Paper
14 January 2002 SOFT project: a new forecasting system based on satellite data
Ananda Pascual, A. Orfila, Alberto Alvarez, E. Hernandez, D. Gomis, Alexander Barth, Joaquim Tintore
Author Affiliations +
Proceedings Volume 4544, Remote Sensing of the Ocean and Sea Ice 2001; (2002) https://doi.org/10.1117/12.452764
Event: International Symposium on Remote Sensing, 2001, Toulouse, France
Abstract
The aim of the SOFT project is to develop a new ocean forecasting system by using a combination of satellite dat, 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.
© (2002) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Ananda Pascual, A. Orfila, Alberto Alvarez, E. Hernandez, D. Gomis, Alexander Barth, and Joaquim Tintore "SOFT project: a new forecasting system based on satellite data", Proc. SPIE 4544, Remote Sensing of the Ocean and Sea Ice 2001, (14 January 2002); https://doi.org/10.1117/12.452764
Lens.org Logo
CITATIONS
Cited by 1 scholarly publication.
Advertisement
Advertisement
RIGHTS & PERMISSIONS
Get copyright permission  Get copyright permission on Copyright Marketplace
KEYWORDS
Satellites

Data modeling

Systems modeling

Computer programming

Intelligence systems

Earth observing sensors

Genetic algorithms

Back to Top