The power and scale of 950 hPa typhoon "Maemi" which struck the shore of Gosung in Kyungnam Province was same as that of 951 hPa typhoon "Saraho" in 1959. For the purpose of getting the safety of training ship "KAYA", we anchored at Jinhae Bay with riding at two anchors paid out 8 shackles of cable respectively. By the way when wind force being over 30m/s, we could not keep the safety of the ship "KAYA" by means of the holding power of an anchor only. Just by using the main engine moderately, we were able to maintain the security of the ship. The holding the main engine moderately, we were able to maintain the security of the ship. The holding power of an anchor according to the way of anchoring, the quality of sea bottom, the direction and speed of wind and current, and the length of an anchor cable were analyzed. The obtained results are summarized as follows : 1. When riding at two anchors rather than lying at single anchor we could get a good holding power. 2. There was a big difference in holding power according to the quality of the bottom. 3. It would be best anchoring in a soft mud area than in any other place as possible. 4. It would also be desirable to set anchor shackles much more than equipment number prescribed in regulation in order to get safety of a ship providing against typhoon.

The present study analyzes the characteristics of 43 typhoons that affected the Korean Peninsula between 2002 and 2015. The analysis was based on 3-second gust measurements, which is the maximum wind speed relevant for typhoon disaster prevention, using a typhoon disaster prevention model. And the distribution and characteristics of the 3-second gusts of four typhoons, RUSA, MAEMI, KOMPASU, and BOLAVEN that caused great damage, were also analyzed. The analysis show that between May and October during which typhoons affected the Korean Peninsula, the month with the highest frequency was August(13 times), followed by July and September with 12 occurrences each. Furthermore, the 3-second gust was strongest at 21.2 m/s in September, followed by 19.6 m/s in August. These results show that the Korean Peninsula was most frequently affected by typhoons in August and September, and the 3-second gusts were also the strongest during these two months. Typhoons MAEMI and KOMPASU showed distribution of strong 3-second gusts in the right area of the typhoon path, whereas typhoons RUSA and BOLAVEN showed strong 3-second gusts over the entire Korean Peninsula. Moreover, 3-second gusts amount of the ratio of 0.7 % in case of RUSA, 0.8 % at MAEMI, 3.3 % at KOMPASU, and 21.8 % at BOLAVEN showed as "very strong", based on the typhoon intensity classification criteria of the Korea Meteorological Administration. Based on the results of this study, a database was built with the frequencies of the monthly typhoons and 3-second gust data for all typhoons that affected the Korean Peninsula, which could be used as the basic data for developing a typhoon disaster prevention system.

This study calculated wind speed at the height of 10 m using a disaster prediction model(Florida Public Hurricane Loss Model, FPHLM) that was developed and used in the United States. Using its distributions, a usable information of surface wind was produced for the purpose of disaster prevention when the typhoon attack. The advanced research version of the WRF (Weather Research and Forecasting) was used in this study, and two domains focusing on South Korea were determined through two-way nesting. A horizontal time series and vertical profile analysis were carried out to examine whether the model provided a resonable simulation, and the meteorological factors, including potential temperature, generally showed the similar distribution with observational data. We determined through comparison of observations that data taken at 700 hPa and used as input data to calculate wind speed at the height of 10 m for the actual terrain was suitable for the simulation. Using these results, the wind speed at the height of 10 m for the actual terrain was calculated and its distributions were shown. Thus, a stronger wind occurred in coastal areas compared to inland areas showing that coastal areas are more vulnerable to strong winds.

The impact of midlatitude synoptic system (upper-level trough) on typhoon intensity change was investigated by analyzing the spatial and temporal characteristics of vertical wind shear (VWS), relative eddy momentum flux convergence (REFC), and potential vorticity (PV). These variables were computed over the radial mean 300~1,000 km from the typhoon center by using GDAPS (Global Data Assimilation and Prediction System) data provided by the Korea Meteorological Administration (KMA). The selected cases in this study are typhoons Rusa (0215) and Maemi (0314), causing much damage in life and property in Korea. Results show that the threshold value of VWS indicating typhoon intensity change (typhoon to severe tropical storm) is approximately 15 m/s and of REFC ranges 6 to 6.5 ms-1day-1 in both cases, respectively. During the period with the intensity of typhoon class, PVs with 3 to 3.5 PVU are present in 360K surface-PV field in the cases. In addition, there is a time-lag of 24 hours between central pressure of typhoon and minimum value of VWS, meaning that the midlatitude upper-level trough interacts with the edge of typhoon with a horizontal distance less than 2,000 km between trough and typhoon. That is, strong midlatitude upper-level divergence above the edge of the typhoon provides a good condition for strengthening the vertical circulation associated with the typhoons. In particular, when the distance between typhoon and midlatitude upper-level trough is less than 1,000 km, the typhoons tend to weaken to STS (Severe Tropical Storm). It might be mentioned that midlatitude synoptic system affects the intensity change of typhoons Rusa (0215) and Maemi (0314) while they moves northward. Thus, these variables are useful for diagnosing the intensity change of typhoon approaching to the Korean peninsula.

항만 및 해안구조물의 설계시 사용되는 천해역에서의 파랑장 계산은 내륙 관측소의 바람자료를 이용하거나 심해파 추산모형에 의하여 추출된 심해파제원을 사용하는 것이 일반적이다. 그러나 전자의 경우는 관측소가 대부분 내륙에 위치하여 파랑발달을 모의하기 위한 정확한 바람자료를 얻기란 매우 어렵다. 또한, 후자의 경우는 아주 넓은 영역에서 큰 격자크기로 계산이 이루어지기 때문에 연안 및 천해역 지형을 상세히 재현하지 못하므로 임의의 정점에 대한 정확한 정보를 파악하기도 어렵다. 따라서, 본 연구에서는 우리나라 동남부 해역의 태풍 ‘매미’ 내습시의 파랑 관측자료를 사용하여 천해역에서의 파랑장 계산을 수행하였다. 또한, 계산된 파랑장의 정확도를 확인하기 위하여 울산해역 인근의 파고 및 파향 관측결과를 비교 검토하였다. 울산해역에 대한 파고분포 산출결과, 관측정점에서 파고는 ±1.3%의 차이를 보여 기존의 방법 보다 높은 정확도를 보이는 것으로 나타났다.

본 연구근 신 등(2004)의 후속연구로서, 연근해의 상세 공간 분할의 계산에 적용하여 높은 정밀도의 파랑 추산이 가능한 수정 WAM cycle 4모형을 토대로 2003년 9월 한 달 동안의 파랑을 상세히 추산하고, 태풍 ‘매미’가 야기한 우리나라 남해안 일대의 극한파랑 특성을 분석한 것이다 계산된 파랑 제원은 이어도 해양종합기지에서 관측된 파랑 제원과의 비교를 통하여 모형의 정밀도를 확인하였고, 우리나라 남해안주요 4개 지점의 전면 해상에 대해서는 1시간 간격의 파랑 추산 결과의 분석을 통해 태풍 ‘매미’가 야기한 외해 극한파랑을 다음과 같이 추산하였다. 1) 제주도 서편 차귀도 전면 해상； 2003년 9월 12일 16시에 최대 유의파고 7.41m, 평균 주기 13.6s, 평균 파향 6.4˚, 2) 마산만 입구； 12일 21시에 최대 유의파고 12.50m, 평균 주기 13.65s, 평균 파향 1.2˚, 3) 부산 수영만 전면 해상； 12일 22시에 최대 유의파고 13.85m, 평균 주기 13.81s, 평균 파향 0.2˚, 4) 울산항 전면 해상； 12일 23시에 최대 유의파고 11.00m, 평균 주기 13.25s, 평균 파향 2.8˚.

WAM 모형은 대양의 파랑추산에 있어서 높은 정밀도를 가지고 있으면서도 타 모형에 비해 상대적으로 간결한 구조를 가지고 있어 국내외 많은 연구자들이 널리 활용하고 있으나, 모형의 특성상 심해ㆍ광역조건과 더불어 비교적 큰 격자에 적합하도록 설계되어 있고 파향의 격자 분할 방법으로 인해 경우에 따라서는 예기치 못하는 계산 결과를 산출하기도 한다. 본 연구에서는 WAM Cycle 4 모형을 대상으로 이 같은 문제점을 상세히 검토하고 관련 내용을 수정하여 천해ㆍ상세 해역에 대한 적용성을 확장하였으며, 수정된 WAM 모형은 이어도 해양과학기지에서 관측한 2003년 9월 한 달 동안의 정밀 파량관측 자료를 토대로 검정하여 그 타당성을 확인하였다.