Spatiotemporal characteristics of GNSS-derived precipitable water vapor during heavy rainfall events in Guilin, China

Spatiotemporal characteristics of GNSS-derived precipitable water vapor during heavy rainfall events in Guilin, China

Abstract Precipitable Water Vapor (PWV), as an important indicator of atmospheric water vapor, can be derived from Global Navigation Satellite System (GNSS) observations with the advantages of high precision and all-weather capacity. GNSS-derived PWV with a high spatiotemporal resolution has become...

Full description

Bibliographic Details
Main Authors: Liangke Huang, Zhixiang Mo, Shaofeng Xie, Lilong Liu, Jun Chen, Chuanli Kang, Shitai Wang
Format: Article
Language:English
Published: SpringerOpen 2021-08-01
Series:Satellite Navigation
Subjects:
GNSS
Precipitable water vapor
Heavy rainfall
Spatiotemporal characteristic
Atmospheric weighted mean temperature
Online Access:https://doi.org/10.1186/s43020-021-00046-y

Internet

https://doi.org/10.1186/s43020-021-00046-y

Similar Items