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Author(s)
The sensitivity of weather and climate system to sea
ice thickness (SIT) in the Arctic is recognised from various studies.
Decrease of SIT will affect atmospheric circulation, temperature,
precipitation and wind speed in the Arctic and remotely. Ice
thermodynamics and dynamic properties depend strongly on ice and snow
thickness. The heat transfer through ice critically depends on ice
thickness. Long term accurate SIT records with corresponding
uncertainties are required for improved seasonal weather forecast and
estimate of the sea ice mass balance. Satellite radar and Laser
Altimeter (LA) provide long term records of sea ice freeboard. Assuming
isostatic equilibrium, SIT is retrieved from the freeboard, extracted
from radar altimeter (RA) or LA, where the snow depth, density, ice and
water density are input variables in the equation for hydrostatic
equilibrium to derive SIT from LA or RA. Different input variables (snow
depth, density, ice and water density) with unknown accuracy have been
applied from various authors to retrieve SIT and Sea Ice Draft (SID)
from RA or LA, leading to not comparative results. Sea ice density
dependence on ice type, thermodynamic properties and freeboard is
confirmed with different studies. Sensitivity analyses confirm the great
impact of sea ice density, snow depth and density on accuracy of the
retrieved SIT and the importance of inserting variable ice density (VID)
in the equation for hydrostatic equilibrium for more accurate SIT
retrieval, weather and climate forecast. The impact of sea ice density
and snow depth and density on retrieved SIT from the freeboard derived
from LA and RA have been analyzed in this study using the equation for
hydrostatic equilibrium, statistical and sensitivity analyses. An
algorithm is developed to convert the freeboard, derived from LA in SIT,
inserting VID in the equation for hydrostatic equilibrium. The
algorithm is validated with field, laboratory studies and collocated SIT
retrieved from RA on board Envisat. The accuracy of the developed
algorithm is analyzed, using statistical and uncertainty analyses. It is
found that the uncertainty of the retrieved SIT from LA is decreased
7.6 times (from rhi = 59 cm for fixed ice density) if
variable ice density is inserted in the equation for hydrostatic
equilibrium. The SIT, which has been retrieved from the freeboard
derived from LA is validated with collocated SIT derived from RA2 on
Envisat, using variable ice density. The bias of the mean SIT derived
from LA and RA has been reduced from -1.1 m to about one millimeter when
VID is applied to retrieve SIT from LA and RA. The results and
algorithms, discussed in this paper are essential contribution to SIT
and SID retrieval, satellite remote sensing, cryosphere, meteorology and
improved weather and climate forecast.
Cite this paper
Djepa, V. (2014) Improved Retrieval of Sea Ice Thickness and Density from Laser Altimeter. Atmospheric and Climate Sciences, 4, 907-918. doi: 10.4236/acs.2014.45080.
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