CORDIS Project
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ASPIRE aims to enhance weather prediction for the subseasonal time scale of two weeks to two months by improving the understanding and forecasting of tropical convective variability. The project utilizes machine learning and advanced numerical modeling to address systematic errors in weather prediction and aims to prov…
The new frontier for weather prediction is the so-called subseasonal time scale of two weeks to two months ahead.
To take preventive measures at an early stage, reliable forecasts on this time scale are becoming increasingly important for multiple socio-economic sectors.
Subseasonal predictability can be gained from recurring patterns in the Earth system. ASPIRE will focus on one of these, namely modes of tropical convective variability.
Long-standing systematic errors due to the parametrization…
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Germany, Karlsruhe
Type: University / higher education
Activity type: Higher or Secondary Education Establishments
SME: No
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