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MC2 SIGNED

Mixed-phase clouds and climate (MC2) – from process-level understanding to large-scale impacts

Total Cost €

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EC-Contrib. €

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Partnership

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Project "MC2" data sheet

The following table provides information about the project.

Coordinator
UNIVERSITETET I OSLO 

Organization address
address: PROBLEMVEIEN 5-7
city: OSLO
postcode: 313
website: www.uio.no

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 Norway [NO]
 Total cost 1˙500˙000 €
 EC max contribution 1˙500˙000 € (100%)
 Programme 1. H2020-EU.1.1. (EXCELLENT SCIENCE - European Research Council (ERC))
 Code Call ERC-2017-STG
 Funding Scheme ERC-STG
 Starting year 2018
 Duration (year-month-day) from 2018-03-01   to  2023-02-28

 Partnership

Take a look of project's partnership.

# participants  country  role  EC contrib. [€] 
1    UNIVERSITETET I OSLO NO (OSLO) coordinator 1˙500˙000.00

Map

 Project objective

The importance of mixed-phase clouds (i.e. clouds in which liquid and ice may co-exist) for weather and climate has become increasingly evident in recent years. We now know that a majority of the precipitation reaching Earth’s surface originates from mixed-phase clouds, and the way cloud phase changes under global warming has emerged as a critically important climate feedback. Atmospheric aerosols may also have affected climate via mixed-phase clouds, but the magnitude and even sign of this effect is currently unknown. Satellite observations have recently revealed that cloud phase is misrepresented in global climate models (GCMs), suggesting systematic GCM biases in precipitation formation and cloud-climate feedbacks. Such biases give us reason to doubt GCM projections of the climate response to CO2 increases, or to changing atmospheric aerosol loadings. This proposal seeks to address the above issues, through a multi-angle and multi-tool approach: (i) By conducting field measurements of cloud phase at mid- and high latitudes, we seek to identify the small-scale structure of mixed-phase clouds. (ii) Large-eddy simulations will then be employed to identify the underlying physics responsible for the observed structures, and the field measurements will provide case studies for regional cloud-resolving modelling in order to test and revise state-of-the-art cloud microphysics parameterizations. (iii) GCMs, with revised microphysics parameterizations, will be confronted with cloud phase constraints available from space. (iv) Finally, the same GCMs will be used to re-evaluate the climate impact of mixed-phase clouds in terms of their contribution to climate forcings and feedbacks. Through this synergistic combination of tools for a multi-scale study of mixed-phase clouds, the proposed research has the potential to bring the field of climate science forward, from improved process-level understanding at small scales, to better climate change predictions on the global scale.

 Publications

year authors and title journal last update
List of publications.
2019 R. L. Li, T. Storelvmo, A. V. Fedorov, Y.-S. Choi
A Positive Iris Feedback: Insights from Climate Simulations with Temperature-Sensitive Cloud–Rain Conversion
published pages: 5305-5324, ISSN: 0894-8755, DOI: 10.1175/jcli-d-18-0845.1
Journal of Climate 32/16 2019-10-31
2019 Simon Gruber, Ulrich Blahak, Florian Haenel, Christoph Kottmeier, Thomas Leisner, Harel Muskatel, Trude Storelvmo, Bernhard Vogel
A Process Study on Thinning of Arctic Winter Cirrus Clouds With High‐Resolution ICON‐ART Simulations
published pages: , ISSN: 2169-897X, DOI: 10.1029/2018jd029815
Journal of Geophysical Research: Atmospheres 2019-10-31
2018 Azusa Takeishi, Trude Storelvmo
A Study of Enhanced Heterogeneous Ice Nucleation in Simulated Deep Convective Clouds Observed During DC3
published pages: , ISSN: 2169-897X, DOI: 10.1029/2018jd028889
Journal of Geophysical Research: Atmospheres 123/23 2019-10-31
2018 Trude Storelvmo, Ulla K. Heede, Thomas Leirvik, Peter C. B. Phillips, Philipp Arndt, Martin Wild
Lethargic Response to Aerosol Emissions in Current Climate Models
published pages: 9814-9823, ISSN: 0094-8276, DOI: 10.1029/2018gl078298
Geophysical Research Letters 45/18 2019-10-31
2019 Ivy Tan, Trude Storelvmo
Evidence of Strong Contributions From Mixed‐Phase Clouds to Arctic Climate Change
published pages: 2894-2902, ISSN: 0094-8276, DOI: 10.1029/2018gl081871
Geophysical Research Letters 46/5 2019-10-31

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