Analyzed Potential Vorticity Fields for Explosive and Non-Explosive Cyclogenesis Events During FGGE (First GARP (Global Atmospheric Research Program) Global Experiment).

Potential vorticity and jet streak properties associated with 23 explosive and nonexplosive cyclones from the western North Atlantic and western North Pacific Oceans are analyzed for January and February 1979. ECMWF analyses with FGGE data are used to represent the 300 mb winds over these ocean area...

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Bibliographic Details
Main Author: Kirchoffer,Peter J
Other Authors: NAVAL POSTGRADUATE SCHOOL MONTEREY CA
Format: Text
Language:English
Published: 1986
Subjects:
Online Access:http://www.dtic.mil/docs/citations/ADA175671
http://oai.dtic.mil/oai/oai?&verb=getRecord&metadataPrefix=html&identifier=ADA175671
Description
Summary:Potential vorticity and jet streak properties associated with 23 explosive and nonexplosive cyclones from the western North Atlantic and western North Pacific Oceans are analyzed for January and February 1979. ECMWF analyses with FGGE data are used to represent the 300 mb winds over these ocean areas. Relative maxima in potential vorticity are present upstream of all cyclones. Storm tracks with respect to the potential vorticity with respect to the potential vorticity maxima are counterclockwise with the greatest sea level pressure decreases occurring when the storm is to the east or southeast of the maximum. Only five of the 23 cases have a preexisting potential vorticity lobe that becomes superposed with the surface feature and enhances cyclogenesis. In the remaining cases, the cyclone and potential vorticity lobe propagate and develop concurrently. The presence of a jet maxima over the storm is a major factor in storm development with large pressure falls being directly related to higher 300 mb wind speeds. In 20 of 23 cases, the storm is in the left front jet quadrant at some time during its development. A statistical analysis demonstrates that forecasting the actual values of 12h pressure falls from the potential vorticity and wind fields is difficult. However, forecasting development within one of three intensity categories using a discriminate analysis technique may approach 90% accuracy for explosive cyclones.