Estimating sea ice concentration from satellite passive microwave data and a physical model
Sea ice remote sensing and estimation of concentrations of each of several ice types from passive microwave satellite data is described. The approach is based on the Kalman filter; it incorporates surface temperature, ice advection, and ice deformation data derived from drifting buoys and uses the w...
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ftnasantrs:oai:casi.ntrs.nasa.gov:19890009426 2023-05-15T18:17:24+02:00 Estimating sea ice concentration from satellite passive microwave data and a physical model Rothrock, D. A. Thomas, D. R. Unclassified, Unlimited, Publicly available Aug 1, 1988 http://ntrs.nasa.gov/search.jsp?R=19890009426 unknown http://ntrs.nasa.gov/search.jsp?R=19890009426 Accession ID: 89N18797 Copyright CASI 43 ESA, Proceedings of the 1988 International Geoscience and Remote Sensing Symposium (IGARSS) '88 on Remote Sensing: Moving Towards the 21st Century, Volume 3; p 1677-1683 1988 ftnasantrs 2012-02-15T17:48:47Z Sea ice remote sensing and estimation of concentrations of each of several ice types from passive microwave satellite data is described. The approach is based on the Kalman filter; it incorporates surface temperature, ice advection, and ice deformation data derived from drifting buoys and uses the whole temporal microwave record to make a smoothed estimate of ice concentration. The method allows resolution of previously ambiguous surface types. An example using time histories of two SMMR measurements to resolve the fractional areas of four surface types: open water, first-year, second-year and older multiyear ice is shown. Other/Unknown Material Sea ice NASA Technical Reports Server (NTRS) |
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Open Polar |
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NASA Technical Reports Server (NTRS) |
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ftnasantrs |
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unknown |
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43 |
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43 Rothrock, D. A. Thomas, D. R. Estimating sea ice concentration from satellite passive microwave data and a physical model |
topic_facet |
43 |
description |
Sea ice remote sensing and estimation of concentrations of each of several ice types from passive microwave satellite data is described. The approach is based on the Kalman filter; it incorporates surface temperature, ice advection, and ice deformation data derived from drifting buoys and uses the whole temporal microwave record to make a smoothed estimate of ice concentration. The method allows resolution of previously ambiguous surface types. An example using time histories of two SMMR measurements to resolve the fractional areas of four surface types: open water, first-year, second-year and older multiyear ice is shown. |
format |
Other/Unknown Material |
author |
Rothrock, D. A. Thomas, D. R. |
author_facet |
Rothrock, D. A. Thomas, D. R. |
author_sort |
Rothrock, D. A. |
title |
Estimating sea ice concentration from satellite passive microwave data and a physical model |
title_short |
Estimating sea ice concentration from satellite passive microwave data and a physical model |
title_full |
Estimating sea ice concentration from satellite passive microwave data and a physical model |
title_fullStr |
Estimating sea ice concentration from satellite passive microwave data and a physical model |
title_full_unstemmed |
Estimating sea ice concentration from satellite passive microwave data and a physical model |
title_sort |
estimating sea ice concentration from satellite passive microwave data and a physical model |
publishDate |
1988 |
url |
http://ntrs.nasa.gov/search.jsp?R=19890009426 |
op_coverage |
Unclassified, Unlimited, Publicly available |
genre |
Sea ice |
genre_facet |
Sea ice |
op_source |
CASI |
op_relation |
http://ntrs.nasa.gov/search.jsp?R=19890009426 Accession ID: 89N18797 |
op_rights |
Copyright |
_version_ |
1766191591573159936 |