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Modal Bias in Sea Level and Sea Surface Temperature, with Applications to Remote Sensing. Hsieh, William W.
Abstract
From vertical normal mode decomposition, sea level and sea surface temperature (SST) are shown to be modally biased—higher modes are suppressed in sea level while lower modes are suppressed in SST data. Having been effectively “low passed” and “high passed” (with respect to mode number) by nature, sea level and SST contain complementary information which can in principle be combined to yield a relatively unbiased picture. The full potential of the sea level-SST pair is not appreciated in present remote sensing studies, where the two are used separately. A proposed “stereoscopic” method may in the future produce unbiased three-dimensional pictures from satellite-sensed two-dimensional pictures of sea level and SST. Modal bias in coastal trapped waves is studied in the Appendix. Copyright 1985 American Meteorological Society (AMS). Permission to use figures, tables, and brief excerpts from this work in scientific and educational works is hereby granted provided that the source is acknowledged. Any use of material in this work that is determined to be “fair use” under Section 107 of the U.S. Copyright Act or that satisfies the conditions specified in Section 108 of the U.S. Copyright Act (17 USC §108, as revised by P.L. 94-553) does not require the AMS’s permission. Republication, systematic reproduction, posting in electronic form, such as on a web site or in a searchable database, or other uses of this material, except as exempted by the above statement, requires written permission or a license from the AMS. Additional details are provided in the AMS Copyright Policy, available on the AMS Web site located at (http://www.ametsoc.org/) or from the AMS at 617-227-2425 or copyright@ametsoc.org.
Item Metadata
Title |
Modal Bias in Sea Level and Sea Surface Temperature, with Applications to Remote Sensing.
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Creator | |
Publisher |
American Meteorological Society
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Date Issued |
1985-03
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Description |
From vertical normal mode decomposition, sea level and sea surface temperature (SST) are shown to be modally biased—higher modes are suppressed in sea level while lower modes are suppressed in SST data. Having been effectively “low passed” and “high passed” (with respect to mode number) by nature, sea level and SST contain complementary information which can in principle be combined to yield a relatively unbiased picture. The full potential of the sea level-SST pair is not appreciated in present remote sensing studies, where the two are used separately. A proposed “stereoscopic” method may in the future produce unbiased three-dimensional pictures from satellite-sensed two-dimensional pictures of sea level and SST. Modal bias in coastal trapped waves is studied in the Appendix. Copyright 1985 American Meteorological Society (AMS). Permission
to use figures, tables, and brief excerpts from this work in scientific and educational
works is hereby granted provided that the source is acknowledged. Any use of material in
this work that is determined to be “fair use” under Section 107 of the U.S. Copyright Act
or that satisfies the conditions specified in Section 108 of the U.S. Copyright Act (17
USC §108, as revised by P.L. 94-553) does not require the AMS’s permission.
Republication, systematic reproduction, posting in electronic form, such as on a web site
or in a searchable database, or other uses of this material, except as exempted by the
above statement, requires written permission or a license from the AMS. Additional
details are provided in the AMS Copyright Policy, available on the AMS Web site
located at (http://www.ametsoc.org/) or from the AMS at 617-227-2425 or
copyright@ametsoc.org.
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Genre | |
Type | |
Language |
eng
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Date Available |
2016-11-10
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Provider |
Vancouver : University of British Columbia Library
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Rights |
Attribution-NonCommercial-NoDerivatives 4.0 International
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DOI |
10.14288/1.0041782
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URI | |
Affiliation | |
Citation |
Hsieh, William W. 1985. Modal Bias in Sea Level and Sea Surface Temperature, with Applications to Remote Sensing. Journal of Physical Oceanography. 15(3) 351-356.
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Publisher DOI |
10.1175/1520-0485(1985)015<0351:MBISLA>2.0.CO;2
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Peer Review Status |
Reviewed
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Scholarly Level |
Faculty
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Copyright Holder |
Hsieh, William W.
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Rights URI | |
Aggregated Source Repository |
DSpace
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Item Media
Item Citations and Data
Rights
Attribution-NonCommercial-NoDerivatives 4.0 International