Generation of Simulated Daily Precipitation and Air and Soil Temperatures
提出一种利用历史天气数据估计参数模型的方法，用于生成日降水量和最高最低气温的模拟时间序列，并建立土壤温度与气温和降水的关系。
Mitchell describes a maximum likelihood method using historical weather data to estimate a parametric model of daily precipitation and maximum and minimum air temperatures. Historical weather data from Brookings, SD, and Boone, IA, are used to create the model. Mitchell describes the process of estimation for the precipitation parametric model, and then reports the actual parametric estimates. Next, he presents an algorithm designed to generate a simulated time series of weather variables using the parametric model. Finally, he describes a model that determines soil temperatures as functions of air temperatures and precipitation.