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    Implementation of a Nonlinear Subfilter Turbulence Stress Model for Large-Eddy Simulation in the Advanced Research WRF Model 

    Source: Monthly Weather Review:;2010:;volume( 138 ):;issue: 011:;page 4212
    Author(s): Mirocha, J. D.; Lundquist, J. K.; Kosović, B.
    Publisher: American Meteorological Society
    Abstract: Two formulations of a nonlinear turbulence subfilter-scale (SFS) stress model were implemented into the Advanced Research Weather Research and Forecasting model (ARW-WRF) version 3.0 for improved large-eddy simulation ...
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    Importance of Using Observations of Mixing Depths in order to Avoid Large Prediction Errors by a Transport and Dispersion Model 

    Source: Journal of Atmospheric and Oceanic Technology:;2009:;volume( 026 ):;issue: 001:;page 22
    Author(s): White, J. M.; Bowers, J. F.; Hanna, S. R.; Lundquist, J. K.
    Publisher: American Meteorological Society
    Abstract: The mixing depth of the boundary layer is an input to most atmospheric transport and dispersion (ATD) models, which obtain mixing depths in one of four ways: 1) observations by radiosondes, sodars, or other devices; 2) ...
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    Lidar Investigation of Atmosphere Effect on a Wind Turbine Wake 

    Source: Journal of Atmospheric and Oceanic Technology:;2013:;volume( 030 ):;issue: 011:;page 2554
    Author(s): Smalikho, I. N.; Banakh, V. A.; Pichugina, Y. L.; Brewer, W. A.; Banta, R. M.; Lundquist, J. K.; Kelley, N. D.
    Publisher: American Meteorological Society
    Abstract: n experimental study of the spatial wind structure in the vicinity of a wind turbine by a NOAA coherent Doppler lidar has been conducted. It was found that a working wind turbine generates a wake with the maximum velocity ...
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    Parameterization of the Atmospheric Boundary Layer: A View from Just Above the Inversion 

    Source: Bulletin of the American Meteorological Society:;2008:;volume( 089 ):;issue: 004:;page 453
    Author(s): Teixeira, J.; Stevens, B.; Bretherton, C. S.; Cederwall, R.; Klein, S. A.; Lundquist, J. K.; Doyle, J. D.; Golaz, J. C.; Holtslag, A. A. M.; Randall, D. A.; Siebesma, A. P.; Soares, P. M. M.
    Publisher: American Meteorological Society
    Abstract: No Abstract available.
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    The Perdigão: Peering into Microscale Details of Mountain Winds 

    Source: Bulletin of the American Meteorological Society:;2018:;volume 100:;issue 005:;page 799
    Author(s): Fernando, H. J. S.; Mann, J.; Palma, J. M. L. M.; Lundquist, J. K.; Barthelmie, R. J.; Belo-Pereira, M.; Brown, W. O. J.; Chow, F. K.; Gerz, T.; Hocut, C. M.; Klein, P. M.; Leo, L. S.; Matos, J. C.; Oncley, S. P.; Pryor, S. C.; Bariteau, L.; Bell, T. M.
    Publisher: American Meteorological Society
    Abstract: AbstractA grand challenge from the wind energy industry is to provide reliable forecasts on mountain winds several hours in advance at microscale (?100 m) resolution. This requires better microscale wind-energy physics ...
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    Doppler Lidar Evaluation of HRRR Model Skill at Simulating Summertime Wind Regimes in the Columbia River Basin during WFIP2 

    Source: Weather and Forecasting:;2021:;volume( 036 ):;issue: 006:;page 1961
    Author(s): Banta, Robert M.;Pichugina, Yelena L.;Darby, Lisa S.;Brewer, W. Alan;Olson, Joseph B.;Kenyon, Jaymes S.;Baidar, S.;Benjamin, S. G.;Fernando, H. J. S.;Lantz, K. O.;Lundquist, J. K.;McCarty, B. J.;Marke, T.;Sandberg, S. P.;Sharp, J.;Shaw, W. J.;Turner, D. D
    Publisher: American Meteorological Society
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