Abstract ▼

Purpose & Contents
1. Purpose
○ Operation support for meteotsunami prediction system in KMA
○ Atmosphere-Ocean modeling in consideration of atmospheric instability besides air pressure disturbance and oceanic conditions ( harbor resonance and tide level)
○ Test operation for the real-tim

Purpose & Contents
1. Purpose
○ Operation support for meteotsunami prediction system in KMA
○ Atmosphere-Ocean modeling in consideration of atmospheric instability besides air pressure disturbance and oceanic conditions ( harbor resonance and tide level)
○ Test operation for the real-time meteotsunami prediction system and improvement of prediction accuracy for meteotsunami prediction system
○ Buildup for meteotsunami prediction system using the data assimilation
○ Development of the meteo-tsunami potential module based on the results of weather modeling for the improvement of the meteo-tsunami prediction accuracy
○ Improvement of the very shot-term meteo-tsunami prediction accuracy and the response skills of a weatherman in a work-site operation
○ Improvement of pre-detection ability of the meteo-tsunami through the meteo-tsunami potential forecasting module and saving of an operation resources for an integrated visualization system of coastal disaster
○ Optimization of the weather numerical model for the improvement of the prediction accuracy and establishment of the meteo-tsunami prediction operating system
○ Basic research related to the weather numerical model for the establishment of the real time meteo-tsunami prediction system connected with weather model and ocean model
○ Operation of the weather prediction model in the coastal disaster visualization system
○ Generation characteristics and Verification of forecasting system of a rip current and swell
○ The buildings of the integrated information forecasting system of a rip current and swell and its test trial in real time
○ Forecast service for analyzing coastal disasters and using the integrated information forecasting system
2. Contents
[Meteotsunami part]
○ 1st year
- Buildup for meteotsunami prediction system ( 1st operating support)
- Comparison of accuracy of meteotsunami prediction system according to background fields
- Testing application of new physics ( Microphysics scheme in atmospheric model, meteotsunami modeling in consideration of air pressure and wind)
- Diagnosis of the prediction accurcacy for the improvement of the weather numerical model
- Examination of the validity in the weather numerical model’s input data
- Improvement and selection of the weather numerical model’s input data for the meteo-tsunami prediction
- Sensitive test of the weather numerical model for the improvement of the prediction accuracy in meteo-tsunami forecast system
○ 2nd year
- Finding errors for meteotsunami prediction system after the 1st operating support
- Selection the available atmospheric background fields with relatively high prediction accuracy ( NCEP, GFS) and buildup for the 2nd meteotsunami prediction system ( GFS – WRF – FVCOM)
- Demonstration of the deformation and amplification of waves by coastal terrain through horizontal grid detailing of the coast of the west coast
- Verification and examination of the predictions accuracy in improved weather numerical model
- Establishment of the real-time operating system connected with the weather model and ocean model
- Improvement and optimization of the weather model’s prediction accuracy by the data assimilation
○ 3rd year
- Establishment of the meteotsunami prediction system for application of the best atmospheric background fields ( UM ( LDAPS) - FVCOM)
- Improvement of the horizontal and vertical grid resolution and consideration of atmospheric instability besides air pressure disturbance ( wind disturbance) to simulate the 2nd resonance generated near coast and in harbor ( harbor resonance)
- Application new pressure jump algorithm to complement the prior pressure jump algorithm in KMA ( using the following patent)
- Final buildup for meteotsunami prediction system ( 3rd operating support)
- Reduction of the meteo-tsunami prediction time by the meteo-tsunami potential forecast
- Improvement of the meteo-tsunami prediction skill through the pre-detection of the meteo-tsunami probability in a work-site operation and enhancement of the efficiency of an operation resources
- Improvement of skill to predict the meteo-tsunami induced in the coastal and open-sea
[Swell and Rip currents part]
○ 1st year
- Selection of optimal observation factors and its ocean physical environmental observation by study area characteristics: Haeundae beach in Busan, Naksan beach in east coast, Daecheon in west coast and Jungmoon in Jeju
- Connection system establishment for accuracy improvement of input data such as wave, wind that service by KMA
○ 2nd year
- Development and application of data assimilation technique based on measured data in study area and main input data that service by KMA
- Improvement of reliability and accuracy by the comparison of ocean physical environmental observation data with integrated system result
○ 3rd year
- Development of integrated system that based on coastal disaster ( meteo-tsunami, swell, rip current etc.) forecasts and observations
- Development and implementation of the providing prompt service to the public that is integrated forecasting and observing system with KMA

Results
[SCI] 12 counts
- Lagrangian Observation of Rip Currents at Haeundae Beach Using an Optimal Buoy Type GPS Drifter
- The Application of a Rip Current Warning Decision-Process System, Haeundae Beach, South Korea
- Double Resonance Effect at Daeheuksando Port Caused by Air Pressure Disturbances in Yellow Sea on 31 March 2007
- Seasonal Characteristics and Mechanisms of Meteo-tsunamis on the West Coast of Korean Peninsula
- An Introduction of AELIS ( Aquatic Environment Life-saving Integrated System)
- Calculation of Rip Current Warning Index by a Vector Rose Diagram
- Monitoring and Analysis of Bacterial Communities during a Summer Season on Gyeongpo Beach
- Determination of Accurate Arrival Time of Meteotsunami Event in Yellow Sea
- Meteorological Analysis of the Sea Fog in Winter Season on Gyeonggi Bay, Yellow Sea: A Case Study for the 106-vehicle Pileup on February 11, 2015
- Numerical Weather Prediction for Mitigating the Fatal Loss by the Meteo-tsunami Incidence on the West Coast of Korean Peninsula
- Improving the Performance of Rip Current Forecasting Index with a Focus on Haeundae Beach, Korea
- Numerical Study of Meteo-tsunami Caused by High Pressure System in Winter Season
[Non-SCI] 4 counts
[Patent application] 3 counts
[Operating support for forecasting system] 5 counts

Expected Contribution
◯ Operational technology transfer through the integrated forecasting and observing system that service by KMA
◯ Information service using the integrated forecasting and observing system of Korean coastal disaster
◯ Promotion of Economic Development from forecast and observation of coastal environmental changes related to disaster
◯ Providing prompt service to the public for safety protection of citizens

( source : SUMMARY 8p)

목차 Contents

• 표지 ... 1
• 제출문 ... 2
• 보고서 요약서 ... 3
• 국문 요약문 ... 4
• SUMMARY ... 8
• Contents ... 12
• 목차 ... 13
• 제1장. 연구개발과제의 개요 ... 14
• 제2장. 국내외 기술 개발 현황 ... 18
• 제1절 기상해일 ... 18
• 제2절 너울 및 이안류 ... 24
• 제3장. 연구 수행 내용 및 성과 ... 32
• 제1절 기상해일 ... 32
• 제2절 너울 및 이안류 ... 116
• 제4장. 목표 달성도 및 관련 분야 기여도 ... 307
• 제1절 기상해일 ... 307
• 제2절 너울 및 이안류 ... 310
• 제5장. 연구개발성과의 활용계획 ... 313
• 제6장. 연구 과정에서 수집한 해외 과학기술 정보 ... 315
• 제7장. 연구개발성과의 보안등급 ... 317
• 제8장. 국가과학기술종합정보시스템에 등록한 연구시설·장비 현황 ... 318
• 제9장. 연구개발과제 수행에 따른 연구실 등의 안전 조치 이행 실적 ... 319
• 제10장. 연구개발과제의 대표적 연구 실적 ... 320
• 제11장. 기타 사항 ... 323
• 제12장. 참고 문헌 ... 324
• 끝페이지 ... 330