Abstract
In this paper we present a statistical model of the temporal variability of the characteristics of high-altitude jet streams in the Northern Hemisphere for 2007–2019. The model is based on the results of processing the measurement data of the SEVIRI radiometer. The area of Arctic sea ice, tropospheric temperatures at various levels and their differences between low and high latitudes, and various indices of large-scale processes characterizing climatic variability were used as predictors for constructing a multiple linear regression model. A detailed spectral analysis of the standardized series of characteristics of jet streams and predictors revealed the presence of periodic oscillations in a wide spectral range: from short-period to long-period (30–50 months). A model that describes the entire spectrum of temporal variations in the characteristics of jet streams, as well as a model for variations of only the long-period part, is constructed. The sea-ice area and a group of predictors associated with variations in tropospheric temperature are shown to make the greatest contribution to the variations in the characteristics of jet currents. The maximal contribution of the indices of large-scale atmospheric processes to the model quality does not exceed 10%. In general, the multiple linear regression model can describe up to 50–70% of the variability in the average area, maximal velocity, and latitudinal position of the jet stream center.
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REFERENCES
2019 Report on Climate Features on the Territory of the Russian Federation (Rosgidromet, Moscow, 2020) [in Russian]
J. Masters, “The jet stream is getting weird,” Sci. Am. 311 (6), 68–75 (2014).
A. F. Nerushev, K. N. Visheratin, and R. V. Ivangorodsky, “Dynamics of high-altitude jet streams from satellite measurements and their relationship with climatic parameters and large-scale atmospheric phenomena,” Izv., Atmos. Ocean Phys. 55 (9), 1198–1209 (2019).
S. Yu. Zolotov, I. I. Ippolitov, S. V. Loginov, and E. V. Kharyutkina, “Variability of the Southern Hemisphere subtropical jet stream in the second half of the 20th century and early 21st century” Izv., Atmos. Ocean Phys. 54 (5), 430–438 (2018).
R. Hall, J. Jones, E. Hanna, A. Scaife, and R. Erdelyi, “Drivers and potential predictability of summer time North Atlantic polar front jet variability,” Clim. Dyn. 48, 3869–3887 (2017). https://doi.org/10.1007/s00382-016-3307-0
A. F. Nerushev, K. N. Visheratin, and R. V. Ivangorodsky, “Spatiotemporal variability of high-altitude jet streams from satellite measurements,” Izv., Atmos. Ocean Phys. 53 (9) 1076–1088 (2018).
J. A. Francis and S. J. Vavrus, “Evidence linking Arctic amplification to extreme weather in mid-latitudes,” Geophys. Res. Lett. 39 (6) (2012). https://doi.org/10.1029/2012GL051000
V. Petoukhov, S. Rahmstorf, S. Petri, and H. J. Schellnhuber, “Quasiresonant amplification of planetary waves and recent Northern Hemisphere weather extremes,” Proc. Natl. Acad. Sci. U. S. A. 110 (14), 5336–5341 (2013).
A. F. Nerushev, K. N. Visheratin, L. K. Kulizhnikova, and R. V. Ivangorodsky, “The relationship of surface air temperature anomalies with the characteristics of high-altitude jet streams,” Sovrem. Probl. Distantsionnogo Zondirovaniya Zemli Kosmosa 18 (1), 199–209 (2021).
A. F. Nerushev and E. K. Kramchaninova, “Method for determining atmospheric motion characteristics using measurements on geostationary meteorological satellites,” Izv., Atmos. Ocean Phys. 47 (9), 1104–1113 (2011).
R. V. Ivangorodsky and A. F. Nerushev, “Characteristics of the upper tropospheric jet fluxes inferred from the data of European geostationary meteorological satellites,” Sovrem. Probl. Distantsionnogo Zondirovaniya Zemli Kosmosa 11, No. 1, pp. 45–53 (2014).
A. F. Nerushev and R. V. Ivangorodsky, “Characteristics of high-altitude jet fluxes of the Northern and Southern hemispheres inferred from satellite data,” Sovrem. Probl. Distantsionnogo Zondirovaniya Zemli Kosmosa 14 (7), 299–307 (2017).
E. Kalnay, M. Kanamitsu, R. Kistler, W. Collins, D. Deaven, L. Gandin, S. Saha, G. White, J. Woollen, M. Chelliah, J. Janowiak, K. C. Mo, J. Wang, A. Leetmaa, R. Reynolds, R. Jenne, E. Kung, and D. Salstein, “The NCEP/NCAR Reanalysis 40-Year Project,” Bull. Am. Meteorol. Soc. 77, 437–471 (1996).
J. D. Scargle, “Studies in astronomical time series analysis. Statistical aspects of spectral analysis of unevenly spaced data,” Astrophys. J. 263, 835–853 (1982).
K. N. Visheratin, N. E. Kamenogradskii, F. V. Kashin, V. K. Semenov, V. P. Sinyakov, and L. I. Sorokina, “Spectral–temporal structure of variations in the atmospheric total ozone in central Eurasia,” Izv., Atmos. Ocean. Phys. 42 (2), 184–202 (2006).
K. N. Visheratin, “Interannual variations and trends in zonal mean series of total ozone, temperature, and zonal wind,” Izv., Atmos. Ocean. Phys. 43 (4), 461–479 (2007).
C. Torrence and G. P. Compo, “A practical guide to wavelet analysis,” Bull. Am. Meteorol. Soc. 79, 61–78 (1998).
ACKNOWLEDGMENTS
We thank colleagues from Research Center Planeta for providing satellite data to RPA Typhoon.
Funding
This work was supported by the Russian Foundation for Basic Research, grant no. 18-05-00831a.
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Translated by A. Ivanov
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Nerushev, A.F., Visheratin, K.N. & Ivangorodsky, R.V. Statistical Model of the Time Variability of the Characteristics of High-Altitude Jet Currents in the Northern Hemisphere Based on Satellite Measurements. Izv. Atmos. Ocean. Phys. 57, 354–364 (2021). https://doi.org/10.1134/S0001433821040198
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DOI: https://doi.org/10.1134/S0001433821040198