## 1 Introduction
The comparison showed that the root mean square error of tropical cyclone velocity from ERA5 was 58% lower than that of ERA-Interim and could better simulate the storm surge height of historical events by improving model resolution. [8] Based on partial correlation, [PERSON] selected climate factors sensitive to extreme storm surge levels, extracted spatial gradient, precipitation, and other factors from ERA5 reanalysis data, and proposed a reliable, data-driven framework vine-copula simulation set to evaluate extreme events. [PERSON] et al. (2016) [9] used the hydrodynamic model Delft3D, which considers surface wind and the atmospheric pressure field, to evaluate the dynamic baseline (SSL) of storm surge levels along the European coastline from 1970 to 2000 affected by meteorological changes [10]. The study of typhoon surges mainly pays more attention to the change in sea level under the action of a typhoon [11; 12; 13]. From the perspective of calculation efficiency, the vertical average two-dimensional ocean model is of high accuracy in simulating water level changes. [PERSON] et al. (2020) [14] used the three-dimensional coupled surge model Polcoms to simulate the storm surge in the Bay of Bengal. Compared with the two-dimensional ocean model, the calculation efficiency of the three-dimensional model was significantly reduced, and the simulation results were less ideal. [PERSON] [15] used the tide surge wave coupled Delft3D model to study the impact of port construction on the interaction of tide, storm surge, and wave in similar storms from 2003 to 2016. The wind data of the atmospheric reanalysis data of the global models ECMWF-Interim, CCMP, and ECMWF-ERA5 were linearly regressed and assimilated. It was shown that ECMWF-ERA5 with the highest time resolution performed best in observing the surface wind field. The Delft3D model can be used to simulate multidimensional unsteady flow. Based on a storm surge simulation of Delft3D flow, [PERSON] [16] simulated different typhoon paths and proposed a flood inundation map during the Haiyan typhoon. [PERSON] [8] found that recent advances in global climate modeling have significant implications for simulating storm surges. By comparing modeled and observed storm surges for eight historical events, they demonstrated that the new ERA5 climate reanalysis produces more accurate results than previous models. This has important implications for predicting and preparing for future storm events, as more accurate storm surge modeling can help to mitigate the impacts of extreme weather events. [PERSON] [17] discovered discrepancies between the ERA5 wind field and observed storm surge data in typhoon simulations. They proposed a hybrid wind field that combines ERA5 and observed wind data to improve the accuracy of storm surge predictions. The numerical simulation experiments showed that the hybrid wind field significantly reduced errors in storm surge predictions. This finding suggests that using a hybrid wind field could improve future typhoon storm surge predictions and preparations. [PERSON] [18] investigated the performance of ERA5 winds on computed storm surges and wave-current interactions during the Okchi cyclone. They found that the ERA5-forced model produced more accurate results in generating waves during the cyclone compared with the standalone model. However, the study also identified the need for further improvements in the modeling of wave-current interactions and the representation of bottom friction. This study aimed to evaluate the predictive power of the ERA5 reanalysis and Fujita-Takahashi models, analyzing their strengths and weaknesses. Additionally, the study examined Typhoon In-fa's (2021) influence on the East China Sea, determining its effects on eastern coastal storm surges. The research offers valuable insights into protective strategies and resilience planning. Methodologically, meteorological data, including pre/post landfall wind fields and storm surge observations, were collected.