Cardiff University | Prifysgol Caerdydd ORCA
Online Research @ Cardiff 
WelshClear Cookie - decide language by browser settings

Ensemble wave forecasting over typhoon period

Fan, Yang-Ming, Pan, Shunqi ORCID: https://orcid.org/0000-0001-8252-5991, Chen, Jia-Ming and Kao, Chia Chuen 2013. Ensemble wave forecasting over typhoon period. Presented at: OCEANS13 MTS/IEEE, Bergen, Norway, 10-13 June 2013. OCEANS - Bergen, 2013 MTS/IEEE. IEEE, 10.1109/OCEANS-Bergen.2013.6608029

Full text not available from this repository.

Abstract

The purpose of this study is to quantitatively assess the effect of uncertainties on the wave forecasts using the ensemble approach. The ensemble method is an effective approach to assess the effect of the model uncertainty by producing not only one, but several forecasts. The ensemble wave modelling system was applied to the Taiwan sea area, especially for typhoon wave. There are four different operational atmospheric models that provide predictions of wind at 10 m height above sea surface. The simulated wave of WAVEWATCH III drove from NCEP, JMA, NFS, and WRF wind fields. From the simulated wave heights of all ensemble members, it can be clearly seen that the uncertainties from the atmospheric predictions have significantly affected the predicted hydrodynamic results. A further ensemble statistics, including the ensemble mean, and mean ± standard deviation. The measurement outcome scatters in between wave forecasting of mean + standard deviation and mean - standard deviation, which proves that the ensemble forecasting is able to reasonably predict typhoon waves. Therefore, the accuracy of the predictions of waves can be significantly improved by using ensemble approach closer to the observed wave measurement.

Item Type: Conference or Workshop Item (Paper)
Date Type: Publication
Status: Published
Schools: Engineering
Subjects: T Technology > TC Hydraulic engineering. Ocean engineering
Uncontrolled Keywords: ensemble statistics; typhoon wave
Publisher: IEEE
ISBN: 9781479900008
Last Modified: 25 Oct 2022 08:35
URI: https://orca.cardiff.ac.uk/id/eprint/53621

Citation Data

Cited 2 times in Scopus. View in Scopus. Powered By Scopus® Data

Actions (repository staff only)

Edit Item Edit Item