Articles | Volume 19, issue 6
https://doi.org/10.5194/gmd-19-2479-2026
© Author(s) 2026. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/gmd-19-2479-2026
© Author(s) 2026. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Development and technical paper
| 
27 Mar 2026
Development and technical paper |
| 27 Mar 2026
| 27 Mar 2026
PM2.5 assimilation within JEDI for NOAA's regional Air Quality Model (AQMv7): application to the September 2020 Western US wildfires
Hongli Wang
CORRESPONDING AUTHOR
Cooperative Institute for Research in Environmental Sciences, University of Colorado, Boulder, CO 80305, USA
NOAA Global Systems Laboratory, Boulder, CO 80305, USA
Cory Martin
NOAA/NWS/NCEP/EMC, College Park, MD 20740, USA
Jérôme Barré
NASA Global Modeling and Assimilation Office, Greenbelt, MD 20771, USA
Morgan State University, Baltimore, MD 21251, USA
Ruifang Li
Cooperative Institute for Research in Environmental Sciences, University of Colorado, Boulder, CO 80305, USA
NOAA Global Systems Laboratory, Boulder, CO 80305, USA
Steve Weygandt
NOAA Global Systems Laboratory, Boulder, CO 80305, USA
Jianping Huang
NOAA/NWS/NCEP/EMC, College Park, MD 20740, USA
Youhua Tang
Center for Spatial Information Science and Systems, George Mason University, Fairfax, VA 22030, USA
NOAA Air Resources Laboratory (ARL), College Park, MD 20740, USA
Hyundeok Choi
SAIC@NOAA/NWS/NCEP/EMC, College Park, MD 20740, USA
NOAA/NWS/NCEP/EMC, College Park, MD 20740, USA
Andrew Tangborn
SAIC@NOAA/NWS/NCEP/EMC, College Park, MD 20740, USA
NOAA/NWS/NCEP/EMC, College Park, MD 20740, USA
Kai Wang
LINKER@NOAA/NWS/NCEP/EMC, College Park, MD 20740, USA
NOAA/NWS/NCEP/EMC, College Park, MD 20740, USA
Haixia Liu
LINKER@NOAA/NWS/NCEP/EMC, College Park, MD 20740, USA
NOAA/NWS/NCEP/EMC, College Park, MD 20740, USA
Jeffrey Lee
School of Meteorology, University of Oklahoma, Norman, OK 73072, USA
Short summary
This paper describes efforts to develop aerosol data assimilation capabilities for NOAA’s regional air quality modeling system by assimilating PM2.5 observations within the Joint Effort for Data Assimilation Integration framework. Results from the September 2020 Western U.S. wildfires show that assimilating AirNow and/or PurpleAir PM2.5 data reduces mean absolute errors of 1–24 h PM2.5 forecasts over the continental United States on average relative to a control without data assimilation.
This paper describes efforts to develop aerosol data assimilation capabilities for NOAA’s...
