UDC: 
DOI: 
10.22389/0016-7126-2024-1003-1-59-64
1 Kalinnikov V.V.
2 Khutorova O.G.
Year: 
№: 
1003
Pages: 
59-64

Innopolis University

1, 

Kazan Federal University

2, 
Abstract:
The authors examine the impact of Nadia Hurricane, 2022, January, 29–30, over the southern coast of the Baltic Sea, on phase measurements of permanent GNSS stations. For this purpose, the data were processed in PPP mode from 10 objects located in Poland and the Kaliningrad oblast of the Russian Federation. As a result, residuals were obtained, from which the contribution of multipath, ephemeris errors and those, in clock corrections of navigation satellites, were subtracted. It was found out that the standard deviation of cleaned residuals is a weak indicator of increased turbulent activity caused by the hurricane. However, simple counting the total daily number of large cleaned residuals, normalized to the zenith direction can be an effective indicator for identifying periods of high tropospheric turbulence. It can be used both for remote sensing of rapidly developing weather processes, and in interpreting data from permanently operating satellite geodetic monitoring stations of particularly dangerous and technically complex objects
The study was supported by the Russian Science Foundation grant No. 23-27-00222 (https://rscf.ru/project/23-27-00222)
References: 
1.   Kosarev N. S. Issledovanie metodiki kontrolya fazovykh GNSS izmerenii po imitatsionnym dannym. Vestnik SSUGT, 2016, no. 33, pp. 6–13.
2.   Böhm J., Werl B., Schuh H. (2006) Troposphere mapping functions for GPS and very long baseline interferometry from European centre for medium-range weather forecasts operational analysis data. Journal of Geophysical Research: Solid Earth, Volume 111, no. ¬2, DOI: 10.1029/2005JB003629.
3.   Braun J., Rocken C., Liljergen J. (2002) Comparisons of line of-sight water vapor observations using the global positioning system and a pointing microwave radiometer. Journal of Atmospheric and Oceanic Technology, no. 20, pp. 606–612. DOI: 10.1175/1520-0426(2003)202.0.CO;2.
4.   Chen G., Herring T. A. (1997) Effects of atmospheric azimuthal asymmetry on the analysis of space geodetic data. Journal of Geophysical Research: Solid Earth, Volume 102, no. ¬9, pp. 20489–20502. DOI: 10.1029/97JB01739.
5.   Hordyniec P., Kapłon J., Rohm W., Kryza M. (2018) Residuals of Tropospheric Delays from GNSS Data and Ray-Tracing as a Potential Indicator of Rain and Clouds. Remote Sens, no. 10 (12), DOI: 10.3390/rs10121917.
6.   Hunegnaw A., Duman H., Ejigu Y. G., Baltaci H., Douša J., Teferle F. N. (2023) On the impact of GPS multipath correction maps and post-fit residuals on slant wet delays for tracking severe weather events. Atmosphere, no. 14 (2), DOI: 10.3390/atmos14020219.
7.   Kačmařík M., Douša J., Dick G., Zus F., Brenot H., Möller G., Pottiaux E., Kapłon J., Hordyniec P., Václavovic P., Morel L. (2017) Inter-technique validation of tropospheric slant total delays. Atmospheric Measurement Techniques, no. 10 (6), pp. 2183–2208. DOI: 10.5194/amt-10-2183-2017.
8.   Kalinnikov V. V., Ustinov A. V., Khutorova O. G., Zagretdinov R. V. (2021) An illustration of the possibility of using GNSS observations to measure evaporation over a reservoir using the example of Nizhnekamsk HPP. Power Technology and Engineering, no. 55, pp. 168–171. DOI: 10.1007/s10749-021-01336-w.
9.   Nahmani S., Bock O., Guichard F. (2019) Sensitivity of GPS tropospheric estimates to mesoscale convective systems in West Africa. Atmospheric Chemistry and Physics, no. 19 (14), pp. 9541–9561. DOI: 10.5194/acp-19-9541-2019.
10.   Shoji Y., Nakamura H., Iwabuchi T., Aonashi K., Seko H., Mishima K., Itagaki A., Ichikawa R., Ohtani R. (2004) Tsukuba GPS dense net campaign observation: improvement in GPS analysis of slant path delay by stacking one-way postfit phase residuals. Journal of the Meteorological Society of Japan. Ser. II, no. 82, 1B, pp. 301–314. DOI: 10.2151/jmsj.2004.301.
Citation:
Kalinnikov V.V., 
Khutorova O.G., 
(2024) Indication of the impact of increased turbulent activity in the troposphere on the phase measurements of GNSS radio signals (the example of Nadia Hurricane). Geodesy and cartography = Geodezia i Kartografia, 85(1), pp. 59-64. (In Russian). DOI: 10.22389/0016-7126-2024-1003-1-59-64
Publication History
Received: 21.09.2023
Accepted: 22.01.2024
Published: 25.02.2024

Content

2024 January DOI:
10.22389/0016-7126-2024-1003-1