Surface-Based Ku- and Ka-band Polarimetric Radar for Sea Ice Studies
To improve our understanding of how snow properties influence sea ice thickness retrievals from presently operational and upcoming satellite radar altimeter missions, as well as investigating the potential for combining dual frequencies to simultaneously map snow depth and sea ice thickness, a new,...
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ftcopernicus:oai:publications.copernicus.org:tcd86133 2023-05-15T15:08:05+02:00 Surface-Based Ku- and Ka-band Polarimetric Radar for Sea Ice Studies Stroeve, Julienne Nandan, Vishnu Willatt, Rosemary Tonboe, Rasmus Hendricks, Stefan Ricker, Robert Mead, James Huntemann, Marcus Itkin, Polona Schneebeli, Martin Krampe, Daniela Spreen, Gunnar Wilkinson, Jeremy Matero, Ilkka Hoppmann, Mario Mallett, Robbie Tsamados, Michel 2020-08-03 application/pdf https://doi.org/10.5194/tc-2020-151 https://tc.copernicus.org/preprints/tc-2020-151/ eng eng doi:10.5194/tc-2020-151 https://tc.copernicus.org/preprints/tc-2020-151/ eISSN: 1994-0424 Text 2020 ftcopernicus https://doi.org/10.5194/tc-2020-151 2020-08-10T16:22:01Z To improve our understanding of how snow properties influence sea ice thickness retrievals from presently operational and upcoming satellite radar altimeter missions, as well as investigating the potential for combining dual frequencies to simultaneously map snow depth and sea ice thickness, a new, surface-based, fully-polarimetric Ku- and Ka-band radar (KuKa radar) was built and deployed during the 2019–2020 year-long MOSAiC International Arctic drift expedition. This instrument, built to operate both as an altimeter (stare mode) and a scatterometer (scanning mode), provided the first in situ Ku- and Ka-band dual frequency radar observations from autumn freeze-up through mid-winter, and covering newly formed ice in leads, first-year and second-year ice floes. Data gathered in the altimeter mode, will be used to investigate the potential for estimating snow depth as the difference between dominant radar scattering horizons in the Ka- and Ku-band data. In the scatterometer mode, the Ku- and Ka-band radars operated under a wide range of azimuth and incidence angle ranges, continuously assessing changes in the polarimetric radar backscatter and derived polarimetric parameters, as snow properties varied under varying atmospheric conditions. These observations allow for characterizing radar backscatter responses to changes in atmospheric and surface geophysical conditions. In this paper, we describe the KuKa radar and illustrate examples of these data and demonstrate their potential for these investigations. Text Arctic Sea ice Copernicus Publications: E-Journals Arctic |
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Open Polar |
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Copernicus Publications: E-Journals |
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ftcopernicus |
language |
English |
description |
To improve our understanding of how snow properties influence sea ice thickness retrievals from presently operational and upcoming satellite radar altimeter missions, as well as investigating the potential for combining dual frequencies to simultaneously map snow depth and sea ice thickness, a new, surface-based, fully-polarimetric Ku- and Ka-band radar (KuKa radar) was built and deployed during the 2019–2020 year-long MOSAiC International Arctic drift expedition. This instrument, built to operate both as an altimeter (stare mode) and a scatterometer (scanning mode), provided the first in situ Ku- and Ka-band dual frequency radar observations from autumn freeze-up through mid-winter, and covering newly formed ice in leads, first-year and second-year ice floes. Data gathered in the altimeter mode, will be used to investigate the potential for estimating snow depth as the difference between dominant radar scattering horizons in the Ka- and Ku-band data. In the scatterometer mode, the Ku- and Ka-band radars operated under a wide range of azimuth and incidence angle ranges, continuously assessing changes in the polarimetric radar backscatter and derived polarimetric parameters, as snow properties varied under varying atmospheric conditions. These observations allow for characterizing radar backscatter responses to changes in atmospheric and surface geophysical conditions. In this paper, we describe the KuKa radar and illustrate examples of these data and demonstrate their potential for these investigations. |
format |
Text |
author |
Stroeve, Julienne Nandan, Vishnu Willatt, Rosemary Tonboe, Rasmus Hendricks, Stefan Ricker, Robert Mead, James Huntemann, Marcus Itkin, Polona Schneebeli, Martin Krampe, Daniela Spreen, Gunnar Wilkinson, Jeremy Matero, Ilkka Hoppmann, Mario Mallett, Robbie Tsamados, Michel |
spellingShingle |
Stroeve, Julienne Nandan, Vishnu Willatt, Rosemary Tonboe, Rasmus Hendricks, Stefan Ricker, Robert Mead, James Huntemann, Marcus Itkin, Polona Schneebeli, Martin Krampe, Daniela Spreen, Gunnar Wilkinson, Jeremy Matero, Ilkka Hoppmann, Mario Mallett, Robbie Tsamados, Michel Surface-Based Ku- and Ka-band Polarimetric Radar for Sea Ice Studies |
author_facet |
Stroeve, Julienne Nandan, Vishnu Willatt, Rosemary Tonboe, Rasmus Hendricks, Stefan Ricker, Robert Mead, James Huntemann, Marcus Itkin, Polona Schneebeli, Martin Krampe, Daniela Spreen, Gunnar Wilkinson, Jeremy Matero, Ilkka Hoppmann, Mario Mallett, Robbie Tsamados, Michel |
author_sort |
Stroeve, Julienne |
title |
Surface-Based Ku- and Ka-band Polarimetric Radar for Sea Ice Studies |
title_short |
Surface-Based Ku- and Ka-band Polarimetric Radar for Sea Ice Studies |
title_full |
Surface-Based Ku- and Ka-band Polarimetric Radar for Sea Ice Studies |
title_fullStr |
Surface-Based Ku- and Ka-band Polarimetric Radar for Sea Ice Studies |
title_full_unstemmed |
Surface-Based Ku- and Ka-band Polarimetric Radar for Sea Ice Studies |
title_sort |
surface-based ku- and ka-band polarimetric radar for sea ice studies |
publishDate |
2020 |
url |
https://doi.org/10.5194/tc-2020-151 https://tc.copernicus.org/preprints/tc-2020-151/ |
geographic |
Arctic |
geographic_facet |
Arctic |
genre |
Arctic Sea ice |
genre_facet |
Arctic Sea ice |
op_source |
eISSN: 1994-0424 |
op_relation |
doi:10.5194/tc-2020-151 https://tc.copernicus.org/preprints/tc-2020-151/ |
op_doi |
https://doi.org/10.5194/tc-2020-151 |
_version_ |
1766339506414288896 |