, J.-F.and Talagrand, O. . Short-range evolution of small perturbations in a barotropic model., 81- 95. -
Latif
, M., Barnett, T. P., Cane, M. A., Flügel, M., Graham, N. E., Von Storch, H., Xu, J.-S.and Zebiak, S. E. . A review of ENSO prediction studies. Climate Dynamics, 167– 179. -
Mureau
, R., Molteni, F.and Palmer, T. N. . Ensemble prediction using dynamically-conditioned perturbations. Q. J. R. Meteor. Soc. 119, 299– 324. -
Molteni
, F.and Palmer, T. N. . Predictability and finite-time instability of the northern winter circulation. Q. J. R. Meteor. Soc. 119, 269– 298. -
Penland
, C.and Magorian, T. . Prediction of NINO3 sea surface temperatures using linear inverse modeling. J. Climate, 1067– 1076. -
Reynolds
, R. W. . A real-time global sea surface temperature analysis. J. Climate, 75– 86. -
Xu
, J.-S.and Von Storch, H. . Predicting the state of the Southern Oscillation using principal oscillation pattern analysis. J. Climate, 1316– 1329. -
Webster
, P. J.and Yang, S. . Monsoon and ENSO: selectively interactive systems. Q. J. R. Meteor. Soc. 118, 877– 926. -
Zebiak
, S. E.and Cane, M. A. . A model EL Niño-Southern Oscillation. Mon. Wea. Rev. 115, 2262– 2278.
DOI: https://doi.org/10.3402/tellusa.v46i4.15641 | Journal eISSN: 3035-9554
Language: English
Page range: 512 - 528
Submitted on: Aug 13, 1993
Accepted on: Feb 22, 1994
Published on: Jan 1, 1994
Published by: Stockholm University Press
In partnership with: Paradigm Publishing Services
© 1994 Yan Xue, M. A. Cane, S. E. Zebiak, M. B. Blumenthal, published by Stockholm University Press
This work is licensed under the Creative Commons Attribution 4.0 License.