Abstract

Abstract. In this paper we develop a CryoSat-2 algorithm to retrieve the surface elevation of the air–snow interface over Antarctic sea ice. This algorithm utilizes a two-layer physical model that accounts for scattering from a snow layer atop sea ice as well as scattering from below the snow surface. The model produces waveforms that are fit to CryoSat-2 level 1B data through a bounded trust region least-squares fitting process. These fit waveforms are then used to track the air–snow interface and retrieve the surface elevation at each point along the CryoSat-2 ground track, from which the snow freeboard is computed. To validate this algorithm, we compare retrieved surface elevation measurements and snow surface radar return power levels with those from Operation IceBridge, which flew along a contemporaneous CryoSat-2 orbit in October 2011 and November 2012. Average elevation differences (standard deviations) along the flight lines (IceBridge Airborne Topographic Mapper, ATM – CryoSat-2) are found to be 0.016 cm (29.24 cm) in 2011 and 2.58 cm (26.65 cm) in 2012. The spatial distribution of monthly average pan-Antarctic snow freeboard found using this method is similar to what was observed from NASA's Ice, Cloud, and land Elevation Satellite (ICESat), where the difference (standard deviation) between October 2011–2017 CryoSat-2 mean snow freeboard and spring 2003–2007 mean freeboard from ICESat is 1.92 cm (9.23 cm). While our results suggest that this physical model and waveform fitting method can be used to retrieve snow freeboard from CryoSat-2, allowing for the potential to join laser and radar altimetry data records in the Antarctic, larger (∼30 cm) regional differences from ICESat and along-track differences from ATM do exist, suggesting the need for future improvements to the method. Snow–ice interface elevation retrieval is also explored as a potential to obtain snow depth measurements. However, it is found that this retrieval method often tracks a strong scattering layer within the snow layer instead of the actual snow–ice interface, leading to an overestimation of ice freeboard and an underestimation of snow depth in much of the Southern Ocean but with promising results in areas such as the East Antarctic sector.

Highlights

  • Antarctic sea ice plays a complex yet important role in the earth system processes of the Southern Hemisphere

  • A method for retrieving snow freeboard from CryoSat-2 data is developed. It is based on the fundamental idea that scattering of Ku-band radar pulses can originate from the air–snow interface of snow on sea ice

  • We incorporate this scattering into a physical waveform model and use a least-squares fitting routine to fit the model to CryoSat-2 level 1B waveforms

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Summary

Introduction

Zwally et al (2008) made the first estimates of satellite laser altimeter-based Antarctic sea ice thickness by utilizing data from NASA’s Ice, Cloud, and land Elevation Satellite (ICESat) taken over the Weddell Sea They computed the snow freeboard and combined it with snow depth data taken from the Advanced Microwave Scanning Radiometer for the Earth Observing System (AMSR-E). In order to counteract this uncertainty and improve the knowledge of the scattering effects of a snow layer on sea ice, our work aims to utilize Ku-band altimetry from CryoSat-2 to retrieve the elevation of the air–snow interface and subsequently the snow freeboard. A discussion on the application to snow depth retrievals and possibility for future work is provided in Sects. 7 and 8

Datasets
Observed Ku-band scattering of radar from Antarctic sea ice
Surface elevation retrieval methodology
Physical waveform model
Waveform fitting routine
Initial validation
Freeboard calculation
Pan-Antarctic freeboard comparisons
Application to snow depth retrievals
Findings
Conclusions and future work
Full Text
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