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|Title:||An enhanced blend of SVM and Cascade methods for short-term rainfall forecasting|
Simões, N. E.
Leitão, J. P.
Sá Marques, A.
David, L. M.
|Keywords:||Support vector machine;Cascade;Log-poisson;Rainfall forecasting;Downscaling|
|Abstract:||A more reliable flood forecasting could benefit from higher-resolution rainfall forecasts as inputs. However, the prediction lead time of the operational rainfall forecasting models will substantially diminish while sub-hourly (e.g., 5-min) rainfall forecasting is required. A method that integrates the SVM (Support Vector Machine) and Cascade-based downscaling techniques is therefore developed in this work to carry out high-resolution (5-min) precipitation forecasting with longer lead time (45-60 minutes). The 5-min raingauge observations from Coimbra (Portugal) are employed to assess the proposed methodology. A comparison with the conventional SVM is also conducted to study the possible benefit of using the proposed methodology to carry out shortterm rainfall forecasting.|
|Appears in Collections:||DHA/NES - Comunicações a congressos e artigos de revista|
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