Articles | Volume 15, issue 2
Geosci. Model Dev., 15, 771–786, 2022
https://doi.org/10.5194/gmd-15-771-2022
Geosci. Model Dev., 15, 771–786, 2022
https://doi.org/10.5194/gmd-15-771-2022

Development and technical paper 27 Jan 2022

Development and technical paper | 27 Jan 2022

Representation of the autoconversion from cloud to rain using a weighted ensemble approach: a case study using WRF v4.1.3

Jinfang Yin et al.

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Interactive discussion

Status: closed

Comment types: AC – author | RC – referee | CC – community | EC – editor | CEC – chief editor | : Report abuse
  • RC1: 'Comment on gmd-2021-230', Anonymous Referee #1, 10 Sep 2021
    • AC2: 'Reply on RC1', Jinfang Yin, 13 Oct 2021
  • CEC1: 'Comment on gmd-2021-230', Astrid Kerkweg, 04 Oct 2021
    • AC1: 'Reply on CEC1', Jinfang Yin, 08 Oct 2021
    • RC3: 'Reply on CEC1', Anonymous Referee #1, 30 Nov 2021
  • RC2: 'Comment on gmd-2021-230', Anonymous Referee #2, 26 Nov 2021
    • AC3: 'Reply on RC2', Jinfang Yin, 05 Dec 2021

Peer review completion

AR: Author's response | RR: Referee report | ED: Editor decision
AR by Jinfang Yin on behalf of the Authors (07 Dec 2021)  Author's response    Author's tracked changes    Manuscript
ED: Publish subject to technical corrections (14 Dec 2021) by David Topping
AR by Jinfang Yin on behalf of the Authors (15 Dec 2021)  Author's response    Manuscript
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Short summary
An ensemble (EN) approach was designed to improve autoconversion (ATC) from cloud water to rainwater in cloud microphysics schemes. One unique feature of the EN approach is that the ATC rate is a mean value based on the calculations from several widely used ATC schemes. The ensemble approach proposed herein appears to help improve the representation of cloud and precipitation processes in weather and climate models.