Sentence examples for modeling of typhoon from inspiring English sources

Two different NWPs, The Weather Research and Forecasting (WRF) model [ Skamarock et al., 2008] and the Cloud Resolving Storm Simulator (CReSS) [ Tsuboki and Sakakibara, 2002], were chosen for dynamic modeling of Typhoon Haiyan.

Such knowledge is especially important in understanding the computer model projections of typhoon activity in the 21st century under various global warming scenarios.

The present paper presents an approach to developing a reliability-based vulnerability model for the assessment of typhoon induced wind risk of residential buildings in Japan.

This paper proposes a model predicting the wind speed and direction of typhoon wind.

This paper aims to introduce a marine and typhoon meteorological information system based on WebGIS and rich internet application(RIA), which integrate many kinds of data of typhoon and weather information according to a spatio-temporal model.

To investigate the influence of typhoon characteristics on flood forecasting, four different types of model inputs are designed to yield 1- to 6-h ahead forecasts of runoff.

Finally, the proposed spectral model is validated using arbitrarily selected four hours of data in different sectors of typhoon Hagupit wind field.

A dataset of typhoon storms from 2010 to 2014 was used to evaluate the model performance.

A comparison between models with and without typhoon characteristics is also presented to confirm that the addition of typhoon characteristics significantly improves the forecasting performance for long lead-time forecasting.

While an unusually strong typhoon could also explain the overwash deposits, storm surge heights modeled for the west Luzon coastline do not exceed 2 m even with the characteristics of Typhoon Haiyan.

The characteristics of Typhoon Haiyan and its related storm surge are estimated by numerical experiments using numerical weather prediction models and a storm surge model.