Investigation of the Application of Stochastic Modeling to Climate Prediction.

Abstract

This report summarizes preliminary work undertaken inconsideration of the use of stochastic approaches to climate modeling. It includes a survey of the difficulties involved with representation of atmospheric dynamics for climate questions and some recommendations for directions of research needed to deal with them. The results of two specific analytic studies are included. The first demonstrates that the complete stochastic formulation in terms of an infinite hierarchy of moment equations is directly applicable to time-averaged as well as instantaneous representations of the dependent variables. The second analytic result presents a methodology for time (and space) truncation of the deterministic predictive part of the equations of atmospheric motion that can considerably reduce computation times for climatic (and weather) models.

Document Details

Document Type
Technical Report
Publication Date
Oct 01, 1974
Accession Number
ADA001922

Entities

People

  • J. A. Laurmann

Tags

DTIC Thesaurus Topics

  • Atmospheric Motion
  • Computations
  • Dynamics
  • Equations
  • Hierarchies
  • Mathematics
  • Truncation

Readers

  • Adaptive Control and Estimation with Uncertainty in Dynamic Systems.
  • Fluid Dynamics.
  • Theoretical Analysis.

Technology Areas

  • Space