During 2020, the Dominican Republic received the impact of several tropical organisms. Among those that generated the greatest losses in the country, the Tropical Storm Isaías stands out because caused significant floods. The present work analyzes the ability of the Flash Flood Guidance System (FFGS) and the Nowcasting and Very Short Range Prediction System (SisPI, for its acronym in Spanish) for the quantitative precipitation forecast (QPF) of the rains generated by the Isaías TT over Dominican Republic. Various traditional verification methods and others based on object identification are used in the study. The results show, that both numerical weather systems are powerful tools for the QPF, and also for prevention and mitigation of disasters caused by the extreme hydro-meteorological event studied.