Sea ice modeling and remote sensing in the Barents and Kara Seas. Part B: Remote Sensing

This report describes the satellite remote sensing activities performed in 2005. We have collected and analysed several types of satellite data that can quantify some of the sea ice and iceberg properties that are important for planning of Statoil’s activities in the Barents and Kara Sea region. Dai...

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Main Authors: Sandven, Stein, Bertino, Laurent, Lisæter, Knut Arild, Keghouche, Intissar, Sagen, Hanne, Kloster, Kjell, Babiker, Mohamed
Format: Report
Language:English
Published: 2006
Subjects:
Online Access:https://zenodo.org/record/7550561
https://doi.org/10.5281/zenodo.7550561
id ftzenodo:oai:zenodo.org:7550561
record_format openpolar
spelling ftzenodo:oai:zenodo.org:7550561 2023-06-06T11:51:41+02:00 Sea ice modeling and remote sensing in the Barents and Kara Seas. Part B: Remote Sensing Sandven, Stein Bertino, Laurent Lisæter, Knut Arild Keghouche, Intissar Sagen, Hanne Kloster, Kjell Babiker, Mohamed 2006-01-20 https://zenodo.org/record/7550561 https://doi.org/10.5281/zenodo.7550561 eng eng doi:10.5281/zenodo.7550560 https://zenodo.org/communities/nersc-research https://zenodo.org/record/7550561 https://doi.org/10.5281/zenodo.7550561 oai:zenodo.org:7550561 info:eu-repo/semantics/openAccess https://creativecommons.org/licenses/by/4.0/legalcode Arctic Barents Sea Kara Sea Sea ice Iceberg Synthetic Aperture Radar Ice drift Forecast Detection info:eu-repo/semantics/report publication-report 2006 ftzenodo https://doi.org/10.5281/zenodo.755056110.5281/zenodo.7550560 2023-04-13T21:58:03Z This report describes the satellite remote sensing activities performed in 2005. We have collected and analysed several types of satellite data that can quantify some of the sea ice and iceberg properties that are important for planning of Statoil’s activities in the Barents and Kara Sea region. Daily passive microwave data are useful for mapping ice concentration and ice extent on regional scale in order to follow the ice edge and ice drift. These parameters are needed as input data in sea ice and iceberg drift models. At present daily, near real-time data are assimilated in the TOPAZ ice forecasting model, and will be used also in the Barents Sea model. For detailed mapping of ice types, ice concentration, ice drift, ice convergence/divergence, multiyear floes, ridges and leads SAR images have been collected for most of the study period in 2005. Several examples of analysis of the SAR images, including ice drift retrieval, have been shown. From February SAR wideswath mosaics have been made more or less regularly throughout the year in the Barents/Kara Sea region. This demonstrates how ice mapping can be improved compared to the standard ice charts delivered by the national ice services. 2005 is the fist year when such SAR mosaics are produced in the Barents/Kara Sea region. SAR is the most important space instrument for mapping sea ice properties in support of ice operations and navigation. For iceberg detection, high resolution optical images have been demonstrated in the Franz Josef Land area. In one ASTER image more that 100 icebergs were found embedded in the fastice surrounding the archipelago in May 2005. For monitoring of iceberg production and iceberg drift, it is useful to have a systematic scheme for optical as well as SAR images with sufficient high resolution. Use of satellite altimeter data for ice surface topography, ridges and thickness mapping has been investigated with examples of IceSat data from 2003. NERSC Technical Report no. 267 b. Funded by STATOIL ASA Report Arctic Barents Sea Franz Josef Land Iceberg* Kara Sea Sea ice Zenodo Arctic Barents Sea Kara Sea Franz Josef Land ENVELOPE(55.000,55.000,81.000,81.000)
institution Open Polar
collection Zenodo
op_collection_id ftzenodo
language English
topic Arctic
Barents Sea
Kara Sea
Sea ice
Iceberg
Synthetic Aperture Radar
Ice drift
Forecast
Detection
spellingShingle Arctic
Barents Sea
Kara Sea
Sea ice
Iceberg
Synthetic Aperture Radar
Ice drift
Forecast
Detection
Sandven, Stein
Bertino, Laurent
Lisæter, Knut Arild
Keghouche, Intissar
Sagen, Hanne
Kloster, Kjell
Babiker, Mohamed
Sea ice modeling and remote sensing in the Barents and Kara Seas. Part B: Remote Sensing
topic_facet Arctic
Barents Sea
Kara Sea
Sea ice
Iceberg
Synthetic Aperture Radar
Ice drift
Forecast
Detection
description This report describes the satellite remote sensing activities performed in 2005. We have collected and analysed several types of satellite data that can quantify some of the sea ice and iceberg properties that are important for planning of Statoil’s activities in the Barents and Kara Sea region. Daily passive microwave data are useful for mapping ice concentration and ice extent on regional scale in order to follow the ice edge and ice drift. These parameters are needed as input data in sea ice and iceberg drift models. At present daily, near real-time data are assimilated in the TOPAZ ice forecasting model, and will be used also in the Barents Sea model. For detailed mapping of ice types, ice concentration, ice drift, ice convergence/divergence, multiyear floes, ridges and leads SAR images have been collected for most of the study period in 2005. Several examples of analysis of the SAR images, including ice drift retrieval, have been shown. From February SAR wideswath mosaics have been made more or less regularly throughout the year in the Barents/Kara Sea region. This demonstrates how ice mapping can be improved compared to the standard ice charts delivered by the national ice services. 2005 is the fist year when such SAR mosaics are produced in the Barents/Kara Sea region. SAR is the most important space instrument for mapping sea ice properties in support of ice operations and navigation. For iceberg detection, high resolution optical images have been demonstrated in the Franz Josef Land area. In one ASTER image more that 100 icebergs were found embedded in the fastice surrounding the archipelago in May 2005. For monitoring of iceberg production and iceberg drift, it is useful to have a systematic scheme for optical as well as SAR images with sufficient high resolution. Use of satellite altimeter data for ice surface topography, ridges and thickness mapping has been investigated with examples of IceSat data from 2003. NERSC Technical Report no. 267 b. Funded by STATOIL ASA
format Report
author Sandven, Stein
Bertino, Laurent
Lisæter, Knut Arild
Keghouche, Intissar
Sagen, Hanne
Kloster, Kjell
Babiker, Mohamed
author_facet Sandven, Stein
Bertino, Laurent
Lisæter, Knut Arild
Keghouche, Intissar
Sagen, Hanne
Kloster, Kjell
Babiker, Mohamed
author_sort Sandven, Stein
title Sea ice modeling and remote sensing in the Barents and Kara Seas. Part B: Remote Sensing
title_short Sea ice modeling and remote sensing in the Barents and Kara Seas. Part B: Remote Sensing
title_full Sea ice modeling and remote sensing in the Barents and Kara Seas. Part B: Remote Sensing
title_fullStr Sea ice modeling and remote sensing in the Barents and Kara Seas. Part B: Remote Sensing
title_full_unstemmed Sea ice modeling and remote sensing in the Barents and Kara Seas. Part B: Remote Sensing
title_sort sea ice modeling and remote sensing in the barents and kara seas. part b: remote sensing
publishDate 2006
url https://zenodo.org/record/7550561
https://doi.org/10.5281/zenodo.7550561
long_lat ENVELOPE(55.000,55.000,81.000,81.000)
geographic Arctic
Barents Sea
Kara Sea
Franz Josef Land
geographic_facet Arctic
Barents Sea
Kara Sea
Franz Josef Land
genre Arctic
Barents Sea
Franz Josef Land
Iceberg*
Kara Sea
Sea ice
genre_facet Arctic
Barents Sea
Franz Josef Land
Iceberg*
Kara Sea
Sea ice
op_relation doi:10.5281/zenodo.7550560
https://zenodo.org/communities/nersc-research
https://zenodo.org/record/7550561
https://doi.org/10.5281/zenodo.7550561
oai:zenodo.org:7550561
op_rights info:eu-repo/semantics/openAccess
https://creativecommons.org/licenses/by/4.0/legalcode
op_doi https://doi.org/10.5281/zenodo.755056110.5281/zenodo.7550560
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