Investigating the assimilation of CALIPSO global aerosol vertical observations using a four-dimensional ensemble Kalman filter

Cheng, Yueming; Dai, Tie; Goto, Daisuke; Schutgens, Nick A. J.; Shi, Guangyu; Nakajima, Teruyuki

doi:https://doi.org/10.5194/acp-19-13445-2019

Articles | Volume 19, issue 21

https://doi.org/10.5194/acp-19-13445-2019

© Author(s) 2019. This work is distributed under
the Creative Commons Attribution 4.0 License.

https://doi.org/10.5194/acp-19-13445-2019

© Author(s) 2019. This work is distributed under
the Creative Commons Attribution 4.0 License.

Articles | Volume 19, issue 21

Research article

|

05 Nov 2019

Research article |

| 05 Nov 2019

Investigating the assimilation of CALIPSO global aerosol vertical observations using a four-dimensional ensemble Kalman filter

Yueming Cheng, Tie Dai, Daisuke Goto, Nick A. J. Schutgens, Guangyu Shi, and Teruyuki Nakajima

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Final revised paper (published on 05 Nov 2019)
Supplement to the final revised paper
Preprint (discussion started on 03 Jun 2019)

Interactive discussion

Status: closed

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

- Printer-friendly version

- Supplement

RC1: 'aerosol data assimilation', Anonymous Referee #1, 30 Jun 2019
- AC1: 'response to "Investigating the assimilation of CALIPSO global aerosol vertical observations using Four-Dimensional Ensemble Kalman Filter"', Tie Dai, 09 Sep 2019
RC2: 'As an article of EGU journals, rejected', Anonymous Referee #2, 04 Jul 2019
- AC2: 'Response to "Investigating the assimilation of CALIPSO global aerosol vertical observations using Four-Dimensional Ensemble Kalman Filter"', Tie Dai, 09 Sep 2019
AC1: 'response to "Investigating the assimilation of CALIPSO global aerosol vertical observations using Four-Dimensional Ensemble Kalman Filter"', Tie Dai, 09 Sep 2019
AC2: 'Response to "Investigating the assimilation of CALIPSO global aerosol vertical observations using Four-Dimensional Ensemble Kalman Filter"', Tie Dai, 09 Sep 2019

Peer-review completion

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

AR by Tie Dai on behalf of the Authors (11 Sep 2019) Author's response Manuscript

ED: Referee Nomination & Report Request started (17 Sep 2019) by Jianping Huang

RR by Anonymous Referee #3 (23 Sep 2019)

Suggestions for revision or reasons for rejection

Satellite derived data is often considered as one of the most important data sources for aerosol DA due to its wide coverage. Many DA algorithms have been developed to assimilate MODIS AOD data to obtain better initial fields for aerosol short forecast and generate the aerosol analyses for research community. However, the MODIS AOD data is just the integration of extinction coefficient that is difficult to improve the vertical profile of aerosol. In this paper, the authors assimilated the CALIPSOvertical extinction coefficientsobservations to improve thesimulations of the aerosolvertical distributions using a global chemical transport model. The assimilation methodology was based on the four-dimensional Local EnsembleTransform Kalman Filter (4D-LETKF), and several experiments were conducted to investigate the impact of the assimilation system parameters and observation data on the assimilation results. The work presented in this study is innovative and significant.The paper is in general well written and the structure is clear and logical.The authors also provided clear explanations of why the results seen may be occurring. I recommend accepting forpublication following minor revision.
Specific comments:
1. Page 6 Line 27, ‘implement’ -> ‘implementation’?
2. Page 7 Line 8, Please clarify the observation operator to map the aerosol mixing ratio to the optical properties.
3. The assimilation cycle used in Figure 1 isa bit confusing.
4. Page 7 Line 36, ‘are’ -> ‘is’
5. Page 10 Line 2, delete ‘the’ before ‘0.30’.
6. Page 10 Line 5 and Line 29, ‘relative larger’ -> ‘relatively larger’.
7. Page 13 Line 20, ‘which in also mentioned in Zhang et al. (2014)’ -> ‘which is also mentioned in Zhang et al. (2014)’.
8. Page 15 Line 32, ‘With respected to’ -> ‘With respect to’.

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RR by Anonymous Referee #1 (24 Sep 2019)

ED: Publish subject to minor revisions (review by editor) (25 Sep 2019) by Jianping Huang

Referee 1#
The author has made significant improvements to the manuscripts.
I recommend accepting it after modifying several technical corrections as indicated below:
Please pay attention to the grammar in the sentences of the manuscript.
Page 4 Line 10, ‘Due to’ should be changed to ‘Because’ or ‘Since’. Similar situations often occur in the manuscript (Page 7 Line 5; Page 15 Line 3, 29, 37; Page 17 Line 28 ).
Page 12 Line 33, ‘where’ should be changed to ‘and’.

Referee 2#
Satellite derived data is often considered as one of the most important data sources for aerosol DA due to its wide coverage. Many DA algorithms have been developed to assimilate MODIS AOD data to obtain better initial fields for aerosol short forecast and generate the aerosol analyses for research community. However, the MODIS AOD data is just the integration of extinction coefficient that is difficult to improve the vertical profile of aerosol. In this paper, the authors assimilated the CALIPSOvertical extinction coefficientsobservations to improve thesimulations of the aerosolvertical distributions using a global chemical transport model. The assimilation methodology was based on the four-dimensional Local EnsembleTransform Kalman Filter (4D-LETKF), and several experiments were conducted to investigate the impact of the assimilation system parameters and observation data on the assimilation results. The work presented in this study is innovative and significant.The paper is in general well written and the structure is clear and logical.The authors also provided clear explanations of why the results seen may be occurring. I recommend accepting forpublication following minor revision.
Specific comments:
1. Page 6 Line 27, ‘implement’ -> ‘implementation’?
2. Page 7 Line 8, Please clarify the observation operator to map the aerosol mixing ratio to the optical properties.
3. The assimilation cycle used in Figure 1 isa bit confusing.
4. Page 7 Line 36, ‘are’ -> ‘is’
5. Page 10 Line 2, delete ‘the’ before ‘0.30’.
6. Page 10 Line 5 and Line 29, ‘relative larger’ -> ‘relatively larger’.
7. Page 13 Line 20, ‘which in also mentioned in Zhang et al. (2014)’ -> ‘which is also mentioned in Zhang et al. (2014)’.
8. Page 15 Line 32, ‘With respected to’ -> ‘With respect to’.

Hide

AR by Tie Dai on behalf of the Authors (26 Sep 2019) Author's response Manuscript

ED: Publish as is (29 Sep 2019) by Jianping Huang

AR by Tie Dai on behalf of the Authors (30 Sep 2019)

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Short summary

Aerosol vertical information is critical to quantify the influences of aerosol on the climate and environment; however, large uncertainties still persist in model simulations. Global aerosol vertical distributions are more accurately simulated by assimilating the vertical aerosol extinction coefficients from the Cloud–Aerosol Lidar with Orthogonal Polarization (CALIOP).