Remote detection of turbulence using ground-based doppler radars

John K. Williams; Larry Cornman; Danika Gilbert; Steven G. Carson; Jaimi Yee

Remote detection of turbulence using ground-based doppler radars

John K. Williams
, Larry Cornman
, Danika Gilbert
, Steven G. Carson
, Jaimi Yee

National Center for Atmospheric Research

Research output: Abstract › Paper › peer-review

4 Scopus citations

Abstract

A new Doppler radar turbulence detection algorithm, the NTDA, utilizes the radar reflectivity, radial velocity, and spectrum width data to perform quality control and produce eddy dissipation rate (EDR) estimates. The various EDR estimates, along with their associated confidences, are combined in a fuzzy-logic framework, with a single EDR and associated confidence produced for each radar measurement location. The B-757's 20 Hz vertical winds were used to estimate EDR, an atmospheric turbulence metric, using a single parameter maximum likelihood -5/3 model that assumes a von Karman energy spectrum form.

Original language	English
Pages	165-170
Number of pages	6
State	Published - 2004
Event	11th Conference on Aviation, Range, and Aerospace Meterology - Hyannis, MA, United States Duration: Oct 4 2004 → Oct 8 2004

Conference

Conference	11th Conference on Aviation, Range, and Aerospace Meterology
Country/Territory	United States
City	Hyannis, MA
Period	10/4/04 → 10/8/04

Cite this

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title = "Remote detection of turbulence using ground-based doppler radars",

abstract = "A new Doppler radar turbulence detection algorithm, the NTDA, utilizes the radar reflectivity, radial velocity, and spectrum width data to perform quality control and produce eddy dissipation rate (EDR) estimates. The various EDR estimates, along with their associated confidences, are combined in a fuzzy-logic framework, with a single EDR and associated confidence produced for each radar measurement location. The B-757's 20 Hz vertical winds were used to estimate EDR, an atmospheric turbulence metric, using a single parameter maximum likelihood -5/3 model that assumes a von Karman energy spectrum form.",

author = "Williams, \{John K.\} and Larry Cornman and Danika Gilbert and Carson, \{Steven G.\} and Jaimi Yee",

year = "2004",

language = "English",

pages = "165--170",

note = "11th Conference on Aviation, Range, and Aerospace Meterology ; Conference date: 04-10-2004 Through 08-10-2004",

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TY - CONF

T1 - Remote detection of turbulence using ground-based doppler radars

AU - Williams, John K.

AU - Cornman, Larry

AU - Gilbert, Danika

AU - Carson, Steven G.

AU - Yee, Jaimi

PY - 2004

Y1 - 2004

N2 - A new Doppler radar turbulence detection algorithm, the NTDA, utilizes the radar reflectivity, radial velocity, and spectrum width data to perform quality control and produce eddy dissipation rate (EDR) estimates. The various EDR estimates, along with their associated confidences, are combined in a fuzzy-logic framework, with a single EDR and associated confidence produced for each radar measurement location. The B-757's 20 Hz vertical winds were used to estimate EDR, an atmospheric turbulence metric, using a single parameter maximum likelihood -5/3 model that assumes a von Karman energy spectrum form.

AB - A new Doppler radar turbulence detection algorithm, the NTDA, utilizes the radar reflectivity, radial velocity, and spectrum width data to perform quality control and produce eddy dissipation rate (EDR) estimates. The various EDR estimates, along with their associated confidences, are combined in a fuzzy-logic framework, with a single EDR and associated confidence produced for each radar measurement location. The B-757's 20 Hz vertical winds were used to estimate EDR, an atmospheric turbulence metric, using a single parameter maximum likelihood -5/3 model that assumes a von Karman energy spectrum form.

UR - https://www.scopus.com/pages/publications/23944436599

M3 - Paper

AN - SCOPUS:23944436599

SP - 165

EP - 170

T2 - 11th Conference on Aviation, Range, and Aerospace Meterology

Y2 - 4 October 2004 through 8 October 2004

ER -

Remote detection of turbulence using ground-based doppler radars

Abstract

Conference

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