The results of MOSAiC will contribute to enhance understanding of the regional and global consequences of Arctic climate change and sea-ice loss and improve weather and climate predictions. As such it will support safer maritime and offshore operations, contribute to an improved scientific basis for future fishery and traffic along northern sea routes, increase coastal-community resilience, and support science-informed decision-making and policy development. Improved understanding of the impact of Arctic climate change on conditions world-wide will provide stakeholders and decision-makers with improved knowledge for
- The Arctic is a key area of global climate change, with warming rates exceeding twice the global average (Figure 1).
- The observed rate of climate change in the Arctic is not well reproduced in climate models (e.g. they largely underestimate sea ice retreat, Figure 2).
- Many processes in the Arctic climate system are poorly represented in climate models because they are not sufficiently understood.
- Understanding of Arctic climate processes is limited by a lack of year round observations in the central Arctic.
The dramatic changes in the Arctic climate system and the fast retreat of Arctic sea ice strongly affects global climate. The inability of modern climate models to reproduce Arctic climate change is one of the most pressing problems in understanding and predicting global climate change. As a result, the urgency of year round observations of key climate processes in the central Arctic has been highlighted by all major research initiatives including the IPCC.
MOSAiC has been designed in response to these research needs and will contribute to a quantum leap in
our understanding of the coupled Arctic climate system and in its representation in global climate models. The focus of MOSAiC lies on
direct in-situ observations of the climate processes that couple the atmosphere, ocean, sea ice, bio-geochemistry and ecosystem.
Innovative experimental design of the MOSAiC expedition
The heritage for MOSAiC is Fridtjof Nansen's famous Fram expedition during 1893-1896, which demonstrated the
feasibility of letting a research vessel drift across the polar cap, driven by the natural drift of the sea ice. While Nansen has
demonstrated the basic concept of such an expedition, the scientific measurements at that time were extremely limited. The backbone of
MOSAiC will be the year round operation of RV Polarstern, drifting with the sea ice across the central Arctic
during the years 2019 to
During the set-up phase RV Polarstern will enter the Siberian sector of the Arctic in thin sea ice conditions in late summer.
A distributed regional network of observational sites will be set up on the sea ice in an area of up to ~50km distance from RV
The ship and the surrounding network will drift with the natural ice drift across the polar cap towards the Atlantic,
while the sea ice thickens during winter (red dotted line in Figure 3).
Large scale research facilities addressing key aspects of the coupled Arctic climate system will be set up on board of
and on the sea ice next to it.
The distributed regional network further around the central observatory will be comprised of autonomous and remotely-operated sensors,
characterizing the heterogeneity of key processes in an area representing a typical grid box of modern climate models and providing
invaluable data for the development of parametrizations for sub-grid-scale processes in climate models. The German
research aircrafts Polar 5 and Polar 6,
as well as the HALO research aircraft, will be operated to complement
the measurements at the central MOSAiC site. Research and supply cruises by icebreakers from MOSAiC partners
will further extend the geographical coverage of the observations and will link the measurements to the larger scales of the
Arctic climate system and explore global feedbacks.
Access to the central MOSAiC site, for exchanging scientific staff and for emergency operations, will be guaranteed by
operations of long-distance helicopters via a fuel depot on Bolshevik Island.