Articles | Volume 17, issue 6
https://doi.org/10.5194/gmd-17-2471-2024
© Author(s) 2024. This work is distributed under
the Creative Commons Attribution 4.0 License.Intercomparison of multiple two-way coupled meteorology and air quality models (WRF v4.1.1–CMAQ v5.3.1, WRF–Chem v4.1.1, and WRF v3.7.1–CHIMERE v2020r1) in eastern China
Download
- Final revised paper (published on 02 Apr 2024)
- Supplement to the final revised paper
- Preprint (discussion started on 27 Mar 2023)
- Supplement to the preprint
Interactive discussion
Status: closed
Comment types: AC – author | RC – referee | CC – community | EC – editor | CEC – chief editor
| : Report abuse
-
RC1: 'Comment on gmd-2023-21', Anonymous Referee #1, 26 Apr 2023
- AC2: 'Reply on RC1', Chao Gao, 11 Jul 2023
-
CEC1: 'Comment on gmd-2023-21', Juan Antonio Añel, 05 May 2023
- AC1: 'Reply on CEC1', Chao Gao, 23 May 2023
-
RC2: 'Comment on gmd-2023-21', Anonymous Referee #2, 05 May 2023
- AC3: 'Reply on RC2', Chao Gao, 11 Jul 2023
Peer review completion
AR: Author's response | RR: Referee report | ED: Editor decision | EF: Editorial file upload
AR by Chao Gao on behalf of the Authors (11 Jul 2023)
Author's response
Author's tracked changes
Manuscript
ED: Referee Nomination & Report Request started (05 Aug 2023) by Xiaohong Liu
RR by Anonymous Referee #2 (16 Jan 2024)

ED: Publish subject to minor revisions (review by editor) (21 Jan 2024) by Xiaohong Liu

AR by Chao Gao on behalf of the Authors (27 Jan 2024)
Author's response
Author's tracked changes
Manuscript
ED: Publish as is (15 Feb 2024) by Xiaohong Liu
AR by Chao Gao on behalf of the Authors (15 Feb 2024)
Author's response
Manuscript
Review of “Inter-comparison of multiple two-way coupled meteorology and air quality models (WRF v4.1.1-CMAQ v5.3.1, WRF-Chem v4.1.1, and WRF v3.7.1-CHIMERE v2020r1) in eastern China,” by Gao et al., submitted to Geoscientific Model Development.
This paper intercompares several two-way nested coupled meteorological and air quality models in eastern China. This is the first such comparison that I am aware of. The paper is thorough and should be published following some modest revisions.
Introduction. “The feedbacks of aerosols to meteorology have been widely investigated by two-way coupled meteorology and air quality models in the past two decades.” Two-way coupled meteorological and air quality models have been developed and applied for almost three decades (Jacobson, 1994; 1997; 1998, 2001).
Table 1. what is the vertical resolution of the boundary layer in each model (how many layers in the bottom 1 km and what is the bottom-layer thickness?
Table 1. How many aerosol size bins and components per bin? Do you use a modal or discrete bin approach?
Table 1. Does photolysis account for clouds? How are clouds treated for radiative transfer calculations?
Table 1. What height is the model top and how are model-top boundary conditions treated?
The authors evaluate with RMSE, which is an absolute quantity for each variable. However, normalized gross error (absolute value of differences between model and data, divided by data, summed over all locations and normalized by the number of locations, is a more useful metric since it gives error relative to the data values rather than an absolute amount. It is similar to NMB, but with absolute values taken, since NMB cancels out large errors of the opposite sign. Also, it would be useful to see some time-series plots of model results versus data.
A lot of comparisons are performed, but what are the most relevant comparisons with data? Ozone and PM2.5 calculations? Please focus the discussion of results more. Right now the results section is crammed with lots of information that is not easy to determine from what is important and not important.
References.
Jacobson, M. Z., Developing, coupling, and applying a gas, aerosol, transport, and radiation model to study urban and regional air pollution. Ph. D. Thesis, Dept. of Atmospheric Sciences, University of California, Los Angeles, 436 pp., 1994.
Jacobson, M. Z., Development and application of a new air pollution modeling system. Part III: Aerosol-phase simulations, Atmos. Environ., 31A, 587–608, 1997.
Jacobson, M. Z., Studying the effects of aerosols on vertical photolysis rate coefficient and temperature profiles over an urban airshed, J. Geophys. Res., 103, 10,593-10,604, 1998.
Jacobson, M. Z., GATOR-GCMM: A global through urban scale air pollution and weather forecast model. 1. Model design and treatment of subgrid soil, vegetation, roads, rooftops, water, sea ice, and snow, J. Geophys. Res., 106, 5385-5401, 2001.