Microphysical properties of three types of snow clouds: implication for satellite snowfall retrievals

Jeoung, Hwayoung; Liu, Guosheng; Kim, Kwonil; Lee, Gyuwon; Seo, Eun-Kyoung

doi:https://doi.org/10.5194/acp-20-14491-2020

Articles | Volume 20, issue 23

https://doi.org/10.5194/acp-20-14491-2020

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

Special issue:

Winter weather research in complex terrain during ICE-POP...

https://doi.org/10.5194/acp-20-14491-2020

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

Articles | Volume 20, issue 23

Research article

|

30 Nov 2020

Research article |

| 30 Nov 2020

Microphysical properties of three types of snow clouds: implication for satellite snowfall retrievals

Hwayoung Jeoung, Guosheng Liu, Kwonil Kim, Gyuwon Lee, and Eun-Kyoung Seo

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Final revised paper (published on 30 Nov 2020)
Preprint (discussion started on 30 Jul 2020)

Interactive discussion

Status: closed

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

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RC1: 'Specific comments for minor revisions', Anonymous Referee #1, 25 Aug 2020
- AC1: 'reply to comments from Reviewer #1', Guosheng Liu, 15 Sep 2020
RC2: 'Minor revisioin', Anonymous Referee #2, 27 Aug 2020
- AC2: 'reply to comments from Reviewer #2', Guosheng Liu, 15 Sep 2020
SC1: 'Comments and questions to Jeoung et al.', Stefan Kneifel, 22 Sep 2020
AC3: 'Reply to Stefan Kneifel Comments', Guosheng Liu, 28 Sep 2020

Peer-review completion

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

AR by Guosheng Liu on behalf of the Authors (15 Oct 2020) Author's response Manuscript

ED: Publish as is (19 Oct 2020) by Timothy Garrett

AR by Guosheng Liu on behalf of the Authors (19 Oct 2020)

Post-review adjustments

AA: Author's adjustment | EA: Editor approval

AA by Guosheng Liu on behalf of the Authors (27 Nov 2020) Author's adjustment Manuscript

EA: Adjustments approved (27 Nov 2020) by Timothy Garrett

Short summary

Radar and radiometer observations were used to study cloud liquid and snowfall in three types of snow clouds. While near-surface and shallow clouds have an area fraction of 90 %, deep clouds contribute half of the total snowfall volume. Deeper clouds have heavier snowfall, although cloud liquid is equally abundant in all three cloud types. The skills of a GMI Bayesian algorithm are examined. Snowfall in deep clouds may be reasonably retrieved, but it is challenging for near-surface clouds.