Articles | Volume 10, issue 12
https://doi.org/10.5194/gmd-10-4743-2017
© Author(s) 2017. 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-10-4743-2017
© Author(s) 2017. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Development and technical paper
| 
22 Dec 2017
Development and technical paper |
| 22 Dec 2017
| 22 Dec 2017
A case study of aerosol data assimilation with the Community Multi-scale Air Quality Model over the contiguous United States using 3D-Var and optimal interpolation methods
NOAA Air Resources Laboratory, College Park, MD, USA
Cooperative Institute for Climate and Satellites, University of Maryland, College Park, MD, USA
Mariusz Pagowski
NOAA Earth System Research Laboratory, Boulder, CO, USA
Cooperative Institute for Research in Environmental Sciences, University of Colorado, Boulder, CO, USA
Tianfeng Chai
NOAA Air Resources Laboratory, College Park, MD, USA
Cooperative Institute for Climate and Satellites, University of Maryland, College Park, MD, USA
NOAA Air Resources Laboratory, College Park, MD, USA
Cooperative Institute for Climate and Satellites, University of Maryland, College Park, MD, USA
Pius Lee
NOAA Air Resources Laboratory, College Park, MD, USA
Barry Baker
NOAA Air Resources Laboratory, College Park, MD, USA
Cooperative Institute for Climate and Satellites, University of Maryland, College Park, MD, USA
Rajesh Kumar
National Center for Atmospheric Research, Boulder, CO, USA
Luca Delle Monache
National Center for Atmospheric Research, Boulder, CO, USA
Daniel Tong
NOAA Air Resources Laboratory, College Park, MD, USA
Cooperative Institute for Climate and Satellites, University of Maryland, College Park, MD, USA
Center for Spatial Information Science and Systems, George Mason University, Fairfax, VA, USA
Hyun-Cheol Kim
NOAA Air Resources Laboratory, College Park, MD, USA
Cooperative Institute for Climate and Satellites, University of Maryland, College Park, MD, USA
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Saved (final revised paper)
Latest update: 19 Jul 2026
Short summary
In order to evaluate the data assimilation tools for regional real-time PM2.5 forecasts, we applied a 3D-Var assimilation tool to adjust the aerosol initial condition by assimilating satellite-retrieved aerosol optical depth and surface PM2.5 observations for a regional air quality model, which is compared to another assimilation method, optimal interpolation. We discuss the pros and cons of these two assimilation methods based on the comparison of their 1-month four-cycles-per-day runs.
In order to evaluate the data assimilation tools for regional real-time PM2.5 forecasts, we...
