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AGU: Geophysical Research Letters

 

Index Terms

  • Computational Geophysics: Neural networks, fuzzy logic, machine learning
  • Global Change: Climate variability
  • Global Change: Climate dynamics
  • Nonlinear Geophysics
  • Oceanography: Physical: ENSO

Abstract

GEOPHYSICAL RESEARCH LETTERS, VOL. 33, L07714, 4 PP., 2006
doi:10.1029/2005GL025471

Nonlinear atmospheric teleconnections

William W. Hsieh

Department of Earth and Ocean Sciences, University of British Columbia, Vancouver, British Columbia, Canada

Aiming Wu

Department of Earth and Ocean Sciences, University of British Columbia, Vancouver, British Columbia, Canada

Amir Shabbar

Environment Canada, Toronto, Ontario, Canada

Neural network models are used to reveal the nonlinear winter atmospheric teleconnection patterns associated with the El Niño-Southern Oscillation (ENSO) and with the Arctic Oscillation (AO) over the N. Hemisphere. The nonlinear teleconnections (for surface air temperature, precipitation, sea level pressure and 500 hPa geopotential height) are found to relate quadratically to the ENSO and AO indices. Relative to linear teleconnections, nonlinear teleconections appear to propagate perturbations farther, into regions where classical linear teleconnections are insignificant.

Received 12 December 2005; accepted 6 March 2006; published 12 April 2006.

Citation: Hsieh, W. W., A. Wu, and A. Shabbar (2006), Nonlinear atmospheric teleconnections, Geophys. Res. Lett., 33, L07714, doi:10.1029/2005GL025471.

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