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Evaluation of the TAMDAR Turbulence Algorithm

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Look into other window lengths. Evaluation Methodology, cont'd. Use NCAR algorithm applied to: ... Data Analysis First Test Flight. True Airspeed from UND and TAMDAR ... – PowerPoint PPT presentation

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Title: Evaluation of the TAMDAR Turbulence Algorithm


1
Evaluation of the TAMDARTurbulence Algorithm
  • Larry Cornman
  • Research Applications Laboratory
  • National Center for Atmospheric Research

2
Turbulence Calculations
  • The TAMDAR turbulence algorithm is based on
  • True airspeed (TAS) values.
  • Sampled at 10.67Hz.
  • Anti-aliasing filter applied.
  • 32-point window 3 second interval.
  • Maximum likelihood algorithm.

3
Evaluation Methodology
  • Use NCAR algorithm (max. likelihood technique)
    applied to the TAMDAR TAS data
  • Use 32-point window.
  • Account for anti-aliasing filter.
  • Look into other window lengths.

4
Evaluation Methodology, contd.
  • Use NCAR algorithm applied to
  • UND high-rate TAS (nose and wing ports).
  • UND high-rate longitudinal wind.
  • UND high-rate vertical wind.
  • Simulated data.

5
Data Analysis First Test Flight
True Airspeed from UND and TAMDAR
6
Data Analysis First Test Flight
One-Lag Plot True Airspeed from TAMDAR
7
Data Analysis First Test Flight
Average Spectra True Airspeed from TAMDAR (109
256-pt windows, ½ overlap)
8
Data Analysis First Test Flight
Raw 32-pt Spectra True Airspeed from TAMDAR
9
Data Analysis First Test Flight
EDRs from UND and TAMDAR
10
Data Analysis First Test Flight
Histogram of EDRs from UND and TAMDAR
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