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COGNAC

Readdressing Convective-Surface Interaction in Global Climate Models

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EC-Contrib. €

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Partnership

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Project "COGNAC" data sheet

The following table provides information about the project.

Coordinator
CENTRE NATIONAL DE LA RECHERCHE SCIENTIFIQUE CNRS 

Organization address
address: RUE MICHEL ANGE 3
city: PARIS
postcode: 75794
website: www.cnrs.fr

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 France [FR]
 Project website http://sansone.to.isac.cnr.it/cognac/
 Total cost 173˙076 €
 EC max contribution 173˙076 € (100%)
 Programme 1. H2020-EU.1.3.2. (Nurturing excellence by means of cross-border and cross-sector mobility)
 Code Call H2020-MSCA-IF-2014
 Funding Scheme MSCA-IF-EF-ST
 Starting year 2015
 Duration (year-month-day) from 2015-10-01   to  2017-09-30

 Partnership

Take a look of project's partnership.

# participants  country  role  EC contrib. [€] 
1    CENTRE NATIONAL DE LA RECHERCHE SCIENTIFIQUE CNRS FR (PARIS) coordinator 173˙076.00

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 Project objective

A large part of our knowledge on climate change is provided by the usage of coupled atmospheric-ocean Global Climate Models (GCMs), which produce numerical simulations of the Earth’s climate system for both the present and the future. However, state-of-the-art GCMs show considerable systematic errors: they are limited by low spatial resolutions and by the problematic representation of many physical processes. In particular, one of the largest sources of uncertainty is associated with the coupling between the atmospheric circulation and the water cycle. COGNAC is conceived as a fundamental theoretical project framed in this context. It aims at readdressing the representation of moist convection, clouds and precipitation and their interaction with the surface and the soil in GCMs. A recently developed theoretical framework capable of treating in a unified way the soil, the Planetary Boundary Layer (PBL), clouds, and both shallow and deep convection will be used. Such model - the Probabilistic Plume Model, PPM - is capable to represent the whole atmospheric column (from the PBL to the tropopause) with results comparable to Large Eddies Simulations and with a minor numerical cost. COGNAC aims at improving and refining the PPM and integrating it into two models, the LMDz GCM and the EC-Earth GCM, in the form a new unified parameterization. First evaluation will be carried out on Single Column Models, and hence extended to the full 3D case. Once operational, these new GCM configurations will provide a powerful tool to study complex interactions among surface, PBL and moist convection, as the ones occurring in the Sahel, the Amazon Rainforest or the Mediterranean region. These advancements will have notable potential for improving the representation, the forecast and the evaluation of the future changes of large-impact hydro-meteorological events.

 Publications

year authors and title journal last update
List of publications.
2017 Paolo Davini, Fabio D’Andrea, Seung-Bu Park, Pierre Gentine
Coherent structures in large-eddy simulations of a non-precipitating stratocumulus-topped boundary layer
published pages: , ISSN: 0022-4928, DOI: 10.1175/JAS-D-17-0050.1
Journal of the Atmospheric Sciences 2019-06-13
2016 C. Prodhomme, L. Batté, F. Massonnet, P. Davini, O. Bellprat, V. Guemas, F. J. Doblas-Reyes
Benefits of Increasing the Model Resolution for the Seasonal Forecast Quality in EC-Earth
published pages: 9141-9162, ISSN: 0894-8755, DOI: 10.1175/JCLI-D-16-0117.1
Journal of Climate 29/24 2019-06-13
2016 Paolo Davini, Fabio D’Andrea
Northern Hemisphere Atmospheric Blocking Representation in Global Climate Models: Twenty Years of Improvements?
published pages: 8823-8840, ISSN: 0894-8755, DOI: 10.1175/JCLI-D-16-0242.1
Journal of Climate 29/24 2019-06-13
2017 Daniel Mitchell, Paolo Davini, Ben Harvey, Neil Massey, Karsten Haustein, Tim Woollings, Richard Jones, Fredi Otto, Benoit Guillod, Sarah Sparrow, David Wallom, Myles Allen
Assessing mid-latitude dynamics in extreme event attribution systems
published pages: 3889-3901, ISSN: 0930-7575, DOI: 10.1007/s00382-016-3308-z
Climate Dynamics 48/11-12 2019-06-13

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