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

Tang, Youhua; Pagowski, Mariusz; Chai, Tianfeng; Pan, Li; Lee, Pius; Baker, Barry; Kumar, Rajesh; Delle Monache, Luca; Tong, Daniel; Kim, Hyun-Cheol

doi:https://doi.org/10.5194/gmd-10-4743-2017

Articles | Volume 10, issue 12

https://doi.org/10.5194/gmd-10-4743-2017

© Author(s) 2017. This work is distributed under
the Creative Commons Attribution 4.0 License.

https://doi.org/10.5194/gmd-10-4743-2017

© Author(s) 2017. This work is distributed under
the Creative Commons Attribution 4.0 License.

Articles | Volume 10, issue 12

Development and technical paper

|

22 Dec 2017

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, Mariusz Pagowski, Tianfeng Chai, Li Pan, Pius Lee, Barry Baker, Rajesh Kumar, Luca Delle Monache, Daniel Tong, and Hyun-Cheol Kim

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Final revised paper (published on 22 Dec 2017)
Preprint (discussion started on 11 Jul 2017)

Interactive discussion

Status: closed

AC: Author comment | RC: Referee comment | SC: Short comment | EC: Editor comment

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RC1: 'Need further clarification before moving into a more thorough review', Anonymous Referee #1, 12 Jul 2017
- SC1: 'Thank you for your questions', Y. Tang, 12 Jul 2017
  - RC3: 'After further reading', Anonymous Referee #1, 22 Aug 2017
    - AC1: 'Thank you for your comments', Y. Tang, 02 Oct 2017
RC2: 'Interesting results which are nicely presented but more description required.', Anonymous Referee #2, 16 Aug 2017
- AC2: 'Thanks for your comments', Y. Tang, 02 Oct 2017
RC4: 'Interesting work but the quality of the paper needs improvements', Anonymous Referee #3, 23 Aug 2017
- AC3: 'Thank you for your comments', Y. Tang, 02 Oct 2017

Peer-review completion

AR: Author's response | RR: Referee report | ED: Editor decision

AR by Y. Tang on behalf of the Authors (03 Oct 2017) Manuscript

ED: Publish as is (17 Nov 2017) by Samuel Remy

AR by Y. Tang on behalf of the Authors (17 Nov 2017)

Short summary

In order to evaluate the data assimilation tools for regional real-time PM_2.5 forecasts, we applied a 3D-Var assimilation tool to adjust the aerosol initial condition by assimilating satellite-retrieved aerosol optical depth and surface PM_2.5 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.