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Spatial and Temporal Features of Mountain Wave Related Turbulence

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Title: Spatial and Temporal Features of Mountain Wave Related Turbulence


1
Spatial and Temporal Features of Mountain Wave
Related Turbulence
  • Željko Vecenaj, Stephan de Wekker Vanda
    Grubišic
  • Department of Geophysics, Faculty of Science,
    University of Zagreb, Croatia
  • Department of Environmental Sciences, University
    of Virginia, Virginia
  • Division of Atmospheric Sciences, Desert
    Research Institute, Reno, Nevada
  • Email zvecenaj_at_gfz.hr
  • .

2
CONTENT
  1. INTRODUCTION
  2. DATA ANALYSIS
  3. RESULTS
  4. CONCLUSIONS

3
I. INTRODUCTION
  • OBJECTIVE
  • To study the horizontal and vertical structure
    of TKE generation and destruction in a variety of
    weather situations during T-REX
  • To combine aerosol lidar data and towers data
  • TURBULENT KINETIC ENERGY BALANCE EQUATION

4
  • Richardson number
  • We are interested in following situations
  • Ri gtgt 0 Stable situation
  • Ri ltlt 0 . Convectively produced
    turbulence
  • Ri 0 ... Turbulence produced by
    wind stress

5
I.1. ESTIMATION OF e
  • For evaluation of e, the Inertial Dissipation
    Method (IDM) provided by the Kolmogorovs 1941
    hypotheses can be employed
  • Condition Taylors Hypotheses (TH) of frozen
    turbulence must be valid (transformation from
    time to space domain)
  • Criterion (e.g.
    Stull, 1988)
  • M.........Mean horizontal wind
    speed
  • sM........Standard deviation

6
  • Power spectrum density in inertial subrange
  • (1)
  • Using TH, e can be evaluated from (Champagne et
    al., 1977)
  • (2)
  • ..........mean streamwise
    velocity component
  • Su(f) ......power spectrum
    density
  • ..........Kolmogorovs
    constant

7
II. DATA ANALYSIS
Figure 1. The map of the area of interest along
with the towers locations.
8
  • Height of towers 35 m
  • 6 vertical levels 5, 10, 15, 20, 25 and 30 m
  • CSAT3 ultrasonic anemometers
  • Sampling rate 60 Hz
  • The data are averaged down to 10 Hz for
    further analysis
  • period of interest 02 March 00 UTC to 04
    March 00 UTC (IOP1)
  • Ggccc

9

Figure 2. East (first row) and north (second row)
10 Hz wind speed components of the observed 6 hr
episode (black curve). White curve is the 5 min
moving average. Vertical dashed lines denote a
period of interest.
10

Figure 3. The time series of the Bulk Richardson
number in the layer between 5 30 m (for the
west tower between 5 25 m).
11
III. RESULTS
Figure 4. Time series of 1 minute dissipation
rate values
Figure 5. Time series of 15 minute dissipation
rate values
12
Figure 6. Vertical distribu- tion of 15 minutes
averages of the 1 min TKE dissipation rate in
time for all three towers.
Figure 7. Vertical distribu- tion of 15 minutes
averages of the 1 min mechanical term in time
for all three towers.
13
IV. CONCLUSIONS
  • We have started to analyze turbulence data from
    the three NCAR towers
  • Independence of the averaging period is present
  • Balance of the mechanical term and the TKE
    dissipation rate is present
  • Next steps
  • (1) To extend this work to the other two towers
    and to other IOPs/EOPs to investigate spatial
    and temporal structure in a variety of stability
    and wind conditions
  • (2) Comparison with estimates/observations from
    other instruments (wind profiler/lidar/aircraft)

Acknowledgments we would like to thank Steve
Oncley for providing turbulence data
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