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200 - Typhoon Committee

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TCAR<br />

CHAPTER 1 - TYPHOON COMMITTEE ACTIVITIES <strong>200</strong>7<br />

<strong>200</strong>7<br />

e. Research Progress<br />

Seasonal Prediction of the Tropical Cyclone Activity over<br />

the Western North Pacific and the Korean Peninsula<br />

Tropical cyclone is the most destructive natural<br />

phenomenon in the world. To predict this destructive<br />

tropical cyclone there have been many prediction<br />

studies using a statistical model or a dynamical model.<br />

A statistical model has been developed for the purpose<br />

of predicting the seasonal activity of tropical cyclones<br />

over the Western North Pacific (WNP) and the Korean<br />

peninsula. The predictors are the number of tropical<br />

cyclones (TC), tropical cyclones that exceed typhoon<br />

strength (TY) and the overall TC activity index which is<br />

referred to as Normalized <strong>Typhoon</strong> Activity (NTA) index<br />

during summer period (June to August), fall period<br />

(September to November), and over the whole year<br />

(May to December).<br />

Using the lag correlation among synoptic predictors such as sea surface temperature (SST) and mean sea level<br />

pressure (MSLP) and the frequency of typhoon genesis, high lag correlation predictors used for statistical models<br />

were selected. After making three sets of data based on closest months, highest correlation and subjective choice,<br />

the prediction equations were derived by using selected predictors in the multiple linear regression applying the<br />

30 year moving window method-after creating a prediction value, produces prediction value with a same method by<br />

moving one year by one year, and the combination of independent variables with the lowest root prediction error of<br />

sum of squares (RPRESS) from all the possible combinations was selected. In addition, to reduce the uncertainty of<br />

forecast existing when predicting by a single prediction value, the ensemble model of 60 members for the frequency<br />

of tropical cyclones was predicted by differentiating validation periods. From 1972 to <strong>200</strong>4 typhoon data reported at<br />

RSMC-Tokyo are used as variables. Using the data such as 500 hPa geopotential height, monthly sea level pressure,<br />

SST, 850 hPa temperature, and 850 hPa meridian velocity from May 1971 to August <strong>200</strong>4, 30 ensemble forecasts are<br />

made for predicting typhoon activity. Fig. 2.27 shows the flow chart for processing the statistical model.<br />

TC, TY, and NTA index are ensemble predicted by a statistical model in three summer months, fall months, and over<br />

the whole year in WNP and TC that may affect over the Korean Peninsula is also ensemble predicted in three summer<br />

and fall months. Table 2.4 shows the predicted TC, TY, and NTA over the western North Pacific and TC forecasts<br />

!<br />

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