Evaluation of the impact of typhoon initialization on numerical weather forecasts.

   A typhoon is a high-impact weather phenomenon that causes serious damage to people and property when landing on the Korean peninsula. Therefore, accurate prediction of typhoon intensity and track is very important in establishing damage prevention measures. 
   KMA has applied its own typhoon initialization process (KMA bogusing) for Global Data Assimilation and Prediction System (GDPS) to produce realistic initial fields since 2010, when the Unified Model (UM) of UK Met Office (UKMO) was introduced as an operational model. If the typhoon intensity of the background is weaker than the observation, the KMA bogussing process generates horizontally spread mean sea level pressures by using TC warning center’s advisory and use it for data assimilation. 
   In June 2018, GDPS has been upgraded based on PS40 N1280 of UKMO with significantly increased its horizontal resolution from 17 km to 10 km. The new version of GDPS showed improved performance in TC intensity predictions. Since the model simulates tropical cyclone intensity strong enough, we investigated the impact of typhoon initialization on the predictability of the new version GDPS.