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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Online Access: | https://dx.doi.org/10.1594/pangaea.862882 https://doi.pangaea.de/10.1594/PANGAEA.862882 |
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ftdatacite:10.1594/pangaea.862882 2024-09-15T18:34:42+00:00 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 application/zip https://dx.doi.org/10.1594/pangaea.862882 https://doi.pangaea.de/10.1594/PANGAEA.862882 en eng PANGAEA https://dx.doi.org/10.1080/01490419.2015.1019655 Creative Commons Attribution Non Commercial 3.0 Unported https://creativecommons.org/licenses/by-nc/3.0/legalcode cc-by-nc-3.0 dataset Supplementary Dataset Dataset 2016 ftdatacite https://doi.org/10.1594/pangaea.86288210.1080/01490419.2015.1019655 2024-08-01T11:01:35Z 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 ... : Spatial Coverage: 65° N - 82° N, 180° E - 180° W Spatial Resolution: 0.5° x 0.5° Temporal Coverage: April 2013 to April 2016 Temporal Resolution: 1 month Algorithm validity period: December - May. Comments: in November and June the lead fraction should be taken with caution. In July - October the algorithm fails. ... Dataset Sea ice DataCite |
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Open Polar |
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ftdatacite |
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 ... : Spatial Coverage: 65° N - 82° N, 180° E - 180° W Spatial Resolution: 0.5° x 0.5° Temporal Coverage: April 2013 to April 2016 Temporal Resolution: 1 month Algorithm validity period: December - May. Comments: in November and June the lead fraction should be taken with caution. In July - October the algorithm fails. ... |
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://dx.doi.org/10.1594/pangaea.862882 https://doi.pangaea.de/10.1594/PANGAEA.862882 |
genre |
Sea ice |
genre_facet |
Sea ice |
op_relation |
https://dx.doi.org/10.1080/01490419.2015.1019655 |
op_rights |
Creative Commons Attribution Non Commercial 3.0 Unported https://creativecommons.org/licenses/by-nc/3.0/legalcode cc-by-nc-3.0 |
op_doi |
https://doi.org/10.1594/pangaea.86288210.1080/01490419.2015.1019655 |
_version_ |
1810476650880565248 |