Analysis of CryoSat’s radar altimeter waveforms over different Arctic sea ice regimes

Satellite altimetry has been used to derive information about sea ice thickness in the Arctic already for several decades. As part of the algorithms applied the shape of the radar signal is used to identify leads, the open water between ice floes. Analysis of airborne altimeter data reveals that the...

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Main Authors: Zygmuntowska, Marta, Khvorostovsky, Kirill
Format: Article in Journal/Newspaper
Language:English
Published: The University of Bergen 2014
Subjects:
Online Access:https://hdl.handle.net/1956/9393
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spelling ftunivbergen:oai:bora.uib.no:1956/9393 2023-05-15T14:20:53+02:00 Analysis of CryoSat’s radar altimeter waveforms over different Arctic sea ice regimes Zygmuntowska, Marta Khvorostovsky, Kirill 2014-06-11 application/pdf https://hdl.handle.net/1956/9393 eng eng The University of Bergen Arctic sea ice altimetry - advances and current uncertainties https://hdl.handle.net/1956/9393 Copyright the authors. All rights reserved Journal article 2014 ftunivbergen 2023-03-14T17:39:43Z Satellite altimetry has been used to derive information about sea ice thickness in the Arctic already for several decades. As part of the algorithms applied the shape of the radar signal is used to identify leads, the open water between ice floes. Analysis of airborne altimeter data reveals that the waveform shape can additionally be used to identify different sea ice types. In this study we analyze signal waveforms from ESA’s CryoSat-2 satellite, to test the possibility of sea ice classification based on radar altimeter waveforms on an Arctic wide scale. We define six parameters to account for the difference in the shape of the radar waveforms obtained over First- and Multi-Year-Ice and find significant differences for several of these parameters. The Pulse Peakiness, Stack Standard Deviation and Leading Edge Width show the largest difference. These waveform parameters can thus be used to classify First- and Multi-Year-Ice over large areas of the Arctic Ocean. However, analyzing the spatial distribution we find some discrepancies compared to other retrievals of sea ice type. CryoSat waveform parameters have values typical for Multi-Year-Ice over large areas classified as First-Year-Ice. These areas are co-located with strong gradients in drift speed, indicating, that the radar signal is mainly sensitive to surface roughness. Potentially this information could be used to reduce biases in the freeboard retrievals and to improve estimates of sea ice thickness. Draft Article in Journal/Newspaper Arctic Arctic Arctic Ocean Sea ice University of Bergen: Bergen Open Research Archive (BORA-UiB) Arctic Arctic Ocean
institution Open Polar
collection University of Bergen: Bergen Open Research Archive (BORA-UiB)
op_collection_id ftunivbergen
language English
description Satellite altimetry has been used to derive information about sea ice thickness in the Arctic already for several decades. As part of the algorithms applied the shape of the radar signal is used to identify leads, the open water between ice floes. Analysis of airborne altimeter data reveals that the waveform shape can additionally be used to identify different sea ice types. In this study we analyze signal waveforms from ESA’s CryoSat-2 satellite, to test the possibility of sea ice classification based on radar altimeter waveforms on an Arctic wide scale. We define six parameters to account for the difference in the shape of the radar waveforms obtained over First- and Multi-Year-Ice and find significant differences for several of these parameters. The Pulse Peakiness, Stack Standard Deviation and Leading Edge Width show the largest difference. These waveform parameters can thus be used to classify First- and Multi-Year-Ice over large areas of the Arctic Ocean. However, analyzing the spatial distribution we find some discrepancies compared to other retrievals of sea ice type. CryoSat waveform parameters have values typical for Multi-Year-Ice over large areas classified as First-Year-Ice. These areas are co-located with strong gradients in drift speed, indicating, that the radar signal is mainly sensitive to surface roughness. Potentially this information could be used to reduce biases in the freeboard retrievals and to improve estimates of sea ice thickness. Draft
format Article in Journal/Newspaper
author Zygmuntowska, Marta
Khvorostovsky, Kirill
spellingShingle Zygmuntowska, Marta
Khvorostovsky, Kirill
Analysis of CryoSat’s radar altimeter waveforms over different Arctic sea ice regimes
author_facet Zygmuntowska, Marta
Khvorostovsky, Kirill
author_sort Zygmuntowska, Marta
title Analysis of CryoSat’s radar altimeter waveforms over different Arctic sea ice regimes
title_short Analysis of CryoSat’s radar altimeter waveforms over different Arctic sea ice regimes
title_full Analysis of CryoSat’s radar altimeter waveforms over different Arctic sea ice regimes
title_fullStr Analysis of CryoSat’s radar altimeter waveforms over different Arctic sea ice regimes
title_full_unstemmed Analysis of CryoSat’s radar altimeter waveforms over different Arctic sea ice regimes
title_sort analysis of cryosat’s radar altimeter waveforms over different arctic sea ice regimes
publisher The University of Bergen
publishDate 2014
url https://hdl.handle.net/1956/9393
geographic Arctic
Arctic Ocean
geographic_facet Arctic
Arctic Ocean
genre Arctic
Arctic
Arctic Ocean
Sea ice
genre_facet Arctic
Arctic
Arctic Ocean
Sea ice
op_relation Arctic sea ice altimetry - advances and current uncertainties
https://hdl.handle.net/1956/9393
op_rights Copyright the authors. All rights reserved
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