Study on calculation method of WRF with Typhoon Bogus

Abstract

One of the important procedures for Disaster Prevention Plan is to determine accurately the wind condition of an approaching typhoon. By using the Meteorological Model, it enables the aforementioned situation to be specified. The purpose of this study is for the method application to the Disaster Prevention Plan. The effect examined is due to the difference of several computational condition by Typhoon 5115. This reveals the property model of WRF with Typhoon Bogus. In addition to that, we enumerated the problem issued from the model utilization in order to make the application easy. According to the study, it is proved that the parameters of Rb and Ro greatly influences reproducibility of typhoon. The magnitudes of central pressure and wind velocity speed are susceptible to Nudging coefficient .

Typhoon-Induced Storm Surge Analysis With Coawst on Different Modelled Forcing

“…Low pressure field has increased the tidal level while strong wind filed has increased the wave height in the inner bay for Bogus_LFM compared to the other two models. According to the previous research findings 13) , Bogus_WRF results are sensitive to the model parameters of Rb and Ro which decides the typhoon diameter. Hence, the overestimation of Bogus_WRF model results is expected to improve by tuning the Bogus model parameters of Rb, Ro and intensity of central pressure in future studies.…”

“…As the forcing of LFM is the results with 3DVar, it will be necessary to include 3DVar or 4DVar in WRF computation to obtain the accurate forcing in WRF_LFM. As the Bo-gus_WRF results are sensitive to the model parameters of Rb, Ro and central pressure 13) , there is a room to improve Bogus_WRF results in future. Model results with LFM forcing are basically appropriate to estimate the typhoon-induced storm surge and however it can be improved by applying properly tuned WRF_LFM or Bougs_LFM forcing.…”

“…WRF model was used to create another set of forcing with further improved spatio-temporal resolution. The new forcing data (Bogus_LFM) was created in WRF model which was initialized as same as the WRF_LFM model while modifying the initial conditions in every 20 min interval with a new typhoon data (pressure and wind) created in Typhoon Bogus 13) model. Hence, Bogus_LFM has higher spatio-temporal resolution compare to the LFM model.…”