Towards variational retrieval of warm rain from passive microwave observations

Duncan, David Ian; Kummerow, Christian D.; Dolan, Brenda; Petković, Veljko

doi:https://doi.org/10.5194/amt-11-4389-2018

Articles | Volume 11, issue 7

https://doi.org/10.5194/amt-11-4389-2018

© Author(s) 2018. This work is distributed under
the Creative Commons Attribution 4.0 License.

https://doi.org/10.5194/amt-11-4389-2018

© Author(s) 2018. This work is distributed under
the Creative Commons Attribution 4.0 License.

Articles | Volume 11, issue 7

Research article

|

25 Jul 2018

Research article |

| 25 Jul 2018

Towards variational retrieval of warm rain from passive microwave observations

David Ian Duncan, Christian D. Kummerow, Brenda Dolan, and Veljko Petković

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Final revised paper (published on 25 Jul 2018)
Preprint (discussion started on 11 Apr 2018)

Interactive discussion

Status: closed

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

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- Supplement

RC1: 'Revie of Duncan et al. 2018', Anonymous Referee #1, 30 May 2018
- AC1: 'Response to reviewers', David Duncan, 26 Jun 2018
RC2: 'Referee comment', Anonymous Referee #2, 01 Jun 2018
- AC1: 'Response to reviewers', David Duncan, 26 Jun 2018
RC3: 'Review of “Towards variational retrieval of warm rain from passive microwave observations” by Duncan et al.', Anonymous Referee #3, 12 Jun 2018
- AC1: 'Response to reviewers', David Duncan, 26 Jun 2018

Peer-review completion

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

AR by David Duncan on behalf of the Authors (26 Jun 2018) Author's response Manuscript

ED: Publish as is (12 Jul 2018) by S. Joseph Munchak

Short summary

Satellites are fairly good at detecting and quantifying rainfall over oceans, but the light rainfall characteristic of high latitudes and stratocumulus areas is harder to sense for passive sensors. The method presented extends the sensitivity of passive measurements to light rain by leveraging radar data and measurements of raindrop distributions. This method may help to close the gap between global precipitation estimates at high latitudes and maximize the utility of passive sensors.