CAFE
Financiado
Climate Advanced Forecasting of sub seasonal Extremes
Climate extremes such as heat waves or tropical storms have huge social and economic impact. The forecasting of such extreme events at the sub-seasonal time scale (from 10 days to 3 months) is challenging. Since the atmosphere and...
Climate extremes such as heat waves or tropical storms have huge social and economic impact. The forecasting of such extreme events at the sub-seasonal time scale (from 10 days to 3 months) is challenging. Since the atmosphere and the ocean are coupled systems of enormous complexity, in order to advance sub-seasonal predictability of extreme events, it is crucial to train a new kind of interdisciplinary top-level researchers. CAFE research is structured in three WP: Atmospheric and oceanic processes, Extreme events and Tools for predictability, and brings together an interdisciplinary team of scientists. Objectives: Study of the relation between RWPs and the large scale environment, and the resulting limit of predictability; Statistical characterization of MJO events, dependence on climatic factors, and simple modelling to evaluate predictability; Development of diagnosis tools for identification and tracking of the MJO, blocking, waves and oceanic structures; Analysis of climatic changes in weather patterns and their relation with new climatic phenomena and extreme events in Europe; Estimation of probabilities for severe damages due to extreme events associated to ENSO; Validation of the hypothesis of cascades of extreme events and effects of a non-stationary climate; Estimation of exceedance probabilities for intensity of severe atmospheric events, including windstorms and hurricanes; Assessment of the response of extreme weather events for different levels of stabilized global warming and comparison with their response to internal modes of climate variability; Development of a procedure to improve the predictability of the onset of monsoon; Advanced statistical analysis of dynamic associations between SSS and extreme precipitation events; Study of predictability of large-scale atmospheric flow patterns over the Mediterranean connected to extreme weather; Systematic quantification of the predictability potential of a SWG of analogues of atmospheric circulation.
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Duración del proyecto: 54 meses
Fecha Inicio: 2018-08-20
Fecha Fin: 2023-02-28
Fecha Fin: 2023-02-28
Línea de financiación: concedida
El organismo H2020 notifico la concesión del proyecto el día 2023-02-28
Línea de financiación objetivo
El proyecto se financió a través de la siguiente ayuda:
MSCA-ITN-2018:
Innovative Training Networks
Cerrada
hace 6 años
Presupuesto
El presupuesto total del proyecto asciende a
3M€
Líder del proyecto
CONSORCI CENTRE DE RECERCA MATEMATICA
Otra investigación y desarrollo experimental en ciencias naturales y técnicas otros tipos
Perfil tecnológico
TRL
4-5
Perfil tecnológico
TRL
4-5
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Participante