scholarly journals Thermally-driven Mesoscale Flows and their Interaction with Atmospheric Boundary Layer Turbulence

2020 ◽  
Author(s):  
Jon Ander Arrillaga Mitxelena
Keyword(s):  
Boundary Layer ◽  
Atmospheric Boundary Layer ◽  
Boundary Layer Turbulence ◽  
Thermally Driven

Hierarchical similarity in the atmospheric boundary layer turbulence

2005 ◽  
Vol 15 (12) ◽  
pp. 1110-1116 ◽  
Author(s):  
Liu Gang ◽  
Li Xin ◽  
Jiang Weimei ◽  
Li Min
Keyword(s):  
Boundary Layer ◽  
Atmospheric Boundary Layer ◽  
Boundary Layer Turbulence

scholarly journals Characterisation of the Dome C Atmospheric Boundary Layer Turbulence with a Non-Doppler Acoustic Radar

2007 ◽  
Vol 25 ◽  
pp. 31-34
Author(s):  
J.S. Lawrence ◽  
M.C.B. Ashley ◽  
C.S. Bonner ◽  
S. Bradley ◽  
D. Luong-Van ◽  
...  
Keyword(s):  
Boundary Layer ◽  
Atmospheric Boundary Layer ◽  
Boundary Layer Turbulence

scholarly journals Validation of atmospheric boundary layer turbulence model by on-site measurements

2010 ◽  
Vol 14 (1) ◽  
pp. 199-207 ◽  
Author(s):  
Zarko Stevanovic ◽  
Nikola Mirkov ◽  
Zana Stevanovic ◽  
Andrijana Stojanovic
Keyword(s):  
Boundary Layer ◽  
Atmospheric Boundary Layer ◽  
Linear Models ◽  
Stokes Equations ◽  
Turbulence Models ◽  
Navier Stokes ◽  
Navier Stokes Equations ◽  
Boundary Layer Turbulence ◽  
Askervein Hill ◽  
Neutral Conditions

Modeling atmosperic boundary layer with standard linear models does not sufficiently reproduce wind conditions in complex terrain, especially on leeward sides of terrain slopes. More complex models, based on Reynolds averaged Navier-Stokes equations and two-equation k-? turbulence models for neutral conditions in atmospheric boundary layer, written in general curvilinear non-orthogonal co-ordinate system, have been evaluated. In order to quantify the differences and level of accuracy of different turbulence models, investigation has been performed using standard k-? model without additional production terms and k-? turbulence models with modified set of model coefficients. The sets of full conservation equations are numerically solved by computational fluid dynamics technique. Numerical calculations of turbulence models are compared to the reference experimental data of Askervein hill measurements.

Observational analysis of thermally-driven topographic flows and their turbulence-waves interaction

2020 ◽  
Author(s):  
Carlos Yagüe ◽  
Carlos Román-Cascón ◽  
Marie Lothon ◽  
Fabienne Lohou ◽  
Jon Ander Arrillaga ◽  
...  
Keyword(s):  
Boundary Layer ◽  
Atmospheric Boundary Layer ◽  
Gravity Waves ◽  
Sonic Anemometer ◽  
Extended Period ◽  
Chem Phys ◽  
Small Scale ◽  
Mixing Ratios ◽  
Synoptic Conditions ◽  
Thermally Driven

<p>Thermally-driven flows (TDFs) are mesoscale circulations driven by horizontal thermal contrasts in scales ranging from 1 and 100-200 km. The presence of mountains can generate a kind of these TDFs called thermally-driven topographic flows, with a typical daily cycle which is observed when weak synoptic conditions are present. These flows impact the turbulence features in the Atmospheric Boundary Layer (ABL), as well as different scalars (temperature, CO<sub>2</sub>, water vapor, pollutants, etc.). Moreover, these circulations, which can be of different scales (from small-scale shallow drainage flows to for example the larger Mountain – Plain flows) can generate gravity waves (GWs) along the transition to the stable boundary layer (SBL) and during the night. In this work, 88 days belonging to an extended period of the BLLAST field campaign<sup>[1]</sup> have been analysed. The corresponding nocturnal TDFs have been detected through a systematic and objective algorithm which considers both synoptic and local meteorological conditions. The main objectives of the study are: to characterize the TDFs at CRA (which is placed on a plateau near the Pyrenees in France); to evaluate the performance of the objective algorithm<sup>[2]</sup> in obtaining the events of interest; to establish different categories of TDFs and search for driving mechanisms (local, synoptic,..); and finally to explore the connections between TDFs and the generation of Gravity Waves (GWs), often observed in the nocturnal SBL<sup>[3]</sup>. Their interaction with turbulence is also analysed using different multiscale techniques, such as wavelets applied to pressure measurements obtained from high accurate microbarometers, and MultiResolution Flux Decomposition –MRFD- applied to sonic anemometer data. The contribution of different scales to turbulent parameters will be deeply evaluated and related to the arrival of TDFs and to the presence of GWs.</p><p> </p><p>[1] Lothon, M., Lohou, F. et al (2014): The BLLAST field experiment: Boundary-Layer Late Afternoon and Sunset Turbulence. <em>Atmos. Chem. Phys.</em>, <strong>14,</strong> 10931-10960.</p><p> [2] Román-Cascón, C., Yagüe, C., Arrillaga, J.A., Lothon, M., Pardyjak, E,R., Lohou, F., Inclán, R.M., Sastre, M., Maqueda, G., Derrien, S., Meyerfeld, Y., Hang, C., Campargue-Rodríguez, P. & Turki, I. (2019): Comparing mountain breezes and their impacts on CO2 mixing ratios at three contrasting areas. <em>Atmos. Res.</em>, <strong>221,</strong> 111-126.</p><p>[3] Sun, J., Nappo, C.J., Mahrt, L., Belusic, D., Grisogono, B., Stauffer, D.R., Pulido, M., Staquet, C., Jiang, Q., Pouquet, A., Yagüe, C. Galperin, B., Smith, R.B., Finnigan, J.J., Mayor, S.D., Svensson, G., Grachev, A.A. & Neff., W.D.: (2015): Review of wave-turbulence interactions in the stable atmospheric boundary layer, <em>Rev. Geophys.</em>, <strong>53,</strong> 956–993.</p>

Wind Direction Dependence of Atmospheric Boundary Layer Turbulence Parameters in the Urban Roughness Sublayer

2007 ◽  
Vol 46 (12) ◽  
pp. 2086-2097 ◽  
Author(s):  
Cheryl Klipp
Keyword(s):  
Boundary Layer ◽  
Atmospheric Boundary Layer ◽  
Wind Direction ◽  
Surface Characteristics ◽  
Quadrant Analysis ◽  
Boundary Layer Turbulence ◽  
Urban Roughness Sublayer ◽  
Urban Roughness ◽  
Direction Dependence ◽  
Turbulence Parameters

Abstract A variety of atmospheric boundary layer parameters are examined as a function of wind direction in both urban and suburban settings in Oklahoma City, Oklahoma, derived from measurements during the Joint Urban 2003 field campaign. Heterogeneous surface characteristics result in significant differences in upwind fetch and, therefore, statistically significant differences in measured values, even for small changes in wind direction. Taller upwind obstructions yield larger measured values of drag coefficient and turbulence intensity than do shorter upwind obstructions regardless of whether the obstruction is a building or a tree. The fraction of turbulent kinetic energy going into streamwise, cross-stream, and vertical variances differs depending on the upwind fetch, and reduced cross-stream values may indicate locations of persistent wind stream convergence. In addition, a quadrant analysis of burst/sweep behavior near the surface is examined as a function of wind direction in urban and suburban environments.

Detection of the Dynamical Nonstationarity in Atmospheric Boundary Layer Turbulence

2005 ◽  
Vol 48 (3) ◽  
pp. 546-554 ◽  
Author(s):  
Min LI ◽  
Wei-Mei JIANG ◽  
Xin LI ◽  
Yi-Fen PU
Keyword(s):  
Boundary Layer ◽  
Atmospheric Boundary Layer ◽  
Boundary Layer Turbulence

Effects of Swell Waves on Atmospheric Boundary Layer Turbulence: A Low Wind Field Study

2019 ◽  
Vol 124 (8) ◽  
pp. 5671-5685 ◽  
Author(s):  
Zhongshui Zou ◽  
Jinbao Song ◽  
Peiliang Li ◽  
Jian Huang ◽  
Jun A. Zhang ◽  
...  
Keyword(s):  
Boundary Layer ◽  
Atmospheric Boundary Layer ◽  
Field Study ◽  
Wind Field ◽  
Boundary Layer Turbulence
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