Streamflow prediction using multi-site rainfall obtained from hydroclimatic teleconnection

Created by W.Langdon from gp-bibliography.bib Revision:1.3872

@Article{Kashid201023,
  author =       "S. S. Kashid and Subimal Ghosh and Rajib Maity",
  title =        "Streamflow prediction using multi-site rainfall
                 obtained from hydroclimatic teleconnection",
  journal =      "Journal of Hydrology",
  volume =       "395",
  number =       "1-2",
  pages =        "23--38",
  year =         "2010",
  ISSN =         "0022-1694",
  DOI =          "doi:10.1016/j.jhydrol.2010.10.004",
  URL =          "http://www.sciencedirect.com/science/article/B6V6C-51921DB-1/2/1998f2cc7e20cdc0fc4d6f78d8795381",
  keywords =     "genetic algorithms, genetic programming, El Nino
                 Southern Oscillation (ENSO), Equatorial Indian Ocean
                 Oscillation (EQUINOO), Outgoing Longwave Radiation
                 (OLR), Mahanadi River, Hydroclimatic teleconnection",
  abstract =     "Simultaneous variations in weather and climate over
                 widely separated regions are commonly known as
                 hydroclimatic teleconnections. Rainfall and runoff
                 patterns, over continents, are found to be
                 significantly teleconnected, with large-scale
                 circulation patterns, through such hydroclimatic
                 teleconnections. Though such teleconnections exist in
                 nature, it is very difficult to model them, due to
                 their inherent complexity.

                 Statistical techniques and Artificial Intelligence (AI)
                 tools gain popularity in modelling hydroclimatic
                 teleconnection, based on their ability, in capturing
                 the complicated relationship between the predictors
                 (e.g. sea surface temperatures) and predictand (e.g.,
                 rainfall). Genetic Programming is such an AI tool,
                 which is capable of capturing nonlinear relationship,
                 between predictor and predictand, due to its flexible
                 functional structure. In the present study, gridded
                 multi-site weekly rainfall is predicted from El Nino
                 Southern Oscillation (ENSO) indices, Equatorial Indian
                 Ocean Oscillation (EQUINOO) indices, Outgoing Longwave
                 Radiation (OLR) and lag rainfall at grid points, over
                 the catchment, using Genetic Programming.

                 The predicted rainfall is further used in a Genetic
                 Programming model to predict streamflows. The model is
                 applied for weekly forecasting of stream flow in
                 Mahanadi River, India, and satisfactory performance is
                 observed.",
}

Genetic Programming entries for Sathishkumar Shahajirao Kashid Subimal Ghosh Rajib Maity

Citations