WRF-ROMS-SWAN Coupled Model Simulation Study: Effect of Atmosphere–Ocean Coupling on Sea Level Predictions Under Tropical Cyclone and Northeast Monsoon Conditions in Hong Kong

• Published in: Atmosphere 2024-10, Vol.15 (10), p.1242
• Main Authors: Leung, Ngo-Ching, Chow, Chi-Kin, Lau, Dick-Shum, Lam, Ching-Chi, Chan, Pak-Wai
• Format: Article
• Language: English
• Subjects: Anomalies; Astronomical tides; Atmosphere; Atmospheric boundary layer; Atmospheric models; Boundary conditions; Case studies; Coastal waters; COAWST; Configuration management; Cyclones; Flood predictions; Fourier analysis; Harmonic analysis; High water levels; Hong Kong; Hurricanes; Marine meteorology; Meteorological research; Modelling; Monsoons; Numerical weather forecasting; Ocean models; Ocean-atmosphere system; Oceanographic parameters; Oceans; Performance evaluation; Predictions; Radiation; Risk assessment; ROMS; Sea level; Sea level anomalies; Sea level changes; Sea level forecasting; Sea level rise; Sea level variations; Sediment transport; Shorelines; South China Sea; Storm surge prediction; Storm surges; Storms; Surface wind; SWAN; Tidal waves; Tide prediction; Tropical cyclones; Tropical depressions; Tropical storms; Typhoons; Water; Water levels; Weather; Weather forecasting; Wind; WRF
• ISSN: 2073-4433; 2073-4433
• DOI: 10.3390/atmos15101242

The Hong Kong Observatory has been using a parametric storm surge model to forecast the rise of sea level due to the passage of tropical cyclones. This model includes an offset parameter to account for the rise in sea level due to other meteorological factors. By adding the sea level rise forecast to the astronomical tide prediction using the harmonic analysis method, coastal sea level prediction can be produced for the sites with tidal observations, which supports the high water level forecast operation and alert service for risk assessment of sea flooding in Hong Kong. The Coupled Ocean-Atmosphere-Wave-Sediment Transport (COAWST) Modelling System, which comprises the Weather Research and Forecasting (WRF) Model and Regional Ocean Modelling System (ROMS), which in itself is coupled with wave model WaveWatch III and nearshore wave model SWAN, was tested with tropical cyclone cases where there was significant water level rise in Hong Kong. This case study includes two super typhoons, namely Hato in 2017 and Mangkhut in 2018, three cases of the combined effect of tropical cyclone and northeast monsoon, including Typhoon Kompasu in 2021, Typhoon Nesat and Severe Tropical Storm Nalgae in 2022, as well as two cases of monsoon-induced sea level anomalies in February 2022 and February 2023. This study aims to evaluate the ability of the WRF-ROMS-SWAN model to downscale the meteorological fields and the performance of the coupled models in capturing the maximum sea levels under the influence of significant weather events. The results suggested that both configurations could reproduce the sea level variations with a high coefficient of determination (R2) of around 0.9. However, the WRF-ROMS-SWAN model gave better results with a reduced RMSE in the surface wind and sea level anomaly predictions. Except for some cases where the atmospheric model has introduced errors during the downscaling of the ERA5 dataset, bias in the peak sea levels could be reduced by the WRF-ROMS-SWAN coupled model. The study result serves as one of the bases for the implementation of the three-way coupled atmosphere–ocean–wave modelling system for producing an integrated forecast of storm surge or sea level anomalies due to meteorological factors, as well as meteorological and oceanographic parameters as an upgrade to the two-way coupled Operational Marine Forecasting System in the Hong Kong Observatory.