Dataset contains links to publicly available data: the CMAQ github repository, 2019 FIREX-AQ simulation output from previous work, CMAQ official versions from zenodo, and the CMAQ 2019 inputs used in previous work. This data supports the following work: Farzad, K., Zhang, Y., Tong, D., Ma, S., Tang, Y., Huang, J., et al. (2026). Application and evaluation of a NOAA GFS-driven air quality model using CMAQv5.4 and high-resolution emissions: FIREX-AQ 2019. Journal of Geophysical Research: Atmospheres, 131, e2025JD045668. https://doi.org/10.1029/2025JD045668. This dataset is associated with the following publication: Farzad, K., Y. Zhang, D. Tong, S. Ma, Y. Tang, J. Huang, P. Campbell, H. Pye, B. Murphy, F. Yang, B. Baker, D. Kang, B. Hutzell, and G. Sarwar. Application and Evaluation of a NOAA GFS-Driven Air Quality Model Using CMAQv5.4 and High-Resolution Emissions: FIREX-AQ 2019. JOURNAL OF GEOPHYSICAL RESEARCH: ATMOSPHERES. American Geophysical Union, Washington, DC, USA, 131(9): e2025JD045668, (2026).
Data supporting Application and Evaluation of a NOAA GFS-Driven Air Quality Model using CMAQv5.4 and High-Resolution Emissions: FIREX-AQ 2019 (v1)
L o a d i n g
Organization
United State Environmental Protection Agency - view all
Update frequencyunknown
Last updated3 weeks ago
OverviewCMAQFIREX-AQOzoneWildland Fireforecastpm2.5
Additional Information
KeyValue
Dcat Modified2025-10-14
Dcat Publisher NameU.S. Environmental Protection Agency
Guidhttps://doi.org/10.23719/d-nvxr
Harvest Object Idacffa527-83a6-4df7-8967-7f03442c0813
Harvest Source Idb8e63f83-bbb9-45d3-a3de-09607cc9ff8a
Harvest Source TitleUSEPA Environmental Dataset Gateway
