CLOUD-COVER RECURRENCE AND DIURNAL VARIATION,
Abstract
Estimators of conditional probabilities of recurrence of six-eighths or more cloud-cover, given a set of unconditional probabilities according to initial times, are presented and tested against a sample of northern hemispheric data. The estimators are shown to be highly efficient in the sense that more than 95% of the achieved estimates fall within plus or minus 0.02 of observed values of the conditional probabilities. A sensitivity analysis is presented to demonstrate that the methodology and results are essentially independent of particular data source with regard to geographic location, climatic regime, or season of the year insofar as parameter determination and concomitant accuracy of estimation are concerned. Extensions to broader classes of meteorological phenomena are also indicated. (Author)
Document Details
- Document Type
- Technical Report
- Publication Date
- Apr 30, 1969
- Accession Number
- AD0691233
Entities
People
- Cyrus R. Mcallister
Organizations
- The Aerospace Corporation