Application systems in Korea Operational Oceanographic System(KOOS): Storm surge prediction system, operational Search and Rescue modeling system, Oil Spill Prediction System

Abstract

Storm surge prediction system, operational search and rescue (SAR) modeling system and oil spill predictionsystem have been developed as a part of Korea Operational Oceanographic System (KOOS) which producesnowcasts and forecasts of ocean information around the Korean Peninsula. Three application systems rely on thebasic inputs from KOOS and can predict up to 72-hour period.Storm surge prediction system in KOOS is 2D depth averaged hydrodynamic model incorporated with twoatmospheric models, typhoon parameter model for typhoon period and WRF for the non-typhoon period. Thissurge system has been proved the prediction capability on storm surge height and peak arrival time throughout thehindcast of typhoon events.An operational search and rescue (SAR) modeling system in KOOS employs a Monte Carlo ensemble techniqueto estimate the leeway (motion relative to the wind) of the drifting objects and uses the forcing inputs, wind andcurrents, from KOOS. Several drifting buoy experiments have been carried out to evaluate the performance ofoperational SAR model and results showed reasonable agreement.To reduce the damage caused by the spilled oil in the coastal areas around the Korean peninsula, MOHID basedoil spill prediction system has been setup and tested. This oil spill prediction system also relies on major inputssuch as initial and boundary condition o f temperature and salinity and wind field aan information around the Korean Peninsula. Three application systems rely on thebasic inputs from KOOS and can predict up to 72-hour period.Storm surge prediction system in KOOS is 2D depth averaged hydrodynamic model incorporated with twoatmospheric models, typhoon parameter model for typhoon period and WRF for the non-typhoon period. Thissurge system has been proved the prediction capability on storm surge height and peak arrival time throughout thehindcast of typhoon events.An operational search and rescue (SAR) modeling system in KOOS employs a Monte Carlo ensemble techniqueto estimate the leeway (motion relative to the wind) of the drifting objects and uses the forcing inputs, wind andcurrents, from KOOS. Several drifting buoy experiments have been carried out to evaluate the performance ofoperational SAR model and results showed reasonable agreement.To reduce the damage caused by the spilled oil in the coastal areas around the Korean peninsula, MOHID basedoil spill prediction system has been setup and tested. This oil spill prediction system also relies on major inputssuch as initial and boundary condition o f temperature and salinity and wind field a