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Atmospheric Chemistry and Physics An interactive open-access journal of the European Geosciences Union
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ACP | Articles | Volume 19, issue 3
Atmos. Chem. Phys., 19, 1785-1799, 2019
https://doi.org/10.5194/acp-19-1785-2019
© Author(s) 2019. This work is distributed under
the Creative Commons Attribution 4.0 License.
Atmos. Chem. Phys., 19, 1785-1799, 2019
https://doi.org/10.5194/acp-19-1785-2019
© Author(s) 2019. This work is distributed under
the Creative Commons Attribution 4.0 License.

Research article 08 Feb 2019

Research article | 08 Feb 2019

Turbulent enhancement of radar reflectivity factor for polydisperse cloud droplets

Keigo Matsuda and Ryo Onishi
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Status: closed
Status: closed
AC: Author comment | RC: Referee comment | SC: Short comment | EC: Editor comment
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AR: Author's response | RR: Referee report | ED: Editor decision
AR by Keigo Matsuda on behalf of the Authors (05 Nov 2018)  Author's response    Manuscript
ED: Referee Nomination & Report Request started (18 Nov 2018) by Graham Feingold
RR by Anonymous Referee #2 (19 Nov 2018)
RR by Anonymous Referee #1 (13 Dec 2018)
ED: Publish as is (07 Jan 2019) by Graham Feingold
Publications Copernicus
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Short summary
This paper presents a parameterization to predict the influence of microscale turbulent clustering of cloud droplets on the radar reflectivity factor, based on a direct numerical simulation (DNS) of turbulence. The proposed parameterization takes account of the turbulent clustering structure of droplets with arbitrary size distributions. This paper also discusses quantitative influences on realistic radar observations, applying the parameterization to high-resolution cloud-simulation data.
This paper presents a parameterization to predict the influence of microscale turbulent...
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