• 대한원격탐사학회지
• /
• 제16권4호
• /
• pp.293-303
• /
• 2000

The typhoon Jelawat, which was formed over the tropical Pacific ocean on August 1, 2000 and made a landfall over China on August 10, 2000, was observed by Korea Multi-purpose Satellite (KOMPSAT-1) Ocean Scanning Multispectral Imager (OSMI), Tropical Rainfall Measuring Mission (TRMM)/Precipitation Radar(PR) and Quick Scatterometer (QuikSCAT). In spite of discontinuous observation, important mesoscale features of typhoon depending on life cycle were detected prominently. It is possible to distinguish on the OSMI photograph between the eye-wall convection and the stratiform and other convective clouds near the center of typhoon Jelawat. The TRMM/PR observations show quite clearly the eye-wall convection, stratiform regions, and convective bands. Vertical cross section of rainfall in the genesis stage of typhoon Jelawat exhibits circular ring of intense convection surrounding the eye. The mature stage of typhoon Jelawat consists of a strong rotational circulation with clouds which are well organized about a center of low pressure. The OSMI, TRMM/PR and QuikSCAT measurements presented here agree qualitatively with each other and provide a wealth of information on the structure of typhoon Jelawat.

• Ocean and Polar Research
• /
• 제43권1호
• /
• pp.1-14
• /
• 2021

In this study, extreme wind speeds in the Western North Pacific (WNP) were estimated using reanalysis wind fields synthesized with an empirical typhoon vortex model. Reanalysis wind data used is the Fifth-generation European Centre for Medium-Range Weather Forecasts (ECMWF) reanalysis (ERA5) data, which was deemed to be the most suitable for extreme value analysis in this study. The empirical typhoon vortex model used has the advantage of being able to realistically reproduce the asymmetric winds of a typhoon by using the gale/storm-forced wind radii information in the 4 quadrants of a typhoon. Using a total of 39 years of the synthesized reanalysis wind fields in the WNP, extreme value analysis is applied to the General Pareto Distribution (GPD) model based on the Peak-Over-Threshold (POT) method, which can be used effectively in case of insufficient data. The results showed that the extreme analysis using the synthesized wind data significantly improved the tendency to underestimate the extreme wind speeds compared to using only reanalysis wind data. Considering the difficulty of obtaining long-term observational wind data at sea, the result of the synthesized wind field and extreme value analysis developed in this study can be used as basic data for the design of offshore structures.

• 한국해양학회지:바다
• /
• 제7권3호
• /
• pp.100-107
• /
• 2002

지난 20년 기간 동안에 한반도와 그 주변해상을 통과했던 64개의 태풍에 대해 태풍 파라미터 모형(TPM)과 원시 소용돌이 모형(PVM)의 모의를 통해서 해상풍을 산출하였다. 그 결과를 동중국해, 남해 그리고 동해상에서 관측된 일본 기상청(JMA)의 해상풍 자료와 비교하였으며, 오차 분석을 통해서 두 모형의 신뢰도와 민감도에 대해 고찰하였다. 원해상의 해양부이 관측자료와의 비교에서는 두 모형 모두 관측치보다 낮게 모의되었으며, rms오차와 상대오차는 PVM이 TPM보다 훨씬 낮게 나타났다. 그러나, 큐슈 연안의 해상풍 자료에 대해서는 PVM은 약간 높게 TPM은 낮게 모의되었으며, PVM이 TPM보다 오차가 작은 것으로 나타났다. 태풍중심위치와 해상풍 관측지점 간의 거리에 따른 상대오차의 분석결과, 태풍 중심권에 근접한 거리에서는 두 모형 모두 상대오차가 작았으나, 200km이상의 먼 거리에 대해서는 TPM의 상대오차는 거리에 비례해서 약 70％까지 크게 증가하는 반면. PVM의 상대오차는 약 20%정도로 나타났다.

• 한국수자원학회:학술대회논문집
• /
• 한국수자원학회 2005년도 학술발표회(2)
• /
• pp.1405-1406
• /
• 2005

• 한국해안·해양공학회논문집
• /
• 제25권5호
• /
• pp.291-300
• /
• 2013

태풍시 발생하는 해상풍 산출을 위해서는 태풍 모의 기법을 이용하며, 이 경우 Holland 모델은 비교적 정확도 높은 태풍 모의가 가능하게 한다. 태풍 모의를 위한 가용 정보로는 JTWC(Joint Typhoon Warning Center, USA)와 RSMC(Regional Specialized Meteorological Center, Japan) 최적경로자료가 있으며, 두 자료는 매개변수 산정 방법과 제공하는 태풍인자가 약간 다르다. 본 연구에서는 RSMC 최적경로자료에서 제공하는 풍속 25 m/s와 15 m/s에 해당하는 반경을 Holland 모형에 각각 대입하여 구성되는 2개의 비선형 방정식을 구성하였으며, 구성된 방정식의 해에 해당하는 최대풍속반경은 Newton-Raphson 기법을 이용하여 산출하였다. 본 방법은 일본 기상청(JMA)에서 제공하는 태풍 풍속프로파일에 근거하여 산출된 결과로서 타 방법에 의하여 산출된 결과보다 태풍 매개변수의 공간적, 시간적 변화에 능동적으로 반응하여 태풍의 특성을 보다 잘 반영하는 것으로 나타났다. RSMC 최적경로 자료를 이용할 경우, 본 방법은 태풍모의 입력 자료의 일관성도 확보할 수 있기 때문에 최대풍속 반경 산출에 합리적일 것으로 판단된다.

• 한국방재학회 논문집
• /
• 제8권5호
• /
• pp.45-51
• /
• 2008

강풍과 강한 동반 강우로 인한 최근의 태풍 피해 증가로 인하여 태풍의 영향을 예측하고 분석하는 연구의 필요성이 증가하고 있다. 이에 따라 본 연구에서는 태풍에 동반되는 강우에 초점을 맞추어 태풍 동반 강우에 영향을 끼치는 두 가지의 요인을 선택한 후 태풍 이동 경로에 대한 기상관측지점의 상대각도를 이용하여 2가지의 태풍 동반 강우의 통계적 모형을 제안하였다. 또한 본 연구에서 제안한 통계적 모형의 유효성 증명 및 두 모형에의 적용에 대한 결과의 비교를 위하여 2007년에 우리나라에 영향을 끼친 태풍 나리에 의한 동반 강우의 통계적 예측을 수행하였으며, 그 결과 본 논문에서 제안하는 모형을 이용하여 어느 정도 태풍 동반 강우의 예측이 가능할 것으로 판단된다.

• 한국방재학회:학술대회논문집
• /
• 한국방재학회 2008년도 정기총회 및 학술발표대회
• /
• pp.85-88
• /
• 2008

Damage from typhoon disaster can be mitigated by grasping and dealing with the damage promptly for the regions in typhoon track. What is this work, a technique to analyzed dangerousness of typhoon should be presupposed. This study estimated 10m level wind speed using 700hPa wind by typhoon, referring to GPS dropwindsonde study of Franklin(2003). For 700hPa wind, 30km resolution data of Regional Data Assimilation Prediction System(RDAPS) were used. For roughness length in estimating wind of 10m level, landuse data of USGS are employed. For 10m level wind speed of Typhoon Rusa in 2002, we sampled AWS point of $7.4\sim30km$ distant from typhoon center and compare them with observational data. The results show that the 10m level wind speed is the estimation of maximum wind speed which can appear in surface by typhoon and it cannot be compared with general hourly observational data. Wind load on domestic buildings relies on probability distributions of extreme wind speed. Hence, calculated 10m level wind speed is useful for estimating the damage structure from typhoon.

• 한국환경과학회지
• /
• 제25권11호
• /
• pp.1521-1530
• /
• 2016

As a result of dividing typhoon that affected Korean Peninsular between 1999 and 2012 into 7 types of path and entering forecast field and analysis field of RDAPS, until 36 hours from the time of forecast, it is reliable to use the forecast field of RDAPS to predict typhoon and for each typhoon path, the difference between the forecast and the analysis shows normal distribution, which is usable for weather forecast until the $36^{th}$ hour. In the $48^{th}$ hour from the time of forecast, the difference of result depending on each typhoon path increased, which was analyzed to be due to errors in the forecast. It was expected that relatively reasonable results should be shown if the $36^{th}$ hour forecast is used to predict the strength and distribution of strong wind. As a result of using Korean RAM and observing the difference of the maximum damage, reliability was secured up to 36 hours and after 48hours, it was expected that the fluctuation of results may become more severe.

• 한국환경과학회지
• /
• 제30권7호
• /
• pp.557-571
• /
• 2021

This study aimed to classify typhoons using a more objective index based on strong winds and precipitation data from 1904 to 2019 obtained from the Automated Surface Observing System. The Typhoon Type Index (TTI) was calculated by classifying wind speed and precipitation of each typhoon, thereby revealing the rate and characteristics of the wind-type and rain-type typhoons. In addition, the top 10 typhoons for property damage were analyzed by dividing them into three types according to the typhoon course. The analysis showed that typhoons of type 1, heading north to the west coast, were most clearly affected by the wind. In addition, the impact of the wind was reduced and the impact of rain increased in the order of typhoon type 2 that landed on the southern coast and type 6 that affected the Korean Peninsula through China.

• 대기
• /
• 제16권1호
• /
• pp.1-17
• /
• 2006

The purpose of this study is to find out the change of statistical characteristics of typhoons affecting the Korean Peninsula. For this purpose, we analyzed the occurrence frequency of typhoon for 50 years (1954-2003) and change of air temperature and sea surface temperature near the Korean Peninsula in the same period. We classified typhoon tracks affecting the Korean Peninsula, and analyzed their trends and the amount of damage by typhoon. While the annual occurrence frequency of typhoon in the western North Pacific gradually decreased, its frequency affecting the Korean Peninsula increased. In addition, the occurrence location migrated northward. This coincides with the increase in air temperature and sea surface temperature around the Korean Peninsula. Typhoon tracks affecting the Korean Peninsula were classified into 7 types. Among them, the occurrence frequency of type 6 and 7 has increased. Although the occurrence frequency is low in type 2, the amount of damage by typhoon and occurrence frequency are increasing recently.