A microwave radiometer weather-correcting sea ice algorithm

A new algorithm for estimating the proportions of the multiyear and first-year sea ice types under variable atmospheric and sea surface conditions is presented, which uses all six channels of the SMMR. The algorithm is specifically tuned to derive sea ice parameters while accepting error in the auxi...

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Bibliographic Details
Main Authors: Walters, J. M., Ruf, C., Swift, C. T.
Format: Other/Unknown Material
Language:unknown
Published: 1987
Subjects:
48
Online Access:http://ntrs.nasa.gov/search.jsp?R=19870057750
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spelling ftnasantrs:oai:casi.ntrs.nasa.gov:19870057750 2023-05-15T18:16:14+02:00 A microwave radiometer weather-correcting sea ice algorithm Walters, J. M. Ruf, C. Swift, C. T. Unclassified, Unlimited, Publicly available Jun 15, 1987 http://ntrs.nasa.gov/search.jsp?R=19870057750 unknown http://ntrs.nasa.gov/search.jsp?R=19870057750 Accession ID: 87A45024 Copyright Other Sources 48 Journal of Geophysical Research; 92; 6521-653 1987 ftnasantrs 2012-02-15T17:16:14Z A new algorithm for estimating the proportions of the multiyear and first-year sea ice types under variable atmospheric and sea surface conditions is presented, which uses all six channels of the SMMR. The algorithm is specifically tuned to derive sea ice parameters while accepting error in the auxiliary parameters of surface temperature, ocean surface wind speed, atmospheric water vapor, and cloud liquid water content. Not only does the algorithm naturally correct for changes in these weather conditions, but it retrieves sea ice parameters to the extent that gross errors in atmospheric conditions propagate only small errors into the sea ice retrievals. A preliminary evaluation indicates that the weather-correcting algorithm provides a better data product than the 'UMass-AES' algorithm, whose quality has been cross checked with independent surface observations. The algorithm performs best when the sea ice concentration is less than 20 percent. Other/Unknown Material Sea ice NASA Technical Reports Server (NTRS)
institution Open Polar
collection NASA Technical Reports Server (NTRS)
op_collection_id ftnasantrs
language unknown
topic 48
spellingShingle 48
Walters, J. M.
Ruf, C.
Swift, C. T.
A microwave radiometer weather-correcting sea ice algorithm
topic_facet 48
description A new algorithm for estimating the proportions of the multiyear and first-year sea ice types under variable atmospheric and sea surface conditions is presented, which uses all six channels of the SMMR. The algorithm is specifically tuned to derive sea ice parameters while accepting error in the auxiliary parameters of surface temperature, ocean surface wind speed, atmospheric water vapor, and cloud liquid water content. Not only does the algorithm naturally correct for changes in these weather conditions, but it retrieves sea ice parameters to the extent that gross errors in atmospheric conditions propagate only small errors into the sea ice retrievals. A preliminary evaluation indicates that the weather-correcting algorithm provides a better data product than the 'UMass-AES' algorithm, whose quality has been cross checked with independent surface observations. The algorithm performs best when the sea ice concentration is less than 20 percent.
format Other/Unknown Material
author Walters, J. M.
Ruf, C.
Swift, C. T.
author_facet Walters, J. M.
Ruf, C.
Swift, C. T.
author_sort Walters, J. M.
title A microwave radiometer weather-correcting sea ice algorithm
title_short A microwave radiometer weather-correcting sea ice algorithm
title_full A microwave radiometer weather-correcting sea ice algorithm
title_fullStr A microwave radiometer weather-correcting sea ice algorithm
title_full_unstemmed A microwave radiometer weather-correcting sea ice algorithm
title_sort microwave radiometer weather-correcting sea ice algorithm
publishDate 1987
url http://ntrs.nasa.gov/search.jsp?R=19870057750
op_coverage Unclassified, Unlimited, Publicly available
genre Sea ice
genre_facet Sea ice
op_source Other Sources
op_relation http://ntrs.nasa.gov/search.jsp?R=19870057750
Accession ID: 87A45024
op_rights Copyright
_version_ 1766189735447887872