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 (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.
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.NPS Report Number
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