The typhoon research team is responsible for the study of typhoon analysis using observation data and numerical model to understand the mechanism of typhoon development and to improve the accuracy of typhoon forecast.
Study on the typhoon structure and mechanism
Study on the change of typhoon intensity
Development of typhoon model
Study on the surveillance of typhoon and observation network
Analysis and forecast of typhoon disaster

Structure and development of typhoon is influenced by environmental forcing such as sea surface temperature (SST), mid-latitude trough. To understand development mechanism of typhoon, we investigate the relationship between typhoon and SST, ocean flux and mid-latitude trough.
It is difficult to observe typhoon at the initial and mature stage because typhoon is developed in the open ocean. Satellite observations are very useful to the study of typhoon over the ocean. They give the typhoon information such as intensity, center location and structure. In this study, typhoon information retrieved from satellite is applied for the study of structure and development mechanism.

Main subjects of this study include :
Interaction of typhoon and SST, ocean flux.
Analysis of typhoon intensity and structure from satellite data
Influences of mid-latitude environment on the typhoon development.

The triply nested high resolution typhoon model MTM (Moving-nest Typhoon Model) has been implemented on the KMA¡¯s new supercomputer Cray X1E. The GFDL type bogussing technique and moving grid scheme in MTM were developed by the Typhoon Research Center of Kongju National University, based on the frame work of MM5 meso-scale model. The MTM will be hopefully run as a KMA¡¯s operational typhoon model, after evaluation of its performance and optimization of the code.
As an effort to develop a next generation operational typhoon model, T-WRF (Typhoon-WRF) adopted from the WRF (Weather Research and Forecasting) meso-scale model will be evaluated to see its prediction capability for the tropical cyclone track, intensity, and rainfall around the Korean Peninsula.
To predict the typhoon intensity after landfall, statistical model is developed. Central pressure and maximum sustained wind speed (MSWS) are forecasted for 2 days. Regression equations for central pressure and MSWS are derived using the typhoon best track data from 1951 to 2004, provided from the RSMC Tokyo and JTWC. We plan to try more various prediction method like multiple linear regression model, neural network model, genetic algorithm, and so forth.

TAPS has been developed to analyze the typhoon characteristics and display the typhoon track since 1999. It helps editing advisories and model output for operational forecasters. TAPS is developed using Java language program and can be run on windows system. The function of TAPS is composed of analysis, prediction and statistics. TAPS displays the typhoon track from the various numerical model output. We plan to develop a new version of TAPS. New TAPS includes more typhoon contents such as typhoon strike probability, statistical model results, forecast of typhoon occurrence, and radius of maximum wind speed etc.
Strong wind and heavy rainfall caused by typhoon give rise to considerable human life and property damage. In this study, we collect the typhoon disaster information and make it database as regional and temporal groups and typhoon intensity. We analyze the characteristics of typhoon disaster and then construct typhoon disaster prediction system on a basis of accumulated information. We will be able to accurately predict disaster state by typhoon at certain region and time before landfall over the Korean Peninsula. We will be able to find and cope with damage by typhoon at vulnerable region in advance.

While the retrieval of typhoon information from satellite give much of data to us, there are some limitations to study the inner structure of typhoon, precipitation system, and atmospheric wind and water vapor profiles.
For the detail analysis of typhoon inner structures and earlier preparation for the severe disaster, typhoon observation network is needed. It is projected that observation systems such as the radar, wind profiler, sonde, and buoy, will be installed at Jeju island. Construction of the optimized observation network and its application make good condition for the typhoon research and forecast.
These data provide additional insights to typhoon modelers and forecasters who continually strive to improve typhoon prediction.