Articles | Volume 19, issue 18
https://doi.org/10.5194/gmd-19-9235-2026
https://doi.org/10.5194/gmd-19-9235-2026
Model description paper
 | 
29 Sep 2026
Model description paper |  | 29 Sep 2026

China regional 3 km downscaling based on residual Corrective Diffusion model

Honglu Sun, Hao Jing, Zhixiang Dai, Sa Xiao, Wei Xue, Jian Sun, and Qifeng Lu

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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-2026-822', Anonymous Referee #1, 12 Mar 2026
    • AC2: 'Reply on RC1', Honglu Sun, 10 Jun 2026
  • CEC1: 'Comment on egusphere-2026-822', Juan Antonio Añel, 26 Mar 2026
    • AC1: 'Reply on CEC1', Honglu Sun, 27 Mar 2026
      • CEC2: 'Reply on AC1', Juan Antonio Añel, 27 Mar 2026
  • RC2: 'Comment on egusphere-2026-822', Anonymous Referee #2, 09 May 2026
    • AC3: 'Reply on RC2', Honglu Sun, 10 Jun 2026

Peer review completion

AR – Author's response | RR – Referee report | ED – Editor decision | EF – Editorial file upload
AR by Honglu Sun on behalf of the Authors (09 Jul 2026)  Author's response   Author's tracked changes   Manuscript 
ED: Referee Nomination & Report Request started (17 Jul 2026) by Stefan Rahimi-Esfarjani
RR by Anonymous Referee #2 (25 Jul 2026)
RR by Anonymous Referee #3 (04 Sep 2026)
ED: Publish as is (09 Sep 2026) by Stefan Rahimi-Esfarjani
AR by Honglu Sun on behalf of the Authors (14 Sep 2026)
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Short summary
This study represents the first application of CorrDiff (Corrective Diffusion), a diffusion-based model, to achieve 3 km resolution statistical downscaling over China by integrating various variables at multiple levels. Through structural improvements to CorrDiff, our methods produce forecasts that outperform the China Meteorological Administration Mesoscale Model for almost all target variables. Our results show that for radar reflectivity prediction, CorrDiff yields more realistic outputs than regression models.
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