Low-level stratus prediction using binary statistical regression : a progress report using Moffett Field data
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Authors
Gaver, Donald Paul
Jacobs, Patricia A.
Subjects
Single station prediction of stratus
logistic model
dewpoint depression
robust estimation
shrinkage
logistic model
dewpoint depression
robust estimation
shrinkage
Advisors
Date of Issue
1983-12
Date
1983-12
Publisher
Monterey, California. Naval Postgraduate School
Language
en_US
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 (high) 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 op
reserved data sets (cross-validation). Results of the crossvalidation
are given.
Type
Technical Report
Description
Series/Report No
Department
Identifiers
NPS Report Number
NPS55-83-034
Sponsors
supported by the Naval Environmental Prediction Research Facility, and by the Probability and Statistics Program of the Office of Naval Research
Funder
N0001484WR24011
Format
Citation
Distribution Statement
Rights
This publication is a work of the U.S. Government as defined in Title 17, United States Code, Section 101. Copyright protection is not available for this work in the United States.