Urban canopy models are essential tools for forecasting weather and air quality in cities. However, they require many surface parameters, which are uncertain and can reduce model performance if inappropriately prescribed. Here, we evaluate the model sensitivity of the single-layer urban canopy model (SLUCM) in the Weather Research and Forecasting (WRF) model to surface parameters in two different configurations, one coupled to the overlying atmosphere (on-line) in a 1D configuration and one without coupling (off-line). A two-day summertime period in London is used as a case study, with clear skies and low wind speeds. Our sensitivity tests indicate that the SLUCM reacts differently when coupled to the atmosphere. For certain surface paramet...
Abstract Urban land surface processes need to be represented to inform future urban climate and buil...
Urban areas have well-documented effects on climate, such as the urban heat island (UHI) effect, red...
Urban areas are vulnerable to intensive heatwave periods. In order to understand heat stress in citi...
Urban canopy models are essential tools for forecasting weather and air quality in cities. However, ...
Urban canopy models are essential tools in forecasting weather and air quality in cities. However, t...
Urban canopy models (UCMs) are parametrization schemes that are used to improve weather forecasts in...
The surface energy balance is different over cities compared to the surrounding rural areas due to d...
Urban canopy models (UCMs) are parametrization schemes that are used to improve weather forecasts in...
Cities are characterized by different physical properties of surface compared to their rural counte...
International audienceFor the purpose of qualifying and quantifying the climate impact of cities and...
The parameterization of surface heat-flux variability in urban areas relies on adequate representati...
This thesis explores the meteorology in an urban area during a winter period and how well a numerica...
Mesoscale modeling of the urban boundary layer requires careful parameterization of the surface due ...
although well-recognized within the photochemical modelling community, the effect of uncertainties i...
Accurately predicting weather and climate in cities is critical for safeguarding human health and st...
Abstract Urban land surface processes need to be represented to inform future urban climate and buil...
Urban areas have well-documented effects on climate, such as the urban heat island (UHI) effect, red...
Urban areas are vulnerable to intensive heatwave periods. In order to understand heat stress in citi...
Urban canopy models are essential tools for forecasting weather and air quality in cities. However, ...
Urban canopy models are essential tools in forecasting weather and air quality in cities. However, t...
Urban canopy models (UCMs) are parametrization schemes that are used to improve weather forecasts in...
The surface energy balance is different over cities compared to the surrounding rural areas due to d...
Urban canopy models (UCMs) are parametrization schemes that are used to improve weather forecasts in...
Cities are characterized by different physical properties of surface compared to their rural counte...
International audienceFor the purpose of qualifying and quantifying the climate impact of cities and...
The parameterization of surface heat-flux variability in urban areas relies on adequate representati...
This thesis explores the meteorology in an urban area during a winter period and how well a numerica...
Mesoscale modeling of the urban boundary layer requires careful parameterization of the surface due ...
although well-recognized within the photochemical modelling community, the effect of uncertainties i...
Accurately predicting weather and climate in cities is critical for safeguarding human health and st...
Abstract Urban land surface processes need to be represented to inform future urban climate and buil...
Urban areas have well-documented effects on climate, such as the urban heat island (UHI) effect, red...
Urban areas are vulnerable to intensive heatwave periods. In order to understand heat stress in citi...