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INTERACTION

Financiado

Cloud cloud interaction in convective precipitation

"State-of-the-art simulations and observations highlight the self-organization of convective clouds. Our recent work shows two aspects: these clouds are capable of unexpected increase in extreme precipitation when temperature rise... ver más

30/04/2024

ZMT BREMEN

1M€

Presupuesto del proyecto: 1M€

Líder del proyecto

LEIBNIZZENTRUM FUR MARINE TROPENFORSCHUNG ZMT... No se ha especificado una descripción o un objeto social para esta compañía.

TRL 4-5

Ver 3 Participantes

Financiación concedida El organismo H2020 notifico la concesión del proyecto el día 2024-04-30

ERC-2017-COG: ERC Consolidator Grant

I+D

Cerrada hace 7 años

0% 100% 100%

3 Participantes

ZMT BREMEN

1.07M€ | Lider

HERA AMASA

504.78K€ | Participante

UCPH

241.22K€ | Participante

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Duración del proyecto: 75 meses Fecha Inicio: 2018-01-15
Fecha Fin: 2024-04-30

Líder del proyecto

LEIBNIZZENTRUM FUR MARINE TROPENFORSCHUNG ZMT... No se ha especificado una descripción o un objeto social para esta compañía.

TRL 4-5

Presupuesto del proyecto 1M€

Descripción del proyecto "State-of-the-art simulations and observations highlight the self-organization of convective clouds. Our recent work shows two aspects: these clouds are capable of unexpected increase in extreme precipitation when temperature rises; interactions between clouds produce the extremes. As clouds interact, they organize in space and carry a memory of past interaction and precipitation events. This evidence reveals a severe shortcoming of the conventional separation into ""forcing"" and ""feedback"" in climate model parameterizations, namely that the ""feedback"" develops a dynamics of its own, thus driving the extremes. The major scientific challenge tackled in INTERACTION is to make a ground-breaking departure from the established paradigm of ""quasi-equilibrium"" and instantaneous convective adjustment, traditionally used for parameterization of ""sub-grid-scale processes"" in general circulation models. To capture convective self-organization and extremes, the out-of-equilibrium cloud field must be described. In INTERACTION, I will produce a conceptual model for the out-of-equilibrium system of interacting clouds. Once triggered, clouds precipitate on a short timescale, but then relax in a ""recovery"" state where further precipitation is suppressed. Interaction with the surroundings occurs through cold pool outflow,facilitating the onset of new events in the wake. I will perform tailored numerical experiments using cutting-edge large-eddy simulations and very-high-resolution observational analysis to determine the effective interactions in the cloud system. Going beyond traditional forcing-and-feedback descriptions, I emphasize gradual self-organization with explicit temperature dependence. The list of key variables of atmospheric water vapor, temperature and precipitation must therefore be amended by variables describing organization. Capturing the self-organization of convection is essential for understanding of the risk of precipitation extremes today and in a future climate. "

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