A Stochastic Model for the Evolution of Cloud Cover, Estimation of Parameters and Goodness of Fit Based on Boston Data

Abstract

A stochastic model is proposed for the evolution of cloud cover. In this model each of the four observable states (clear, partially cloudy, cloudy, and overcast) is assumed to be the image under some function of two states of an eight state Markov chain. Estimates are given of transition probabilities in the observable four state process. Tables which allow assessment of the accuracy of the estimates and of the goodness of fit of the model are also provided.

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Document Details

Document Type
Technical Report
Publication Date
May 07, 1965
Accession Number
AD0616394

Entities

People

  • Herman Rubin
  • Martin Fox

Organizations

  • Michigan State University

Tags

Fields of Study

  • Mathematics

Readers

  • Adaptive Control and Estimation with Uncertainty in Dynamic Systems.
  • Atmospheric Remote Sensing.
  • Regression Analysis.