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Universal Thermal Climate Index (UTCI) in the Middle of the 21st Century According to Model Forecasts

https://doi.org/10.31857/S2658697525030066

Abstract

The Universal Thermal Climate Index (UTCI) was used to assess the bioclimatic conditions on the territory of Russia in the middle of the 21st century. Seasonal and regional features of the UTCI were studied under future climate conditions (2040–2059), for “soft” (SSP1-2.6) and “hard” (SSP5-8.5) scenarios. The BioKlima 2.6 software package was used to calculate average daily UTCI values. Daily data from three models participating in CMIP6 (Coupled Model Intercomparison Project) were used for the calculation: the Marchuk Institute of Numerical Mathematics RAS, the Met Office Hadley Centre and the Max Planck Institute for Meteorology. Cold stress conditions will continue to prevail on the territory of Russia under the future climate conditions for both scenarios. In winter (January), cold stress of various gradations will be observed in almost the whole territory. In summer (July), conditions without heat stress will be observed in most of Russia, and comfort in the south. The assessment of possible future changes in bioclimatic conditions in Russia in the middle of the 21st century (2040–2059) showed that for both scenarios there will be a noticeable trend towards a reduction in the number of days with severe cold stress and an increase in the number of days with heat stress in the south of the European territory and in the south and in center of Siberia, especially according to the SSP5-8.5 scenario. The percentage of days with the UTCI “no heat stress” gradation will increase over most of Russia. The emerging trends will contribute to the improvement of the bioclimate in the regions with the worst conditions, in the north and east of the country, and to the deterioration of conditions in the most favorable regions in the south, due to an increase in the number of days with heat stress.

About the Author

V. V. Vinogradova
Institute of Geography, Russian Academy of Sciences
Russian Federation

Moscow



References

1. Antonescu B., Mărmureanu L., Vasilescu J., Marin C., Andrei S., Boldeanu M., Ene D., Ţilea A. A 41-year bioclimatology of thermal stress in Europe. Int. J. Climatol., 2021, vol. 41, pp. 3934–3952.

2. Błażejczyk K., Błażejczyk A. Assessment of bioclimatic variability on regional and local scales in central Europe using UTCI. Sci. Annals Alexandru Ioan Cuza Univ. IAŞI Geogr. Ser., 2014, vol. 60, no. 1, pp. 67–82.

3. Błażejczyk K., Kunert A. Bioklimatyczne uwarunkowania rekreacji i turystyki w Polsce [Bioclimatic Principles of Recreation and Tourism in Poland]. Warszawa: IGiPZ PAN, 2011. 366 p.

4. Błażejczyk K., Broede P., Fiala D., Havenith G., Holmér I., Jendritzky G., Kampmann B., Kunert A. Principles of the new Universal Thermal Climate Index (UTCI) and its application to bioclimatic research in European scale. Misc. Geogr., 2010, no. 14, pp. 91–102.

5. Błażejczyk K., Jendritzky G., Bröde P., Fiala D., Havenith G., Epstein Y., Psikuta A., Kampmann B. An introduction to the Universal Thermal Climate Index (UTCI). Geogr. Pol., 2013, vol. 86, no. 1, pp. 5–10.

6. Boko N.P., Vissin E., Houssou S., Błażejczyk K. Application de l’indice universel de charge thermique dans le contexte africain: exemple de Cotonou (republique du Benin). In XXVIème colloque de l’Association Internationale de Climatologie, 2013, pp. 105–109. (In French).

7. Bröde P., Jendritzky G., Fiala D., Havenith G. The universal thermal climate index UTCI in operational use. In Proc. of conference. Adapting to change: New thinking on comfort. Cumberland Lodge, Windsor, 2010.

8. Bröde P., Fiala D., Błażejczyk K., Holmér I., Jendritzky G., Kampmann B., et al. Deriving the operational procedure for the universal thermal climate index (UTCI). Int. J. Biometeorol., 2012, vol. 56, no. 3, pp. 481–494. https://doi.org/10.1007/s00484-011-0454-1

9. de Freitas C.R., Grigorieva E.A. A comparison and appraisal of a comprehensive range of human thermal climate indices. Int. J. Biometeorol., 2017, vol. 61, pp. 487–512. https://doi.org/10.1007/s00484-016-1228-6

10. di Napoli C., Pappenberger F., Cloke H.L. Assessing heatrelated health risk in Europe via the Universal Thermal Climate Index (UTCI). Int. J. Biometeorol., 2018, vol. 62, pp. 1155–1165. https://doi.org/10.1007/s00484-018-1518-2

11. Fiala D., Havenith G., Bröde P., Kampmann B., Jendritzky G. UTCI Fiala multinode model human heat transfer and thermal comfort. Int. J. Biometeorol., 2012, vol. 56, pp. 429–441.

12. Founda D., Pierros F., Katavoutas G., Keramitsoglou I. Observed trends in thermal stress at European cities with different background climates. Atmosphere, 2019, vol. 10, no. 8, art. 436. https://doi.org/10.3390/atmos10080436

13. Grigorieva E.A., Alexeev V.A., Walsh J.E. Universal thermal climate index in the Arctic in an era of climate change: Alaska and Chukotka as a case study. Int. J. Biometeorol., 2023, vol. 67, pp. 1703–1721. https://doi.org/10.1007/s00484-023-02531-2

14. Guerreiro S.B., Dawson R.J., Kilsby C., Lewis E., Ford A. Future heat-waves, droughts and floods in 571 European cities. Environ. Res. Lett., 2018, vol. 13, art. 034009. https://doi.org/10.1088/1748-9326/aaaad3

15. Havenith G., Fiala D., Błazejczyk K., Richards M., Bröde P., Holmér I., Rintamaki H., Benshabat Y., Jendritzky G. The UTCI-clothing model. Int. J. Biometeorol., 2012, vol. 56, pp. 461–470. https://doi.org/10.1007/s00484-011-0451-4

16. IPCC 2021. Summary for Policymakers. In Climate Change 2021: The Physical Science Basis. Contribution of Working Group I to the Sixth Assessment Report of the Intergovernmental Panel on Climate Change. Masson-Delmotte V., Zhai P., Pirani A., Connors S.L., Péan C., Berger S., Caud N., Chen Y., Goldfarb L., Gomis M.I., Huang M., Leitzell K., Lonnoy E., Matthews J.B.R., Maycock T.K., Waterfield T., Yelekçi O., Yu R.. Zhou B., Eds. Cambridge, New York: CUP, 2021, pp. 3−32.

17. Jendritzky G., de Dear R., Havenith G. UTCI – why another thermal index? Int. J. Biometeorol., 2012, vol. 56, no. 3, pp. 421–428.

18. Katavoutas G., Founda D., Varotsos K.V., Giannakopoulos Ch. Climate change impacts on thermal stress in four climatically diverse European cities. Int. J. Biometeorol., 2022, vol. 66, pp. 2339–2355. https://doi.org/10.1007/s00484-022-02361-8

19. Mauritsen T., Roeckner E. Tuning the MPI-ESM1.2 Global Climate Model to improve the match with instrumental record warming by lowering its climate sensitivity. JAMES, 2020, vol. 12, no. 5, art. e2019MS002037. https://doi.org/10.1029/2019MS002037

20. Pappenberger F., Hannah L.C. Assessing heat-related health risk in Europe via the Universal Thermal Climate Index (UTCI). Int. J. Biometeorol., 2018, vol. 62, pp. 1155–1165. https://doi.org/10.1007/s00484-018-1518-2

21. Pappenberger F., Jendritzky G., Staiger H., Dutra E., di Giuseppe F., Richardson D.S., et al. Global forecasting of thermal health hazards: The skill of probabilistic predictions of the Universal Thermal Climate Index (UTCI). Int. J. Biometeorol., 2015, vol. 59, no. 3, pp. 311– 323. http://doi.org/10.1007/s00484-014-0843-3

22. Towards a Universal Thermal Climate Index UTCI for assessing the thermal environment of the human being. Final Report COSTAction 730. Jendritzky G., Havenith G, Weihs P., Batchvarova E., Eds. Brussel, 2009.

23. Tretii otsenochnyi doklad ob izmeneniyakh klimata i ikh posledstviyakh na territorii Rossiiskoi Federatsii [Third Assessment Report on Climate Change and Its Consequences on the Territory of the Russian Federation]. St. Petersburg: Naukoemkie technologii Publ., 2022. 676 p.

24. Vinogradova V.V. Universal index of thermal comfort on the territory of Russia. Izv. Akad. Nauk, Ser. Geogr., 2019, no. 2, pp. 3–19. (In Russ.).

25. Vinogradova V.V. Using the Universal Thermal Climate Index UTCI) for the assessment of bioclimatic conditions in Russia. Int. J. Biometeorol., 2021, vol. 65, pp. 1473–1483. https://doi.org/10.1007/s00484-020-01901-4

26. Volodin E.M., Mortikov E.V., Kostrykin S.V., Galin B.Ya., Lykosov V.N., Gritsun A.S., Diansky N.A., Gusev A.V., Yakovlev N.G. Reproduction of modern climate in a new version of the climate system model of the INM RAS. Izv. Akad. Nauk, Ser. Fizika Atm. Okeana, 2017, vol. 53, no. 2. pp. 164–178. (In Russ.).

27. Staiger H., Laschewski G., Matzarakis A. Selection of appropriate thermal indices for applications in human biometeorological studies. Atmosphere, 2019, vol. 10, pp. 18. https://doi.org/10.3390/atmos10010018

28. Williams K.D., Copsey D., Blockley E.W., BodasSalcedo A., Calvert D., Comer R., Davis P., Graham T., Hewitt H.T., Hill R., Hyder P., Ineson S., et al. The Met Office Global Coupled Model 3.0 and 3.1 (GC3.0 and GC3.1) Configurations. JAMES, 2017. https://doi.org/10.1002/2017MS001115

29. WMO. State of the Global Climate 2020 WMO. No. 1264. WMO, 2021. 56 p.


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For citations:


Vinogradova V.V. Universal Thermal Climate Index (UTCI) in the Middle of the 21st Century According to Model Forecasts. Izvestiya Rossiiskoi Akademii Nauk. Seriya Geograficheskaya. 2025;89(3):406-419. (In Russ.) https://doi.org/10.31857/S2658697525030066

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