在供暖和空调行业中广泛使用的设计温度是根据每小时的温度数据计算的。然而，有小时温度长期记录的地点相对较少，这限制了可以计算设计温度的地点数量。为了解决这一局限性，开发了一些技术来估算冬季和夏季的设计温度，以及广泛可用的每日最低和最高温度。对于其中两种技术，数学函数（指数和幂律）适用于日温度和小时温度的累积分布函数（CDF）。开发了通用转换，将每日CDF函数的参数与每小时CDF函数的参数联系起来。 对于第三种技术，每小时CDF是根据每日温度经验合成的。这三种技术都产生了很好的估计。使用经验综合技术获得了冬季设计温度的最佳结果。夏季设计温度的最佳结果是使用幂律函数，但使用指数函数的结果几乎一样好。本研究中使用的大量台站代表了美国的所有地区，为在广泛的气候条件下应用这些技术提供了信心。单位:双引文:ASHRAE交易，第108卷，第。2.

Design temperatures, used widely in the heating and air-conditioning industry, are calculated from hourly temperature data. However, there are relatively few locations with long-term records of hourly temperatures, limiting the number of locations for which design temperatures can be calculated. To address this limitation, techniques were developed to estimate winter and summer design temperatures sing widely available daily minimum and maximum temperatures. For two of the techniques, mathematical functions (exponential and power law) were fit to the cumulative distribution functions (CDFs) for daily temperatures and for hourly temperatures. General transformations were developed to relate the parameters of the daily CDF functions to the parameters of the hourly CDF functions. For the third technique, the hourly CDF was synthesized empirically from the daily temperatures. All three techniques produced good estimates. The best results for winter design temperatures were obtained using the empirical synthesis technique. Best results for summer design temperatures were obtained using the power law function, but the results using the exponential function were almost as good. The large number of stations used in this study, representing all areas of the U.S., provides confidence in the application of these techniques across a wide range of climates.Units: Dual