This article presents the characterization of the impact on flood modeling generated by the spatial coverage and frequency of precipitation sampling, in contrast with the distribution of the pluviometric network of stations in Cundinamarca. In general, the pluviometric networks are characterized by having gaps in the measurement of precipitation, both spatially and temporally; therefore, we wanted to determine the impact that these gaps cause in the flood simulation. For this, two research phases were executed: the first consisted of identifying flood events between the years 2014 and 2018 and the second to determine the impact of the spatial and temporal coverage of precipitation estimates in flood simulation, along with the spatial and temporal factors that influence such impact. Thus, the main result was that, by using precipitation estimates at lower temporal measurement frequency and lower spatial measurement coverage, flood event flow simulations tend to exhibit larger errors. The magnitude of these errors may be influenced by spatial factors such as drainage area, drainage area shape, mean channel slope, and climatological precipitation in the area.