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Bayesian Estimates of the Snow Cover Extent in Eurasia in the 21st Century Based on the Calculations with the CMIP6 Ensemble of Climate Models

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Abstract

Based on the results of calculations with the CMIP6 ensemble of global climate models, quantitative estimates of changes in the snow cover extent (SCE) in Eurasia in the 21st century are obtained under SSP2-4.5 and SSP5-8.5 scenarios of anthropogenic impacts using the Bayesian approach. The contribution (weight) of the models to the overall ensemble estimates has been determined by the accuracy of reproduction of the long-term average, trend, and interannual variability of the SCE in Eurasia from satellite data. The largest intermodel variations in the estimates, increasing during the summer and fall months, are associated with the reproduction of the trend component and interannual variability (variance) of the SCE in Eurasia, as well as with equal-weighted averaging. It is shown that, when Bayesian weights are used, the uncertainty of snow cover area estimates can be halved compared to the ensemble average with model weights being equal. The ensemble estimates of the SCE obtained by using combined Bayesian weights exceed the corresponding estimates during equal-weighted averaging.

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REFERENCES

  1. M. I. Budyko, Climate in the Past and Future (Gidrometeoizdat, Leningrad, 1980) [in Russian].

    Google Scholar 

  2. I. I. Mokhov, Diagnostics of Climate System Structure (Gidrometeoizdat, St. Petersburg, 1993) [in Russian].

    Google Scholar 

  3. A. V. Kislov, Climate in the Past, Present and Future (Nauka, Moscow, 2001) [in Russian].

    Google Scholar 

  4. R. Barry and T. Y. Gan, The Global Cryosphere: Past, Present and Future (Cambridge Univ. Press, New York, 2011).

    Book  Google Scholar 

  5. I. I. Mokhov, Dokl. Earth Sci. 455 (2), 459–463 (2014).

    Article  CAS  Google Scholar 

  6. M. R. McCrystall, J. Stroeve, M. Serreze, B. C. Forbes, and J. Screen, Nat. Commun. 12, 6765–6777 (2021).

    Article  CAS  Google Scholar 

  7. K. J. Bormann, R. D. Brown, C. Derksen, and T. H. Painter, Nat. Clim. Change 8, 924–928 (2018).

    Article  Google Scholar 

  8. X. Zhu, S.-Y. Lee, X. Wen, Z. Wei, Z. Ji, Z. Zheng, and W. Dong, Environ. Res. Lett. 16, 065013 (2021).

    Article  Google Scholar 

  9. D. A. Robinson, T. W. Estilow, and NOAA CDR Program, NOAA Climate Data Record (CDR) of Northern Hemisphere (NH) Snow Cover Extent (SCE), Version 1 (NOAA National Centers for Environmental Information, 2021). https://doi.org/10.7289/V5N014G9

  10. H. Hersbach, D. Bell, P. Berrisford, S. Hirahara, A. Horanyi, J. Munoz-Sabater, J. Nicolas, C. Peubey, R. Radu, D. Schepers, A. Simmons, C. Soci, S. Abdalla, X. Abellan, G. Balsamo, P. Bechtold, G. Biavati, J. Bidlot, M. Bonavita, G. De Chiara, P. Dahlgren, D. Dee, M. Diamantakis, R. Dragani, J. Flemming, R. Forbes, M. Fuentes, A. Geer, L. Haimberger, S. Healy, R. J. Hogan, E. Hólm, M. Janiskova, S. Keeley, P. Laloyaux, P. Lopez, C. Lupu, G. Radnoti, P. de Rosnay, I. Rozum, F. Vamborg, S. Villaume, and J.-N. Thepaut, Q. J. R. Meteorol. Soc. A 146 (730), 1999–2049 (2020).

    Article  Google Scholar 

  11. I. I. Mokhov and M. R. Parfenova, Izv., Atmos. Oceanic Phys. 58 (4), 353–364 (2022).

    Article  Google Scholar 

  12. M. R. Parfenova, M. M. Arzhanov, and I. I. Mokhov, Izv., Atmos. Oceanic Phys. 59 (3), 255–264 (2023).

    Article  Google Scholar 

  13. R. D. Brown and C. Derksen, Environ. Res. Lett. 8 (2), 1–7 (2013).

    Google Scholar 

  14. M. Santolaria-Otin and O. Zolina, Clim. Dyn. 55, 2993–3016 (2020).

    Article  Google Scholar 

  15. L. R. Mudryk, P. J. Kushner, C. Derksen, and C. Thackeray, Geophys. Rev. Lett. 44, 919–926 (2017).

    Article  Google Scholar 

  16. A. V. Eliseev, Izv., Atmos. Oceanic Phys. 47 (2), 131–154 (2011).

    Article  Google Scholar 

  17. M. M. Arzhanov, A. V. Eliseev, and I. I. Mokhov, Global Planet. Change 86–87, 57–65 (2012).

    Article  Google Scholar 

  18. A. S. Lipavskii, A. V. Eliseev, and I. I. Mokhov, Russ. Meteorol. Hydrol. 47 (5), 370–385 (2022).

    Article  Google Scholar 

  19. M. R. Parfenova, A. V. Eliseev, and I. I. Mokhov, Dokl. Earth Sci. 507 (1), 952–959 (2022).

    Article  CAS  Google Scholar 

  20. F. Lehner, C. Deser, N. Maher, J. Marotzke, E. M. Fischer, L. Brunner, R. Knutti, and E. Hawkins, Earth Syst. Dyn. 11 (2), 491–508 (2020).

    Article  Google Scholar 

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Funding

This work was supported by the Russian Science Foundation, project no. 19-17-00240, using the results obtained under agreement no. 075-15-2021-577 between the Ministry of Science and Higher Education of the Russian Federation and Obukhov Institute of Atmospheric Physics, Russian Academy of Sciences. The statistical data analysis was supported by the Russian Science Foundation, project no. 23-47-00104.

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Correspondence to M. M. Arzhanov.

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Translated by L. Mukhortova

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Arzhanov, M.M., Mokhov, I.I. & Parfenova, M.R. Bayesian Estimates of the Snow Cover Extent in Eurasia in the 21st Century Based on the Calculations with the CMIP6 Ensemble of Climate Models. Dokl. Earth Sc. 514, 131–139 (2024). https://doi.org/10.1134/S1028334X23602547

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  • DOI: https://doi.org/10.1134/S1028334X23602547

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