Toward a variational assimilation of polarimetric radar observations in a convective-scale numerical weather prediction (NWP) model

Thomas, Guillaume; Mahfouf, Jean-François; Montmerle, Thibaut

doi:https://doi.org/10.5194/amt-13-2279-2020

Articles | Volume 13, issue 5

https://doi.org/10.5194/amt-13-2279-2020

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

https://doi.org/10.5194/amt-13-2279-2020

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

Articles | Volume 13, issue 5

Research article

|

11 May 2020

Research article |

| 11 May 2020

Toward a variational assimilation of polarimetric radar observations in a convective-scale numerical weather prediction (NWP) model

Guillaume Thomas, Jean-François Mahfouf, and Thibaut Montmerle

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Final revised paper (published on 11 May 2020)
Preprint (discussion started on 16 Dec 2019)

Interactive discussion

Status: closed

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

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- Supplement

RC1: 'referee rapport', Anonymous Referee #1, 07 Feb 2020
- AC1: 'Response to the first referee report', Guillaume Thomas, 13 Feb 2020
RC2: 'Interactive comment on “Toward a variational assimilation of polarimetric radar observation in a convective scale NWP model” by Guillaume Thomas et al.', Anonymous Referee #2, 17 Mar 2020
- AC3: 'Response to the second referee repor', Guillaume Thomas, 19 Mar 2020
AC2: 'Response to the second referee report', Guillaume Thomas, 19 Mar 2020

Peer-review completion

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

AR by Guillaume Thomas on behalf of the Authors (19 Mar 2020) Author's response Manuscript

ED: Publish as is (26 Mar 2020) by Isaac Moradi

AR by Guillaume Thomas on behalf of the Authors (01 Apr 2020)

Short summary

This paper presents the potential of a polarimetric weather radar observation operator for hydrometeor content initialization. The non-linear operator allows to simulate Z_HH, Z_DR, K_DP and ρ_HV, using the T-Matrix method, prognostic variables forecasted by the AROME-France NWP model and a one-moment microphysical scheme. After sensitivity studies, it has been found that Z_HH and Z_DR are good candidates for hydrometeor initialization and that K_DP seems useful for rain content only.