Forecasting the SST space-time variability of the Alboran Sea with genetic algorithms

Details Forecasting the SST space-time variability of the Alboran Sea with genetic algorithms Forecasting the SST space-time variability of the Alboran Sea with genetic algorithms

Sep 2000

adsabs.harvard.edu/cgi-bin/nph-data_query?bibcode=2000georl..27.2709a&link_type=abstract

Geophysical Research Letters, Volume 27, Issue 17, p. 2709-2712

Physics

Geophysics

23

Mathematical Geophysics: Nonlinear Dynamics, Mathematical Geophysics: Chaos, Meteorology And Atmospheric Dynamics: Remote Sensing, Oceanography: General: Ocean Prediction

Scientific paper

We propose a nonlinear ocean forecasting technique based on a combination of genetic algorithms and empirical orthogonal function (EOF) analysis. The method is used to forecast the space-time variability of the sea surface temperature (SST) in the Alboran Sea. The genetic algorithm finds the equations that best describe the behavior of the different temporal amplitude functions in the EOF decomposition and, therefore, enables global forecasting of the future time-variability.

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