A Multivariate Methodology for the Analysis of Weather Modification Experiments.

Abstract

This paper develops applications of multivariate statistical models, particularly principal component analysis, to the analysis of data from weather modification experiments. The efficacy of these multivariate applications is examined by applying the proposed models to data from Phase I of the Santa Barbara Convective Band Seeding Program conducted for the Navy by North American Weather Consultants. Multivariate summary measures of precipitation are developed and multivariate methods are given to analyze the effects of cloud-seeding on precipitation. Results from these models, based on the above-mentioned data set, are reported along with conclusions and suggestions for further work. An appendix provides detailed summary statistics for the analyses. (Author)

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Document Details

Document Type
Technical Report
Publication Date
Aug 01, 1979
Accession Number
ADA076164

Entities

People

  • Elton Scott

Organizations

  • Florida State University

Tags

Communities of Interest

  • Weapons Technologies

DTIC Thesaurus Topics

  • Contracts
  • Covariance
  • Data Analysis
  • Data Mining
  • Data Science
  • Data Sets
  • Factor Analysis
  • Governments
  • Information Science
  • Military Research
  • Multivariate Analysis
  • Precipitation
  • Statistical Analysis
  • Statistics
  • United States
  • United States Government
  • Weather Modification

Fields of Study

  • Mathematics

Readers

  • Computational Modeling and Simulation
  • Statistical inference.
  • Technical Research and Report Writing.