Models of general circulation of the atmosphere and oceans in forecasting changes in the regional climate of Ukraine in the 21st century.

For the first time quantitative characteristics of probable climate changes in Ukraine during the 21st century for three SRES emission scenarios B1, A1B and A2 have been obtained from an analysis of 84 runs of 10 Atmosphere-Ocean General Circulation Models (AOGCM) used for AR4 IPCC-2007. The analysi...

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Збережено в:
Бібліографічні деталі
Дата:2011
Автори: Krakovska, S. V., Palamarchuk, L. V., Shedenenko, I. P., Dukel, G. O., Gnatyuk, N. V.
Формат: Стаття
Мова:Українська
Опубліковано: S. Subbotin Institute of Geophysics of the NAS of Ukraine 2011
Онлайн доступ:https://journals.uran.ua/geofizicheskiy/article/view/116794
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Назва журналу:Geofizicheskiy Zhurnal

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Geofizicheskiy Zhurnal
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Резюме:For the first time quantitative characteristics of probable climate changes in Ukraine during the 21st century for three SRES emission scenarios B1, A1B and A2 have been obtained from an analysis of 84 runs of 10 Atmosphere-Ocean General Circulation Models (AOGCM) used for AR4 IPCC-2007. The analysis of AOGCM’s results has shown that projected differences of the averaged over the territory of Ukraine surface temperatures of the ending and the first decades of the 21st century will be in limits: B1 - from 0,7 to 3,0 °С with ensemble mean 2,0±0,8 °С; А1В - from 2,4 to 4,2 °С with mean 3,1±0,7 °С; and А2 - from 2,6 to 4,6 °С with mean 3,8±0,8 °С. There is not such an agreement for precipitation variations during the 21st century between AOGCMs, and precipita-tion changes vary from -23,4 to +11,6 % up to the end of the 21st century comparing to 2001-2010. Therefore, more detailed precipitation change projections for the territory of Ukraine could be made only with regional climate models. The most rapid changes of surface temperature and precipita-tion have been obtained in AOGCMs for А2 scenario, the slowest - for В1 respectively. The model ECHAM5/MPI-OM has been determined as the most successful AOGCM in simulation of climate of Ukraine because statistical analysis has shown that differences of its results with ensemble mean were minimal. Results of this model could be recommended as initial and boundary conditions for simulation of climate of Ukraine with regional climate models.