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INTERACTION SIGNED

Cloud-cloud interaction in convective precipitation

Total Cost €

0

EC-Contrib. €

0

Partnership

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 INTERACTION project word cloud

Explore the words cloud of the INTERACTION project. It provides you a very rough idea of what is the project "INTERACTION" about.

amended    observations    outflow    clouds    space    self    resolution    emphasize    suppressed    variables    convection    carry    cold    feedback    capture    interact    simulations    shortcoming    extremes    temperature    triggered    pool    paradigm    equilibrium    dependence    shows    adjustment    model    models    precipitate    conventional    forcing    experiments    parameterizations    rises    scientific    capturing    cutting    organization    vapor    parameterization    circulation    quasi    interacting    memory    tackled    convective    interaction    perform    state    onset    reveals    develops    conceptual    departure    describing    relax    driving    dynamics    interactions    list    ground    breaking    risk    extreme    wake    climate    once    events    timescale    atmospheric    severe    occurs    cloud    organize    precipitation    recovery    gradual    eddy    water    edge    sub    explicit    numerical    instantaneous    grid    unexpected    separation    surroundings    descriptions    highlight    observational   

Project "INTERACTION" data sheet

The following table provides information about the project.

Coordinator
KOBENHAVNS UNIVERSITET 

Organization address
address: NORREGADE 10
city: KOBENHAVN
postcode: 1165
website: www.ku.dk

contact info
title: n.a.
name: n.a.
surname: n.a.
function: n.a.
email: n.a.
telephone: n.a.
fax: n.a.

 Coordinator Country Denmark [DK]
 Total cost 1˙314˙800 €
 EC max contribution 1˙314˙800 € (100%)
 Programme 1. H2020-EU.1.1. (EXCELLENT SCIENCE - European Research Council (ERC))
 Code Call ERC-2017-COG
 Funding Scheme ERC-COG
 Starting year 2018
 Duration (year-month-day) from 2018-07-01   to  2023-06-30

 Partnership

Take a look of project's partnership.

# participants  country  role  EC contrib. [€] 
1    KOBENHAVNS UNIVERSITET DK (KOBENHAVN) coordinator 1˙314˙800.00

Map

 Project objective

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.

 Publications

year authors and title journal last update
List of publications.
2020 Olga Henneberg, Bettina Meyer, Jan O. Haerter
Particle‐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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