Mathematics – Complex Variables
Scientific paper
Nov 2004
adsabs.harvard.edu/cgi-bin/nph-data_query?bibcode=2004georl..3121201r&link_type=abstract
Geophysical Research Letters, Volume 31, Issue 21, CiteID L21201
Mathematics
Complex Variables
1
Oceanography: General: Climate And Interannual Variability (3309), Meteorology And Atmospheric Dynamics: Ocean/Atmosphere Interactions (0312, 4504), Meteorology And Atmospheric Dynamics: Climatology (1620), Oceanography: Physical: El Nino, Oceanography: Physical: Air/Sea Interactions (0312)
Scientific paper
Complex principal component analysis (CPCA) is a linear multivariate technique commonly applied to complex variables or 2-dimensional vector fields such as winds or currents. A new nonlinear CPCA (NLCPCA) method has been developed via complex-valued neural networks. NLCPCA is applied to the tropical Pacific wind field to study the interannual variability. Compared to the CPCA mode 1, the NLCPCA mode 1 is found to explain more variance and reveal the asymmetry in the wind anomalies between El Niño and La Niña states.
Hsieh William W.
Rattan Sanjay S. P.
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