Gaussian Markov Related Variates for Meteorological Planning.

Abstract

The Gaussian-Markov process or Ornstein-Uhlenbeck (O-U) process successfully models fluctuations in upper-level wind velocity, rainfall, temperatures, etc. On-line predictions for longrange operational planning require the distribution of the maximum value of X(t), the stationary O-U process over an interval of specified duration. The required distribution and its basic properties are presented with accompanying tables and graphs. Algorithmic techniques required for on-line predictions are indicated. (Author)

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Document Details

Document Type
Technical Report
Publication Date
Nov 14, 1979
Accession Number
ADA081382

Entities

People

  • H. F. Ross
  • J. Keilson

Organizations

  • University of Rochester

Tags

Communities of Interest

  • Materials and Manufacturing Processes

DTIC Thesaurus Topics

  • Air Force
  • Data Science
  • Distribution Functions
  • Information Science
  • Knowledge Management
  • Markov Processes
  • Meteorology
  • Monte Carlo Method
  • Normal Distribution
  • Probability
  • Probability Density Functions
  • Random Variables
  • Relaxation Time
  • Statistical Processes
  • Statistics
  • Stochastic Processes
  • Wind Velocity

Readers

  • Atmospheric Science/Meteorology
  • Defense Acquisition Program Management
  • Mathematical Modeling and Probability Theory.