Explore the words cloud of the C2Phase project. It provides you a very rough idea of what is the project "C2Phase" about.
The following table provides information about the project.
Coordinator |
KARLSRUHER INSTITUT FUER TECHNOLOGIE
Organization address contact info |
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.
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1 | KARLSRUHER INSTITUT FUER TECHNOLOGIE | DE (KARLSRUHE) | coordinator | 1˙499˙548.00 |
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.
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 |
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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 Mixedâ€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 Aerosolâ€Cloudâ€Precipitation Interactions in the Context of Convective Selfâ€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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