A.: Nonlinear atmospheric teleconnections

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...

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Bibliographic Details
Main Authors: William W. Hsieh, Aiming Wu, Amir Shabbar
Other Authors: The Pennsylvania State University CiteSeerX Archives
Format: Text
Language:English
Published: 2006
Subjects:
Arctic
Online Access:http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.217.3190
http://www.ocgy.ubc.ca/~william/Pubs/Hsieh_GRL.pdf
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Summary: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. 1.

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