A METHOD FOR PREDICTING THE PROBABLE FREQUENCY OF OCCURRENCE OF DAILY MAXIMUM TEMPERATURES FROM SUMMARIZED DATA
Abstract
The frequency and distribution of daily maximum temperatures for any given summer month (May-September in northern hemisphere) may be predicted with a considerable degree of confidence when only summarized data are available by use of a multiple nomograph. The nomograph and associated table represent 45 converted mean daily maximum temperatures, having values from 36 to 80, each of which is associated with a unique numerical pattern of converted predictive temperature values. The converted mean daily maximum temperature may be computed from the following four items usually found in climatic summaries: (1) the absolute maximum, (2) the mean daily maximum, (3) the mean daily minimum, (4) the length of record. Values on the nomograph have been determined by a detailed study of the frequency occurrence of daily maxima through a 10-year period for May, July and September at twelve representative stations. The method readily lends itself to machine processing.
Document Details
- Document Type
- Technical Report
- Publication Date
- Aug 01, 1964
- Accession Number
- AD0450723
Entities
People
- Earl E. Lackey
Organizations
- United States Army Soldier Systems Center