ABSTRACT. The standardized ASCE Penman-Monteith (ASCE-PM) model was used to estimate grass-reference evapotranspiration (ET o ) over a range of climates at seven locations based on hourly and 24 h weather data. Hourly ET o computations were summed over 24 h periods and reported as sum-of-hourly (SOH). The SOH ASCE-PM ET o values (ET o,h,ASCE ) were compared with the 24 h timestep ASCE-PM ET o values (ET o,d ) and SOH ET o values using the method (ET o,h,FAO (Mays, 1996). Withdrawal of freshwater resources for irrigation represents the largest of the country's water demands. Approximately 81% of the total consumptive water use in the U.S. is by irrigated agriculture and other agricultural operations (Solley et al., 1998). Thus, accurate and consistent determination of ET in irrigated agriculture is becoming increasingly important for better planning and efficient use of water resources, especially in arid or semi-arid environments where lack of precipitation usually limits crop growth and yield. Accurate quantification of ET is also crucial to irrigated crop production, water allocation, irrigation scheduling, evaluating the effects of changing land use on water yield, environmental assessment, and development of best management practices to protect surface and ground water quality.The most common procedure for computing crop evapotranspiration (ET c ) is to adjust reference evapotranspiration (ET o ) using a crop coefficient (K c , where ET c = ET o ·K c ). The K c values represent the integrated effects of changes in leaf area, plant height, crop characteristics, irrigation method, rate of crop development, crop planting or sowing date, degree of canopy cover, canopy resistance, soil and climate conditions, and management practices .Because direct measurement of ET o is difficult, time consuming, and costly, the most common procedure is to I