The objective of this work is to enhance flood forecasting using WRF-Hydro for the Puerto Rico Island. To reduce the expected errors from modeled/forecasted forcing due the effects of the complex terrain, our goal is to test different forcing datasets and assimilate satellite data including (1) subsurface soil moisture and (2) precipitation (Satellite and Radar) into WRF-Hydro. The assimilation will be assessed in terms of streamflow simulations over complex terrain. The model will be validated using the runoff output of WRF-Hydro for the selected watersheds using USGS Data. This work will help in the future implementation and optimization of the National Water Model (NWM) for Puerto Rico.