Genetic Programming for Estimation of Heat Flux between the Atmosphere and Sea Ice in Polar Regions

Created by W.Langdon from gp-bibliography.bib Revision:1.4524

  author =       "Karolina Stanislawska and Krzysztof Krawiec and 
                 Timo Vihma",
  title =        "Genetic Programming for Estimation of Heat Flux
                 between the Atmosphere and Sea Ice in Polar Regions",
  booktitle =    "GECCO '15: Proceedings of the 2015 Annual Conference
                 on Genetic and Evolutionary Computation",
  year =         "2015",
  editor =       "Sara Silva and Anna I Esparcia-Alcazar and 
                 Manuel Lopez-Ibanez and Sanaz Mostaghim and Jon Timmis and 
                 Christine Zarges and Luis Correia and Terence Soule and 
                 Mario Giacobini and Ryan Urbanowicz and 
                 Youhei Akimoto and Tobias Glasmachers and 
                 Francisco {Fernandez de Vega} and Amy Hoover and Pedro Larranaga and 
                 Marta Soto and Carlos Cotta and Francisco B. Pereira and 
                 Julia Handl and Jan Koutnik and Antonio Gaspar-Cunha and 
                 Heike Trautmann and Jean-Baptiste Mouret and 
                 Sebastian Risi and Ernesto Costa and Oliver Schuetze and 
                 Krzysztof Krawiec and Alberto Moraglio and 
                 Julian F. Miller and Pawel Widera and Stefano Cagnoni and 
                 JJ Merelo and Emma Hart and Leonardo Trujillo and 
                 Marouane Kessentini and Gabriela Ochoa and Francisco Chicano and 
                 Carola Doerr",
  isbn13 =       "978-1-4503-3472-3",
  pages =        "1279--1286",
  keywords =     "genetic algorithms, genetic programming, Real World
  month =        "11-15 " # jul,
  organisation = "SIGEVO",
  address =      "Madrid, Spain",
  URL =          "",
  DOI =          "doi:10.1145/2739480.2754675",
  publisher =    "ACM",
  publisher_address = "New York, NY, USA",
  abstract =     "The Earth surface and atmosphere exchange heat via
                 turbulent fluxes. An accurate description of the heat
                 exchange is essential in modelling the weather and
                 climate. In these models the heat fluxes are described
                 applying the Monin-Obukhov similarity theory, where the
                 flux depends on the air-surface temperature difference
                 and wind speed. The theory makes idealized assumptions
                 and the resulting estimates often have large errors.
                 This is the case particularly in conditions when the
                 air is warmer than the Earth surface, i.e., the
                 atmospheric boundary layer is stably stratified, and
                 turbulence is therefore weak. This is a common
                 situation over snow and ice in the Arctic and
                 Antarctic. In this paper, we present alternative models
                 for heat flux estimation evolved by means of genetic
                 programming (GP). To this aim, we use the best heat
                 flux data collected in the Arctic and Antarctic sea ice
                 zones. We obtain GP models that are more accurate,
                 robust, and conceptually novel from the viewpoint of
                 meteorology. Contrary to the Monin-Obukhov theory, the
                 GP equations are not solely based on the air-surface
                 temperature difference and wind speed, but include also
                 radiative fluxes that improve the performance of the
                 method. These results open the door to a new class of
                 approaches to heat flux prediction with potential
                 applications in weather and climate models.",
  notes =        "Also known as \cite{2754675} GECCO-2015 A joint
                 meeting of the twenty fourth international conference
                 on genetic algorithms (ICGA-2015) and the twentith
                 annual genetic programming conference (GP-2015)",

Genetic Programming entries for Karolina Stanislawska Krzysztof Krawiec Timo Vihma