A radar reflectivity operator with ice-phase hydrometeors for variational data assimilation (version 1.0) and its  evaluation with real radar data

Wang, Shizhang; Liu, Zhiquan

doi:https://doi.org/10.5194/gmd-12-4031-2019

Articles | Volume 12, issue 9

https://doi.org/10.5194/gmd-12-4031-2019

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

https://doi.org/10.5194/gmd-12-4031-2019

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

Articles | Volume 12, issue 9

Model description paper

|

13 Sep 2019

Model description paper |

| 13 Sep 2019

A radar reflectivity operator with ice-phase hydrometeors for variational data assimilation (version 1.0) and its evaluation with real radar data

Shizhang Wang and Zhiquan Liu

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Final revised paper (published on 13 Sep 2019)
Preprint (discussion started on 25 Apr 2019)

Interactive discussion

Status: closed

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

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- Supplement

RC1: 'Review for "A radar reflectivity operator with ice-phase hydrometeors for variational data assimilation (RadZIceVar v1.0) and its evaluation with real radar data"', Juanzhen Sun, 22 May 2019
SC1: 'Executive editor comment, code and data availability.', David Ham, 24 May 2019
- AC1: 'Code and data availability', Shizhang Wang, 20 Jul 2019
RC2: 'Interactive comment', Anonymous Referee #2, 07 Jun 2019
AC2: 'Reply to reviewers' comments', Shizhang Wang, 20 Jul 2019

Peer-review completion

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

AR by Anna Wenzel on behalf of the Authors (23 Jul 2019) Author's response

ED: Publish as is (03 Aug 2019) by Richard Neale

AR by Shizhang Wang on behalf of the Authors (08 Aug 2019) Author's response Manuscript

Short summary

A reflectivity operator was developed for directly assimilating radar reflectivity involving contributions from ice species with the variational data assimilation method. Its current version was implemented in WRFDA 3.9.1. This operator allows for not only the dry snow/graupel but also the wet species so that it can effectively obtain the rainwater, snow, and graupel analysis which improved the short-term precipitation forecasts compared to those of the experiment without DA.