Bayesian sea ice detection with the advanced scatterometer ASCAT
This paper details the construction of a Bayesian sea ice detection algorithm for the C-band Advanced Scatterometer ASCAT onboard MetOp based on probabilistic distances to ocean wind and sea ice geophysical model functions. The performance of the algorithm is validated against coincident active and...
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ftncar:oai:drupal-site.org:articles_11780 2023-05-15T18:16:11+02:00 Bayesian sea ice detection with the advanced scatterometer ASCAT Belmonte Rivas, Maria (Maria Belmonte Rivas) (authoraut) Verspeek, Jeroen (Jeroen Verspeek) (authoraut) Verhoef, Anton (Anton Verhoef) (authoraut) Stoffelen, Ad (Ad Stoffelen) (authoraut) https://doi.org/10.1109/TGRS.2011.2182356 http://n2t.net/ark:/85065/d7p26zs6 en eng Institute of Electrical and Electronics Engineers IEEE Transactions on Geoscience and Remote Sensing http://dx.doi.org/10.1109/TGRS.2011.2182356 articles:11780 uri: http://nldr.library.ucar.edu/repository/collections/OSGC-000-000-010-497 doi:10.1109/TGRS.2011.2182356 ark:/85065/d7p26zs6 http://n2t.net/ark:/85065/d7p26zs6 Copyright 2012 IEEE. Text article ftncar https://doi.org/10.1109/TGRS.2011.2182356 2022-08-09T17:20:05Z This paper details the construction of a Bayesian sea ice detection algorithm for the C-band Advanced Scatterometer ASCAT onboard MetOp based on probabilistic distances to ocean wind and sea ice geophysical model functions. The performance of the algorithm is validated against coincident active and passive microwave sea ice extents on a global scale across the seasons. The comparison between the ASCAT, QuikSCAT, and AMSR-E records during 2008 is satisfactory during the winter seasons, but reveals systematic biases between active and passive microwave methods during the summer months. These differences arise from their different sensitivities to mixed sea ice and open water conditions, scatterometers being more inclusive regarding the detection of lower concentration and summer ice. The sea ice normalized backscatter observed at C-band shows some loss of contrast between thin and thick ice types relative to the Ku-band QuikSCAT, but offers a better sensitivity to prominent surface features, such as fragmentation and rafting of marginal sea ice. Article in Journal/Newspaper Sea ice OpenSky (NCAR/UCAR - National Center for Atmospheric Research/University Corporation for Atmospheric Research) IEEE Transactions on Geoscience and Remote Sensing 50 7 2649 2657 |
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OpenSky (NCAR/UCAR - National Center for Atmospheric Research/University Corporation for Atmospheric Research) |
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ftncar |
language |
English |
description |
This paper details the construction of a Bayesian sea ice detection algorithm for the C-band Advanced Scatterometer ASCAT onboard MetOp based on probabilistic distances to ocean wind and sea ice geophysical model functions. The performance of the algorithm is validated against coincident active and passive microwave sea ice extents on a global scale across the seasons. The comparison between the ASCAT, QuikSCAT, and AMSR-E records during 2008 is satisfactory during the winter seasons, but reveals systematic biases between active and passive microwave methods during the summer months. These differences arise from their different sensitivities to mixed sea ice and open water conditions, scatterometers being more inclusive regarding the detection of lower concentration and summer ice. The sea ice normalized backscatter observed at C-band shows some loss of contrast between thin and thick ice types relative to the Ku-band QuikSCAT, but offers a better sensitivity to prominent surface features, such as fragmentation and rafting of marginal sea ice. |
author2 |
Belmonte Rivas, Maria (Maria Belmonte Rivas) (authoraut) Verspeek, Jeroen (Jeroen Verspeek) (authoraut) Verhoef, Anton (Anton Verhoef) (authoraut) Stoffelen, Ad (Ad Stoffelen) (authoraut) |
format |
Article in Journal/Newspaper |
title |
Bayesian sea ice detection with the advanced scatterometer ASCAT |
spellingShingle |
Bayesian sea ice detection with the advanced scatterometer ASCAT |
title_short |
Bayesian sea ice detection with the advanced scatterometer ASCAT |
title_full |
Bayesian sea ice detection with the advanced scatterometer ASCAT |
title_fullStr |
Bayesian sea ice detection with the advanced scatterometer ASCAT |
title_full_unstemmed |
Bayesian sea ice detection with the advanced scatterometer ASCAT |
title_sort |
bayesian sea ice detection with the advanced scatterometer ascat |
publisher |
Institute of Electrical and Electronics Engineers |
url |
https://doi.org/10.1109/TGRS.2011.2182356 http://n2t.net/ark:/85065/d7p26zs6 |
genre |
Sea ice |
genre_facet |
Sea ice |
op_relation |
IEEE Transactions on Geoscience and Remote Sensing http://dx.doi.org/10.1109/TGRS.2011.2182356 articles:11780 uri: http://nldr.library.ucar.edu/repository/collections/OSGC-000-000-010-497 doi:10.1109/TGRS.2011.2182356 ark:/85065/d7p26zs6 http://n2t.net/ark:/85065/d7p26zs6 |
op_rights |
Copyright 2012 IEEE. |
op_doi |
https://doi.org/10.1109/TGRS.2011.2182356 |
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IEEE Transactions on Geoscience and Remote Sensing |
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50 |
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7 |
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2649 |
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2657 |
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1766189640358821888 |