ATMOSPHERIC MODELING
FRONTIER RESEARCH Analysis and Modeling of Air Pollution SINCE
1997
HKUST has comprehensive expertise and experience in the full range of atmospheric models at different spatial scales, including weather prediction models MM5/WRF, air quality model CMAQ , diagnostic model CALMET, street-canynon traffic dispersion model ADMS and computational fluid dynamics model FLUENT. These models are needed for better characterization and understanding of the multiscale interactions amongst different atmospheric processes. With these models, we have established the first university-based real-time numerical weather prediction system in Asia in 1997, the Air Pollution Index (API) forecast system for the Environmental Protection Department in 1999, and a high-resolution wind energy resource altas for Hong Kong in 2005.
RESEARCH
FINDINGS / SIGNIFICANCE
Numerical Weather Prediction (NWP) Model at HKUST
Asia first real-time atmospheric model operating in university level.
1998
Air Pollution Index (API) Forecast Model With HKEPD
2000
Air quality model - Community Multiscale Air Quality (CMAQ) and Computer Aided Manufacturing using XML (CAMX) - in service to provide atmospheric modelling outputs at different spatial scales
IENV's API Foreast System provides short-range numerical Weather Prediction (NWP) forecast from the Fifth generation PSU/NCAR mesoscale model (MM5) is used to provide quantitative information about changes in weather patterns. This information is used to predict short-term changes in API associated with changing weather events. With the substantial advances in the overall forecast skill of the NWP systems over during the past few years, we realized that incorporation of quantitative NWP forecasts in the prediction of API can improve the overall accuracy of API forecasts. A fuzzy logic algorithm was designed into the system to allow it to adapt and enhance itself with additional data and in changing environments.
© 2018 Institute for the Environment, HKUST
MILESTONES & POLICY IMPLICATIONS for HONG KONG