Mapping radiation transfer through sea ice using a remotely operated vehicle (ROV)

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,

The mean values and uncertainties of snow depth and ice and snow densities, determined for FY ice and MY ice, were used to calculate the total error in ice thickness retrieval

Available p CO 2 surface measurements and water chemistry data from the Baltic Sea and the Danish inner waters are combined in six sub-domains of the Baltic Sea to provide

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

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-

To establish the extent to which a snow cover will mitigate the albedo e ff ect of black carbon in sea ice two di ff erent Arctic snow types (also described by Grenfell and

measured from Terra are also compared to LBLMS simulations in cloudy conditions using retrieved cloud optical depth and e ff ective radius from MODIS. Three case stud- ies are

NARR data were input to the SNTHERM snow thermo- dynamic model in order to drive the MSIB model for compar- ison to detailed geophysical measurements and surface-based observations