SOFT project: a new forecasting system based on satellite data

Created by W.Langdon from gp-bibliography.bib Revision:1.8120

@InProceedings{Pascual:2001:SPIE,

• author = "Ananda Pascual and Alejandro Orfila and Alberto Alvarez and Emilio Hernandez-Garcia and Damia Gomis and Alexander Barth and Joaquin Tintore",
• title = "SOFT project: a new forecasting system based on satellite data",
• booktitle = "Remote Sensing of the Ocean and Sea Ice",
• year = "2001",
• editor = "Charles R. {Bostater, Jr.} and Rosalia Santoleri",
• volume = "4544",
• series = "SPIE",
• pages = "11--23",
• organisation = "SPIE",
• keywords = "genetic algorithms, genetic programming, forecasting, satellite data, empirical orthogonal functions, numerical models, neural networks, Mediterranean Sea",
• URL = "http://www.imedea.csic.es/goifis/WEB/PUBLICACIONES/downfile.php?fid=2705",
• DOI = "doi:10.1117/12.452764",
• size = "13 pages",
• abstract = "The aim of the SOFT project is to develop a new ocean forecasting system by using a combination of satellite data, evolutionary programming and numerical ocean models. To achieve this objective two steps are proved: (1) to obtain an accurate ocean forecasting system using genetic algorithms based on satellite data; and (2) to integrate the above new system into existing deterministic numerical models. Evolutionary programming will be employed to build 'intelligent' systems that, learning form the past ocean variability and considering the present ocean state, will be able to infer near future ocean conditions. Validation of the forecast skill will be carried out by comparing the forecasts fields with satellite and in situ observations. Validation with satellite observations will provide the expected errors in the forecasting system. Validation with in situ data will indicate the capabilities of the satellite based forecast information to improve the performance of the numerical ocean models. This later validation will be accomplished considering in situ measurements in a specific oceanographic area at two different periods of time. The first set of observations will be employed to feed the hybrid systems while the second set will be used to validate the hybrid and traditional numerical model results.",
• notes = "Gibraltar, El Nino. SPIE Proceedings Paper.",

}

Genetic Programming entries for Ananda Pascual Alejandro Orfila Alberto Alvarez Diaz Emilio Hernandez-Garcia Damia Gomis Alexander Barth Joaquin Tintore

Citations