Geoscientific Model Development
Geoscientific Model Development
GMD
Articles | Volume 17, issue 7
Articles | Volume 17, issue 7
https://doi.org/10.5194/gmd-17-2569-2024
© Author(s) 2024. This work is distributed under
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/gmd-17-2569-2024
© Author(s) 2024. This work is distributed under
the Creative Commons Attribution 4.0 License.
Articles | Volume 17, issue 7
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

Viewed

Total article views: 574 (including HTML, PDF, and XML)
HTML PDF XML Total BibTeX EndNote
418 109 47 574 51 42
  • HTML: 418
  • PDF: 109
  • XML: 47
  • Total: 574
  • BibTeX: 51
  • EndNote: 42
Views and downloads (calculated since 05 Dec 2023)
Cumulative views and downloads (calculated since 05 Dec 2023)

Viewed (geographical distribution)

Total article views: 574 (including HTML, PDF, and XML) Thereof 556 with geography defined and 18 with unknown origin.
Country # Views %
  • 1
1
 
 
 
 

Cited

Latest update: 15 May 2024
Download
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.
Read more