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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Main Authors: Zakharova, Elena A, Fleury, Sara, Guerreiro, Kévin, Willmes, Sascha, Rémy, Frédérique, Kouraev, Alexei V, Heinemann, Günther
Format: Dataset
Language:English
Published: PANGAEA 2016
Subjects:
Online Access:https://dx.doi.org/10.1594/pangaea.862882
https://doi.pangaea.de/10.1594/PANGAEA.862882
id ftdatacite:10.1594/pangaea.862882
record_format openpolar
spelling 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
institution Open Polar
collection DataCite
op_collection_id 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
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