Articles | Volume 18, issue 5
https://doi.org/10.5194/gmd-18-1545-2025
https://doi.org/10.5194/gmd-18-1545-2025
Development and technical paper
 | 
10 Mar 2025
Development and technical paper |  | 10 Mar 2025

Quantifying the analysis uncertainty for nowcasting application

Yanwei Zhu, Aitor Atencia, Markus Dabernig, and Yong Wang

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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 egusphere-2024-1554', Anonymous Referee #1, 04 Oct 2024
    • AC1: 'Reply on RC1', Yong Wang, 27 Nov 2024
  • RC2: 'Comment on egusphere-2024-1554', Anonymous Referee #2, 06 Nov 2024
    • AC2: 'Reply on RC2', Yong Wang, 27 Nov 2024

Peer review completion

AR: Author's response | RR: Referee report | ED: Editor decision | EF: Editorial file upload
AR by Yong Wang on behalf of the Authors (15 Dec 2024)  Author's response   Author's tracked changes   Manuscript 
ED: Referee Nomination & Report Request started (16 Dec 2024) by Dan Lu
RR by Anonymous Referee #2 (27 Dec 2024)
ED: Publish subject to minor revisions (review by editor) (07 Jan 2025) by Dan Lu
AR by Yong Wang on behalf of the Authors (08 Jan 2025)  Author's response   Author's tracked changes   Manuscript 
ED: Publish as is (16 Jan 2025) by Dan Lu
AR by Yong Wang on behalf of the Authors (17 Jan 2025)  Manuscript 
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Short summary
Most works have delved into convective weather nowcasting, and only a few works have discussed the nowcasting uncertainty for variables at the surface level. Hence, we proposed a method to estimate uncertainty. Generating appropriate noises associated with the characteristic of the error in analysis can simulate the uncertainty of nowcasting. This method can contribute to the estimation of near–surface analysis uncertainty in both nowcasting applications and ensemble nowcasting development.
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