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.
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.
the Creative Commons Attribution 4.0 License.
Model evaluation paper
| 
09 Apr 2024
Model evaluation paper |
| 09 Apr 2024
| 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
CORRESPONDING AUTHOR
College of Geomatics and Geoinformation, Guilin University of Technology, Guilin, China
Guangxi Key Laboratory of Spatial Information and Geomatics, Guilin, China
Yuxin Wang
College of Geomatics and Geoinformation, Guilin University of Technology, Guilin, China
Guangxi Key Laboratory of Spatial Information and Geomatics, Guilin, China
Lilong Liu
College of Geomatics and Geoinformation, Guilin University of Technology, Guilin, China
Yibin Yao
School of Geodesy and Geomatics, Wuhan University, Wuhan, China
Liangke Huang
College of Geomatics and Geoinformation, Guilin University of Technology, Guilin, China
Feijuan Li
College of Geomatics and Geoinformation, Guilin University of Technology, Guilin, China
Guangxi Key Laboratory of Spatial Information and Geomatics, Guilin, China
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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.
In this study, we have developed a model (RF-PWV) to characterize precipitable water vapor (PWV)...
