The relation between sea ice thickness and freeboard in the Arctic

Vertical thinning due to ice flow has been estimated both for the EDC and Dome Fuji ice cores based on a 1-D ice flow model (Parrenin et al., 2007b) with prescribed ice

The reconstructions are based on a multilinear regression of forecasted ice concentration, level ice thickness, ridge density, ice speed and an additional factor which is based,

ther investigations of surface structure and snow cover on seasonal sea ice in parallel to measurements of driving pa- rameters like heat flux, radiation, ice temperature and

of vertical transport by measuring u ∗ directly, and under katabatic conditions, estimate boundary layer depth (Ne ff et al., 2007) as well as giving wind speed, direction

The averaged MODIS ice thickness in 12.5 km grid resolution (upper left), SMOS ice thicknesses retrieved from Algorithm I (upper right) and II (lower left), and the histogram of

Northern Hemisphere ice sheets simulated by the GRISLI model at 18 ka BP, prior to Heinrich event 1, in terms of ice thickness (a) , ice velocities (b) and subsurface (550–1050 m)

To investigate the influence of snow depth, sea ice density, and area on sea ice thick- ness and volume estimates we use freeboard retrievals from ICESat, together with dif-

When we try different values for the ice temperature, snow density, and ice salinity (not shown here), we find that only the ice salinity impacts the modelled brightness