Error assessment of satellite-derived lead fraction in the Arctic

Leads within consolidated sea ice control heat exchange between the ocean and the atmosphere during winter, thus constituting an important climate parameter. These narrow elongated features occur when sea ice is fracturing under the action of wind and currents, reducing the local mechanical strength...

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Main Authors: N. Ivanova, P. Rampal, S. Bouillon
Format: Article
Language:English
Published: Copernicus Publications 2016-03-01
Series:The Cryosphere
Online Access:http://www.the-cryosphere.net/10/585/2016/tc-10-585-2016.pdf
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author N. Ivanova
P. Rampal
S. Bouillon
author_facet N. Ivanova
P. Rampal
S. Bouillon
author_sort N. Ivanova
collection DOAJ
description Leads within consolidated sea ice control heat exchange between the ocean and the atmosphere during winter, thus constituting an important climate parameter. These narrow elongated features occur when sea ice is fracturing under the action of wind and currents, reducing the local mechanical strength of the ice cover, which in turn impact the sea ice drift pattern. This creates a high demand for a high-quality lead fraction (LF) data set for sea ice model evaluation, initialization, and for the assimilation of such data in regional models. In this context, an available LF data set retrieved from satellite passive microwave observations (Advanced Microwave Scanning Radiometer – Earth Observing System, AMSR-E) is of great value, which has been providing pan-Arctic light- and cloud-independent daily coverage since 2002. In this study errors in this data set are quantified using accurate LF estimates retrieved from Synthetic Aperture Radar (SAR) images employing a threshold technique. A consistent overestimation of LF by a factor of 2–4 is found in the AMSR-E LF product. It is shown that a simple adjustment of the upper tie point used in the method to estimate the LF can reduce the pixel-wise error by a factor of 2 on average. Applying such an adjustment to the full data set may thus significantly increase the quality and value of the original data set.
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spelling doaj.art-a9824a551eaf4633aa7600b207abb6412022-12-21T22:59:30ZengCopernicus PublicationsThe Cryosphere1994-04161994-04242016-03-0110258559510.5194/tc-10-585-2016Error assessment of satellite-derived lead fraction in the ArcticN. Ivanova0P. Rampal1S. Bouillon2Nansen Environmental and Remote Sensing Center, and Bjerknes Centre for Climate Research, Bergen, NorwayNansen Environmental and Remote Sensing Center, and Bjerknes Centre for Climate Research, Bergen, NorwayNansen Environmental and Remote Sensing Center, and Bjerknes Centre for Climate Research, Bergen, NorwayLeads within consolidated sea ice control heat exchange between the ocean and the atmosphere during winter, thus constituting an important climate parameter. These narrow elongated features occur when sea ice is fracturing under the action of wind and currents, reducing the local mechanical strength of the ice cover, which in turn impact the sea ice drift pattern. This creates a high demand for a high-quality lead fraction (LF) data set for sea ice model evaluation, initialization, and for the assimilation of such data in regional models. In this context, an available LF data set retrieved from satellite passive microwave observations (Advanced Microwave Scanning Radiometer – Earth Observing System, AMSR-E) is of great value, which has been providing pan-Arctic light- and cloud-independent daily coverage since 2002. In this study errors in this data set are quantified using accurate LF estimates retrieved from Synthetic Aperture Radar (SAR) images employing a threshold technique. A consistent overestimation of LF by a factor of 2–4 is found in the AMSR-E LF product. It is shown that a simple adjustment of the upper tie point used in the method to estimate the LF can reduce the pixel-wise error by a factor of 2 on average. Applying such an adjustment to the full data set may thus significantly increase the quality and value of the original data set.http://www.the-cryosphere.net/10/585/2016/tc-10-585-2016.pdf
spellingShingle N. Ivanova
P. Rampal
S. Bouillon
Error assessment of satellite-derived lead fraction in the Arctic
The Cryosphere
title Error assessment of satellite-derived lead fraction in the Arctic
title_full Error assessment of satellite-derived lead fraction in the Arctic
title_fullStr Error assessment of satellite-derived lead fraction in the Arctic
title_full_unstemmed Error assessment of satellite-derived lead fraction in the Arctic
title_short Error assessment of satellite-derived lead fraction in the Arctic
title_sort error assessment of satellite derived lead fraction in the arctic
url http://www.the-cryosphere.net/10/585/2016/tc-10-585-2016.pdf
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