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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.

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

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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