Clouds are a very important, yet not well understood feedback factor in climate change and they contribute to the effective radiative forcing (ERF) from aerosol-cloud interactions (ACI). The uncertainty in ERFaci is larger than for any other forcing agent. Also, feedbacks between the terrestrial and marine biosphere and the atmosphere involving ACI are thought to play an important role in regulating climate change but their relevance remains poorly quantified.
BACCHUS proposes to quantify key processes and feedbacks controlling ACI, by combining advanced measurements of cloud and aerosol properties with state-of-the-art numerical modelling. The analysis of contrasting environments will be the guiding strategy for BACCHUS. We will investigate the importance of biogenic versus anthropogenic emissions for ACI in regions that are key regulators of Earth's climate (Amazonian rain forest) or are regarded as tipping elements in the climate system (Arctic).
BACCHUS will generate a unique database linking long-term observations and field campaign data of aerosol, cloud condensation and ice nuclei and cloud microphysical properties; this will enable a better quantification of the natural aerosol concentrations and the anthropogenic aerosol effect. BACCHUS will advance the understanding of biosphere aerosol-cloud-climate feedbacks that occur via emission and transformation of biogenic volatile organic compounds, primary biological aerosols, secondary organic aerosols and dust. Integration of new fundamental understanding gained in BACCHUS in Earth Systems Models allows to reduce the uncertainty in future climate projections. This will have a direct impact on decision-making addressing climate change adaptation and mitigation. BACCHUS brings together a critical mass of experimentalists and modellers with the required scientific expertise to address these complex topics and a high commitment to communicate their findings in many ways in order to ensure a high-impact project.
Fields of science
Call for proposal
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Funding SchemeCP - Collaborative project (generic)