Krieger, J.R., Zhang, J., Atkinson, D.E., Shulski, M.D. and Zhang, X. (2009) Sensitivity of WRF Model Forecasts to Different Physical Parameterizations in the Beaufort Sea Region. 8th Conference on Coastal Atmospheric and Oceanic Prediction and Processes, San Diego, 10 January 2009.

has been cited by the following article:

• TITLE: Evaluating Sensitivity to Different Options and Parameterizations of a Coupled Air Quality Modelling System over Bogotá, Colombia. Part I: WRF Model Configuration

  AUTHORS: Beatriz Reboredo, Raúl Arasa, Bernat Codina

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

  JOURNAL NAME: Open Journal of Air Pollution, Vol.4 No.2, April 15, 2015

  ABSTRACT: 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.