Evaluating Aerial Ku-Band Radar Altimetry over Landfast First-Year Sea Ice
Recent studies have challenged the assumption that Ku-band radar, used by the CryoSat-2 satellite altimetry platform, fully penetrates the dry snow cover of Arctic sea ice in the winter. There is also uncertainty around the proper technique for handling retracker threshold selection in the Threshold...
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ftunivwaterloo:oai:uwspace.uwaterloo.ca:10012/15501 2023-05-15T15:01:48+02:00 Evaluating Aerial Ku-Band Radar Altimetry over Landfast First-Year Sea Ice Donchenko, Paul 2019-12-11 http://hdl.handle.net/10012/15501 en eng University of Waterloo http://hdl.handle.net/10012/15501 radar altimetry arctic sea ice landfast snow Master Thesis 2019 ftunivwaterloo 2022-06-18T23:02:43Z Recent studies have challenged the assumption that Ku-band radar, used by the CryoSat-2 satellite altimetry platform, fully penetrates the dry snow cover of Arctic sea ice in the winter. There is also uncertainty around the proper technique for handling retracker threshold selection in the Threshold First-Maxima Retracker (TFMRA) method which estimates the ice surface elevation from the radar echo waveform. The purpose of this study was to evaluate the accuracy and penetration of the TFMRA retracking method applied to ASIRAS (an airborne version of CryoSat-2's SIRAL sensor) radar altimetry returns, investigate the effect of surface characteristics and explore methods for improving the accuracy. The ice surface elevation estimate from ASIRAS was evaluated by comparing to the snow surface measured by aggregating laser altimetry observations from the Airborne Laser Scanner (ALS), and the ice surface measured by subtracting ground observations of snow depth from the snow surface. Due to the lack of a surface that could be used to calibrate the ASIRAS and ALS elevations, the location of the waveform relative to the observed snowpack boundaries could not be reliably established. The accuracy, penetration and the effect of surface properties were examined by investigating patterns that were consistent among different alternative calibration methods. The perceived penetration of the ice surface estimate was found to increase with the retracker threshold and the function of the relationship dependent on surface properties. The slope of the trend was increased by a deformed ice surface, a deeper snow cover, an absence of salinity and a larger snow grain size. As a result, the ideal retracked threshold, one that would achieve 100% penetration, varies depending on properties of the surface being observed. Under conditions such deep snow or a large grain size, the retracked elevation $s_r$ was found in some cases to not penetrate fully the snowpack. This would cause an overestimation of the sea ice freeboard and as a ... Master Thesis Arctic Sea ice University of Waterloo, Canada: Institutional Repository Arctic |
institution |
Open Polar |
collection |
University of Waterloo, Canada: Institutional Repository |
op_collection_id |
ftunivwaterloo |
language |
English |
topic |
radar altimetry arctic sea ice landfast snow |
spellingShingle |
radar altimetry arctic sea ice landfast snow Donchenko, Paul Evaluating Aerial Ku-Band Radar Altimetry over Landfast First-Year Sea Ice |
topic_facet |
radar altimetry arctic sea ice landfast snow |
description |
Recent studies have challenged the assumption that Ku-band radar, used by the CryoSat-2 satellite altimetry platform, fully penetrates the dry snow cover of Arctic sea ice in the winter. There is also uncertainty around the proper technique for handling retracker threshold selection in the Threshold First-Maxima Retracker (TFMRA) method which estimates the ice surface elevation from the radar echo waveform. The purpose of this study was to evaluate the accuracy and penetration of the TFMRA retracking method applied to ASIRAS (an airborne version of CryoSat-2's SIRAL sensor) radar altimetry returns, investigate the effect of surface characteristics and explore methods for improving the accuracy. The ice surface elevation estimate from ASIRAS was evaluated by comparing to the snow surface measured by aggregating laser altimetry observations from the Airborne Laser Scanner (ALS), and the ice surface measured by subtracting ground observations of snow depth from the snow surface. Due to the lack of a surface that could be used to calibrate the ASIRAS and ALS elevations, the location of the waveform relative to the observed snowpack boundaries could not be reliably established. The accuracy, penetration and the effect of surface properties were examined by investigating patterns that were consistent among different alternative calibration methods. The perceived penetration of the ice surface estimate was found to increase with the retracker threshold and the function of the relationship dependent on surface properties. The slope of the trend was increased by a deformed ice surface, a deeper snow cover, an absence of salinity and a larger snow grain size. As a result, the ideal retracked threshold, one that would achieve 100% penetration, varies depending on properties of the surface being observed. Under conditions such deep snow or a large grain size, the retracked elevation $s_r$ was found in some cases to not penetrate fully the snowpack. This would cause an overestimation of the sea ice freeboard and as a ... |
format |
Master Thesis |
author |
Donchenko, Paul |
author_facet |
Donchenko, Paul |
author_sort |
Donchenko, Paul |
title |
Evaluating Aerial Ku-Band Radar Altimetry over Landfast First-Year Sea Ice |
title_short |
Evaluating Aerial Ku-Band Radar Altimetry over Landfast First-Year Sea Ice |
title_full |
Evaluating Aerial Ku-Band Radar Altimetry over Landfast First-Year Sea Ice |
title_fullStr |
Evaluating Aerial Ku-Band Radar Altimetry over Landfast First-Year Sea Ice |
title_full_unstemmed |
Evaluating Aerial Ku-Band Radar Altimetry over Landfast First-Year Sea Ice |
title_sort |
evaluating aerial ku-band radar altimetry over landfast first-year sea ice |
publisher |
University of Waterloo |
publishDate |
2019 |
url |
http://hdl.handle.net/10012/15501 |
geographic |
Arctic |
geographic_facet |
Arctic |
genre |
Arctic Sea ice |
genre_facet |
Arctic Sea ice |
op_relation |
http://hdl.handle.net/10012/15501 |
_version_ |
1766333815216668672 |