Retrieval of lower-order moments of the drop size distribution using CSU-CHILL X-band polarimetric radar: a case study

Bringi, Viswanathan; Mishra, Kumar Vijay; Thurai, Merhala; Kennedy, Patrick C.; Raupach, Timothy H.

doi:https://doi.org/10.5194/amt-13-4727-2020

Articles | Volume 13, issue 9

https://doi.org/10.5194/amt-13-4727-2020

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

https://doi.org/10.5194/amt-13-4727-2020

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

Articles | Volume 13, issue 9

Research article

|

08 Sep 2020

Research article |

| 08 Sep 2020

Retrieval of lower-order moments of the drop size distribution using CSU-CHILL X-band polarimetric radar: a case study

Viswanathan Bringi, Kumar Vijay Mishra, Merhala Thurai, Patrick C. Kennedy, and Timothy H. Raupach

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Final revised paper (published on 08 Sep 2020)
Preprint (discussion started on 28 Apr 2020)

Interactive discussion

Status: closed

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

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- Supplement

RC1: 'Review on “ Retrieval of Lower-Order Moments of the Drop Size Distribution using CSU-CHILL X-band Polarimetric Radar: A Case Study” by Bringi et al.', Anonymous Referee #1, 10 Jul 2020
- AC1: 'authors' response to RC 1', Viswanathan Bringi, 19 Jul 2020
RC2: 'Review', Anonymous Referee #2, 22 Jul 2020
- AC2: 'authors' respones to RC2', Viswanathan Bringi, 25 Jul 2020

Peer-review completion

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

AR by Viswanathan Bringi on behalf of the Authors (27 Jul 2020) Author's response Manuscript

ED: Publish as is (28 Jul 2020) by Gianfranco Vulpiani

Short summary

The raindrop size distribution and its moments are fundamental in many areas, such as radar measurement of rainfall using polarimetry and numerical modeling of the microphysical processes of rain formation and evolution. We develop a technique which uses advanced radar measurements and complete drop size distributions using two collocated instruments to retrieve the lower-order moments such as total drop concentration and rain water content. We demonstrate a proof-of-concept using a case study.