Innovating Works

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... "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. " ver más
30/04/2024
ZMT BREMEN
1M€
Duración del proyecto: 75 meses Fecha Inicio: 2018-01-15
Fecha Fin: 2024-04-30

Línea de financiación: concedida

El organismo H2020 notifico la concesión del proyecto el día 2024-04-30
Línea de financiación objetivo El proyecto se financió a través de la siguiente ayuda:
ERC-2017-COG: ERC Consolidator Grant
Cerrada hace 7 años
Presupuesto El presupuesto total del proyecto asciende a 1M€
Líder del proyecto
LEIBNIZZENTRUM FUR MARINE TROPENFORSCHUNG ZMT... No se ha especificado una descripción o un objeto social para esta compañía.
Perfil tecnológico TRL 4-5