Streamflow prediction using multi-site rainfall obtained from hydroclimatic teleconnection

摘要: Summary Simultaneous variations in weather and climate over widely separated regions are commonly known as “hydroclimatic teleconnections”. Rainfall runoff patterns, continents, found to be significantly teleconnected, with large-scale circulation through such hydroclimatic teleconnections. Though teleconnections exist nature, it is very difficult model them, due their inherent complexity. Statistical techniques Artificial Intelligence (AI) tools gain popularity modeling teleconnection, based on ability, capturing the complicated relationship between predictors (e.g. sea surface temperatures) predictand (e.g., rainfall). Genetic Programming an AI tool, which capable of nonlinear relationship, predictor predictand, its flexible functional structure. In present study, gridded multi-site weekly rainfall predicted from El Nino Southern Oscillation (ENSO) indices, Equatorial Indian Ocean (EQUINOO) Outgoing Longwave Radiation (OLR) lag at grid points, catchment, using Programming. The further used a predict streamflows. applied for forecasting streamflow Mahanadi River, India, satisfactory performance observed.