[Objective] To address the vulnerabilities of coastal distribution networks to large-scale blackouts and the uneven allocation of restoration resources during typhoon disasters， this paper proposes a two-stage resilience enhancement strategy of “pre-disaster pre-positioning and post-disaster dynamic scheduling” considering the coordination of mobile energy storage systems （MESS）. [Methods] First， a physical wind field model is constructed based on the modified Rankine vortex model to quantitatively evaluate the spatiotemporal dynamic impacts of typhoon trajectories on the line failure probabilities and the physical vulnerability of photovoltaic （PV） units， thereby establishing a coupling mechanism from “physical hazard”to “capacity degradation”. In the pre-disaster warning phase， a two-stage robust optimization model is formulated to minimize the MESS pre-positioning cost and the operational cost under the worst-case line failure scenario. The column and constraint generation （CCG） algorithm is utilized to identify the “N-k” worst-case fault combinations to achieve the scientific pre-positioning of MESS. In the post-disaster restoration phase， a multi-period rolling heuristic dynamic scheduling model is established. Based on the principle of “load priority and proximity-based scheduling”， MESS， diesel generators （DG）， and repair crews are coordinated to form a spatiotemporal dynamic coordination mechanism of “repair-storage-scheduling”. [Results] Case study results on the modified IEEE 33-bus system demonstrate that the proposed model can effectively quantify the PV capacity degradation caused by typhoons. Under the worst-case line failure scenario， the initial operational cost of the pre-positioning scheme is significantly reduced by 56.9% compared to the scheme without optimization. For the entire process， the total cost is reduced by 41.63% compared to the unoptimized scheme， and the solution time is drastically shortened by 99.51% compared to the globally strict optimization strategy. [Conclusions] The proposed strategy achieves a full-chain integration from physical hazard mechanisms to system operation optimization. By leveraging the unique advantage of the “spatiotemporal transferability” of MESS， it effectively mitigates the uncertain impacts of typhoon disasters， significantly enhancing the disaster resilience and economic efficiency of the distribution network.