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Spatial and Temporal Features of Mountain Wave Related Turbulence. * Ž eljko Ve č enaj, # Stephan de Wekker & + Vanda Grubi š i ć * Department of Geophysics, Faculty of Science, University of Zagreb, Croatia # Department of Environmental Sciences, University of Virginia, Virginia
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Spatial and Temporal Features of Mountain Wave Related Turbulence *Željko Večenaj, #Stephan de Wekker & +Vanda Grubišić *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@gfz.hr .
CONTENT • INTRODUCTION • DATA ANALYSIS • RESULTS • CONCLUSIONS
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:
Richardson number • We are interested in following situations: Ri >> 0 ……… Stable situation Ri << 0 ………. Convectively produced turbulence Ri ≈ 0 ………... Turbulence produced by wind stress
I.1. ESTIMATION OF ε • For evaluation of ε, the Inertial Dissipation Method (IDM) provided by the Kolmogorov’s 1941 hypotheses can be employed • Condition: Taylor’s Hypotheses (TH) of frozen turbulence must be valid (transformation from time to space domain) • Criterion:(e.g. Stull, 1988) M.........Mean horizontal wind speed σM........Standard deviation
Power spectrum density in inertial subrange: (1) • Using TH, ε can be evaluated from (Champagne et al., 1977): (2) ..........mean streamwise velocity component Su(f) ......power spectrum density ..........Kolmogorov’s constant
II. DATA ANALYSIS Figure 1. The map of the area of interest along with the towers locations.
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
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.
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).
III. RESULTS Figure 4. Time series of 1 minute dissipation rate values Figure 5. Time series of 15 minute dissipation rate values
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 ofthe 1 min mechanical term in time for all three towers.
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