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Closure of the Cloud Phase

Total Cost €


EC-Contrib. €






Project "C2Phase" data sheet

The following table provides information about the project.


Organization address
postcode: 76131

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 Germany [DE]
 Total cost 1˙499˙548 €
 EC max contribution 1˙499˙548 € (100%)
 Programme 1. H2020-EU.1.1. (EXCELLENT SCIENCE - European Research Council (ERC))
 Code Call ERC-2016-STG
 Funding Scheme ERC-STG
 Starting year 2017
 Duration (year-month-day) from 2017-04-01   to  2022-03-31


Take a look of project's partnership.

# participants  country  role  EC contrib. [€] 


 Project objective

Whether and where clouds consist of liquid water, ice or both (i.e. their thermodynamic phase distribution), has major impacts on the clouds’ dynamical development, their radiative properties, their efficiency to form precipitation, and their impacts on the atmospheric environment. Cloud ice formation in the temperature range between 0 and -37°C is initiated by aerosol particles acting as heterogeneous ice nuclei and propagates through the cloud via a multitude of microphysical processes. Enormous progress has been made in recent years concerning the understanding and model parameterization of primary ice formation. In addition, high-resolution atmospheric models with complex cloud microphysics schemes can now be employed for realistic case studies of clouds. Finally, new retrieval schemes for the cloud (top) phase have recently been developed for various satellites, including passive polar orbiting and geostationary sensors, which provide a good spatial and temporal coverage and a long data record.

We propose here to merge the bottom-up, forward modeling approach for the cloud phase distribution with the top-down view of satellites. C2Phase will conduct systematic closure studies for variables related to the cloud phase distribution such as the cloud ice area fraction, its distribution as function of temperature and its temporal evolution, with a focus on Europe. For this, we will (1) use clustering techniques to separate different cloud regimes in model and satellite data, (2) explore the parameters and processes which the simulated phase distribution is most sensitive to, (3) investigate whether closure is reached between state-of-the art cloud resolving models and satellite observations, and how this closure can be improved by consistent and physically justified changes in microphysical parameterizations, and (4) use our results to improve the representation of mixed-phase clouds in weather and climate models and to quantify the impacts of these improvements.


List of deliverables.
Open Research Data Pilot Open Research Data Pilot 2019-06-06 15:57:12

Take a look to the deliverables list in detail:  detailed list of C2Phase deliverables.


year authors and title journal last update
List of publications.
2019 Maiken Vassel, Luisa Ickes, Marion Maturilli, Corinna Hoose
Classification of Arctic multilayer clouds using radiosonde and radar data in Svalbard
published pages: 5111-5126, ISSN: 1680-7316, DOI: 10.5194/acp-19-5111-2019
Atmospheric Chemistry and Physics 19/7 2019-12-16
2019 Q. Coopman, C. Hoose, M. Stengel
Detection of Mixed‐Phase Convective Clouds by a Binary Phase Information From the Passive Geostationary Instrument SEVIRI
published pages: 5045-5057, ISSN: 2169-8996, DOI: 10.1029/2018jd029772
Journal of Geophysical Research: Atmospheres 124/9 2019-06-07
2019 H. Beydoun, C. Hoose
Aerosol‐Cloud‐Precipitation Interactions in the Context of Convective Self‐Aggregation
published pages: 1066-1087, ISSN: 1942-2466, DOI: 10.1029/2018ms001523
Journal of Advances in Modeling Earth Systems 11/4 2019-06-07
2018 Michael Schäfer, Katharina Loewe, André Ehrlich, Corinna Hoose, Manfred Wendisch
Simulated and observed horizontal inhomogeneities of optical thickness of Arctic stratus
published pages: 13115-13133, ISSN: 1680-7316, DOI: 10.5194/acp-18-13115-2018
Atmospheric Chemistry and Physics 18/17 2019-04-18
2018 Robin G. Stevens, Katharina Loewe, Christopher Dearden, Antonios Dimitrelos, Anna Possner, Gesa K. Eirund, Tomi Raatikainen, Adrian A. Hill, Benjamin J. Shipway, Jonathan Wilkinson, Sami Romakkaniemi, Juha Tonttila, Ari Laaksonen, Hannele Korhonen, Paul Connolly, Ulrike Lohmann, Corinna Hoose, Annica M. L. Ekman, Ken S. Carslaw, Paul R. Field
A model intercomparison of CCN-limited tenuous clouds in the high Arctic
published pages: 11041-11071, ISSN: 1680-7316, DOI: 10.5194/acp-18-11041-2018
Atmospheric Chemistry and Physics 18/15 2019-04-18
2018 C. Hoose, M. Karrer, C. Barthlott
Cloud Top Phase Distributions of Simulated Deep Convective Clouds
published pages: 10,464-10,476, ISSN: 2169-897X, DOI: 10.1029/2018JD028381
Journal of Geophysical Research: Atmospheres 123/18 2019-04-18

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