Resolution enhanced sea ice concentration: a new algorithm applied to AMSR2 microwave radiometry data
Passive-microwave sea ice concentration (SIC) algorithms employ different frequencies and polarisations in their operational implementations. Commonly, these algorithms utilise combinations such as 19/37 GHz, yielding reduced measurement uncertainties but at a coarse spatial resolution. Alternativel...
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Online Access: | https://hdl.handle.net/10037/34490 https://doi.org/10.1017/aog.2024.6 |
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ftunivtroemsoe:oai:munin.uit.no:10037/34490 2024-09-15T17:39:53+00:00 Resolution enhanced sea ice concentration: a new algorithm applied to AMSR2 microwave radiometry data Rusin, Jozef Lavergne, Thomas Doulgeris, Anthony Paul Scott, K. Andrea 2024-01-30 https://hdl.handle.net/10037/34490 https://doi.org/10.1017/aog.2024.6 eng eng Cambridge University Press Annals of Glaciology Rusin, Lavergne, Doulgeris, Scott. Resolution enhanced sea ice concentration: a new algorithm applied to AMSR2 microwave radiometry data. Annals of Glaciology. 2024:1-12 FRIDAID 2250673 doi:10.1017/aog.2024.6 0260-3055 1727-5644 https://hdl.handle.net/10037/34490 Attribution 4.0 International (CC BY 4.0) openAccess Copyright 2024 The Author(s) https://creativecommons.org/licenses/by/4.0 Journal article Tidsskriftartikkel Peer reviewed publishedVersion 2024 ftunivtroemsoe https://doi.org/10.1017/aog.2024.6 2024-09-03T23:47:48Z Passive-microwave sea ice concentration (SIC) algorithms employ different frequencies and polarisations in their operational implementations. Commonly, these algorithms utilise combinations such as 19/37 GHz, yielding reduced measurement uncertainties but at a coarse spatial resolution. Alternatively, these algorithms can solely use 89 GHz, producing a higher spatial resolution but with increased measurement uncertainties. This study evaluates the application of a resolution-enhancing SIC algorithm (reSICCI3LF), initially developed for the coarser Special Sensor Microwave Imager / Sounder, on the Advanced Microwave Scanning Radiometer. By applying reSICCI3LF, we aim to produce a 5 km SIC for 2013–2020 in the Fram Strait and the Barents and Kara Sea region that gains the benefits of both types of algo rithms, high spatial resolution and low measurement uncertainty. We present the algorithm tuning, spectral analysis of spatial resolutions, and validation against the Round Robin Data Package of 0% and 100% SIC points and SIC derived from Landsat-8. The findings demonstrate that the reSICCI3LF algorithm produces a SIC field with fine details, achieving a balance between high spatial resolution and lower measurement uncertainties compared to a 89 GHz based SIC. Consequently, this resolution-enhanced SIC technique can potentially initialise higher-resolution coupled ocean and sea ice forecasting systems through data assimilation. Article in Journal/Newspaper Annals of Glaciology Fram Strait Kara Sea Sea ice University of Tromsø: Munin Open Research Archive Annals of Glaciology 1 12 |
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University of Tromsø: Munin Open Research Archive |
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ftunivtroemsoe |
language |
English |
description |
Passive-microwave sea ice concentration (SIC) algorithms employ different frequencies and polarisations in their operational implementations. Commonly, these algorithms utilise combinations such as 19/37 GHz, yielding reduced measurement uncertainties but at a coarse spatial resolution. Alternatively, these algorithms can solely use 89 GHz, producing a higher spatial resolution but with increased measurement uncertainties. This study evaluates the application of a resolution-enhancing SIC algorithm (reSICCI3LF), initially developed for the coarser Special Sensor Microwave Imager / Sounder, on the Advanced Microwave Scanning Radiometer. By applying reSICCI3LF, we aim to produce a 5 km SIC for 2013–2020 in the Fram Strait and the Barents and Kara Sea region that gains the benefits of both types of algo rithms, high spatial resolution and low measurement uncertainty. We present the algorithm tuning, spectral analysis of spatial resolutions, and validation against the Round Robin Data Package of 0% and 100% SIC points and SIC derived from Landsat-8. The findings demonstrate that the reSICCI3LF algorithm produces a SIC field with fine details, achieving a balance between high spatial resolution and lower measurement uncertainties compared to a 89 GHz based SIC. Consequently, this resolution-enhanced SIC technique can potentially initialise higher-resolution coupled ocean and sea ice forecasting systems through data assimilation. |
format |
Article in Journal/Newspaper |
author |
Rusin, Jozef Lavergne, Thomas Doulgeris, Anthony Paul Scott, K. Andrea |
spellingShingle |
Rusin, Jozef Lavergne, Thomas Doulgeris, Anthony Paul Scott, K. Andrea Resolution enhanced sea ice concentration: a new algorithm applied to AMSR2 microwave radiometry data |
author_facet |
Rusin, Jozef Lavergne, Thomas Doulgeris, Anthony Paul Scott, K. Andrea |
author_sort |
Rusin, Jozef |
title |
Resolution enhanced sea ice concentration: a new algorithm applied to AMSR2 microwave radiometry data |
title_short |
Resolution enhanced sea ice concentration: a new algorithm applied to AMSR2 microwave radiometry data |
title_full |
Resolution enhanced sea ice concentration: a new algorithm applied to AMSR2 microwave radiometry data |
title_fullStr |
Resolution enhanced sea ice concentration: a new algorithm applied to AMSR2 microwave radiometry data |
title_full_unstemmed |
Resolution enhanced sea ice concentration: a new algorithm applied to AMSR2 microwave radiometry data |
title_sort |
resolution enhanced sea ice concentration: a new algorithm applied to amsr2 microwave radiometry data |
publisher |
Cambridge University Press |
publishDate |
2024 |
url |
https://hdl.handle.net/10037/34490 https://doi.org/10.1017/aog.2024.6 |
genre |
Annals of Glaciology Fram Strait Kara Sea Sea ice |
genre_facet |
Annals of Glaciology Fram Strait Kara Sea Sea ice |
op_relation |
Annals of Glaciology Rusin, Lavergne, Doulgeris, Scott. Resolution enhanced sea ice concentration: a new algorithm applied to AMSR2 microwave radiometry data. Annals of Glaciology. 2024:1-12 FRIDAID 2250673 doi:10.1017/aog.2024.6 0260-3055 1727-5644 https://hdl.handle.net/10037/34490 |
op_rights |
Attribution 4.0 International (CC BY 4.0) openAccess Copyright 2024 The Author(s) https://creativecommons.org/licenses/by/4.0 |
op_doi |
https://doi.org/10.1017/aog.2024.6 |
container_title |
Annals of Glaciology |
container_start_page |
1 |
op_container_end_page |
12 |
_version_ |
1810483248966402048 |