University of Tasmania
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Measuring snow thickness over Antarctic sea ice with a helicopter-borne 2-8 GHz FMCW radar

posted on 2023-05-26, 01:44 authored by Galin, N
Antarctic sea ice and its snow cover are integral components of the global climate system, yet many aspects of their vertical dimensions are poorly understood, making their representation in global climate models poor. Remote sensing is the key to monitoring the dynamic nature of sea ice and its snow cover. Reliable and accurate snow thickness data from an airborne platform is currently a highly sought after data product. Remotely sensed snow thickness measurements can provide an indication of precipitation levels. These are predicted to increase with effects of climate change, and are difvîvâvªcult to measure as snow fall is frequently lost to wind-blown redistribution, sublimation and snow-ice formation. Additionally, accurate regional scale snow thickness data will increase the accuracy of sea ice thickness retrieval from satellite altimeter freeboard estimates. Airborne snow-depth investigation techniques are one method for providing regional estimation of these parameters. The airborne datasets are better suited to validating satellite algorithms, and are themselves easier to validate with in-situ measurement. The development and practicality of measuring snow thickness over sea ice in Antarctica using a helicopter-borne radar forms the subject of this thesis. The radar design, a 2 - 8 GHz Frequency Modulated Continuous Wave Radar, is a product of collaboration and the expertise at the Centre for Remote Sensing of Ice Sheets, Kansas University. This thesis presents a review of the theoretical basis of the interactions of electromagnetic waves with the snow and sea ice. The dominant general physical parameters pertinent to electromagnetic sensing are presented, and the necessary conditions for unambiguous identivîvâvªcation of the air/snow and snow/ice interfaces by the radar are derived. It is found that the roughnesses of the snow and ice surfaces are dominant determinants in the effectiveness of layer identivîvâvªcation in this radar. Motivated by these results, the minimum sensitivity requirements for the radar are presented. Experiments with the radar mounted on a sled convîvâvªrm that the radar is capable of unambiguously detecting snow thickness. Helicopter-borne experiments conducted during two voyages into the East Antarctic sea-ice zone show however, that the airborne data are highly affected by sweep frequency non-linearities, making identivîvâvªcation of snow thickness difvîvâvªcult. A model for the source of these non-linearities in the radar is developed and verivîvâvªed, motivating the derivation of an error correcting algorithm. Application of the algorithm to the airborne data demonstrates that the radar is indeed receiving revîvâvºections from the air/snow and snow/ice interfaces. Consequently, this thesis presents the vîvâvªrst in-situ validated snow thickness estimates over sea ice in Antarctica derived from a Frequency Modulated Continuous Wave radar on a helicopterborne platform. Additionally, the ability of the radar to independently identify the air/snow and snow/ice interfaces allows for a relative estimate of roughness of the sea ice to be derived. This parameter is a critical component necessary for assessing the integrity of satellite snow-depth retrieval algorithms such as those using the data product provided by the Advanced Microwave Scanning Radiometer - Earth Observing System sensor on board NASAvîv¿Œ©'s Aqua satellite. This thesis provides a description, solution or mitigation of the many difvîvâvªculties of operating a radar from a helicopter-borne platform, as well as tackling the difvîvâvªculties presented in the study of heterogeneous media such as sea ice and its snow cover. In the future the accuracy of the snow-depth retrieval results can be increased as technical difvîvâvªculties are overcome, and at the same time the radar architecture simplivîvâvªed. However, further validation studies are suggested to better understand the effect of the heterogeneous nature of sea ice and its snow cover on the radar signature.


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