Low-Level Stratus Prediction Using Binary Statistical Regression: A Progress Report Using Moffett Field Data.

Abstract

Various statistical models and techniques were employed to forecast the existence of low-level stratus conditions. They are illustrated for data at a single station (Moffett Field, Sunnyvale, California) using single-station surface meteorological measurements only as explanatory variables. A preliminary exploratory data analysis shows that low (right) dew point depression is associated with the existence (non-existence) of low-level stratus at Moffett Field. Procedures for and results of various methods of fitting logistic models to the data are described. The fitted models were used to forecast stratus on reserved data sets (cross-validation). Results of the cross-validation are given. (Author)

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Document Details

Document Type
Technical Report
Publication Date
Dec 01, 1983
Accession Number
ADA140468

Entities

People

  • Donald P. Gaver
  • P. A. Jacobs

Organizations

  • Naval Postgraduate School

Tags

Communities of Interest

  • Biomedical
  • Weapons Technologies

DTIC Thesaurus Topics

  • Computational Science
  • Data Analysis
  • Data Mining
  • Data Science
  • Databases
  • Information Science
  • Linear Accelerators
  • Mathematical Filters
  • Oceanography
  • Operations Research
  • Probability
  • Random Variables
  • Research Facilities
  • Statistical Analysis
  • Statistics
  • Surveys
  • Three Dimensional

Fields of Study

  • Environmental science

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  • Climatology
  • Ocean-Atmosphere Mesoscale Modeling, Data Assimilation, and Flux Boundary Layers
  • Psychometric Testing or Psychological Assessment.