z-logo
open-access-imgOpen Access
Spatiotemporal Statistical Analysis of Slant Wet Delays From Ground-based GNSS Stations Over China
Author(s) -
Jingna Bai,
Xianjie Li,
Yidong Lou,
Weixing Zhang,
Yaozong Zhou,
Fangzhao Zhang,
Jingnan Liu,
Jean-Pierre Barriot
Publication year - 2025
Publication title -
ieee journal of selected topics in applied earth observations and remote sensing
Language(s) - English
Resource type - Magazines
SCImago Journal Rank - 1.246
H-Index - 88
eISSN - 2151-1535
pISSN - 1939-1404
DOI - 10.1109/jstars.2025.3593287
Subject(s) - geoscience , signal processing and analysis , power, energy and industry applications
Slant Wet Delays (SWDs) are delays of radio wave signals caused by water vapor in the neutral atmosphere along the signal paths. Their direct analysis provides statistical information that cannot be derived through the traditional Precipitable Water (PW) modeling that only gives information about the vertical atmospheric column. In this study, we modeled the SWDs correlation lengths in space and time relative to 32 GNSS stations well distributed over China for the whole year 2018, based on series expansions in space and time of these SWDs for each standalone GNSS station. We found that the correlation length in angular separation in the sky seen from the station ranges from 12° to 20° and that the temporal correlation length varies within 2–7 days, with a strong dependence on climate types over China. Specifically, for the correlation length in angular separation in the sky, the latitude, temperature, and precipitation for each GNSS station were found to be highly correlated, while the longitude, altitude of the station, and pressure were found to be highly correlated to the correlation length in time. To the best of our knowledge, it is the first statistical analysis of this kind of SWDs over a large range of GNSS stations.

The content you want is available to Zendy users.

Already have an account? Click here to sign in.
Having issues? You can contact us here
Accelerating Research

Address

John Eccles House
Robert Robinson Avenue,
Oxford Science Park, Oxford
OX4 4GP, United Kingdom