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dc.contributor.advisorWash, Carlyle H.
dc.contributor.advisorPfeiffer, Karl
dc.contributor.authorKuhl, Christopher T.
dc.date.accessioned2012-03-14T17:35:49Z
dc.date.available2012-03-14T17:35:49Z
dc.date.issued2006-09
dc.identifier.urihttp://hdl.handle.net/10945/2641
dc.description.abstractEncounters with turbulence generated by complex topography, convection, or mechanical forcing present a significant threat to military aircraft operations. Properly forecasting the initiation, duration, and intensity of such encounters is a tremendous challenge to forecasters often resulting in the over-forecasting of turbulence. Over-forecasting the presence or intensity of turbulence can result in unnecessary mission delays, cancellations, and re-routing. The lack of observations and the fact that turbulence is a microscale phenomenon which Numerical Weather Prediction (NWP) models currently can not resolve are what make forecasting turbulence so difficult. Progress has been made in the last several decades in both the observation of turbulence and the resolution of NWP models. A new turbulence forecast approach has been created based on recent developments in observing turbulence and using automated turbulence diagnostics. The development of an in-situ observation platform, using the Eddy Dissipation Rate (EDR), and the Graphical Turbulence Guidance (GTG) model are discussed. A turbulence forecast approach is derived that includes the synoptic patterns which create or allow the turbulent environment to exist, the use of current tools to observe turbulence, and the use of models to help form the turbulence forecast. A turbulence forecasting manual has been created to give the new forecaster improved guidance to effectively forecast turbulence.en_US
dc.format.extentxx. 169 p. : ill. ;en_US
dc.publisherMonterey California. Naval Postgraduate Schoolen_US
dc.rightsApproved for public release, distribution unlimiteden_US
dc.subject.lcshMeteorologyen_US
dc.subject.lcshNumerical analysisen_US
dc.subject.lcshSynoptic meteorologyen_US
dc.subject.lcshForecastingen_US
dc.subject.lcshTurbulenceen_US
dc.subject.lcshAlgorithmsen_US
dc.titleStudies in forecasting upper-level turbulenceen_US
dc.typeThesisen_US
dc.contributor.corporateNaval Postgraduate School
dc.contributor.departmentDepartment of Meteorology
dc.identifier.oclc72682642
etd.thesisdegree.nameM.S.en_US
etd.thesisdegree.levelMastersen_US
etd.thesisdegree.disciplineMeteorologyen_US
etd.thesisdegree.grantorNaval Postgraduate Schoolen_US
etd.verifiednoen_US


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