Abstract

Abstract. Owing to differing and complex snow geophysical properties, radar waves of different wavelengths undergo variable penetration through snow-covered sea ice. However, the mechanisms influencing radar altimeter backscatter from snow-covered sea ice, especially at Ka- and Ku-band frequencies, and the impact on the Ka- and Ku-band radar scattering horizon or the “track point” (i.e. the scattering layer depth detected by the radar re-tracker) are not well understood. In this study, we evaluate the Ka- and Ku-band radar scattering horizon with respect to radar penetration and ice floe buoyancy using a first-order scattering model and the Archimedes principle. The scattering model is forced with snow depth data from the European Space Agency (ESA) climate change initiative (CCI) round-robin data package, in which NASA's Operation IceBridge (OIB) data and climatology are included, and detailed snow geophysical property profiles from the Canadian Arctic. Our simulations demonstrate that the Ka- and Ku-band track point difference is a function of snow depth; however, the simulated track point difference is much smaller than what is reported in the literature from the Ku-band CryoSat-2 and Ka-band SARAL/AltiKa satellite radar altimeter observations. We argue that this discrepancy in the Ka- and Ku-band track point differences is sensitive to ice type and snow depth and its associated geophysical properties. Snow salinity is first increasing the Ka- and Ku-band track point difference when the snow is thin and then decreasing the difference when the snow is thick (>0.1 m). A relationship between the Ku-band radar scattering horizon and snow depth is found. This relationship has implications for (1) the use of snow climatology in the conversion of radar freeboard into sea ice thickness and (2) the impact of variability in measured snow depth on the derived ice thickness. For both (1) and (2), the impact of using a snow climatology versus the actual snow depth is relatively small on the radar freeboard, only raising the radar freeboard by 0.03 times the climatological snow depth plus 0.03 times the real snow depth. The radar freeboard is a function of both radar scattering and floe buoyancy. This study serves to enhance our understanding of microwave interactions towards improved accuracy of snow depth and sea ice thickness retrievals via the combination of the currently operational and ESA's forthcoming Ka- and Ku-band dual-frequency CRISTAL radar altimeter missions.

Highlights

  • Since 2010, basin-scale Arctic sea ice thickness (HI) has been estimated monthly during the winter season using the European Space Agency’s CryoSat-2 Kuband frequency radar altimeter data

  • We have shown that it is necessary to correct the sea ice freeboard measured by a radar altimeter for both the snow loading from actual snow depth estimates and the radar signal penetration before computing the sea ice thickness

  • We advocate avoiding the use of snow climatology because we think it is not necessary to include a bias in sea ice thickness estimation even if it is small

Read more

Summary

Introduction

Since 2010, basin-scale Arctic sea ice thickness (HI) has been estimated monthly during the winter season using the European Space Agency’s CryoSat-2 Kuband frequency radar altimeter data While Guerreiro et al (2016) found that Ka-band radar scattering primarily originates from the air–snow interface, based on simple modeling assumptions, Maheshwari et al (2015) assumed the effective Ka-band scattering interface was coincident with the snow–sea-ice interface in their derivation of sea ice freeboard using AltiKa. Seasonally evolving snow covers with internal density layering (e.g., compacted wind slabs), ice lenses, melt–refreeze layers, brine-wetting (only on first-year sea ice, FYI), and large spatial diversity add to the geophysical complexity and manifest vertical shifting of the Ku-band radar height by several or more centimeters above the snow–sea-ice interface (Nandan et al, 2020, 2017a; Tonboe et al, 2006a). While ice density affects ice floe buoyancy, it is not expected to influence the scattering surface depth

The ESA CCI round-robin data package and snow profiles on sea ice
Radar altimeter scattering model and re-tracker description
Scattering model initialization and setup
Snow climatology for radar sea ice freeboard to thickness conversion
Findings
Conclusions
Full Text
Published version (Free)

Talk to us

Join us for a 30 min session where you can share your feedback and ask us any queries you have

Schedule a call