The extreme precipitation frequency estimation based on the annual maximum series (AMS) was revised by using hydrometeorologicalregional L-moments method and Chow’s equation for Jiangsu Province, China. Firstly, the study area was dividedinto five homogeneous regions by a coupled methods of hydrologic statistics and climatological factors. The optimum distribution foreach region was determined by the Monte Carlo simulation and root mean square error. For AMS, Generalized Extreme Value(GEV) is the more appropriate distribution in most homogeneous regions, and Generalized Pareto distribution (GPA) is the optimumcurve for annual exceedance series (AES). In the next step, the frequency estimation ratios were respectively computed by using thereal AMS and AES, the real AMS and the generated AES by Chow’s equation. The results show that Chow’s formula is applicablefor the study area. A set of rational and reliable frequency estimation can be obtained by using hydrometeorological regional L-momentsmethod based on AMS and Chow’s equation. The spatial distribution of quantiles show that the northern area are greaterthan the south area, and all of them increase with the increase of return period. The highest frequency estimates were observednear the Suqian and Lianyungang stations in the northern area of Jiangsu Province. The frequency estimates are in good agreementwith the observed values at the same frequency, which can provide important basis for flood control and water resource management.