Genetic Programming for Downscaling Extreme Rainfall Events

Created by W.Langdon from gp-bibliography.bib Revision:1.4192

  author =       "Sahar Hadipour and Shamsuddin Shahid and 
                 Sobri {bin Harun} and Xiao-Jun Wang",
  booktitle =    "1st International Conference on Artificial
                 Intelligence, Modelling and Simulation (AIMS 2013)",
  title =        "Genetic Programming for Downscaling Extreme Rainfall
  year =         "2013",
  month =        dec,
  pages =        "331--334",
  abstract =     "Downscaling extreme rainfall events is a major
                 challenge in climate change study. A Genetic
                 Programming (GP) based method is used in this article
                 for the downscaling of extreme rainfall events in the
                 East coast of peninsular Malaysia during northeast
                 monsoon season. The principal components of Global
                 Circulation Model (GCM) parameters at four points
                 surrounding the study area are used as predictors. Four
                 GP models are developed for the prediction of rainy
                 days and extreme rainfall events such as rainfall more
                 than 99 percentile, rainfall more than 95 percentile
                 and rainfall more than 90 percentile in a year. All
                 possible numerical, logical and trigonometric operators
                 are used to find multi-level GP models for the
                 downscaling. Daily rainfall data during monsoon season
                 for the time periods 1961-1990 and 1991-2000 are used
                 for model calibration and validation, respectively. The
                 results show that the models can predict extreme
                 rainfall events in the East coast of Malaysia with
                 reasonable accuracy.",
  keywords =     "genetic algorithms, genetic programming",
  DOI =          "doi:10.1109/AIMS.2013.61",
  notes =        "Fac. of Civil Eng., Univ. Teknol. Malaysia, Skudai,

                 Research Center for Climate Change, Ministry of Water
                 Resources, Nanjing, 210029, China.

                 Also known as \cite{6959939}",

Genetic Programming entries for Sahar Hadipour Shamsuddin Shahid Sobri bin Harun Xiao-Jun Wang