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Geosci. Model Dev., 10, 4743-4758, 2017
https://doi.org/10.5194/gmd-10-4743-2017
© Author(s) 2017. This work is distributed under
the Creative Commons Attribution 4.0 License.
Development and technical paper
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
Youhua Tang et al.

Model code and software

Meteorological code of WRF 3.4.1 National Center for Atmospheric Research (NCAR) http://www2.mmm.ucar.edu/wrf/users/download/get_source.html CMAQ 5.1 UNC Institute for the Environment https://www.cmascenter.org/download.cfm GSI data assimilation tool Developmental Testbed Center http://www.dtcenter.org/com-GSI/users.v3.5/downloads/index.php
Publications Copernicus
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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...
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