A Use of Time Series in Improving Weather Forecasting.

Abstract

Given the assumption that weather can be predicted more effectively by integrating the dynamic equations(s) than by examining trends, the question investigated here is whether time series can be used in the secondary routine to effect improvement. The method is described, the relevant equations are derived, a program using real meteorological data is made and run, and a measure of effectiveness is given. Limited study shows some definite promise. (Author)

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Document Details

Document Type
Technical Report
Publication Date
Nov 01, 1979
Accession Number
ADA080056

Entities

People

  • Craig Comstock
  • Frank D. Faulkner
  • Robert R. Fossum

Tags

Communities of Interest

  • C4I
  • Energy and Power Technologies
  • Materials and Manufacturing Processes

DTIC Thesaurus Topics

  • Coefficients
  • Complex Numbers
  • Computations
  • Delphi Method
  • Difference Equations
  • Equations
  • Legendre Functions
  • Meteorological Data
  • Numbers
  • Observation
  • Research Facilities
  • Residuals
  • Sequences
  • Spherical Harmonics
  • Two Dimensional
  • Weather
  • Weather Forecasting

Fields of Study

  • Environmental science

Readers

  • Computational Modeling and Simulation