The work is carried out in four main work packages (WPs), each of these will examine aspects of the sea-ice ridges that will then integrated into a unified picture of the evolution of sea ice ridges and their role.
The main work to be carried out during MOSAiC, will be to establish a sea-ice ridge observatory, and make regular interdisciplinary observations of sea-ice ridges throughout all seasons, using conventional observations, but also make use of new technology and instruments.
WP1: Evolution of the physical environment in and around sea-ice ridges
In this task we will map the evolution of sea-ice ridges and examine factors such as ocean currents (mixing, heat and nutrient fluxes) and light climate in and around sea-ice ridges to see how this habitat differs from the typical level ice that is studied during MOSAiC.
WP2: Species diversity and distribution as a result of habitat diversity within and below pressure ridges
In WP2 we will assess the processes that cause differences in the diversity of ice associated biota (from viruses, bacteria, to zooplankton and fish) )between ridges and level sea ice. How does the complex geometry of the ridge keels, with ice blocks and water filled gaps, affect the biodiversity of ridges versus the more exposed level ice. Observations over a longer season also allows to examine how the role of ridges changes with season.
WP3: Biogeochemical processes and ecosystem functioning in ridges compared to level-ice and pelagic habitats.
In WP3 we will determine how food web and biogeochemical processes at the ice-ocean interface and the underlying water column differ between ridges and level sea ice, including bacterial and primary production, remineralization, proto- and metazoan grazing and vertical export in comparison with those of level sea ice.
WP4: Assessing importance of ridge processes on regional and pan-Arctic scales
And finally we will extend findings to regional and pan-arctic scales using local (conventional mapping and ship-radar), airborne (helicopter and fixed-wing) and satellite based observations and assess performance and improve representation of ridges in numerical models, especially for the role of the ecology of ridges.