The Multidisciplinary drifting Observatory for the Study of Arctic Climate (MOSAiC) has been designed by an international consortium of leading polar research institutes under the umbrella of IASC.

Rapid changes in the Arctic lead to an urgent need for reliable information about the state and evolution of the Arctic climate system. This requires more observations and improved modelling over various spatial and temporal scales, and across a wide variety of disciplines. The focus of MOSAiC lies on in-situ observations of the climate processes that couple atmosphere, ocean, sea ice, bio-geochemistry and ecosystem.

The main scientific goals of MOSAiC are improving the data assimilation for numerical weather prediction models, sea ice forecasts and climate models, ground truth for satellite remote sensing, energy budget and fluxes through interfaces, sources, sinks and cycles of chemical species, boundary layer processes, habitat conditions and primary productivity, interaction with indigenous communities, and stakeholder services.

MOSAiC will be the first year-around observation of the coupled Arctic climate system and the planned observations cut across many disciplines. Hence, the coordination of such complex observations and the implementation of measurement concepts need to be discussed during this workshop to ensure the quality and continuity of critical measurements and to maximize the impact of these observations for coupled system studies. This includes the coordination of the modelling activities to improve the sea ice forecast, numerical weather prediction and the climate models.

Day one is scheduled for invited overview talks with respect to observations and modelling for the respective components of the coupled system. Day two will consist of breakout sessions with foci on different space and time scale as well as logistics. Selected chair persons will lead the breakout discussions on day two. Additional, all participants are invited to propose poster presentations, which will be presented during the two days.

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Abstract submission

Deadline: 15 January 2017