The effects of thermal stratification on airborne transport within the urban roughness sublayer

2021 ◽  
pp. 122289
Author(s):  
Junjie Cai ◽  
Jingtan Chen ◽  
Haimei Cheng ◽  
Shuangfei Zi ◽  
Jinchao Xiao ◽  
...  
Keyword(s):  
Thermal Stratification ◽  
Roughness Sublayer ◽  
Urban Roughness Sublayer ◽  
Urban Roughness ◽  
Airborne Transport

scholarly journals Parametrizing Horizontally-Averaged Wind and Temperature Profiles in the Urban Roughness Sublayer

2019 ◽  
Vol 173 (3) ◽  
pp. 321-348 ◽  
Author(s):  
Natalie E. Theeuwes ◽  
Reinder J. Ronda ◽  
Ian N. Harman ◽  
Andreas Christen ◽  
C. Sue B. Grimmond
Keyword(s):  
Wind Speed ◽  
Numerical Weather Prediction ◽  
Prediction Models ◽  
Weather Prediction ◽  
Roughness Sublayer ◽  
Vertical Profiles ◽  
Flux Boundary Condition ◽  
Numerical Weather ◽  
Urban Roughness Sublayer ◽  
Urban Roughness

Abstract Tower-based measurements from within and above the urban canopy in two cities are used to evaluate several existing approaches that parametrize the vertical profiles of wind speed and temperature within the urban roughness sublayer (RSL). It is shown that current use of Monin–Obukhov similarity theory (MOST) in numerical weather prediction models can be improved upon by using RSL corrections when modelling the vertical profiles of wind speed and friction velocity in the urban RSL using MOST. Using anisotropic building morphological information improves the agreement between observed and parametrized profiles of wind speed and momentum fluxes for selected methods. The largest improvement is found when using dynamically-varying aerodynamic roughness length and displacement height. Adding a RSL correction to MOST, however, does not improve the parametrization of the vertical profiles of temperature and heat fluxes. This is expected since sources and sinks of heat are assumed uniformly distributed through a simple flux boundary condition in all RSL formulations, yet are highly patchy and anisotropic in a real urban context. Our results can be used to inform the choice of surface-layer representations for air quality, dispersion, and numerical weather prediction applications in the urban environment.

The predictability of above roof wind resource in the urban roughness sublayer

Wind Energy ◽  
2011 ◽  
Vol 15 (2) ◽  
pp. 225-243 ◽  
Author(s):  
J.T. Millward-Hopkins ◽  
A.S. Tomlin ◽  
L. Ma ◽  
D. Ingham ◽  
M. Pourkashanian
Keyword(s):  
Roughness Sublayer ◽  
Urban Roughness Sublayer ◽  
Urban Roughness ◽  
Wind Resource

The Budget of Turbulent Kinetic Energy in the Urban Roughness Sublayer

2009 ◽  
Vol 131 (2) ◽  
pp. 193-222 ◽  
Author(s):  
Andreas Christen ◽  
Mathias W. Rotach ◽  
Roland Vogt
Keyword(s):  
Kinetic Energy ◽  
Turbulent Kinetic Energy ◽  
Roughness Sublayer ◽  
Urban Roughness Sublayer ◽  
Urban Roughness
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