Geoscientific Model Development
Geoscientific Model Development
GMD
Articles | Volume 15, issue 4
Articles | Volume 15, issue 4
https://doi.org/10.5194/gmd-15-1769-2022
© Author(s) 2022. This work is distributed under
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/gmd-15-1769-2022
© Author(s) 2022. This work is distributed under
the Creative Commons Attribution 4.0 License.
Articles | Volume 15, issue 4
Development and technical paper
 | 
02 Mar 2022
Development and technical paper |  | 02 Mar 2022

Implementation of aerosol data assimilation in WRFDA (v4.0.3) for WRF-Chem (v3.9.1) using the RACM/MADE-VBS scheme

Soyoung Ha

Data sets

NCEP ADP Global Upper Air and Surface Weather Observations (PREPBUFR format), Research Data Archive at the National Center for Atmospheric Research National Centers for Environmental Prediction, National Weather Service, NOAA, and U.S. Department of Commerce https://doi.org/10.5065/Z83F-N512

Model code and software

WRFDA V3.9.1 modified for WRF-Chem with the RACM-MADE-VBS parameterization Soyoung Ha https://doi.org/10.5281/zenodo.4594671

WRF source codes and graphics software downloads National Center for Atmospheric Research (NCAR) https://www2.mmm.ucar.edu/wrf/users/download/get_source.html

WRF-Chem preprocessor ACOM/NCAR https://www.acom.ucar.edu/wrf-chem/download.shtml

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Short summary
In an effort to improve air quality forecasting, the WRFDA 3D-Var system is newly extended for the assimilation of surface PM2.5 and PM10 using the RACM/MADE-VBS chemistry in the WRF-Chem model. Through a case study during the Korea–United States Air Quality (KORUS-AQ) period, it is demonstrated that the analysis can lead to improving the prediction of surface PM concentrations up to 26 % for 24 h, diminishing most bias errors.
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