CIRCULATION-CLOUD PROGNOSTIC RELATIONSHIPS: SUMMER AND FALL.
Abstract
Regression Estimation of Event Probabilities (REEP) equations were derived from summer and fall data samples to diagnose cloud amounts from circulation and moisture prognoses. Equations were derived for total-, low-, middle-, and high-cloud amounts, and for the time change of total-cloud amount. Sets of equations were derived for 12-, 24-, 36-, and 48-hr forecast intervals. In deriving the equations, persistence and moisture content were found to be the most significant predictors. Of lesser significance were temperature and circulation features (500-mb height, thickness, and vertical velocity). When tested on independent data, the REEP equations gave better results than persistence for each cloud amount category and for each forecast interval . (Author)
Document Details
- Document Type
- Technical Report
- Publication Date
- Sep 01, 1965
- Accession Number
- AD0621924
Entities
People
- Donald A. Chisholm
- Gordon B. Lassow
Organizations
- United Aircraft Corporation