The stable isotopes of hydrogen and oxygen in precipitation in eastern China and their related substitute data such as ice cores and tree rings are of great significance for a deeper understanding of the climate and hydrological changes in eastern China. The introduction of a water stable hydrogen and oxygen isotope module in atmospheric circulation models helps to understand the climatic significance of precipitation isotopes and related paleoclimatic proxy data. In recent years, studies have applied nudging method methods to these models, reducing model errors by integrating circulation information from reanalysis data. However, further research is needed to improve the ability of this method to simulate precipitation isotopes. This study utilized the Empirical Orthogonal Function (EOF) analysis method, Global Isotope Monitoring Network (GNIP) data, and four atmospheric models with water isotope modules, as well as their fusion with different nudged data, to explore in depth the spatial distribution characteristics of precipitation weighted oxygen isotopes in eastern China simulated by eight models. The following conclusion can be drawn: (1) The change in mode has a greater impact on the simulation results than the change in nudging data. (2) The EOF first mode simulation of precipitation δ18O in eastern China is consistent with the observation, but the second mode simulation has three main characteristics. This study provides useful references for exploring the distribution characteristics and simulation of stable isotopes in precipitation in eastern China, as well as the improvement effect of nudging method on hydrological and climatic simulation in eastern China.