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.
