Accession Number : ADA140468

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

Descriptive Note : Technical rept.,


Personal Author(s) : Gaver,D P ; Jacobs,P A

PDF Url : ADA140468

Report Date : Dec 1983

Pagination or Media Count : 91

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)

Descriptors :   *Mathematical prediction, *Mathematical models, *Regression analysis, *Stratus clouds, *Airports, Low level, Statistical analysis, Data bases, Binary arithmetic, Dew point, Meteorological data, Tables(Data)

Subject Categories : Terminal Flight Facilities
      Statistics and Probability

Distribution Statement : APPROVED FOR PUBLIC RELEASE