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Turfgrass systems are one of the most intensively managed land uses in the U.S. The number of turfgrass systems in the U.S. currently exceeds 15,000 and is projected to increase by 300 to 400 per year to meet consumer demand. Development of turfgrass systems usually results in a more intensively managed land use. The impact of that management on water quality and quantity is of vital importance. SWAT (Soil and Water Assessment Tool) is a comprehensive watershed scale model developed to predict management impacts on water, sediment, and chemical yields for ungaged agricultural watersheds. Using SWAT as a framework, a new model, TGER (TurfGrass Environmental Resource), streamlined for turfgrass systems was developed. Slow release fertilizer capability, mowing, thatch layer routines, and a turfgrass data base were incorporated to develop this modeling tool. Experimental data was collected from Morris Williams Municipal Golf Course in Austin, TX. Model calibration was conducted using 86 events (75% of total events) recorded during the five year period of data collection. Model validation was conducted on a separate 28 events. Using SWAT-TGER calibrated for this site, the model predicted storm runoff exiting the golf course with a Nash-Sutcliffe efficiency of 0.71.