This study develops a statistical‐dynamical seasonal typhoon forecast model (SDTFM) that utilizes the statistical correlation between East Asia (EA) tropical cyclone (TC) landfall and atmospheric circulation predicted by a coupled general circulation model for seasonal prediction and its predictability is verified. A total of 40 ensemble members produced through different data assimilation and time‐lag methods introduced as a way to reduce the initial condition error and model uncertainty enabled the development of the new SDTFM. According to the results, the SDTFM developed in this study showed significant predictability in TC landfall prediction when using the month of May for the initial conditions for the entire East Asia (EEA) and its three sub‐domains: Northern East Asia (NEA), Middle East Asia (MEA), and Southern East Asia (SEA). The predicted TC season is July–September (JAS), and only for SEA, including South China, the Philippines, and Vietnam, it is July–November (JASON) considering the relatively long landfall period. The models developed for each domain significantly predict the interannual variability of TC landfall at the 99% confidence level. The cross‐validated results are still significant at the 99% confidence level in NEA and SEA and the 95% confidence level in MEA and EEA. To predict tropical cyclone (TC) landfall in East Asia, a statistical‐dynamical seasonal typhoon forecast model (SDTFM) is developed using atmospheric circulation predicted by a coupled general circulation model as a predictor. The model shows a significant prediction skill at 99% confidence level for all domains (Northern East Asia (NEA), Middle East Asia (MEA), Southern East Asia (SEA), and entire East Asia (EEA)). According to the cross‐validation results, the SDTFM predicts TC landfalls at 99% confidence levels for NEA and SEA and 95% confidence levels for MEA and EEA, suggesting that the SDTFM can be used effectively for TC landfall prediction in East Asia.