Jobs:Job-00919
Apply before: 20 May 2019
Posting:
Position: 12 PhD Positions
Apply before: 20 May 2019
Apply online:
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The ultimate goal of the CAFE project is to improve the sub-seasonal predictability of extreme weather events through the interdisciplinary training of 12 ESRs in aspects such as climate science, complex networks and data analysis. Climate extremes such as heat waves, drought, extreme precipitation or cold surges have huge social and economic impacts that are expected to increase with climate change. Forecasting of such extreme events on the sub-seasonal time scale (from 10 days to about 3 months) is very challenging because of the poor understanding of phenomena that may increase predictability at this time scale, such as the Madden-Julian Oscillation, planetary waves and atmospheric blockings. Reliable sub-seasonal climate information is of great importance, allowing for early warnings and adequate mitigation strategies. The World Meteorological Organization World Weather Research Programme and World Climate Research Programme acknowledge the importance of sub-seasonal forecasts by running the Sub-seasonal to Seasonal Project.