Articles | Volume 17, issue 7
https://doi.org/10.5194/gmd-17-2569-2024
https://doi.org/10.5194/gmd-17-2569-2024
Model evaluation paper
 | 
09 Apr 2024
Model evaluation paper |  | 09 Apr 2024

A grid model for vertical correction of precipitable water vapor over the Chinese mainland and surrounding areas using random forest

Junyu Li, Yuxin Wang, Lilong Liu, Yibin Yao, Liangke Huang, and Feijuan Li

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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-2023-201', Anonymous Referee #1, 13 Dec 2023
    • AC2: 'Reply on RC1', Junyu Li, 06 Feb 2024
  • RC2: 'Comment on gmd-2023-201', Anonymous Referee #2, 05 Jan 2024
    • AC1: 'Reply on RC2', Junyu Li, 06 Feb 2024

Peer review completion

AR: Author's response | RR: Referee report | ED: Editor decision | EF: Editorial file upload
AR by Junyu Li on behalf of the Authors (06 Feb 2024)  Author's response   Author's tracked changes   Manuscript 
ED: Referee Nomination & Report Request started (08 Feb 2024) by Rohitash Chandra
RR by Anonymous Referee #2 (16 Feb 2024)
RR by Anonymous Referee #1 (19 Feb 2024)
ED: Publish as is (23 Feb 2024) by Rohitash Chandra
AR by Junyu Li on behalf of the Authors (23 Feb 2024)
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Short summary
In this study, we have developed a model (RF-PWV) to characterize precipitable water vapor (PWV) variation with altitude in the study area. RF-PWV can significantly reduce errors in vertical correction, enhance PWV fusion product accuracy, and provide insights into PWV vertical distribution, thereby contributing to climate research.