A Genetic algorithm method for locating the Gulf Stream north wall

Details

• Personal Author:
  Grumbine, Robert ; Sims, Jamese D.
• Corporate Authors:
  National Centers for Environmental Prediction (U.S.) ; Environmental Modeling Center (U.S.)
• NOAA Program & Office:
  NWS (National Weather Service) ; EMC (Environmental Modelling Center) ; NCEP (National Centers for Environmental Prediction)
• Description:
  Genetic algorithms are a tool for solving problems, particularly where there are many possible good solutions and it is relatively easy to tell when you have found one but hard to decide what will produce the best solution beforehand. Locating the North Wall of the Gulf Stream is such a problem. We demonstrate the application of Genetic Algorithms to this problem, as has been applied in NWS operations since 2003 in support of ocean forecasting.
• Keywords:
  • Gulf stream
  • Genetic algorithm
• Series:
  Technical note ; 311
• Format:
  pdf
• Document Type:
  Technical Note
• License:
  https://creativecommons.org/publicdomain/zero/1.0/
• Rights Information:
  CC0 Public Domain
• Compliance:
  Submitted
• Download URL:
  https://repository.library.noaa.gov/view/noaa/73436/noaa_73436_DS1.pdf
• File Type:
  [PDF - 312.49 KB]
• Collection(s):
  National Weather Service (NWS)
• Main Document Checksum:
  urn:sha-512:d0d775d599903ea040c0b322c1b0810a099d255656e165e139d29b371403d5dec233733618830ea5376a8cdfbeeb5c19e9b2227bd3446faec4f1e4e708a3311c