A Method for Determining Probabilities of Surface Temperature Extremes.

摘要

An objective method for determining probabilities of surface temperature extremes is described herein. Least-squares linear regression equations have been developed to estimate temperatures that would be equaled or surpassed 1,5 and 10% of the hours at any given location during the warmest and coldest months of the year. These equations are based on an index calculated from three generally available parameters: mean monthly temperature (usually July and January); mean daily maximum temperature for the month; and mean daily minimum temperature for the month. (Author)