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INTERACTION SIGNED

Cloud-cloud interaction in convective precipitation

Total Cost €

0

EC-Contrib. €

0

Partnership

0

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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.

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

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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