Project description
Better climate research and weather predictions
Our world is in transition, heading towards a post-fossil reality. However, the dance between aerosols and clouds emerges as a pivotal climate challenge. Aerosol-cloud interactions (ACI) stand as the largest source of uncertainty in climate projections, casting a shadow on our ability to foresee environmental changes accurately. This shift to reduced anthropogenic aerosol emissions, coupled with escalating impacts from natural aerosols, adds a new level of complexity to the climate puzzle. In response to this pressing issue, the EU-funded CleanCloud project emerges as a beacon of scientific innovation, dedicated to unravelling the mysteries of ACI and fortifying our understanding of climate dynamics in an ever-changing world.
Objective
Aerosol-cloud interactions (ACI) remain the largest source of uncertainty in past, present, and future radiative forcing, impeding credible climate projections. ACI effects are expected to change dramatically as we enter a post-fossil world, characterized by strong reductions in anthropogenic aerosol emissions but with increasingly larger impacts from natural aerosols. Although we expect cleaner clouds compared to today, ACI in this post-fossil state may considerably differ from preindustrial conditions, owing to shifts in climate and changes in sources region characteristics. CleanCloud will address the major gaps impeding robust ACI assessments, improve their representation in current and next generation kilometer-scale climate models , quantify and understand their regional and temporal effects, and how they will evolve in the transition to the post-fossil regime. To accomplish this, CleanCloud will 1) carry out targeted field experiments in European climate hotspots; 2) develop state-of-the-art algorithms and analysis tools to obtain new proxies and diagnostics for key ACI-related processes; 3) contribute to the calibration and validation of upcoming satellite missions in coordination with the satellite community; 4) improve and better constrain kilometer- and large-scale climate models using advanced machine learning, data assimilation and model calibration, confronting perturbed physics ensembles with existing and new satellite and in-situ data; and 5) assess the role of aerosols in the life cycle of convective systems, focusing on precipitation formation and the impacts on the hydrological cycle, and 6) enhance the exploitation of data centres, measurement programs, international campaigns, laboratory studies, and models. With these, CleanCloud will profoundly strengthen European Research on climate change, significantly contribute to upcoming climate assessments, and benefit society through models that enable improved weather and seasonal predictions.
Fields of science
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Programme(s)
Funding Scheme
HORIZON-RIA - HORIZON Research and Innovation ActionsCoordinator
8000 Aarhus C
Denmark
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Participants (13)
70013 Irakleio
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04318 Leipzig
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10691 Stockholm
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04109 Leipzig
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00560 Helsinki
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3526 KV Utrecht
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76131 Karlsruhe
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0349 Oslo
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2121 Nicosia
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75794 Paris
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60323 Frankfurt Am Main
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00185 Roma
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15341 Agia Paraskevi
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Partners (6)
Partner organisations contribute to the implementation of the action, but do not sign the Grant Agreement.
1015 Lausanne
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Partner organisations contribute to the implementation of the action, but do not sign the Grant Agreement.
8092 Zuerich
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Partner organisations contribute to the implementation of the action, but do not sign the Grant Agreement.
OX1 2JD Oxford
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Partner organisations contribute to the implementation of the action, but do not sign the Grant Agreement.
EX1 3PB Exeter
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Partner organisations contribute to the implementation of the action, but do not sign the Grant Agreement.
EX4 4QJ Exeter
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Partner organisations contribute to the implementation of the action, but do not sign the Grant Agreement.
RG6 6AH Reading
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