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For accurate forecast of climate change, sea ice mass balance, oceancirculation and sea- atmosphere interactions is required to have long termrecords of Sea Ice Thickness (SIT). Different approaches have been applied toretrieve SIT and only satellite altimetry, radar or laser, have been proven toprovide hemispheric estimates of SIT distribution over a sufficient thicknessrange. To simplify the algorithm for SIT retrieval from RA, constant icedensity has been applied until now, which lead to different results for derivedSIT and SID, in dependence on input information for sea ice density and snowdepth. The purpose of this paper is to select algorithm for SID and SITretrieval from RA, using statistical, sensitivity analyses and independentobservations of SID from moored ULS, or on Submarine. The impact of ice densityand snow depth on accuracy of the retrieved SIT has been examined, applyingsensitivity analyses, and the propagated uncertainties have been summarised.Accuracy of algorithms for snow depth retrieval in the Arctic have beendiscussed and it is concluded that the assumption of half snow depth over FirstYear Ice (FYI) will lead always to underestimation of SIT and SID derived fromRA and is not applicable for SIT retrieval from RA, using the equation forhydrostatic equilibrium. Algorithms for freeboard depended ice densities andSIT retrieval from RA have been developed and a FD algorithm for SIT retrievalfrom RA has been selected, based on statistical, sensitivity analyses andcomparison with collocated observations of SID from moored ULS and on Submarine. ESA (ERS1, 2, ENVISAT, CryoSat2), future ESA (Sentinel) and NASA satelliteand airborne missions, climate and numerical forecast programs will benefit theresults of this paper.

Sensitivity, uncertainty analyses and algorithm selection for Sea Ice Thickness retrieval from Radar Altimeter