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Short-Term Basin-Scale Streamflow Forecasting Using Large-Scale Coupled Atmospheric-Oceanic Circulation and Local Outgoing Longwave Radiation

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Title Short-Term Basin-Scale Streamflow Forecasting Using Large-Scale Coupled Atmospheric-Oceanic Circulation and Local Outgoing Longwave Radiation
 
Creator MAITY, R
KASHID, SS
 
Subject nino southern-oscillation
rainfall-runoff models
indian-summer monsoon
water-resources management
artificial neural networks
genetic algorithm
time scales
river-basin
sri-lanka
enso
 
Description This paper investigates the use of large-scale circulation patterns (El Nino-Southern Oscillation and the equatorial Indian Ocean Oscillation), local outgoing longwave radiation (OLR), and previous streamflow information for short-term (weekly) basin-scale streamflow forecasting. To model the complex relationship between these inputs and basin-scale streamflow, an artificial intelligence approach-genetic programming (GP)-has been employed. Research findings of this study indicate that the use of large-scale atmospheric circulation information and streamflow at previous time steps, along with OLR as a local meteorological input, potentially improves the performance of weekly basin-scale streamflow prediction. The genetic programming approach is found to capture the complex relationship between the weekly streamflow and various inputs. Different input variable combinations were explored to come up with the best one. The observed and predicted streamflows were found to correspond well with each other with a coefficient of determination of 0.653 (correlation coefficient r = 0.808), which may appear attractive for such a complex system.
 
Publisher AMER METEOROLOGICAL SOC
 
Date 2011-07-16T18:54:43Z
2011-12-26T12:49:55Z
2011-12-27T05:35:44Z
2011-07-16T18:54:43Z
2011-12-26T12:49:55Z
2011-12-27T05:35:44Z
2010
 
Type Article
 
Identifier JOURNAL OF HYDROMETEOROLOGY, 11(2), 370-387
1525-755X
http://dx.doi.org/10.1175/2009JHM1171.1
http://dspace.library.iitb.ac.in/xmlui/handle/10054/4505
http://hdl.handle.net/10054/4505
 
Language en