n this paper the daily runoff of Ravansar Sanjabi basin, Kermanshah, Iran is simulated through SRM and SWAT models. SRM is a deterministic and degree-day based model which simulates or forecasts the daily runoff in mountain basins through Snow Cover Area (SCA) variable and also other meteorological data such as rainfall and temperature. The images of Snow Covered Area obtained from MOD10A2 of the MODIS satellite are used to calculate the SCA as a key variable for SRM in this study. On the other hand, SWAT model is a continuous and distributive model which can simulate the hydrological processes in basins through a wide range of information such as physical information of basins (soil, land use, slope) as well as weather data such as precipitation, temperature, wind, relative humidity, solar radiation. Simulation results during the calibration and validation periods are evaluated through three statistical indices: Nash–Sutcliffe efficiency (NSE) coefficient, coefficient of determination, and volume difference. Comparison of simulated and observed flow hydrographs and calculated statistical coefficients show that SRM model results are acceptable in simulating daily runoff for both calibration and validation periods (NSE: 0.9 and 0.95 respectively); while SWAT model presents weak results (NSE: 0.14 and 0.16, respectively).