@inbook{df58549039514c10911fe72f0bd5bba2,
title = "The performance and issues of a regional chemical transport model during discover-AQ 2014 aircraft measurements over Colorado",
abstract = "The National Oceanic and Atmospheric Administration (NOAA) National Centers for Environmental Prediction operates the U.S. Air Quality Forecasting Capability (NAQFC) which uses primarily the U.S Environmental Protection Agency{\textquoteright}s Community Multi-Scale Air Quality (CMAQ) model. NAQFC focuses on surface ozone and PM2.5 (particle matter with diameter <2.5 µm), which impacts human-health. Near surface ozone mainly comes from photochemical reactions of NOx and volatile organic compounds (VOCs). Its sources in upper layers could come from either long-range transport or stratospheric ozone. Most PM2.5 comes from near-surface primary emissions or secondary generation from photochemical reactions. During the summer 2014 NASA Discover-AQ-Colorado program, the NOAA Air Resources Laboratory (ARL) provided a real-time forecast in support of aircraft measurements with 12 km CONUS (Contiguous United States) and 4 km nested domains. Here we compare the model results with the aircraft data to investigate our predictions.",
keywords = "Aircraft measurement, Emission inventory, Global forecast system, Lateral boundary condition, Surface ozone",
author = "Youhua Tang and Li Pan and Pius Lee and Daniel Tong and Kim, \{Hyun Cheol\} and Jun Wang and Sarah Lu",
note = "Publisher Copyright: {\textcopyright} Springer International Publishing Switzerland 2016.",
year = "2016",
doi = "10.1007/978-3-319-24478-5\_103",
language = "English",
series = "Springer Proceedings in Complexity",
publisher = "Springer",
pages = "635--640",
booktitle = "Springer Proceedings in Complexity",
address = "Germany",
}