Monthly Arctic sea ice lead fraction in 0.5° x 0.5° resolution from SARAL/Altika altimeter, link to datasets in NetCDF 4 format
Sea ice leads play an essential role in ocean-ice-atmosphere exchange, in ocean circulation, geochemistry, and in ice dynamics. Their precise detection is crucial for altimetric estimations of sea ice thickness and volume. This study evaluates the performance of the SARAL/AltiKa (Satellite with ARgo...
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ftpangaea:oai:pangaea.de:doi:10.1594/PANGAEA.862882 2023-05-15T15:06:34+02:00 Monthly Arctic sea ice lead fraction in 0.5° x 0.5° resolution from SARAL/Altika altimeter, link to datasets in NetCDF 4 format Zakharova, Elena A Fleury, Sara Guerreiro, Kévin Willmes, Sascha Rémy, Frédérique Kouraev, Alexei V Heinemann, Günther 2016-07-06 application/zip, 1.3 MBytes https://doi.pangaea.de/10.1594/PANGAEA.862882 https://doi.org/10.1594/PANGAEA.862882 en eng PANGAEA https://doi.pangaea.de/10.1594/PANGAEA.862882 https://doi.org/10.1594/PANGAEA.862882 CC-BY-NC-3.0: Creative Commons Attribution-NonCommercial 3.0 Unported Access constraints: unrestricted info:eu-repo/semantics/openAccess CC-BY-NC Supplement to: Zakharova, Elena A; Fleury, Sara; Guerreiro, Kévin; Willmes, Sascha; Rémy, Frédérique; Kouraev, Alexei V; Heinemann, Günther (2015): Sea ice leads detection using SARAL/AltiKa altimeter. Marine Geodesy, 38(sup1), 522-533, https://doi.org/10.1080/01490419.2015.1019655 Dataset 2016 ftpangaea https://doi.org/10.1594/PANGAEA.862882 https://doi.org/10.1080/01490419.2015.1019655 2023-01-20T09:07:26Z Sea ice leads play an essential role in ocean-ice-atmosphere exchange, in ocean circulation, geochemistry, and in ice dynamics. Their precise detection is crucial for altimetric estimations of sea ice thickness and volume. This study evaluates the performance of the SARAL/AltiKa (Satellite with ARgos and ALtiKa) altimeter to detect leads and to monitor their spatio-temporal dynamics. We show that a pulse peakiness parameter (PP) used to detect leads by Envisat RA-2 and ERS-1,-2 altimeters is not suitable because of saturation of AltiKa return echoes over the leads. The signal saturation results in loss of 6–10% of PP data over sea ice. We propose a different parameter—maximal power of waveform—and define the threshold to discriminate the leads. Our algorithm can be applied from December until May. It detects well the leads of small and medium size from 200 m to 3–4 km. So the combination of the high-resolution altimetric estimates with low-resolution thermal infra-red or radiometric lead fraction products could enhance the capability of remote sensing to monitor sea ice fracturing. Dataset Arctic Sea ice PANGAEA - Data Publisher for Earth & Environmental Science Arctic |
institution |
Open Polar |
collection |
PANGAEA - Data Publisher for Earth & Environmental Science |
op_collection_id |
ftpangaea |
language |
English |
description |
Sea ice leads play an essential role in ocean-ice-atmosphere exchange, in ocean circulation, geochemistry, and in ice dynamics. Their precise detection is crucial for altimetric estimations of sea ice thickness and volume. This study evaluates the performance of the SARAL/AltiKa (Satellite with ARgos and ALtiKa) altimeter to detect leads and to monitor their spatio-temporal dynamics. We show that a pulse peakiness parameter (PP) used to detect leads by Envisat RA-2 and ERS-1,-2 altimeters is not suitable because of saturation of AltiKa return echoes over the leads. The signal saturation results in loss of 6–10% of PP data over sea ice. We propose a different parameter—maximal power of waveform—and define the threshold to discriminate the leads. Our algorithm can be applied from December until May. It detects well the leads of small and medium size from 200 m to 3–4 km. So the combination of the high-resolution altimetric estimates with low-resolution thermal infra-red or radiometric lead fraction products could enhance the capability of remote sensing to monitor sea ice fracturing. |
format |
Dataset |
author |
Zakharova, Elena A Fleury, Sara Guerreiro, Kévin Willmes, Sascha Rémy, Frédérique Kouraev, Alexei V Heinemann, Günther |
spellingShingle |
Zakharova, Elena A Fleury, Sara Guerreiro, Kévin Willmes, Sascha Rémy, Frédérique Kouraev, Alexei V Heinemann, Günther Monthly Arctic sea ice lead fraction in 0.5° x 0.5° resolution from SARAL/Altika altimeter, link to datasets in NetCDF 4 format |
author_facet |
Zakharova, Elena A Fleury, Sara Guerreiro, Kévin Willmes, Sascha Rémy, Frédérique Kouraev, Alexei V Heinemann, Günther |
author_sort |
Zakharova, Elena A |
title |
Monthly Arctic sea ice lead fraction in 0.5° x 0.5° resolution from SARAL/Altika altimeter, link to datasets in NetCDF 4 format |
title_short |
Monthly Arctic sea ice lead fraction in 0.5° x 0.5° resolution from SARAL/Altika altimeter, link to datasets in NetCDF 4 format |
title_full |
Monthly Arctic sea ice lead fraction in 0.5° x 0.5° resolution from SARAL/Altika altimeter, link to datasets in NetCDF 4 format |
title_fullStr |
Monthly Arctic sea ice lead fraction in 0.5° x 0.5° resolution from SARAL/Altika altimeter, link to datasets in NetCDF 4 format |
title_full_unstemmed |
Monthly Arctic sea ice lead fraction in 0.5° x 0.5° resolution from SARAL/Altika altimeter, link to datasets in NetCDF 4 format |
title_sort |
monthly arctic sea ice lead fraction in 0.5° x 0.5° resolution from saral/altika altimeter, link to datasets in netcdf 4 format |
publisher |
PANGAEA |
publishDate |
2016 |
url |
https://doi.pangaea.de/10.1594/PANGAEA.862882 https://doi.org/10.1594/PANGAEA.862882 |
geographic |
Arctic |
geographic_facet |
Arctic |
genre |
Arctic Sea ice |
genre_facet |
Arctic Sea ice |
op_source |
Supplement to: Zakharova, Elena A; Fleury, Sara; Guerreiro, Kévin; Willmes, Sascha; Rémy, Frédérique; Kouraev, Alexei V; Heinemann, Günther (2015): Sea ice leads detection using SARAL/AltiKa altimeter. Marine Geodesy, 38(sup1), 522-533, https://doi.org/10.1080/01490419.2015.1019655 |
op_relation |
https://doi.pangaea.de/10.1594/PANGAEA.862882 https://doi.org/10.1594/PANGAEA.862882 |
op_rights |
CC-BY-NC-3.0: Creative Commons Attribution-NonCommercial 3.0 Unported Access constraints: unrestricted info:eu-repo/semantics/openAccess |
op_rightsnorm |
CC-BY-NC |
op_doi |
https://doi.org/10.1594/PANGAEA.862882 https://doi.org/10.1080/01490419.2015.1019655 |
_version_ |
1766338153631711232 |