Abstract: A Gaussian model for evaluating the probability of occurrence of forecast-contingent monthly average temperature and degree day outcomes is developed by use of forecast-verification data, and proposed for use in decision ...

Abstract: This paper examines the question of how strongly the skewness of the daily temperature variable (t) affects estimating the mean value and variance of the corresponding degree day variable (q) at U.S. stations where the ...

Abstract: The non-linear part of the relationship between monthly degree days and temperature was studied by use of 23 years of daily temperature data at 64 stations representing all major climatic zones in the co-terminous U.S. The ...

Abstract: Degree-hours have many applications in fields such as agriculture, architecture, and power generation. Since daily mean temperatures are more readily available than hourly temperatures, the difference between mean daily ...

Abstract: The problem of projecting monthly residential natural gas sales and evaluating interannual changes in demand is investigated using a linear regression model adjusted monthly. with lagged monthly heating degree-days as the ...