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Streamflow prediction using multi-site rainfall obtained from hydroclimatic teleconnection

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Title Streamflow prediction using multi-site rainfall obtained from hydroclimatic teleconnection
 
Creator KASHID, SS
GHOSH, S
MAITY, R
 
Subject nino southern-oscillation
indian-summer monsoon
artificial neural networks
sea-surface temperature
runoff models
genetic algorithm
ocean dipole
sri-lanka
enso
scale
el nino southern oscillation (enso)
equatorial indian ocean oscillation (equinoo)
outgoing longwave radiation (olr)
mahanadi river
genetic programming
hydroclimatic teleconnection
 
Description 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 modeling 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 streamflow in Mahanadi River, India, and satisfactory performance is observed. .
 
Publisher ELSEVIER SCIENCE BV
 
Date 2011-07-26T19:19:01Z
2011-12-26T12:55:42Z
2011-12-27T05:42:06Z
2011-07-26T19:19:01Z
2011-12-26T12:55:42Z
2011-12-27T05:42:06Z
2010
 
Type Article
 
Identifier JOURNAL OF HYDROLOGY, 395(1-2), 23-38
0022-1694
http://dx.doi.org/10.1016/j.jhydrol.2010.10.004
http://dspace.library.iitb.ac.in/xmlui/handle/10054/7002
http://hdl.handle.net/10054/7002
 
Language en