Articles | Volume 3, issue 4
Research article
07 Nov 2022
Research article |  | 07 Nov 2022

The impact of microphysical uncertainty conditional on initial and boundary condition uncertainty under varying synoptic control

Takumi Matsunobu, Christian Keil, and Christian Barthlott


Interactive discussion

Status: closed

Comment types: AC – author | RC – referee | CC – community | EC – editor | CEC – chief editor | : Report abuse
  • RC1: 'Comment on wcd-2022-17', Anonymous Referee #1, 29 Apr 2022
    • AC1: 'Reply on RC1', Takumi Matsunobu, 12 Jul 2022
  • RC2: 'Comment on wcd-2022-17', Anonymous Referee #2, 23 May 2022
    • AC2: 'Reply on RC2', Takumi Matsunobu, 12 Jul 2022

Peer review completion

AR: Author's response | RR: Referee report | ED: Editor decision
AR by Takumi Matsunobu on behalf of the Authors (12 Jul 2022)  Author's response    Author's tracked changes    Manuscript
ED: Referee Nomination & Report Request started (01 Aug 2022) by Juerg Schmidli
RR by Anonymous Referee #1 (08 Sep 2022)
RR by Anonymous Referee #2 (05 Oct 2022)
ED: Publish subject to technical corrections (10 Oct 2022) by Juerg Schmidli
AR by Takumi Matsunobu on behalf of the Authors (12 Oct 2022)  Author's response    Manuscript
Short summary
This study quantifies the impact of poorly constrained parameters used to represent aerosol–cloud–precipitation interactions on precipitation and cloud forecasts associated with uncertainties in input atmospheric states. Uncertainties in these parameters have a non-negligible impact on daily precipitation amount and largely change the amount of cloud. The comparison between different weather situations reveals that the impact becomes more important when convection is triggered by local effects.