This paper solves the problem of identifying the relationship between atmospheric parameters measured using GNSS receivers and the characteristics of convective processes according to monitoring data in Kazan for 2009-2021. It is shown that the statistical characteristics of the atmospheric integral water vapor significantly change depending on the indices depending on the potential available instability energy and vertical wind shear. This work was supported by the Russian Science Foundation (project no. 23-27-00222).
This paper presents the results of a study of the variability of mesoscale variations of the integrated water vapor of the atmosphere during precipitation periods. The measurements of the network of receivers of satellite navigation systems near the Kazan city (Volga Region, Russia), data from meteorological stations and ERA5 reanalysis are analyzed for summer 2020. The coherence of the field of integrated water vapor of the atmosphere with the field of precipitation was found.
The variability of the time series of the atmospheric integral water vapor for the territory of Europe was studied according to the ERA5 reanalysis data. Irregular, but significant quasiperiodic fluctuations with periods from 2 to 12 years, coherent with the Arctic fluctuation and other circulation indices, were found. It is shown that the local wavelet correlation of these variations reaches 0.7–0.9. The alternating significant coherence of equatorial processes and the circulation of the northern hemisphere for quasiperiodic variations with scales of 2-6 years has been established. It can be concluded that the El Niño-Southern Oscillation (ENSO) makes a significant contribution to the interannual variability of moisture content in the European territory. Several modes of coherent variations in the range of 2 - 6 years have been established. However, the coherence of variations of ENSO and the surface partial pressure of water vapor is irregular. It is shown that during periods of coherence, the energy of oscillations of ENSO is transferred from the equator to the middle and polar latitudes in the troposphere and the lower stratosphere.
The GPS-derived integral water vapor mesoscale structure is analyzed. In the paper measurements of a satellite navigation systems receiver’s network located near the Kazan city were used. It is shown that during the weather fronts the strong mesoscale perturbations appear in atmospheric integral water vapor fields. The intensity of mesoscale processes is correlated with the pressure and temperature variations.
This paper presenting results of the seasonal, interannual mesoscale and synoptic variations of the surface and atmosphere integral moisture content variability analysis. Several years of the meteostation network data and data from satellite navigation system receivers on Europe were analyzed. It is shown, that the maximum contribution to the moisture content variability is given by seasonal variations. The predominant process of near ground and integrated atmospheric water content is year and half-year harmonics. In near ground and integrated atmospheric water content spectra the interannual variations were found. The synoptic variation intensity for all analyzed parameters is modulated by the harmonics of the annual harmonic.
In this paper we presented results long-term experimental study of atmosphere remote sensing by GPS-GLONASS signals and simultaneous near surface atmospheric parameters measurements in Kazan city. During the period of 2010 - 2012. the interannual and seasonal variability of the radiovawes zenith tropospheric delay structure functions was analyzed. The correlation coefficient of the of the time structure function decimeter radio waves zenith tropospheric delay power approximation with surface temperature reaches a value of 0.73 for the fluctuations with time scales up to 8 hours. According to the results it can be assume a strong influence of the synoptic processes and the underlying surface on the formation of mesoscale fluctuations in the satellite navigation systems phase path.
The total zenith tropospheric delay (ZTD) is an important parameter of the atmosphere and directly or indirectly reflects the weather processes and variations. This paper presents a hardware and software complex for continuous measurements and prediction of atmospheric thermodynamics and radio waves refraction index. The main part is a network of ground-based spatially separated GPS/GLONASS receivers, which allows the remote sensing zenith tropospheric delay. GPS-Derived Zenith Tropospheric Delay shows the day to day variation and mesoscale spatial and temporal variability. Comparison with the numerical weather reanalysis fields and solar photometer measurements showed agreement with the relative deviation of less than 10%. Hardware-software complex includes the numerical model of the atmosphere on a computational cluster. A variational assimilation system was used to examine the comparative impact of including satellite derived total zenith tropospheric delay from GPS and GLONASS ground observations. Preliminary results show that the initial field of radio waves refraction index was improved by assimilating the satellite derived ZTD.
In this paper we show results of troposphere fluctuation analysis and its influence on GPS phase observations. The main object of investigation is a time and spatial correlations between GPS observables induced by the atmospheric mesoscale process in troposphere. We can estimate space structure of atmospheric parameters, using the data from network based on Global Navigation Satellite System receivers. We used mathematical means of turbulence theory and wavelet analysis. The results show a significant effect on GPS signals caused by the mesoscale troposphere process and urban conditions.
The total zenith tropospheric delay (ZTD) is an important parameter of the atmosphere and directly or indirectly reflects the weather processes and variations. This paper presents a hardware and software complex for continuous measurements and prediction of atmospheric thermodynamics and radiowaves refraction index. The main part is a network of ground-based spatially separated GPS-GLONASS receivers, which allows the remote sensing zenith tropospheric delay. GPS-Derived Zenith Tropospheric Delay shows the day to day variation and mesoscale spatial and temporal variability. Comparison with the numerical weather reanalysis fields and solar photometer measurements showed agreement with the relative deviation of less than 10%. Hardware-software complex includes the numerical model of the atmosphere on a computational cluster. A variational assimilation system was used to examine the comparative impact of including satellite derived total zenith tropospheric delay from GPS and GLONASS ground observations. Preliminary results show that the initial field of radiowaves refraction index was improved by assimilating the satellite derived ZTD.
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