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Clear air turbulence forecasting techniquesA method to improve clear air turbulence (CAT) forecasting by more effectively using the currently operational rawinsonde (RW) system is discussed. The method is called the Diagnostic Richardson Number Tendency (DRT) technique. The technique does not attempt to use the RW as a direct detector of the turbulent motion or even of the CAT mechanism structure but rather senses the synoptic scale centers of action which provide the energy to the CAT mechanism at the mesoscale level. The DRT algorithm is deterministic rather than statistical in nature, using the hydrodynamic equations (equations of motion) relevant to the synoptic scale. However, interpretation, by necessity, is probabilistic. What is most important with respect to its operational implementation is that this method uses the same input data as currently used by the operational National Meteorological Center prognostic models.
Document ID
19810006059
Acquisition Source
Legacy CDMS
Document Type
Conference Paper
Authors
Keller, J. L.
(Dayton Univ. OH, United States)
Date Acquired
August 11, 2013
Publication Date
March 1, 1980
Publication Information
Publication: NASA. Marshall Space Flight Center Proc.: Fourth Ann. Workshop on Meteorol. and Environ. Inputs to Aviation Systems
Subject Category
Meteorology And Climatology
Accession Number
81N14573
Distribution Limits
Public
Copyright
Work of the US Gov. Public Use Permitted.
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