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Parameters of Wave Processes from GNSS Data

  • REMOTE SENSING OF ATMOSPHERE, HYDROSPHERE, AND UNDERLYING SURFACE
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Abstract

Mesoscale spatiotemporal variations with periods of 3–60 days are studied based on the remote sensing data from the GLONASS GPS receiver network in 2012–2015. The main modes of mesoscale variations are found; empirical distributions of their amplitudes, phase velocities, and spatial scales are constructed. The seasonal dependences of these parameters are found. Using independent data from meteorological stations and ERA5 reanalysis, it is shown that variations in the zenith tropospheric delay of radio waves, integral moisture content of the atmosphere, surface refractive index, and wind speed in the troposphere are determined by the same mesoscale atmospheric processes, with the most probable wavelengths of no more than 8000 km.

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ACKNOWLEDGMENTS

We are grateful to the Copernicus Knowledge Base for providing access to the climate data store.

Funding

The work was supported by the Kazan Federal University Strategic Academic Leadership Program.

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Correspondence to O. G. Khutorova, V. E. Khutorov or G. E. Korchagin.

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Khutorova, O.G., Khutorov, V.E. & Korchagin, G.E. Parameters of Wave Processes from GNSS Data. Atmos Ocean Opt 35, 52–56 (2022). https://doi.org/10.1134/S1024856022010092

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  • DOI: https://doi.org/10.1134/S1024856022010092

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