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Some Criteria for Distinguishing Large Scale Weather Processes

Citation

Montgomery, John Osmer (1947) Some Criteria for Distinguishing Large Scale Weather Processes. Master's thesis, California Institute of Technology. doi:10.7907/yzj1-fk03. https://resolver.caltech.edu/CaltechTHESIS:08132025-183358936

Abstract

The concept of a large scale weather process covering a hemisphere or perhaps the whole earth and lasting for periods of twenty to thirty days presents some possible value as an aid in extending weather forecast periods beyond those now used with any degree of confidence, In defining and studying such processes various factors must be considered such as tl1e general atmospheric circulation trends and flow patterns, centers of high pressure and low pressure action, and zones of convergence of airflow; and the movement of these zones. Comprehensive charts, flow pattern charts, or any other chart giving a broadscale weather picture over an extended period of time are of much use in making a subjective study. Statistical studies by computation of correlation coefficients or better yet by use of contingency tables furnish a more objective view of the problem. It is the purpose of this study to make preliminary investigations of these factors using some of these techniques. From a study of these processes it is hoped a procedure will be developed for forecasting the general atmospheric flow pattern and from this a reasonable weather forecast for several weeks.

Item Type: Thesis (Master's thesis)
Subject Keywords: (Meteorology)
Degree Grantor: California Institute of Technology
Division: Engineering and Applied Science
Major Option: Meteorology
Thesis Availability: Public (worldwide access)
Research Advisor(s):
  • Unknown, Unknown
Thesis Committee:
  • Unknown, Unknown
Defense Date: 2 January 1947
Record Number: CaltechTHESIS:08132025-183358936
Persistent URL: https://resolver.caltech.edu/CaltechTHESIS:08132025-183358936
DOI: 10.7907/yzj1-fk03
Default Usage Policy: No commercial reproduction, distribution, display or performance rights in this work are provided.
ID Code: 17620
Collection: CaltechTHESIS
Deposited By: Benjamin Perez
Deposited On: 14 Aug 2025 17:45
Last Modified: 14 Aug 2025 18:10

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