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Development of a cloud forecast scheme for the GL Baseline Global Spectral Model

Author: Kenneth E Mitchell; Douglas C Hahn; Geophysics Laboratory (U.S.). Atmospheric Sciences Division.
Publisher: Hanscom AFB, Mass. : Geophysics Laboratory, United States Air Force, 1989.
Series: GL-TR, 89-343.; Environmental research papers (Hanscom AFB, Mass.), No. 1039.
Edition/Format:   Print book : National government publication : EnglishView all editions and formats
Summary:
Using forecast relative humidity (RH) from a global model, several pre-existing diagnostic RH-to-cloud schemes were tested to forecast global fractional cloud cover in a postprocessor format. Since none of the schemes tested provided a superior cloud forecast when compared to Air Force Global Weather Central's (AFGWC) operational 5LAYER cloud forecasts, a new RH-to-cloud scheme was developed by relating cumulative  Read more...
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Material Type: Government publication, National government publication
Document Type: Book
All Authors / Contributors: Kenneth E Mitchell; Douglas C Hahn; Geophysics Laboratory (U.S.). Atmospheric Sciences Division.
OCLC Number: 368275200
Notes: Cover title.
"20 December 1989."
ADA231595 (from http://www.dtic.mil).
Atmospheric Sciences Division Project 6670.
Research supported by the Geophysics Laboratory, United States Air Force, Hanscom AFB, Massachusetts.
Description: xii, 147, 4 pages : illustrations ; 28 cm.
Series Title: GL-TR, 89-343.; Environmental research papers (Hanscom AFB, Mass.), No. 1039.
Responsibility: Kenneth E. Mitchell, Douglas C. Hahn.

Abstract:

Using forecast relative humidity (RH) from a global model, several pre-existing diagnostic RH-to-cloud schemes were tested to forecast global fractional cloud cover in a postprocessor format. Since none of the schemes tested provided a superior cloud forecast when compared to Air Force Global Weather Central's (AFGWC) operational 5LAYER cloud forecasts, a new RH-to-cloud scheme was developed by relating cumulative frequencies of forecast RH to cumulative frequencies of analyzed cloud cover from the AFGWC RTNEPH cloud analysis. This scheme creates a series of forecast time-dependent RH-to-cloud curves that can be temporally updated to account for changes in season, cloud analysis, or forecast model, The global model used was a spectral-type developed by the Geophysics Laboratory (GL) using parameterized diabatic physics presently incorporated in the operational GSM (global spectral model) at AFGWC.

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Primary Entity

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