Laura S Leo
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Papers by Laura S Leo
variability is smaller. It is found that the vertical (normal to the slope) momentum flux and horizontal (along the slope) heat flux in a slope-following coordinate system change their sign below and above the wind maximum of a katabatic flow. The vertical momentum flux is directed downward (upward)
whereas the horizontal heat flux is downslope (upslope) below (above) the wind maximum. Our study therefore suggests that the position of the jet-speed maximum can be obtained by linear interpolation between positive and negative values of the momentum flux (or the horizontal heat flux) to derive the height where flux becomes zero. It is shown that the standard deviations of all wind speed components (therefore the turbulent kinetic energy) and the dissipation rate of turbulent kinetic energy have a local minimum, whereas the standard
deviation of air temperature has an absolute maximum at the height of wind-speed maximum. We report several cases where the vertical and horizontal heat fluxes are compensated. Turbulence above the wind-speed maximum is decoupled from the surface, and follows the classical local z-less predictions for stably stratified boundary layer.
The coupling of global, mesoscale, and micro-scale models has allowed for dynamical downscaling from global to regional to city and finally to neighborhood scales. The output of the Community Climate System Model (CCSM5), a general circulation model (GCM), provides future climate scenario, and its coupling with Weather Research and Forecasting (WRF) model enables studies on mesoscale behavior at urban scales. The output from the WRF model at 0.333 km resolution is used to drive a micro-scale model, ENVI-met. Through this coupling the bane of obtaining reliable initial and boundary conditions for the micro-scale model from limited available observational records has been aptly remedied. It was found that the performance of ENVI-met improves when WRF output, rather than observational data, is supplied for initial conditions. The success of the downscaling procedure allowed reasonable application of micro-scale model to future climate scenario provided by CCSM5 and WRF models. The fine (2 m) resolution of ENVI-met enables the study of two key effects of UHI at micro-scale: decreased pedestrian comfort and increased building-scale energy consumption. ENVI-met model’s explicit treatment of key processes that underpin urban microclimate makes it captivating for pedestrian comfort analysis. Building energy, however, is not modeled by ENVI-met so we have developed a simplified building energy model to estimate future cooling needs.
Prediction and Climate models. Existing parameterizations cannot adequately capture the depth of the Planetary
Boundary Layer (PBL), low-level jets and nocturnal near surface temperature because of their poor representation of
turbulent fluxes, especially in mountainous terrain. In addition, small scale processes such as collisions between
katabatic and valley flows which produce intense mixing, strong vertical velocities and a rapid drop in temperature
are distributed in space and time and are unable to be captured. These interactions between flows of different scales,
in general, can contribute significantly to sub-grid, short-lived, intense turbulence events, spasmodically producing
high fluxes over short periods. Such vigorous mixing episodes need to be included in meso-scale models in order to
improve their performance, especially in dealing with near surface flows.
High-resolution numerical calculations were performed using the Weather Research and Forecasting (WRF) model to
test its ability to predict mountain weather. Data from two comprehensive field experiments conducted under the
aegis of Mountain Terrain Atmospheric Modelling and Observations (MATERHORN) Program
(www.nd.edu/~dynamics/materhorn) were used in this study. Different PBL options available in the WRF model
were tested and evaluated for stable conditions. The Yonsei University (YSU) PBL scheme was modified and
implemented in WRF. The performance of the modified and original YSU scheme, were compared. Preliminary
results show that the modified version is more capable of predicting the velocity of the observed low-level jet, which
was consistently over-predicted by the original version.
Further data processing and analysis is under way. The objective is to develop better parameterizations for turbulent
fluxes in the complex terrain leading to improved predictability of local scale air flow. This work is a contribution in
this direction and numerous applications follow from this research including air quality modelling and aviation
A comparison with previous investigations shows that street-level concentrations crucially depend on the wind direction and street canyon aspect ratio W/H (with W and H the width and the height of buildings, respectively) rather than on tree crown porosity and stand density. It is usually assumed in the literature that larger concentrations are associated with perpendicular approaching wind. In this study, we demonstrate that while for tree-free street canyons under inclined wind directions the larger the aspect ratio the lower the street-level concentration, in presence of trees the expected reduction of street-level concentration with aspect ratio is less pronounced.
Observations made for the idealized street canyons are re-interpreted in real case scenario focusing on the neighbourhood scale in proximity of a complex urban junction formed by street canyons of similar aspect ratios as those investigated in the laboratory. The aim is to show the combined influence of building morphology and vegetation on flow and dispersion and to assess the effect of vegetation on local concentration levels. To this aim, CFD simulations for two typical winter/spring days show that trees contribute to alter the local flow and act to trap pollutants. This preliminary study indicates that failing to account for the presence of vegetation, as typically practiced in most operational dispersion models, would result in non-negligible errors in the predictions.
variability is smaller. It is found that the vertical (normal to the slope) momentum flux and horizontal (along the slope) heat flux in a slope-following coordinate system change their sign below and above the wind maximum of a katabatic flow. The vertical momentum flux is directed downward (upward)
whereas the horizontal heat flux is downslope (upslope) below (above) the wind maximum. Our study therefore suggests that the position of the jet-speed maximum can be obtained by linear interpolation between positive and negative values of the momentum flux (or the horizontal heat flux) to derive the height where flux becomes zero. It is shown that the standard deviations of all wind speed components (therefore the turbulent kinetic energy) and the dissipation rate of turbulent kinetic energy have a local minimum, whereas the standard
deviation of air temperature has an absolute maximum at the height of wind-speed maximum. We report several cases where the vertical and horizontal heat fluxes are compensated. Turbulence above the wind-speed maximum is decoupled from the surface, and follows the classical local z-less predictions for stably stratified boundary layer.
The coupling of global, mesoscale, and micro-scale models has allowed for dynamical downscaling from global to regional to city and finally to neighborhood scales. The output of the Community Climate System Model (CCSM5), a general circulation model (GCM), provides future climate scenario, and its coupling with Weather Research and Forecasting (WRF) model enables studies on mesoscale behavior at urban scales. The output from the WRF model at 0.333 km resolution is used to drive a micro-scale model, ENVI-met. Through this coupling the bane of obtaining reliable initial and boundary conditions for the micro-scale model from limited available observational records has been aptly remedied. It was found that the performance of ENVI-met improves when WRF output, rather than observational data, is supplied for initial conditions. The success of the downscaling procedure allowed reasonable application of micro-scale model to future climate scenario provided by CCSM5 and WRF models. The fine (2 m) resolution of ENVI-met enables the study of two key effects of UHI at micro-scale: decreased pedestrian comfort and increased building-scale energy consumption. ENVI-met model’s explicit treatment of key processes that underpin urban microclimate makes it captivating for pedestrian comfort analysis. Building energy, however, is not modeled by ENVI-met so we have developed a simplified building energy model to estimate future cooling needs.
Prediction and Climate models. Existing parameterizations cannot adequately capture the depth of the Planetary
Boundary Layer (PBL), low-level jets and nocturnal near surface temperature because of their poor representation of
turbulent fluxes, especially in mountainous terrain. In addition, small scale processes such as collisions between
katabatic and valley flows which produce intense mixing, strong vertical velocities and a rapid drop in temperature
are distributed in space and time and are unable to be captured. These interactions between flows of different scales,
in general, can contribute significantly to sub-grid, short-lived, intense turbulence events, spasmodically producing
high fluxes over short periods. Such vigorous mixing episodes need to be included in meso-scale models in order to
improve their performance, especially in dealing with near surface flows.
High-resolution numerical calculations were performed using the Weather Research and Forecasting (WRF) model to
test its ability to predict mountain weather. Data from two comprehensive field experiments conducted under the
aegis of Mountain Terrain Atmospheric Modelling and Observations (MATERHORN) Program
(www.nd.edu/~dynamics/materhorn) were used in this study. Different PBL options available in the WRF model
were tested and evaluated for stable conditions. The Yonsei University (YSU) PBL scheme was modified and
implemented in WRF. The performance of the modified and original YSU scheme, were compared. Preliminary
results show that the modified version is more capable of predicting the velocity of the observed low-level jet, which
was consistently over-predicted by the original version.
Further data processing and analysis is under way. The objective is to develop better parameterizations for turbulent
fluxes in the complex terrain leading to improved predictability of local scale air flow. This work is a contribution in
this direction and numerous applications follow from this research including air quality modelling and aviation
A comparison with previous investigations shows that street-level concentrations crucially depend on the wind direction and street canyon aspect ratio W/H (with W and H the width and the height of buildings, respectively) rather than on tree crown porosity and stand density. It is usually assumed in the literature that larger concentrations are associated with perpendicular approaching wind. In this study, we demonstrate that while for tree-free street canyons under inclined wind directions the larger the aspect ratio the lower the street-level concentration, in presence of trees the expected reduction of street-level concentration with aspect ratio is less pronounced.
Observations made for the idealized street canyons are re-interpreted in real case scenario focusing on the neighbourhood scale in proximity of a complex urban junction formed by street canyons of similar aspect ratios as those investigated in the laboratory. The aim is to show the combined influence of building morphology and vegetation on flow and dispersion and to assess the effect of vegetation on local concentration levels. To this aim, CFD simulations for two typical winter/spring days show that trees contribute to alter the local flow and act to trap pollutants. This preliminary study indicates that failing to account for the presence of vegetation, as typically practiced in most operational dispersion models, would result in non-negligible errors in the predictions.