Cloud-top pressure retrieval with DSCOVR EPIC oxygen A- and B-band observations

Yin, Bangsheng; Min, Qilong; Morgan, Emily; Yang, Yuekui; Marshak, Alexander; Davis, Anthony B.

doi:https://doi.org/10.5194/amt-13-5259-2020

Articles | Volume 13, issue 10

https://doi.org/10.5194/amt-13-5259-2020

© Author(s) 2020. This work is distributed under
the Creative Commons Attribution 4.0 License.

https://doi.org/10.5194/amt-13-5259-2020

© Author(s) 2020. This work is distributed under
the Creative Commons Attribution 4.0 License.

Articles | Volume 13, issue 10

Research article

|

06 Oct 2020

Research article |

| 06 Oct 2020

Cloud-top pressure retrieval with DSCOVR EPIC oxygen A- and B-band observations

Bangsheng Yin, Qilong Min, Emily Morgan, Yuekui Yang, Alexander Marshak, and Anthony B. Davis

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Final revised paper (published on 06 Oct 2020)
Preprint (discussion started on 04 Feb 2020)

Interactive discussion

Status: closed

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

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- Supplement

RC1: 'Review of Bangsheng et al.', Anonymous Referee #1, 25 Mar 2020
- AC1: 'Response to Reviewer 1's comments', Qilong Min, 31 Jul 2020
- AC3: 'Revised Manuscripts', Qilong Min, 31 Jul 2020
RC2: 'Review of amt-2019-373', Anonymous Referee #3, 19 Jun 2020
- AC2: 'Response to Reviewer 3's comments', Qilong Min, 31 Jul 2020

Peer-review completion

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

AR by Svenja Lange on behalf of the Authors (06 Aug 2020) Author's response Manuscript

ED: Publish as is (06 Aug 2020) by Alexander Kokhanovsky

Short summary

Cloud-top pressure (CTP) is an important cloud property for climate and weather studies. Based on differential oxygen absorption, both oxygen A-band and B-band pairs can be used to retrieve CTP. However, it is currently very challenging to perform a CTP retrieval accurately due to the complicated in-cloud penetration effect. To address this issue, we propose an analytic transfer inverse model for DSCOVR EPIC observations to retrieve CTP considering in-cloud photon penetration.