Effectiveness of 4-Dimensional Data Assimilation and Nesting in an Atmospheric Model on Accuracy of Storm Surge Predictions

Abstract

The present study examines the prediction accuracy effects of 4-dimensional data assimilation (nudging) and nesting schemes of the Weather Research and Forecasting model (WRF) on the storm surges. Applying both nudging and nesting in the WRF simulation enabled us to predict successfully not only the barometric depression and increase of wind speed around a typhoon route, but also the meteorological field of surrounded area. It has been found that the use of WRF outputs applying both with nudging and nesting would give accurate predicting power for both maximum level and phase of tidal elevation in the storm surge simulations.