Explore the words cloud of the INTERACTION project. It provides you a very rough idea of what is the project "INTERACTION" about.
The following table provides information about the project.
|Coordinator Country||Denmark [DK]|
|Total cost||1˙314˙800 €|
|EC max contribution||1˙314˙800 € (100%)|
1. H2020-EU.1.1. (EXCELLENT SCIENCE - European Research Council (ERC))
|Duration (year-month-day)||from 2018-07-01 to 2023-06-30|
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|1||KOBENHAVNS UNIVERSITET||DK (KOBENHAVN)||coordinator||1˙314˙800.00|
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.
|year||authors and title||journal||last update|
Olga Henneberg, Bettina Meyer, Jan O. Haerter
Particleâ€based tracking of cold pool gust fronts
published pages: , ISSN: 1942-2466, DOI: 10.1029/2019ms001910
|Journal of Advances in Modeling Earth Systems||2020-03-05|
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