Nonlinear atmospheric teleconnections

Details Nonlinear atmospheric teleconnections Nonlinear atmospheric teleconnections

Apr 2006

adsabs.harvard.edu/cgi-bin/nph-data_query?bibcode=2006georl..3307714h&link_type=abstract

Geophysical Research Letters, Volume 33, Issue 7, CiteID L07714

Statistics

Computation

5

Computational Geophysics: Neural Networks, Fuzzy Logic, Machine Learning, Global Change: Climate Variability (1635, 3305, 3309, 4215, 4513), Global Change: Climate Dynamics (0429, 3309), Nonlinear Geophysics (3200, 6944, 7839), Oceanography: Physical: Enso (4922)

Scientific paper

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.

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