Accession Number : ADA295177
Title : The Use of Air Force Cloud Cover Data to Evaluate and Improve Cloud Forecast and Parameterization in Mesoscale Meteorology Models.
Descriptive Note : Final technical rept. 1 Oct 91-31 Mar 95,
Corporate Author : STATE UNIV OF NEW YORK AT ALBANY ATMOSPHERIC SCIENCES RESEARCH CENTER
Personal Author(s) : Walcek, Chris J.
PDF Url : ADA295177
Report Date : 19 MAY 1995
Pagination or Media Count : 47
Abstract : Current methods of forecasting cloud cover within meteorology forecast models contain a high level of uncertainty. The primary goal of this research program was to reduce this uncertainty by utilizing satellite and surface-derived cloud observations together with standard meteorological measurements to evaluate and improve our ability to accurately diagnose and forecast cloud coverage. (MM)
Descriptors : *WEATHER FORECASTING, *CLOUD COVER, ALGORITHMS, CLOUDS, METEOROLOGICAL SATELLITES, SEASONAL VARIATIONS, METEOROLOGY, TROPOSPHERE, CYCLONES, STANDARD DEVIATION, HUMIDITY, CONVECTION(ATMOSPHERIC).
Subject Categories : Meteorology
Distribution Statement : APPROVED FOR PUBLIC RELEASE