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GNSS tropospheric gradients with high temporal resolution and their effect on precise positioning
Author(s) -
Lu Cuixian,
Li Xingxing,
Li Zhenhong,
Heinkelmann Robert,
Nilsson Tobias,
Dick Galina,
Ge Maorong,
Schuh Harald
Publication year - 2016
Publication title -
journal of geophysical research: atmospheres
Language(s) - English
Resource type - Journals
eISSN - 2169-8996
pISSN - 2169-897X
DOI - 10.1002/2015jd024255
Subject(s) - gnss applications , remote sensing , troposphere , satellite , environmental science , satellite system , temporal resolution , radiometer , nowcasting , meteorology , computer science , geology , global positioning system , geography , physics , telecommunications , optics , astronomy
The tropospheric horizontal gradients with high spatiotemporal resolutions provide important information to describe the azimuthally asymmetric delays and significantly increase the ability of ground‐based GNSS (Global Navigation Satellite Systems) within the field of meteorological studies, like the nowcasting of severe rainfall events. The recent rapid development of multi‐GNSS constellations has potential to provide such high‐resolution gradients with a significant degree of accuracy. In this study, we develop a multi‐GNSS process for the precise retrieval of high‐resolution tropospheric gradients. The tropospheric gradients with different temporal resolutions, retrieved from both single‐system and multi‐GNSS solutions, are validated using independent numerical weather models (NWM) data and water vapor radiometer (WVR) observations. The benefits of multi‐GNSS processing for the retrieval of tropospheric gradients, as well as for the improvement of precise positioning, are demonstrated. The multi‐GNSS high‐resolution gradients agree well with those derived from the NWM and WVR, especially for the fast‐changing peaks, which are mostly associated with synoptic fronts. The multi‐GNSS gradients behave in a much more stable manner than the single‐system estimates, especially in cases of high temporal resolution, benefiting from the increased number of observed satellites and improved observation geometry. The high‐resolution multi‐GNSS gradients show higher correlation with the NWM and WVR gradients than the low‐resolution gradients. Furthermore, the precision of station positions can also be noticeably improved by multi‐GNSS fusion, and enhanced results can be achieved if the high‐resolution gradient estimation is performed, instead of the commonly used daily gradient estimation in the multi‐GNSS data processing.