Verification of Real-time Wave Prediction during Typhoon Season

Abstract

The present study validates real-time wave prediction by using wind forcing from hourly analysis GPV during the typhoon season of Japan. Large variations in weather fields occurring in typhoon events provide an opportunity to assess the quality of forecasts. Observed data at 16 NOWPHAS wave gauge stations were used to evaluate predictions during the typhoon season. Deterministic statistic error indices showed that real-time predictions give good results. In addition, probabilistic statistic error indices that can evaluate errors in detail also showed that the correspondence between predictions and observations is good.