4-D-VAR assimilation of disdrometer data and radar spectral reflectivities for raindrop size distribution and  vertical wind retrievals

Mercier, François; Chazottes, Aymeric; Barthès, Laurent; Mallet, Cécile

doi:https://doi.org/10.5194/amt-9-3145-2016

Articles | Volume 9, issue 7

https://doi.org/10.5194/amt-9-3145-2016

© Author(s) 2016. This work is distributed under
the Creative Commons Attribution 3.0 License.

https://doi.org/10.5194/amt-9-3145-2016

© Author(s) 2016. This work is distributed under
the Creative Commons Attribution 3.0 License.

Articles | Volume 9, issue 7

Research article

|

20 Jul 2016

Research article |

| 20 Jul 2016

4-D-VAR assimilation of disdrometer data and radar spectral reflectivities for raindrop size distribution and vertical wind retrievals

François Mercier, Aymeric Chazottes, Laurent Barthès, and Cécile Mallet

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Final revised paper (published on 20 Jul 2016)
Preprint (discussion started on 25 Nov 2015)

Interactive discussion

Status: closed

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

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- Supplement

RC C4345: 'Review of Mercier et al.', Alain Protat, 15 Dec 2015
- AC C5591: 'Response to referee #1', Francois Mercier, 04 Mar 2016
RC C5374: 'Comments for Mercier et al. Manuscript', Anonymous Referee #2, 08 Feb 2016
- AC C5592: 'Response to referee #2', Francois Mercier, 04 Mar 2016

Short summary

The aim of this study is to retrieve vertical profiles of raindrop size distributions and vertical winds from radar and ground measurements. This is crucial to understand the phenomena acting on the raindrops at small scale during their fall and then to be able to merge measurements of rain at different heights and scales (from radar, rain gauges, satellites etc.). It could also help to improve the treatment of radar data and to better parameterize rain in numerical weather prediction models.