代表温度和太阳辐射长期平均值的每小时数据集已经为21个美国大都市地区准备好。所有气象要素（包括太阳数据）的8760个连续小时值已被放在磁带上，用于计算机计算能源需求。在最初选择记录了平均温度的一个月后，通过替换其他年份同一个月的每日数据集来完成进一步的细化，这将使调整后的月值达到或非常接近长期平均值。类似的替代和调整程序被用于生成与每个月的长期平均值相等的每小时太阳数据。 根据整个俄亥俄州的数据集，推荐的插值程序使用冬季基准50°F的加热度日值和夏季数据的中间湿球温度。引文:研讨会，ASHRAE交易，第87卷，第一部分，伊利诺伊州芝加哥

Sets of hourly data, representing the long term mean of both temperature and solar radiation, have been prepared for 21 U.S. metropolitan areas. The 8760 sequential hourly values for all weather elements, including solar data, have been placed on magnetic tape for use in computer calculations of energy requirements. Following the initial selection of an individual month which had recorded mean temperatures, further refinement was accomplished by substituting daily sets of data from the same month in other years which would bring the adjusted monthly values to or very near the long term mean. Similar substitution and adjustment procedures were used to produce hourly solar data equal to the long term mean for each month. A recommended interpolation procedure is developed using heating degree day values to the base 50°F for winter and median wet-bulb temperatures for summer data based on data sets throughout the state of Ohio.