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Campo DC | Valor | Lengua/Idioma |
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dc.contributor.author | Pascual, Ananda | - |
dc.contributor.author | Orfila, Alejandro | - |
dc.contributor.author | Álvarez-Díaz, Alberto | - |
dc.contributor.author | Hernández-García, Emilio | - |
dc.contributor.author | Gomila, Damià | - |
dc.contributor.author | Barth, Alexander | - |
dc.contributor.author | Tintoré, Joaquín | - |
dc.date.accessioned | 2009-11-17T09:08:12Z | - |
dc.date.available | 2009-11-17T09:08:12Z | - |
dc.date.issued | 2002-01-01 | - |
dc.identifier.citation | Proceedings SPIE 454: 11-23 (2002) | en_US |
dc.identifier.isbn | 0-8194-4269-0 | - |
dc.identifier.uri | http://hdl.handle.net/10261/18707 | - |
dc.description | En: Conference Remote Sensing of the Ocean and Sea Ice 2001, 20-09-2001, Toulouse, France. Eds. Charles R. Bostater, Jr., Rosalia Santoleri.-- 13 pages, 12 figures, 1 table.-- Published Online: 7 April 2003.-- Pre-print archive: http://wwwimedea.uib.es/oceanography/projects/soft/ | en_US |
dc.description.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 proposed: (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 from the past ocean variability (provided by satellite data) 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. | en_US |
dc.description.sponsorship | This work has been carried out as part of the SOFT project funded by the E. C. under contract: EVK3-CT-2000-00028. Ananda Pascual holds a doctoral fellowship from Universitat de les Illes Balears. We thank Vicente Fernandez for his fruitful comments on the interpretation of EOFs patterns related to the Mediterranean circulation. | en_US |
dc.format.extent | 823991 bytes | - |
dc.format.mimetype | application/pdf | - |
dc.language.iso | eng | en_US |
dc.publisher | The International Society for Optics and Photonics | en_US |
dc.relation.ispartofseries | Remote sensing of the ocean and sea ice 2001 | en_US |
dc.rights | openAccess | en_US |
dc.subject | Forecasting | en_US |
dc.subject | Satellite data | en_US |
dc.subject | Empirical orthogonal functions | en_US |
dc.subject | Numerical models | en_US |
dc.subject | Genetic algorithms | en_US |
dc.subject | Neural networks | en_US |
dc.subject | Mediterranean Sea | en_US |
dc.title | SOFT project: a new forecasting system based on satellite data | en_US |
dc.type | capítulo de libro | en_US |
dc.identifier.doi | 10.1117/12.452764 | - |
dc.description.peerreviewed | Peer reviewed | en_US |
dc.relation.publisherversion | http://dx.doi.org/10.1117/12.452764 | en_US |
dc.type.coar | http://purl.org/coar/resource_type/c_3248 | es_ES |
item.openairetype | capítulo de libro | - |
item.grantfulltext | open | - |
item.cerifentitytype | Publications | - |
item.openairecristype | http://purl.org/coar/resource_type/c_18cf | - |
item.fulltext | With Fulltext | - |
item.languageiso639-1 | en | - |
Aparece en las colecciones: | (IFISC) Libros y partes de libros (IMEDEA) Libros y partes de libros |
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