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...
Main Authors: | , , , , , , |
---|---|
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 |
_version_ |
1767957358838808576 |