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.

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Interactive discussion

Status: closed

Comment types: AC – author | RC – referee | CC – community | EC – editor | CEC – chief editor | : Report abuse
  • RC1: 'Comment on egusphere-2022-356', Anonymous Referee #1, 22 Jul 2022
    • AC1: 'Reply on RC1', Y. Tang, 01 Sep 2022
  • RC2: 'Comment on egusphere-2022-356', Anonymous Referee #2, 25 Jul 2022
    • AC2: 'Reply on RC2', Y. Tang, 01 Sep 2022
  • EC1: 'Comment on egusphere-2022-356', Jason Williams, 12 Aug 2022
    • AC3: 'Reply on EC1', Y. Tang, 01 Sep 2022

Peer review completion

AR: Author's response | RR: Referee report | ED: Editor decision
AR by Y. Tang on behalf of the Authors (01 Sep 2022)  Author's response    Author's tracked changes    Manuscript
ED: Referee Nomination & Report Request started (09 Sep 2022) by Jason Williams
RR by Anonymous Referee #3 (19 Sep 2022)
RR by Anonymous Referee #1 (20 Sep 2022)
ED: Publish subject to minor revisions (review by editor) (20 Sep 2022) by Jason Williams
AR by Y. Tang on behalf of the Authors (28 Sep 2022)  Author's response    Author's tracked changes    Manuscript
ED: Publish as is (10 Oct 2022) by Jason Williams

Post-review adjustments

AA: Author's adjustment | EA: Editor approval
AA by Y. Tang on behalf of the Authors (26 Oct 2022)   Author's adjustment   Manuscript
EA: Adjustments approved (02 Nov 2022) by Jason Williams
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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.