Cold surges can significantly impact maritime transportation safety due to strong winds, high waves, significant temperature drops, and dense fog. Therefore, it is crucial to assess the risk to ships during cold surges. This study integrates meteorological and wave numerical models with risk assessment methods to dynamically assess the navigation risks of ships in the Bohai Bay and the northern Yellow Sea during two consecutive cold surges. First, a sensitivity analysis of six sets of Planetary Boundary Layer (PBL) parameterization schemes was conducted using the Weather Research and Forecasting (WRF) atmospheric numerical model to obtain high-resolution and accurate meteorological variables. Subsequently, the wave field during the cold surge was simulated using the WAVEWATCH III wave model. The wind speed, visibility, temperature, wave height, and wave steepness output by the numerical models were then used as assessment factors and categorized into risk levels. The weights of the assessment factors were calculated using the Analytic Hierarchy Process (AHP) method. Finally, a fuzzy risk assessment matrix was established by evaluating the membership of the assessment factors at different risk levels, and a risk distribution map for navigation risk assessment was generated. The risk assessment model that utilizes numerical model results as input can effectively demonstrate the spatiotemporal dynamic evolution of risk during cold surges.