Pius Lee

TL;DR: In this article, the real-time forecasts of ozone (O 3 ) from seven air quality forecast models (AQFMs) are statistically evaluated against observations collected during July and August of 2004 (53 days) through the AIRNow network at roughly 340 monitoring stations throughout the eastern United States and southern Canada.

TL;DR: The primary uses of satellite data for air quality applications are reviewed, some background information on satellite capabilities for measuring pollutants are provided, the many resources available to the end-user for accessing, processing, and visualizing the data are discussed, and answers to common questions in plain language are provided.

TL;DR: The AQF system is currently based on NCEP's Eta Model and the EPA's Community Multiscale Air Quality (CMAQ) modeling system, which was implemented into operation at the National Weather Service in September of 2004, currently generates twice-daily forecasts of ground-level ozone (O3) for the northeastern United States at 12-km horizontal grid spacing as discussed by the authors.

TL;DR: The OMEGA model is the first model to exploit the adaptive nature of an unstructured gridding technique for atmospheric simulation and hence real-time hazard prediction, and a detailed comparison of OMEGA forecast results with data is provided.

TL;DR: In this paper, the authors compare multi-year NO x trends derived from satellite and ground observations and uses these data to evaluate the updates of NO x emission data by the US National Air Quality Forecast Capability (NAQFC) for next-day ozone prediction during the 2008 Global Economic Recession.