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

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Dhanapala Arachchige, Sachindra ORCID: 0000-0002-4022-0636, Huang, Fuchun, Barton, Andrew and Perera, B. J. C (2013) Least square support vector and multi-linear regression for statistically downscaling general circulation model outputs to catchment streamflows. International Journal of Climatology, 33 (5). pp. 1087-1106. ISSN 0899-8418,(print), 1097-0088 (online)

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Item type Article
URI https://vuir.vu.edu.au/id/eprint/21966
DOI https://doi.org/10.1002/joc.3493
Official URL http://onlinelibrary.wiley.com/doi/10.1002/joc.349...
Subjects Historical > FOR Classification > 0502 Environmental Science and Management
Historical > Faculty/School/Research Centre/Department > School of Engineering and Science
Keywords ResPubID25859, statistical downscaling, support vector machine, multi-linear regression, streamflow, general circulation models, river catchment, monitoring, water supply system, Grampians, Victoria
Citations in Scopus 71 - View on Scopus
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