Least square support vector and multi-linear regression for statistically downscaling general circulation model outputs to catchment streamflows

International Journal of Climatology

Volumn 33, Issue 5, 2013, Pages 1087-1106

  Sachindra, D A ^a   Huang, F ^a   Barton, A ^a,b   Perera, B J C ^a  

^a VICTORIA UNIVERSITY   (Australia)

^b Grampians Wimmera Mallee Water Corporation   (Australia)

Author keywords

General circulation models; Multi linear regression; Statistical downscaling; Streamflow; Support vector machine

Indexed keywords

CALIBRATION AND VALIDATIONS; GENERAL CIRCULATION MODEL; LEAST SQUARE SUPPORT VECTOR MACHINE REGRESSIONS; LEAVE-ONE-OUT CROSS VALIDATIONS; MODEL PARAMETER OPTIMIZATION; MULTI-LINEAR REGRESSION; NATIONAL CENTER FOR ENVIRONMENTAL PREDICTIONS; STATISTICAL DOWNSCALING;

CALIBRATION; CATCHMENTS; CLIMATOLOGY; LINEAR REGRESSION; OPTIMIZATION; RUNOFF; STATISTICAL METHODS; STREAM FLOW; WATER SUPPLY SYSTEMS;

SUPPORT VECTOR MACHINES;

ALGORITHM; CALIBRATION; CATCHMENT; DOWNSCALING; GENERAL CIRCULATION MODEL; HYDROLOGICAL MODELING; LEAST SQUARES METHOD; MODEL VALIDATION; REGRESSION ANALYSIS; STREAMFLOW;

AUSTRALIA; VICTORIA [AUSTRALIA];

EID: 84876097012     PISSN: 08998418     EISSN: 10970088     Source Type: Journal    
DOI: 10.1002/joc.3493     Document Type: Article

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