Calculated data on diurnal patterns from daily averages can be useful as inputs for models simulating plant processes such as photosynthesis and transpiration. A method was developed for the calculation of diurnal patterns of air temperature, wind speed, global radiation and relative humidity from available daily data. Calculated data were validated with measured data collected in Israel, California and The Netherlands. A simple sine-exponential method for describing diurnal air temperature was not sufficient in most cases, and the addition of parameters which specified the time lag of maximum temperature and the effect of buoyancy improved the data accuracy. Diurnal course of wind speed could be described using two sine curves scaled by the measured daily total wind run. Time base of each of the sine curves and the minimum wind speed had to be defined for each location. An accurate description of the diurnal global radiation was obtained, based on the measured daily total global radiation, and the calculated sine of the solar elevation corrected for atmospheric transmissivity. Relative humidity was calculated from the dew point temperature computed as the minimum value of a characteristic seasonal value or the actual air temperature. When the site-specific parameters were known or correctly estimated these methods gave good estimations of the diurnal weather patterns.