There is a great need for timely prediction of the extent and depth of flooding and related hazards in highly populated urban areas such as the Dallas-Fort Worth metroplex (DFW). The hydrologic, hydraulic and hydrometeorological processes involved and the large number of factors that control them are complex, interrelated and generally scale dependent, which makes real time prediction of flood inundation in urban areas particularly challenging. In addition, a large number of human created structures such as channels, pipes, culverts, buildings, parking lots and manholes add complexity. With continuing urbanization and climate change, it is critical that the dynamics of urban flooding be better understood to improve prediction and to mitigate water related hazards under changing conditions. In this work, we assess how different factors may impact urban flood inundation using the 1D-2D PCSWMM model through a series of controlled simulation experiments. The main study area is the 3.3 km 2 Forest Park-Berry catchment in Fort Worth in North Central Texas, which has a high density of underground storm drainage.Specifically, we assess the impact of variations in precipitation and impervious cover on simulated inundation maps.