Addressing Scientific Challenges for Air Quality Forecasting: International Workshop on Air Quality Forecasting Research; Boulder, Colorado, 2–3 December 2009

Authors


Abstract

The past decade has seen explosive growth of emissions- based air quality (AQ) forecasting from a fledgling enterprise practiced by a few dedicated groups to a global network of daily AQ forecasts provided on local to global scales. These forecasts are used by health, environmental, and meteorological agencies in a host of AQ-related services. The provision of daily operational AQ forecasts, however, comes with challenges different from those faced by the weather forecasting or regulatory AQ modeling communities. A loosely knit group of practitioners has worked to address these scientific challenges, resulting in improvements to AQ forecast skill and reliability over time.