PROGNOSTIC RELATIONS DEVELOPED BETWEEN CIRCULATION VARIABLES AND TOTAL CLOUD AMOUNT BY STATISTICAL METHODS,

Abstract

For predicting total cloud amount, screeningregression equations (12-, 24-, and 36-hr predictions) and multiple-discriminant-analysis (MDA) probability tables (24-hr prediction only) were derived by statistical methods from a 5-day sample of upper-air analyses and prognoses from Feb. 1962. Significant predictors were found to be total-cloud-amount persistence, moisture content (CPS), vertical velocity, 850-500-mb thickness, 500-mb height, wind divergence, thickness advection, and zonal and meridional wind components. Relations were derived to include prognostic terms only, lagged-analysis terms only, and a combination of the two. Application of the relations to the dependent data and to a small sample (194 cases) of independent data showed that: (a) relations based on prognostic variables and persistence (as predictors) are superior to the others; (b) MDA yields slightly better results than screening regression; (c) relations derived for cloud specification, when converted to prediction relations, do not yield as satisfactory results as prognostic relations; and (d) the statistical techniques yield results superior (based on percent-correct scores on independent data) to persistence or climatology. (Author)

Document Details

Document Type
Technical Report
Publication Date
Mar 01, 1964
Accession Number
AD0433600

Entities

People

  • Donald A. Chisholm
  • Frederick P. Ostby

Tags

DTIC Thesaurus Topics

  • Advection
  • Climatology
  • Data Science
  • Discriminant Analysis
  • Equations
  • Information Science
  • Interdisciplinary Science
  • Mathematics
  • Moisture
  • Moisture Content
  • Physical Properties
  • Probability
  • Specifications
  • Thickness

Readers

  • Atmospheric Science/Meteorology
  • Regression Analysis.