Stratospheric influence on monthly-to-seasonal climate predictability
To improve the forecasting from monthly to seasonal timescales, Gaelle Ouzeau is looking for additional sources of long-range climate predictability and studying the stratosphere, the second major layer of Earth’s atmosphere. She will develop and test a seasonal forecasting system using both oceanic and stratospheric sources of climate memory, combined with dynamical and statistical tools. Her results may enable better prediction of extreme climate events, such as cold spells over Europe in the winter, which could be rougher in the coming decades.
My research focuses on stratospheric influence on Northern Hemisphere winter climate variability and predictability. In Northern extratropics, the wintertime climate shows large intraseasonal and interannual fluctuations compared to other regions and seasons. As experienced in Europe during the winter 2009-2010, cold spells induce particularly strong socio-economic impacts. Both statistical analysis and improvements in the predictability of such climate events are therefore crucial challenges for scientists and decision makers. Current dynamical seasonal forecasting systems, based on coupled ocean-atmosphere models, still show low predictability in Northern mid-latitudes. The main objective of the PhD is to look for additional sources of long-range climate predictability in the middle atmosphere and to propose simple statistical models for improving the prediction of stratospheric variability..
Centre National de Recherches Météorologiques
Groupe d'Etude de l'Atmosphère Météorologique (GAME)
Somewhere over the Troposphere
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