Forecast for the Average Periods of Large-Scale Components of Atmospheric Circulation on the Basis of a Nonlinear Spectral Model,

Abstract

It is almost impossible to define with uniform precision the entire spectrum of atmospheric movements when conducting a numerical forecast. Therefore, a model being used for long-range forecasting must describe in detail the evolution of the largest-scale components of atmospheric circulation approximately taking into consideration the effect of smaller-scale disturbances. The article gives the results of calculations conducted on the basis of a spectral model while using initial data as the starting information. It examines the question of the effect of initial information errors on the quality of the forecast.

Document Details

Document Type
Technical Report
Publication Date
Sep 06, 1973
Accession Number
AD0767984

Entities

People

  • I. G. Veil
  • S. A. Mashkovich

Organizations

  • National Air and Space Intelligence Center

Tags

DTIC Thesaurus Topics

  • Application Software
  • Collaborative Techniques
  • Computer Programs
  • Delphi Method
  • Diffraction
  • Digital Information
  • Personal Information Managers
  • Precision
  • Spectra

Readers

  • Ocean-Atmosphere Mesoscale Modeling, Data Assimilation, and Flux Boundary Layers
  • Regression Analysis.
  • Strategic Security Studies