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  • Journal of Atmospheric and Oceanic Technology x
  • 16th International Symposium for the Advancement of Boundary-Layer Remote Sensing (ISARS 2012) x
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Jacob Berg, Jakob Mann, and Edward G. Patton

because of the relatively weak influence of the Coriolis force here. In addition, the streamwise vertical momentum flux is controlled by wind shear in agreement with the turbulent-viscosity hypothesis ( Pope 2000 ): where the turbulent eddy viscosity is given by ν T . We have used the normal micrometeorological coordinate system convention that x is aligned with the near-surface mean wind direction—that is, U ( z ) is the mean wind with superimposed fluctuations u ′( x , y , z , t ), and

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Valery M. Melnikov, Richard J. Doviak, Dusan S. Zrnić, and David J. Stensrud

appear differently in different azimuthal directions. Visible and infrared satellite imagery (not shown) indicates the presence of thin upper-level clouds across central Oklahoma. Observers from Tinker Air Force Base (AFB) and Oklahoma City at 1650 UTC reported cloud bases at 7.6 and 8.5 km AGL, respectively. These reported cloud bases agree well with the layer between 7.5 and 9.5 km in Fig. 1a , indicating the layer is produced by particulate scattering ( Z DR of about 1 dB) from nonprecipitating

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Margarita A. Kallistratova, Rostislav D. Kouznetsov, Valerii F. Kramar, and Dmitrii D. Kuznetsov

according to the external forcing parameters, whereas we use purely morphological classification. Fig . 1. Typical shapes of 30-min wind speed profiles under stable conditions obtained by the sodar at ZSS. (top) Weak LLJ, strong stability; (middle) moderate LLJ; (bottom) strong LLJ, weak stability. The types b, f, and j were observed during 68% of winter and 50% of summer nights. They are often, but not always, accompanied by the appearance of distinct wave patterns in the form of inclined stripes of

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David Schlipf, Po Wen Cheng, and Jakob Mann

(black), measured (dark gray), and ± σ confidence bounds (light gray shading). Maximum wavenumber (dashed). 6. Lidar system optimization The proposed model can be used to optimize the configuration or the scanning pattern of a lidar system. As an example the model is used to determine the optimum correlation of a lidar system with three independent beams on a turbine with D = 40 m. For this purpose, the measurement distance x and the scan radius r are varied in a brute force optimization

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A. B. White, M. L. Anderson, M. D. Dettinger, F. M. Ralph, A. Hinojosa, D. R. Cayan, R. K. Hartman, D. W. Reynolds, L. E. Johnson, T. L. Schneider, R. Cifelli, Z. Toth, S. I. Gutman, C. W. King, F. Gehrke, P. E. Johnston, C. Walls, D. Mann, D. J. Gottas, and T. Coleman

tool display derived from a prototype ARO deployed in Sonoma County, California, as part of the HMT 2008/09 field season. This display, developed jointly by operational weather forecasters and HMT research scientists, combines observations with numerical weather prediction output to help monitor and forecast the forcings associated with landfalling ARs. Weather forecasters and other end users can use this tool to verify how well the HMT weather forecast model is portraying the AR conditions and the

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