Author(s)

Beatriz Reboredo¹, Raúl Arasa^1*, Bernat Codina^1,2

¹Air Quality Department, Meteosim S.L., Barcelona, Spain.
²Department of Astronomy and Meteorology, Barcelona, Spain.

Meteorological inputs are of great importance when implementing an air quality prediction system. In this contribution, the Weather Research and Forecast (WRF-ARW) model was used to compare the performance of the different cumulus, microphysics and Planet Boundary Layer parameterizations over Bogotá, Colombia. Surface observations were used for comparison and the evaluated meteorological variables include temperature, wind speed and direction and relative humidity. Differences between parameterizations were observed in meteorological variables and Betts-Miller-Janjic, Morrison 2-moment and BouLac schemes proved to be the best parameterizations for cumulus, microphysics and PBL, respectively. As a complement to this study, a WRF-Large Eddy Simulation was conducted in order to evaluate model results with finer horizontal resolution for air quality purposes.

Sensitivity Analysis, Air Quality Modelling, Meteorological Modelling, WRF, Physical Options

Reboredo, B. , Arasa, R. and Codina, B. (2015) Evaluating Sensitivity to Different Options and Parameterizations of a Coupled Air Quality Modelling System over Bogotá, Colombia. Part I: WRF Model Configuration. Open Journal of Air Pollution, 4, 47-64. doi: 10.4236/ojap.2015.42006.