Improving passive microwave sea ice concentration algorithms for coastal areas: applications to the Baltic Sea

Sea ice concentration can be retrieved from passive microwave data using the NASA Team algorithm or the Artist Sea Ice (ASI) algorithm, for example. The brightness temperature measurements obtained from the Special Sensor Microwave Imager (SSM/I) instrument or the Advanced Microwave Scanning Radiome...

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Published in:Tellus A
Main Authors: Maass, N., Kaleschke, L.
Format: Article in Journal/Newspaper
Language:English
Published: 2010
Subjects:
Online Access:http://hdl.handle.net/11858/00-001M-0000-0015-1DF9-5
http://hdl.handle.net/11858/00-001M-0000-0015-1DFC-0
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spelling ftpubman:oai:pure.mpg.de:item_1920141 2024-09-15T18:34:45+00:00 Improving passive microwave sea ice concentration algorithms for coastal areas: applications to the Baltic Sea Maass, N. Kaleschke, L. 2010-08 application/pdf http://hdl.handle.net/11858/00-001M-0000-0015-1DF9-5 http://hdl.handle.net/11858/00-001M-0000-0015-1DFC-0 eng eng info:eu-repo/semantics/altIdentifier/doi/10.1111/j.1600-0870.2010.00452.x http://hdl.handle.net/11858/00-001M-0000-0015-1DF9-5 http://hdl.handle.net/11858/00-001M-0000-0015-1DFC-0 info:eu-repo/semantics/openAccess Tellus Series A-Dynamic Meteorology and Oceanography info:eu-repo/semantics/article 2010 ftpubman https://doi.org/10.1111/j.1600-0870.2010.00452.x 2024-07-31T09:31:26Z Sea ice concentration can be retrieved from passive microwave data using the NASA Team algorithm or the Artist Sea Ice (ASI) algorithm, for example. The brightness temperature measurements obtained from the Special Sensor Microwave Imager (SSM/I) instrument or the Advanced Microwave Scanning Radiometer-EOS (AMSR-E) are commonly used for this purpose. Due to the coarse resolution of these instruments considerable systematic ice concentration errors in coastal regions occur. In the vicinity of the coast the instrument footprints usually contain both land and sea surfaces. Compared to sea surfaces, land surfaces are characterized by higher emissivities and lower polarization differences at the involved microwave channels. Thus, a systematic overestimation of coastal ice concentration is caused. In this paper, a method is developed to remove the land impact on the observed radiation. Combining a high-resolution data set for the shoreline and the antenna gain function the brightness temperature contribution originating from land surfaces can be identified. The brightness temperature related to the ocean fraction within the considered footprint can then be extracted. This separation technique is applied to SSM/I measurements in the Baltic Sea and the resulting ice concentration fields are compared to high-resolution satellite images. The highly complex shoreline of the Baltic Sea region provides an ideal area for testing the method. However, the presented approach can as well be applied to Arctic coastal regions. It is shown that the method considerably improves ice concentration retrieval in regions influenced by land surfaces without removing actually existing sea ice. Article in Journal/Newspaper Sea ice Max Planck Society: MPG.PuRe Tellus A 62 4 393 410
institution Open Polar
collection Max Planck Society: MPG.PuRe
op_collection_id ftpubman
language English
description Sea ice concentration can be retrieved from passive microwave data using the NASA Team algorithm or the Artist Sea Ice (ASI) algorithm, for example. The brightness temperature measurements obtained from the Special Sensor Microwave Imager (SSM/I) instrument or the Advanced Microwave Scanning Radiometer-EOS (AMSR-E) are commonly used for this purpose. Due to the coarse resolution of these instruments considerable systematic ice concentration errors in coastal regions occur. In the vicinity of the coast the instrument footprints usually contain both land and sea surfaces. Compared to sea surfaces, land surfaces are characterized by higher emissivities and lower polarization differences at the involved microwave channels. Thus, a systematic overestimation of coastal ice concentration is caused. In this paper, a method is developed to remove the land impact on the observed radiation. Combining a high-resolution data set for the shoreline and the antenna gain function the brightness temperature contribution originating from land surfaces can be identified. The brightness temperature related to the ocean fraction within the considered footprint can then be extracted. This separation technique is applied to SSM/I measurements in the Baltic Sea and the resulting ice concentration fields are compared to high-resolution satellite images. The highly complex shoreline of the Baltic Sea region provides an ideal area for testing the method. However, the presented approach can as well be applied to Arctic coastal regions. It is shown that the method considerably improves ice concentration retrieval in regions influenced by land surfaces without removing actually existing sea ice.
format Article in Journal/Newspaper
author Maass, N.
Kaleschke, L.
spellingShingle Maass, N.
Kaleschke, L.
Improving passive microwave sea ice concentration algorithms for coastal areas: applications to the Baltic Sea
author_facet Maass, N.
Kaleschke, L.
author_sort Maass, N.
title Improving passive microwave sea ice concentration algorithms for coastal areas: applications to the Baltic Sea
title_short Improving passive microwave sea ice concentration algorithms for coastal areas: applications to the Baltic Sea
title_full Improving passive microwave sea ice concentration algorithms for coastal areas: applications to the Baltic Sea
title_fullStr Improving passive microwave sea ice concentration algorithms for coastal areas: applications to the Baltic Sea
title_full_unstemmed Improving passive microwave sea ice concentration algorithms for coastal areas: applications to the Baltic Sea
title_sort improving passive microwave sea ice concentration algorithms for coastal areas: applications to the baltic sea
publishDate 2010
url http://hdl.handle.net/11858/00-001M-0000-0015-1DF9-5
http://hdl.handle.net/11858/00-001M-0000-0015-1DFC-0
genre Sea ice
genre_facet Sea ice
op_source Tellus Series A-Dynamic Meteorology and Oceanography
op_relation info:eu-repo/semantics/altIdentifier/doi/10.1111/j.1600-0870.2010.00452.x
http://hdl.handle.net/11858/00-001M-0000-0015-1DF9-5
http://hdl.handle.net/11858/00-001M-0000-0015-1DFC-0
op_rights info:eu-repo/semantics/openAccess
op_doi https://doi.org/10.1111/j.1600-0870.2010.00452.x
container_title Tellus A
container_volume 62
container_issue 4
container_start_page 393
op_container_end_page 410
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