Agreement and Complementarity of Sea Ice Drift Products

Changes in Arctic sea ice have raised questions about changes in sea ice drift patterns. Reduced sea ice coverage may open up the Arctic to further exploration of maritime activities, particularly during the summer months. Given such changes, it is important to investigate differences between availa...

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Published in:IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
Main Authors: Johansson, Malin, Berg, Anders
Language:unknown
Published: 2016
Subjects:
Online Access:https://doi.org/10.1109/JSTARS.2015.2506786
https://research.chalmers.se/en/publication/230377
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spelling ftchalmersuniv:oai:research.chalmers.se:230377 2023-05-15T15:00:04+02:00 Agreement and Complementarity of Sea Ice Drift Products Johansson, Malin Berg, Anders 2016 text https://doi.org/10.1109/JSTARS.2015.2506786 https://research.chalmers.se/en/publication/230377 unknown http://dx.doi.org/10.1109/JSTARS.2015.2506786 https://research.chalmers.se/en/publication/230377 Remote Sensing Oceanography Hydrology Water Resources Probability Theory and Statistics synthetic aperture radar (SAR) Radiometry time series sea ice 2016 ftchalmersuniv https://doi.org/10.1109/JSTARS.2015.2506786 2022-12-11T07:17:33Z Changes in Arctic sea ice have raised questions about changes in sea ice drift patterns. Reduced sea ice coverage may open up the Arctic to further exploration of maritime activities, particularly during the summer months. Given such changes, it is important to investigate differences between available sea ice drift products. Products based on synthetic aperture radar (SAR), radar scatterometer, and radiometer are compared for both motion speed and direction within this study. Two C-band SAR and one L-band SAR product are used in the comparison. Differences in temporal and spatial resolutions of the drift estimates spanning from July 2010 until June 2011 are investigated. High temporal and spatial resolution was proven useful to fully capture the sea ice drift in the Fram Strait. For summer coverage, SAR data are a prerequisite and L-band is desirable. The two C-band SAR products have a mean speed correlation of 0.90 and exhibit high conformity, despite being generated by separate processing methods. The L-band SAR product and the scatterometer and radiometer products are to a lower degree in agreement with each other and the C-band SAR products, which may be attributed to the products’ dependency on the temporal baseline. Depending on the choice of sensor or combination of sensors, the resulting 12-month mean drift varies between 0.09 and 0.12 m/s excluding L-band SAR. The latter shows a particularly low drift of 0.05 m/s, which we attribute to an over-representation of slow ice. Other/Unknown Material Arctic Fram Strait Sea ice Chalmers University of Technology: Chalmers research Arctic IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing 9 1 369 380
institution Open Polar
collection Chalmers University of Technology: Chalmers research
op_collection_id ftchalmersuniv
language unknown
topic Remote Sensing
Oceanography
Hydrology
Water Resources
Probability Theory and Statistics
synthetic aperture radar (SAR)
Radiometry
time series
sea ice
spellingShingle Remote Sensing
Oceanography
Hydrology
Water Resources
Probability Theory and Statistics
synthetic aperture radar (SAR)
Radiometry
time series
sea ice
Johansson, Malin
Berg, Anders
Agreement and Complementarity of Sea Ice Drift Products
topic_facet Remote Sensing
Oceanography
Hydrology
Water Resources
Probability Theory and Statistics
synthetic aperture radar (SAR)
Radiometry
time series
sea ice
description Changes in Arctic sea ice have raised questions about changes in sea ice drift patterns. Reduced sea ice coverage may open up the Arctic to further exploration of maritime activities, particularly during the summer months. Given such changes, it is important to investigate differences between available sea ice drift products. Products based on synthetic aperture radar (SAR), radar scatterometer, and radiometer are compared for both motion speed and direction within this study. Two C-band SAR and one L-band SAR product are used in the comparison. Differences in temporal and spatial resolutions of the drift estimates spanning from July 2010 until June 2011 are investigated. High temporal and spatial resolution was proven useful to fully capture the sea ice drift in the Fram Strait. For summer coverage, SAR data are a prerequisite and L-band is desirable. The two C-band SAR products have a mean speed correlation of 0.90 and exhibit high conformity, despite being generated by separate processing methods. The L-band SAR product and the scatterometer and radiometer products are to a lower degree in agreement with each other and the C-band SAR products, which may be attributed to the products’ dependency on the temporal baseline. Depending on the choice of sensor or combination of sensors, the resulting 12-month mean drift varies between 0.09 and 0.12 m/s excluding L-band SAR. The latter shows a particularly low drift of 0.05 m/s, which we attribute to an over-representation of slow ice.
author Johansson, Malin
Berg, Anders
author_facet Johansson, Malin
Berg, Anders
author_sort Johansson, Malin
title Agreement and Complementarity of Sea Ice Drift Products
title_short Agreement and Complementarity of Sea Ice Drift Products
title_full Agreement and Complementarity of Sea Ice Drift Products
title_fullStr Agreement and Complementarity of Sea Ice Drift Products
title_full_unstemmed Agreement and Complementarity of Sea Ice Drift Products
title_sort agreement and complementarity of sea ice drift products
publishDate 2016
url https://doi.org/10.1109/JSTARS.2015.2506786
https://research.chalmers.se/en/publication/230377
geographic Arctic
geographic_facet Arctic
genre Arctic
Fram Strait
Sea ice
genre_facet Arctic
Fram Strait
Sea ice
op_relation http://dx.doi.org/10.1109/JSTARS.2015.2506786
https://research.chalmers.se/en/publication/230377
op_doi https://doi.org/10.1109/JSTARS.2015.2506786
container_title IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
container_volume 9
container_issue 1
container_start_page 369
op_container_end_page 380
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