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COAT SIGNED

Collapse Of Atmospheric Turbulence

Total Cost €

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EC-Contrib. €

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Partnership

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 COAT project word cloud

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

frequently    theory    interaction    foresees    methodology    realistic    maximum    assumptions    globe    ground    turbulent    arctic    collapse    weather    meteorological    nights    resolves    forecasting    transition    theoretical    data    combination    errors    motions    enforcing    dataset    mast    operates    interactions    made    completely    dynamics    direct    lies    climate    rely    combines    240    nocturnal    subgrid    predict    regions    validation    rans    turbulence    surface    classified    evening    composites    simulation    forecast    hypothesis    models    hierarchy    cessation    temperature    200m    sustainable    layer    generation    signatures    winter    sites    regimes    flux    heat    night    benchmark    continuous    respect    lower    literature    netherlands    dns    closure    survive    cold    basis    breaking    atmosphere    plays    situations    nature    les    underlying    incapable    technique    guide    dynamical    observational    explained    positive    numerical    prediction    generality    innovation    cabauw    feedback    innovative    boundary    smallest    fluxnet   

Project "COAT" data sheet

The following table provides information about the project.

Coordinator
TECHNISCHE UNIVERSITEIT DELFT 

Organization address
address: STEVINWEG 1
city: DELFT
postcode: 2628 CN
website: www.tudelft.nl

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 Netherlands [NL]
 Total cost 1˙659˙580 €
 EC max contribution 1˙659˙580 € (100%)
 Programme 1. H2020-EU.1.1. (EXCELLENT SCIENCE - European Research Council (ERC))
 Code Call ERC-2014-CoG
 Funding Scheme ERC-COG
 Starting year 2016
 Duration (year-month-day) from 2016-01-01   to  2020-12-31

 Partnership

Take a look of project's partnership.

# participants  country  role  EC contrib. [€] 
1    TECHNISCHE UNIVERSITEIT DELFT NL (DELFT) coordinator 1˙659˙580.00

Map

 Project objective

This project aims to predict the cessation of continuous turbulence in the evening boundary layer. The interaction between the lower atmosphere and the surface is studied in detail, as this plays a crucial role in the dynamics. Present generation forecasting models are incapable to predict whether or not turbulence will survive or collapse under cold conditions. In nature, both situations frequently occur and lead to completely different temperature signatures. As such, significant forecast errors are made, particularly in arctic regions and winter conditions. Therefore, prediction of turbulence collapse is highly relevant for weather and climate prediction. Key innovation lies in our hypothesis. The collapse of turbulence is explained from a maximum sustainable heat flux hypothesis which foresees in an enforcing positive feedback between the atmosphere and the underlying surface. A comprehensive theory for the transition between the main two nocturnal regimes would be ground-breaking in meteorological literature. We propose an integrated approach, which combines in-depth theoretical work, simulation with models of various hierarchy (DNS, LES, RANS), and observational analysis. Such comprehensive methodology is new with respect to the problem at hand. An innovative element is the usage of Direct Numerical Simulation in combination with dynamical surface interactions. This advanced technique fully resolves turbulent motions up to their smallest scale without the need to rely on subgrid closure assumptions. From a 10-year dataset (200m mast at Cabauw, Netherlands) nights are classified according to their turbulence characteristics. Multi-night composites are used as benchmark-cases to guide realistic numerical modelling. In the validation phase, generality of the results with respect to both climate and surface characteristics is assessed by comparison with the FLUXNET data-consortium, which operates on a long-term basis over 240 sites across the globe.

 Publications

year authors and title journal last update
List of publications.
2018 J. Antoon van Hooft, Stéphane Popinet, Bas J. H. van de Wiel
Adaptive Cartesian meshes for atmospheric single-column models: a study using Basilisk 18-02-16
published pages: 4727-4738, ISSN: 1991-9603, DOI: 10.5194/gmd-11-4727-2018
Geoscientific Model Development 11/12 2019-06-07
2018 J. Antoon van Hooft, Stéphane Popinet, Chiel C. van Heerwaarden, Steven J. A. van der Linden, Stephan R. de Roode, Bas J. H. van de Wiel
Towards Adaptive Grids for Atmospheric Boundary-Layer Simulations
published pages: 421-443, ISSN: 0006-8314, DOI: 10.1007/s10546-018-0335-9
Boundary-Layer Meteorology 167/3 2019-06-07
2018 P. Baas, B. J. H. van de Wiel, S. J. A. van der Linden, F. C. Bosveld
From Near-Neutral to Strongly Stratified: Adequately Modelling the Clear-Sky Nocturnal Boundary Layer at Cabauw
published pages: 217-238, ISSN: 0006-8314, DOI: 10.1007/s10546-017-0304-8
Boundary-Layer Meteorology 166/2 2019-06-07
2017 Etienne Vignon, Frédéric Hourdin, Christophe Genthon, Hubert Gallée, Eric Bazile, Marie-Pierre Lefebvre, Jean-Baptiste Madeleine, Bas J. H. Van de Wiel
Antarctic boundary layer parametrization in a general circulation model: 1-D simulations facing summer observations at Dome C
published pages: 6818-6843, ISSN: 2169-897X, DOI: 10.1002/2017JD026802
Journal of Geophysical Research: Atmospheres 122/13 2019-06-06

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The information about "COAT" are provided by the European Opendata Portal: CORDIS opendata.

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