Optimising Interannual Sea Ice Thickness Variability Retrieved From CryoSat‐2 Journal Article uri icon

Overview

abstract

  • AbstractSatellite radar altimeters like CryoSat‐2 estimate sea ice thickness by measuring the return‐time of transmitted radar pulses, reflected from the sea ice and ocean surface, to measure the radar freeboard. Converting freeboard to thickness requires an assumption regarding the fractional depth of the snowpack from which the radar waves backscatter . We derive sea ice thickness from CryoSat‐2 radar freeboard data with incremental values for , for the 2010–2021 winter periods. By comparing these to sea ice thickness estimates derived from upward‐looking sonar moorings, we find that values between 35%–80% result in the best representation of interannual variability observed over first‐year ice,��reduced to 55% over multi‐year ice. The underestimating bias in retrievals caused by optimizing this metric can be removed by reducing the waveform retracking threshold to 20%–50%. Our results pave the way for a new generation of ‘partial penetration’ sea ice thickness products from radar altimeters.

publication date

  • November 16, 2024

has restriction

  • gold

Date in CU Experts

  • November 13, 2024 9:16 AM

Full Author List

  • Nab C; Mallett R; Nelson C; Stroeve J; Tsamados M

author count

  • 5

Other Profiles

International Standard Serial Number (ISSN)

  • 0094-8276

Electronic International Standard Serial Number (EISSN)

  • 1944-8007

Additional Document Info

volume

  • 51

issue

  • 21