2nd QuIESCENT Workshop

The second workshop of the QuIESCENT Arctic programme took place as part of the International Arctic Science Committee (IASC) Arctic Science Summit Week (ASSW) in Tromsø, Norway (30 March - 1 April 2022), thanks to support from the IASC Atmosphere Working Group and the air Pollution in the Arctic: Climate, Environment, and Societies (PACES) initiative.

Our second workshop built on our cross-disciplinary bridge between aerosol and clouds, physicists and chemists, and observations and models, and scientists from all perspectives of this research question are encouraged to attend and contribute. We continued to focus on the role of transported air pollution in Arctic aerosol-cloud interactions, as the climatic effects of increasing industrialisation within the Arctic circle and transport from the polluted mid-latitudes are not well understood; however, these processes must be considered against an understanding of the evolving natural baseline of the Arctic aerosol budget.

We specifically looked at ways we could improve collaboration between the different specialisms represented. Our first workshop gave us insight into what the key challenges are in the different science areas, but we progressed these discussions to design a pathway forward to improve the Arctic indirect effect in models across spatial scales.

To this end, we again welcomed participants covering a wide range of expertise (ground-based, aircraft, satellite observations, and modelling). Members of recent Arctic measurement campaigns, e.g., NETCARE, (AC)3, Arctic Ocean 2018, and MOSAiC and partnering projects, were encouraged to attend and use our platform to share their exciting results and discuss their vision for the use of their findings in numerical models.

Similarly, model specialists from key modelling centres were encouraged to attend as their input in these discussions is critical to the success of this mission; without engagement from modelling specialists - from large-eddy simulation, through regional numerical weather prediction, to global climate scales - we cannot improve the efficiency of the knowledge pipeline from observations through to models. As such, we encouraged modellers with an interest in Arctic clouds and aerosols, such as those involved with the Year of Polar Prediction (YOPP) and MOSAiC consortiums, independent modellers, and contributors from key modelling centres, to attend and contribute their expertise .

We also continued to foster ideas on novel approaches to understanding the Arctic indirect effect, including machine-learning and satellite remote sensing approaches to solving associated research questions. New collaborations were brokered between participants during the workshop, in addition to clear progress in developing a tangible strategy for improving aerosol-cloud process understanding and, ultimately, climate model uncertainties.


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Further information: