although well-recognized within the photochemical modelling community, the effect of uncertainties in meteorological input on the urban airshed model (UAM) output has not been systematically evaluated. In this study, the UAM has been applied to investigate the sensitivity of ozone predictions to the choices in wind fields and mixing height profiles for the data-sparse New York metropolitan area.JRC.(EI)-Environment Institut
This study evaluates air quality model sensitivity to input and to model components. Simulations are...
Most of the air quality modelling work has been so far oriented towards deterministic simulations of...
Land use and pollutant emission changes can have significant impacts on air quality, regional climat...
Almraet--Although wcll-rccngnized within the photochemical modeling community, the effect of uncer-t...
The Urban Airshed Model (UAM) is used to evaluate emission control strategies for achieving the ozon...
This study explores the sensitivity of ozone predictions from photochemical grid point simulations t...
(UAM) to demonstrate that proposed emissions control strategies will result in attainment of the Nat...
The 1992 Atlanta Field Intensive of the Southern Oxidants Research Program on Ozone Non-Attainment (...
Urban canopy models (UCMs) are parametrization schemes that are used to improve weather forecasts in...
Mixing height strongly influences the Urban Airshed Model\u27s (UAM-IV) prediction of tropospheric o...
While previous research helped to identify and prioritize the sources of error in air-quality modeli...
A practical methodology for quantifying uncertainties in air quality model predictions was developed...
An operational air quality forecasting model system has been developed and provides daily forecasts ...
Urban canopy models are essential tools for forecasting weather and air quality in cities. However, ...
Urban canopy models (UCMs) are parametrization schemes that are used to improve weather forecasts in...
This study evaluates air quality model sensitivity to input and to model components. Simulations are...
Most of the air quality modelling work has been so far oriented towards deterministic simulations of...
Land use and pollutant emission changes can have significant impacts on air quality, regional climat...
Almraet--Although wcll-rccngnized within the photochemical modeling community, the effect of uncer-t...
The Urban Airshed Model (UAM) is used to evaluate emission control strategies for achieving the ozon...
This study explores the sensitivity of ozone predictions from photochemical grid point simulations t...
(UAM) to demonstrate that proposed emissions control strategies will result in attainment of the Nat...
The 1992 Atlanta Field Intensive of the Southern Oxidants Research Program on Ozone Non-Attainment (...
Urban canopy models (UCMs) are parametrization schemes that are used to improve weather forecasts in...
Mixing height strongly influences the Urban Airshed Model\u27s (UAM-IV) prediction of tropospheric o...
While previous research helped to identify and prioritize the sources of error in air-quality modeli...
A practical methodology for quantifying uncertainties in air quality model predictions was developed...
An operational air quality forecasting model system has been developed and provides daily forecasts ...
Urban canopy models are essential tools for forecasting weather and air quality in cities. However, ...
Urban canopy models (UCMs) are parametrization schemes that are used to improve weather forecasts in...
This study evaluates air quality model sensitivity to input and to model components. Simulations are...
Most of the air quality modelling work has been so far oriented towards deterministic simulations of...
Land use and pollutant emission changes can have significant impacts on air quality, regional climat...