An enhancement of the NASA Team sea ice algorithm
An enhancement of the NASA Team sea ice concentration algorithm overcomes the problem of a low ice concentration bias associated with surface snow effects that are particularly apparent in Southern Ocean sea ice retrievals. The algorithm has the same functional form as the NASA Team algorithm, but u...
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| Veröffentlicht in: | IEEE transactions on geoscience and remote sensing 2000-05, Vol.38 (3), p.1387-1398 |
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| container_end_page | 1398 |
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| container_title | IEEE transactions on geoscience and remote sensing |
| container_volume | 38 |
| creator | Markus, T. Cavalieri, D.J. |
| description | An enhancement of the NASA Team sea ice concentration algorithm overcomes the problem of a low ice concentration bias associated with surface snow effects that are particularly apparent in Southern Ocean sea ice retrievals. The algorithm has the same functional form as the NASA Team algorithm, but uses a wider range of frequencies (19-85 GHz). It accommodates ice temperature variability through the use of radiance ratios as in the original NASA Team algorithm, and has the added advantage of providing weather-corrected sea ice concentrations through the utilization of a forward atmospheric radiative transfer model. Retrievals of sea ice concentration with this new algorithm for both the Arctic and Antarctic do not reveal the deficiencies present in either the NASA Team or Bootstrap algorithms. Furthermore, quantitative comparisons with infrared AVHRR data show that the enhanced algorithm provides more accurate ice concentrations with much less bias than the other two algorithms. |
| doi_str_mv | 10.1109/36.843033 |
| format | Article |
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Furthermore, quantitative comparisons with infrared AVHRR data show that the enhanced algorithm provides more accurate ice concentrations with much less bias than the other two algorithms.</description><subject>Algorithms</subject><subject>Antarctica</subject><subject>Applied geophysics</subject><subject>Arctic</subject><subject>Atmospheric modeling</subject><subject>Bias</subject><subject>Earth sciences</subject><subject>Earth, ocean, space</subject><subject>Exact sciences and technology</subject><subject>Frequency</subject><subject>Ice surface</subject><subject>Infrared</subject><subject>Internal geophysics</subject><subject>Marine</subject><subject>Marine geology</subject><subject>NASA</subject><subject>Ocean temperature</subject><subject>Radiance</subject><subject>Retrieval</subject><subject>Sea ice</subject><subject>Sea surface</subject><subject>Snow</subject><subject>Team algorithms</subject><issn>0196-2892</issn><issn>1558-0644</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2000</creationdate><recordtype>article</recordtype><sourceid>RIE</sourceid><recordid>eNqNkTlLBEEQhRtRcF0NTI0GEY9gtKrvDhfxAtFAjYfesdodmUOnZwP_vb3somCgQkEF9dUrXj3GdhFOEcGdCX1qpQAh1tgIlbI5aCnX2QjQ6ZxbxzfZVoyvACgVmhHDSZtRO_NtSQ21Q9aFbJhRdjd5mGSP5Jssks-qkjJfv3R9NcyabbYRfB1pZ9XH7Ony4vH8Or-9v7o5n9zmXlk55NyAMO4ZggkqGF46PxVAxEFOLZnSWc-5NIGCmSpwUxu8Ns5Jo0Gjlx7FmB0tdd_67n1OcSiaKpZU176lbh4Lay0iT5XIw1_JZFtz7tw_QCkQOPwNGo3Ggkrg8a8gaoPSWScWmvs_0Ndu3rfphcmKAmW0XZg-WUJl38XYUyje-qrx_UeBUCwCLoQulgEn9mAl6GPp69CnEKv4vSDSbVh8Z2-JVUT0NV1pfAKlL6dw</recordid><startdate>20000501</startdate><enddate>20000501</enddate><creator>Markus, T.</creator><creator>Cavalieri, D.J.</creator><general>IEEE</general><general>Institute of Electrical and Electronics Engineers</general><general>The Institute of Electrical and Electronics Engineers, Inc. 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| identifier | ISSN: 0196-2892 |
| ispartof | IEEE transactions on geoscience and remote sensing, 2000-05, Vol.38 (3), p.1387-1398 |
| issn | 0196-2892 1558-0644 |
| language | eng |
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| source | IEEE Electronic Library (IEL) |
| subjects | Algorithms Antarctica Applied geophysics Arctic Atmospheric modeling Bias Earth sciences Earth, ocean, space Exact sciences and technology Frequency Ice surface Infrared Internal geophysics Marine Marine geology NASA Ocean temperature Radiance Retrieval Sea ice Sea surface Snow Team algorithms |
| title | An enhancement of the NASA Team sea ice algorithm |
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