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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REFERENCES
P. N. Antokhin, O. Yu. Antokhina, E. V. Devyatova, and Yu. V. Martynova, “Atmospheric blockings in Western Siberia. Part 2. Long-term variations in blocking frequency and their relation with climatic variability over Asia,” Rus. Meteorol. Hydrol. 43 (3), 143–151. 2018.
K. Yu. Sukovatov and N. N. Bezuglova, “Data interpretation for weather extremes on the basis of quasiresonance hypothesis of blocking formation,” Izv. Altaiskogo Gos. Univ. 102 (4), 36–40 (2018).
P. N. Antokhin, O. Yu. Antokhina, M. Yu. Arshinov, B. D. Belan, D. K. Davydov, A. V. Kozlov, A. V. Fofonov, M. Sasakawa, and T. Machida, “The impact of atmospheric blocking in Western Siberia on changes in carbon dioxide and methane concentrations in winter,” Opt. Atmos. Okeana 32 (3), 221–227 (2019).
S. P. Smyshlyaev, A. I. Pogorel’tsev, and V. Ya. Galin, “Influence of wave activity on the composition of the polar stratosphere,” Geomagn. Aeron. (Engl. Transl.) 56 (1), 95–109 (2016).
O. G. Khutorova, “Correlation between variations of the surface concentration of atmospheric constituents in two industrial regions of Tatarstan,” Opt. Atmos. Okeana 17 (5-6), 470–473 (2004).
D. M. Kabanov, T. R. Kurbangaliev, T. M. Rasskazchikova, S. M. Sakerin, and O. G. Khutorova, “The influence of synoptic factors on variations of atmospheric aerosol optical depth under Siberian conditions,” Atmos. Ocean. Opt. 24 (6) 543–553 (2011).
O. G. Khutorova, V. E. Khutorov, and G. M. Teptin, “Interannual variability of surface and integrated water vapor and atmospheric circulation in Europe,” Atmos. Ocean. Opt. 31 (5), 486–491 (2018).
P. N. Vargin, ”Stratosphere-troposphere dynamical coupling over boreal extratropics during the sudden stratospheric warming in the Arctic in January–February 2017,” Rus. Meteorol. Hydrol. 43 (5), 227–287 (2018).
E. S. Nesterov, “The Madden–Julian oscillation effect on atmospheric circulation in the Northern Hemisphere extratropical latitudes,” Gidrometeorol. Issledovaniya Prognozy, No. 4, 63–73 (2018).
S. Jevrejeva, J. C. Moore, and A. Grinsted, “Oceanic and atmospheric transport of multiyear El Nino—Southern Oscillation (ENSO) signatures to the polar regions,” Geophys. Rev. Lett. 31 (L24210), 1–4 (2004).
J. R. Holton, An Introduction to Dynamic Meteorology (Academic Press, Cambridge, 2004).
V. V. Kalinnikov and O. G. Khutorova, “Diurnal variations in integrated water vapor derived from a GPS ground network in the Volga-Ural region of Russia,” Ann. Geophys. 35 (3), 453–464 (2017).
B. Hofmann-Wellenhof, H. Lichtenegger, and J. Collins, Global Positioning System. Theory and Practice (Springer, Wien; New York, 1994).
V. V. Kalinnikov, O. G. Khutorova, and G. M. Teptin, “Determination of troposphere characteristics using signals of satellite navigation systems,” Izv., Atmos. Ocean. Phys. 48 (6), 631–638 (2012).
M. Bevis and S. Businger, “GPS meteorology: Remote sensing of atmospheric water vapor using the global positioning system,” J. Geophys. Res. 97 (D14), 15787–15801 (1992).
G. Torrence and G. P. Compo, “A practical guide to wavelet analysis,” Bull. Am. Meteorol. Soc. 79 (1), 61–78 (1998).
G. M. Jenkins and D. G. Watts, Spectral Analysis and Its Applications (Holden Day, 1968).
O. G. Khutorova, “A technique for investigating the effects of planetary waves on aerosol optical thickness variations,” Atmos. Ocean. Opt. 22 (2), 198–202 (2009).
H. Hersbach, B. Bell, P. Berrisford, G. Biavati, A. Horányi, SabaterJ. Munoz, J. Nicolas, C. Peubey, R. Radu, I. Rozum, D. Schepers, A. Simmons, C. Soci, D. Dee, and J.-N. Thépaut, ERA5 hourly data on pressure levels from 1979 to present. Copernicus Climate Change Service (C3S) Climate Data Store (CDS). https://cds.climate.copernicus.eu/cdsapp#!/dataset/ reanalysis-era5-pressure-levels?tab=overview. Cited December 17, 2019.
E. Leman, Statistical Hypothesis Testing (Nauka, Moscow, 1979) [inRussian].
O. N. Bylygina, V. M. Veselov, V. N. Razuvaev, and T. M. Aleksandrova, Description of the Set of Expedited Data on Main Meteorological Parameters at Russian Stations. Certificate of State Registration of Databases No. 2 014 620 549.
R. A. Madden, “Large-scale, free Rossby waves in the atmosphere—an update,” Tellus 59A, 571–590 (2007).
Z. Jiang, S. B. Feldstein, and S. Lee, “The relationship between the Madden–Julian oscillation and the North Atlantic oscillation,” Q. J. R. Meteorol. Soc. 143 (702), 240–250 (2017).
A. E. Gill, Atmosphere–Ocean Dynamics (University of Cambridge, Cambridge, England; Academic Press, 1982).
A. S. Monin, Weather Forecast as a Physical Problem (Nauka, Moscow, 1969) [in Russian].
L. A. Diky and G. S. Golitsyn, “Calculation of the Rossby wave velocities,” Tellus 20 (1), 314–317 (1968).
A. N. Vul’fson, “Description of large-scale motions of the mean level of the atmosphere and of Rossby waves in terms of convection theory,” Izv. Acad. Sci. USSR. Atmos. Ocean. Phys. 25 (4), 262–268. 1989.
V. V. Guryanov, A. V. Eliseev, I. I. Mokhov, and Yu. P. Perevedentsev, “Wave activity and its changes in the troposphere and stratosphere of the Northern Hemisphere in winters of 1979–2016,” Izv., Atmos. Ocean. Phys. 54 (2), 133–146 (2018).
E. Chang, “The structure of baroclinic wave packets,” J. Atmos. Sci. 58, 16941713 (2001).
P. N, Vargin, A. N. Luk’yanov, and A. V. Gan’shin, “Investigation of dynamic processes in the period of formation and development of the blocking anticyclone over European Russia in summer 2010,” Izv., Atmos. Ocean. Phys. 48 (5), 476–495 (2012).
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We are grateful to the Copernicus Knowledge Base for providing access to the climate data store.
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The work was supported by the Kazan Federal University Strategic Academic Leadership Program.
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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