On the distinctiveness of observed oceanic raindrop distributions

Duncan, David Ian; Eriksson, Patrick; Pfreundschuh, Simon; Klepp, Christian; Jones, Daniel C.

doi:https://doi.org/10.5194/acp-19-6969-2019

Articles | Volume 19, issue 10

https://doi.org/10.5194/acp-19-6969-2019

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

https://doi.org/10.5194/acp-19-6969-2019

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

Articles | Volume 19, issue 10

Research article

|

24 May 2019

Research article |

| 24 May 2019

On the distinctiveness of observed oceanic raindrop distributions

David Ian Duncan, Patrick Eriksson, Simon Pfreundschuh, Christian Klepp, and Daniel C. Jones

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Final revised paper (published on 24 May 2019)
Preprint (discussion started on 01 Feb 2019)

Interactive discussion

Status: closed

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

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- Supplement

RC1: 'Comments on the paper titled “On the distinctiveness of oceanic raindrop regimes”', Anonymous Referee #1, 18 Feb 2019
RC2: 'review of Duncan et al. 1', Anonymous Referee #2, 03 Mar 2019
AC1: 'Response to Reviewers', David Duncan, 29 Apr 2019

Peer-review completion

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

AR by David Duncan on behalf of the Authors (29 Apr 2019) Author's response Manuscript

ED: Publish subject to minor revisions (review by editor) (03 May 2019) by Timothy Garrett

AR by David Duncan on behalf of the Authors (12 May 2019) Author's response Manuscript

ED: Publish as is (14 May 2019) by Timothy Garrett

AR by David Duncan on behalf of the Authors (14 May 2019) Manuscript

Short summary

Raindrop size distributions have not been systematically studied over the oceans but are significant for remotely sensing, assimilating, and modeling rain. Here we investigate raindrop populations with new global in situ data, compare them against satellite estimates, and explore a new technique to classify the shapes of these distributions. The results indicate the inadequacy of a commonly assumed shape in some regions and the sizable impact of shape variability on satellite measurements.