A STATISTICAL EXPERIMENT IN DYNAMICAL PREDICTION OF THE 24-HOUR SEA- LEVEL PRESSURE CHANGE

Abstract

Two statistical prediction models for the 24 hour surface pressure change are developed. One model employs the terms in a dynamic model as the independent variables in a linear regression equation. The other model combines these vari ables with parameters capable of reflecting the long-wave, long-term influences in a multivariate discriminate analysis. The regression equations were developed from data taken from the month of November 1962 at 50N latitude. A discussion of the results of both methods is presented along with a critique of the procedures used in obtaining the data.

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Document Details

Document Type
Technical Report
Publication Date
Jan 01, 1963
Accession Number
AD0412912

Entities

People

  • Compton E. Ward
  • Donald J. Reilly

Organizations

  • Naval Postgraduate School

Tags

Communities of Interest

  • Materials and Manufacturing Processes

DTIC Thesaurus Topics

  • California
  • Computers
  • Data Science
  • Equations
  • Geostrophic Wind
  • Grids
  • Information Science
  • Latitude
  • Linear Regression Analysis
  • Meteorology
  • New York
  • Regression Analysis
  • Schools
  • Sea Level
  • Statistical Analysis
  • Statistics
  • United States

Readers

  • Atmospheric Science/Meteorology
  • Computational Modeling and Simulation
  • Snow Cover Descriptors for Reptiles and Their Illustrations.