Articles | Volume 15, issue 21
Geosci. Model Dev., 15, 7977–7999, 2022
https://doi.org/10.5194/gmd-15-7977-2022
Geosci. Model Dev., 15, 7977–7999, 2022
https://doi.org/10.5194/gmd-15-7977-2022
Model evaluation paper
07 Nov 2022
Model evaluation paper | 07 Nov 2022

Evaluation of the NAQFC driven by the NOAA Global Forecast System (version 16): comparison with the WRF-CMAQ during the summer 2019 FIREX-AQ campaign

Youhua Tang et al.

Data sets

The NOAA-EPA Atmosphere-Chemistry Coupler (NACC) (v1.3.2) Patrick Campbell https://doi.org/10.5281/zenodo.5507489

Model code and software

The Advanced National Air Quality Forecast Capability (NAQFC) (v1.1.0) Patrick Campbell https://doi.org/10.5281/zenodo.5507511

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Short summary
This paper compares two meteorological datasets for driving a regional air quality model: a regional meteorological model using WRF (WRF-CMAQ) and direct interpolation from an operational global model (GFS-CMAQ). In the comparison with surface measurements and aircraft data in summer 2019, these two methods show mixed performance depending on the corresponding meteorological settings. Direct interpolation is found to be a viable method to drive air quality models.