Forecasting the SST space-time variability of the Alboran Sea with genetic algorithms
chao-dyn
2015-06-24 v1 Chaotic Dynamics
Atmospheric and Oceanic Physics
Abstract
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 behaviour of the different temporal amplitude functions in the EOF decomposition and, therefore, enables global forecasting of the future time-variability.
Keywords
Cite
@article{arxiv.chao-dyn/9911012,
title = {Forecasting the SST space-time variability of the Alboran Sea with genetic algorithms},
author = {Alberto Alvarez and Cristobal Lopez and Margalida Riera and Emilio Hernandez-Garcia and Joaquin Tintore},
journal= {arXiv preprint arXiv:chao-dyn/9911012},
year = {2015}
}
Comments
15 pages, 3 figures; latex compiled with agums.sty