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    An Improved System for Tropical Ocean Subsurface Temperature Analyses

    Source: Journal of Atmospheric and Oceanic Technology:;1995:;volume( 012 ):;issue: 004::page 850
    Author:
    Smith, Neville R.
    DOI: 10.1175/1520-0426(1995)012<0850:AISFTO>2.0.CO;2
    Publisher: American Meteorological Society
    Abstract: This study demonstrates techniques that lead to improved use of ocean thermal information and more useful and informative products for monitoring variability in the tropical oceans. The method is based on statistical interpolation and is illustrated using analyses for the 20°C isotherm depth over the Pacific and Indian Oceans. A new monthly climatology is derived by exploiting the statistical interpolation method to provide an improved weighted estimate. The new climatology is shown to better represent key aspects of the tropical ocean thermal structure. A statistical forecast based on the previous analysis and climatology significantly improves the analysis product, both in a qualitative sense and as judged by quantitative measures of the skill of the forecast and of the estimated error of the analysis. Both the new climatology and the statistical forecasting scheme are interpreted as strategies for delivering enhanced information to the analysis system. A series of 10-day analyses are presented. It is shown that these analyses retain all the information contained in longer period analyses, at least when used with statistical forecasts, and that in addition they resolve higher-frequency events in the equatorial waveguide. The 10-day analyses have around the same absolute estimated error as the longer period analyses but substantially higher accuracy due to the larger variance of the 10-day field. Some implications of these results are discussed.
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      An Improved System for Tropical Ocean Subsurface Temperature Analyses

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    http://yetl.yabesh.ir/yetl1/handle/yetl/4145879
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    contributor authorSmith, Neville R.
    date accessioned2017-06-09T14:00:12Z
    date available2017-06-09T14:00:12Z
    date copyright1995/08/01
    date issued1995
    identifier issn0739-0572
    identifier otherams-1073.pdf
    identifier urihttp://onlinelibrary.yabesh.ir/handle/yetl/4145879
    description abstractThis study demonstrates techniques that lead to improved use of ocean thermal information and more useful and informative products for monitoring variability in the tropical oceans. The method is based on statistical interpolation and is illustrated using analyses for the 20°C isotherm depth over the Pacific and Indian Oceans. A new monthly climatology is derived by exploiting the statistical interpolation method to provide an improved weighted estimate. The new climatology is shown to better represent key aspects of the tropical ocean thermal structure. A statistical forecast based on the previous analysis and climatology significantly improves the analysis product, both in a qualitative sense and as judged by quantitative measures of the skill of the forecast and of the estimated error of the analysis. Both the new climatology and the statistical forecasting scheme are interpreted as strategies for delivering enhanced information to the analysis system. A series of 10-day analyses are presented. It is shown that these analyses retain all the information contained in longer period analyses, at least when used with statistical forecasts, and that in addition they resolve higher-frequency events in the equatorial waveguide. The 10-day analyses have around the same absolute estimated error as the longer period analyses but substantially higher accuracy due to the larger variance of the 10-day field. Some implications of these results are discussed.
    publisherAmerican Meteorological Society
    titleAn Improved System for Tropical Ocean Subsurface Temperature Analyses
    typeJournal Paper
    journal volume12
    journal issue4
    journal titleJournal of Atmospheric and Oceanic Technology
    identifier doi10.1175/1520-0426(1995)012<0850:AISFTO>2.0.CO;2
    journal fristpage850
    journal lastpage870
    treeJournal of Atmospheric and Oceanic Technology:;1995:;volume( 012 ):;issue: 004
    contenttypeFulltext
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