SOFT project: a new forecasting system based on satellite data

Created by W.Langdon from gp-bibliography.bib Revision:1.3973

@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