- 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.",
