BI Haibo, HUANG Haijun, SU Qiao, YAN Liwen, LIU Yanxia, XU Xiuli. An Arctic sea ice thickness variability revealed from satellite altimetric measurements[J]. Acta Oceanologica Sinica, 2014, 33(11): 134-140. doi: 10.1007/s13131-014-0562-y
Citation: BI Haibo, HUANG Haijun, SU Qiao, YAN Liwen, LIU Yanxia, XU Xiuli. An Arctic sea ice thickness variability revealed from satellite altimetric measurements[J]. Acta Oceanologica Sinica, 2014, 33(11): 134-140. doi: 10.1007/s13131-014-0562-y

An Arctic sea ice thickness variability revealed from satellite altimetric measurements

doi: 10.1007/s13131-014-0562-y
  • Received Date: 2014-01-22
  • Rev Recd Date: 2014-03-20
  • A modified algorithm taking into account the first year (FY) and multiyear (MY) ice densities is used to derive a sea ice thickness from freeboard measurements acquired by satellite altimetry ICESat (2003-2008). Estimates agree with various independent in situ measurements within 0.21 m. Both the fall and winter campaigns see a dramatic extent retreat of thicker MY ice that survives at least one summer melting season. There were strong seasonal and interannual variabilities with regard to the mean thickness. Seasonal increases of 0.53 m for FY the ice and 0.29 m for the MY ice between the autumn and the winter ICESat campaigns, roughly 4-5 month separation, were found. Interannually, the significant MY ice thickness declines over the consecutive four ICESat winter campaigns (2005-2008) leads to a pronounced thickness drop of 0.8 m in MY sea ice zones. No clear trend was identified from the averaged thickness of thinner, FY ice that emerges in autumn and winter and melts in summer. Uncertainty estimates for our calculated thickness, caused by the standard deviations of multiple input parameters including freeboard, ice density, snow density, snow depth, show large errors more than 0.5 m in thicker MY ice zones and relatively small standard deviations under 0.5 m elsewhere. Moreover, a sensitivity analysis is implemented to determine the separate impact on the thickness estimate in the dependence of an individual input variable as mentioned above. The results show systematic bias of the estimated ice thickness appears to be mainly caused by the variations of freeboard as well as the ice density whereas the snow density and depth brings about relatively insignificant errors.
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