A comparison of total accumulated precipitation for the CONtinental United States (CONUS) illustrates that the Climate Prediction Center (CPC) Merged Analysis of Precipitation (CMAP) has the closest agreement with a CPC rain gauge dataset for all seasons except winter. The European Centre Model for Weather Forecasting (ECMWF) performs the best of the precipitation estimates from modeling systems. The satellite-only products suffer from a few deficiencies – most notably an overestimation of summertime precipitation in the central United States (200-400 mm). CMAP precipitation estimates are the most closely correlated with daily rain gauge data for the spring, fall, and winter seasons while the satellite only estimates perform best in summer. The GLDAS simulations show that the sensitivity of land surface states is substantial when using different precipitation forcing. For volumetric soil water content, the span of differences between the runs ranged from 30-45% and 20-30% of the typical total range of volumetric soil water content (0-0.50 m3/m3) for the spring/summer and fall/winter months respectively. Moreover, the soil temperature spread between GLDAS runs was considerable and ranged up to +/- 3.0 K throughout the simulations.