Some Models for Ceiling.
Abstract
There are many situations where it is useful to estimate the probability that some weather event will occur on some specified future date. A way of making the estimate is to calculate the proportion of time that the event occurred in previous years. There exist large environmental data bases that can be used to make such estimates. Because these data bases are so large, summaries are usually used. USAFETAC, Air Weather Service, regularly produces, for a large number of stations, a 'Revised Uniform Summary of Surface Weather Observations'. These 'RUSSWO's' provide a very convenient summary and are widely used. This report makes use of the Burr Curve with three parameters to effectively compact data on ceiling for a number of locations. The Burr Curve, which has a closed form cumulative distribution function, is used to model ceiling. Ceiling is modeled for 23 stations distributed throughout the world. Separate models are given for each station for each month and for each three-hour period of the day. Estimates of the error in using the model to estimate ceiling probabilities are given.
Document Details
- Document Type
- Technical Report
- Publication Date
- Aug 31, 1979
- Accession Number
- ADA078033
Entities
People
- Mark Heuser
- Paul N. Somerville
- Steven J. Bean
Organizations
- University of Central Florida