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(2009)
Makienko, “Digital ultrasonic weather station,
R. Stephenson (1962)
A and VBritish Journal of Ophthalmology, 46
(2008)
Emel'yanov, Simulation of Large Vortices in Calculations of Turbulent Flows
G. Rivin, I. Rozinkina, R. Vil’fand, D. Kiktev, K. Tudrii, D. Blinov, M. Varentsov, D. Zakharchenko, T. Samsonov, I. Repina, A. Artamonov (2020)
Development of the High-resolution Operational System for Numerical Prediction of Weather and Severe Weather Events for the Moscow RegionRussian Meteorology and Hydrology, 45
V. A. Gladkikh, A. A. Mamysheva, I. V. Nevzorova, S. L. Odintsov (2022)
Estimation and comparison of mixed moments of turbulent- and mesometeorological-scale wind vector components in the surface air layerOpt. Atmos. Okeana, 35
M. Bode, T. Hedde, P. Roubin, P. Durand (2021)
Fine-Resolution WRF Simulation of Stably Stratified Flows in Shallow Pre-Alpine Valleys: A Case Study of the KASCADE-2017 CampaignAtmosphere
R. Rai, L. Berg, B. Kosović, J. Mirocha, M. Pekour, W. Shaw (2017)
Comparison of Measured and Numerically Simulated Turbulence Statistics in a Convective Boundary Layer Over Complex TerrainBoundary-Layer Meteorology, 163
(2007)
Investigation of wind velocity variations on mesometeorological scale from sodar observations,
(2019)
Evalution of the TSUNM3 high-resolution mesoscale NWP modelОптика атмосферы и океана
V. Boyko, N. Vercauteren (2020)
Multiscale Shear Forcing of Turbulence in the Nocturnal Boundary Layer: A Statistical AnalysisBoundary-Layer Meteorology, 179
Rachel Honnert, F. Couvreux, V. Masson, Dávid Lancz (2016)
Sampling the Structure of Convective Turbulence and Implications for Grey-Zone ParametrizationsBoundary-Layer Meteorology, 160
A. Inagaki, M. Kanda (2010)
Organized Structure of Active Turbulence Over an Array of Cubes within the Logarithmic Layer of Atmospheric FlowBoundary-Layer Meteorology, 135
V. A. Gladkih, A. E. Makienko (2009)
Digital ultrasonic weather stationPribory, No., 7
K. Blackman, L. Perret, E. Savory (2018)
Effects of the Upstream-Flow Regime and Canyon Aspect Ratio on Non-linear Interactions Between a Street-Canyon Flow and the Overlying Boundary LayerBoundary-Layer Meteorology, 169
V. Gladkikh, A. Mamysheva, I. Nevzorova, S. Odintsov (2022)
Comparison of the contributions of turbulent and mesoscale processes to the wind field of the atmospheric surface layer, 12341
John Kealy, G. Efstathiou, R. Beare (2019)
The Onset of Resolved Boundary-Layer Turbulence at Grey-Zone ResolutionsBoundary-Layer Meteorology, 171
Mesoscale differences in the ozone concentration in the surface air layer in Tomsk region ( 2010 – 2012 )
V. Gladkikh, I. Nevzorova, S. Odintsov (2021)
Heat Fluxes in the Surface Air Layer with Decomposition of Initial Components into Different ScalesAtmospheric and Oceanic Optics, 34
P. Doubrawa, D. Muñoz‐Esparza (2020)
Simulating Real Atmospheric Boundary Layers at Gray-Zone Resolutions: How Do Currently Available Turbulence Parameterizations Perform?Atmosphere, 11
Dávid Lancz, B. Szintai, Rachel Honnert (2018)
Modification of a Parametrization of Shallow Convection in the Grey Zone Using a Mesoscale ModelBoundary-Layer Meteorology, 169
V. Gladkikh, I. Nevzorova, S. Odintsov (2019)
Statistics of Outer Turbulence Scales in the Surface Air LayerAtmospheric and Oceanic Optics, 32
(2019)
Structure of wind gusts in the surface air layerОптика атмосферы и океана
V. Gladkikh, A. Mamysheva, I. Nevzorova, S. Odintsov (2022)
Estimation and Comparison of Mixed Moments of Turbulent and Mesometeorological-Scale Wind Vector Components in the Surface Air LayerAtmospheric and Oceanic Optics, 35
F. Nieuwstadt, H. Dop (1982)
Atmospheric Turbulence and Air Pollution Modelling
The time and space derivatives of the air temperature and its products with the wind vector components are analyzed for the cases where the temperature and wind fields are split into the deterministic, meso-gamma scale, and turbulent parts. Ultrasonic thermoanemometer measurements in the surface air layer are used for the analysis. The variability ranges of the derivatives are estimated including meso-gamma scale variations in the temperature and wind fields. The variability ranges of these derivatives are compared with those of the “classical” derivatives (when only deterministic and turbulent parts are considered). The derivatives of the meso-gamma components are shown to be comparable with the components which include only the turbulent parts.
Atmospheric and Oceanic Optics – Springer Journals
Published: Feb 1, 2023
Keywords: wind; meso-gamma scale; surface layer; gray zone; temperature; turbulence
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