Prediction of Dew Point Temperature,Solar Radiation and Wind Movement Data for Simulation and Operations Research Models.

摘要

Predictive relationships for mean daily dew point temperature,daily total shortwave solar radiation,and daily wind movement using daily maximum and minimum air temperature as the predictor variable were derived for approximately 23stations in the United States. A simple linear regression of dew point on minimum temperature proved to be best for the dew point prediction. The fit was best in the humid regions in the winter and poorest in the summer in the arid and semi-arid regions. Percent of possible solar radiation was regressed on the daily range in temperature for the solar radiation relationship. The fit obtained was poorer than the fit for dew point. The coefficient of correlation for the dew point relationships was most frequently in the range of 0.7to 0.95while for solar radiation the range was generally for 0.5to 0.8. The standard error of estimate for dew point ranged from 2.0to 10.0degrees Fahrenheit with most values in a narrower range from 4.0to 6.0degrees. The standard error for solar radiation was most frequently in the range of 10to 25%.