Producing the Hindcast of Wind and Waves Using a High-Resolution Atmospheric Reanalysis around Korea

Abstract

Sea surface wind plays a dominant role in oceanic phenomena such as oceanic waves, swells and currents that have an important effect of the climate. To overcome the limitations, data assimilation technique has been adopted to improve the model’s initial conditions and generate the final high-resolution analysis. To improve performance in modeling the regional atmosphere, significant efforts have been made using the state-of-the-art regional Weather Research and Forecasting Model (WRF). The reanalysis data of wind with data assimilation technique and waves in this study is also useful to computation of design wave.del’s initial conditions and generate the final high-resolution analysis. To improve performance in modeling the regional atmosphere, significant efforts have been made using the state-of-the-art regional Weather Research and Forecasting Model (WRF). The reanalysis data of wind with data assimilation technique and waves in this study is also useful to computation of design wave.