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    Extended Reconstruction of Global Sea Surface Temperatures Based on COADS Data (1854–1997)

    Source: Journal of Climate:;2003:;volume( 016 ):;issue: 010::page 1495
    Author:
    Smith, Thomas M.
    ,
    Reynolds, Richard W.
    DOI: 10.1175/1520-0442-16.10.1495
    Publisher: American Meteorological Society
    Abstract: A monthly extended reconstruction of global SST (ERSST) is produced based on Comprehensive Ocean?Atmosphere Data Set (COADS) release 2 observations from the 1854?1997 period. Improvements come from the use of updated COADS observations with new quality control procedures and from improved reconstruction methods. In addition error estimates are computed, which include uncertainty from both sampling and analysis errors. Using this method, little global variance can be reconstructed before the 1880s because data are too sparse to resolve enough modes for that period. Error estimates indicate that except in the North Atlantic ERSST is of limited value before 1880, when the uncertainty of the near-global average is almost as large as the signal. In most regions, the uncertainty decreases through most of the period and is smallest after 1950. The large-scale variations of ERSST are broadly consistent with those associated with the Hadley Centre Global Sea Ice and Sea Surface Temperature (HadISST) reconstruction produced by the Met Office. There are differences due to both the use of different historical bias corrections as well as different data and analysis procedures, but these differences do not change the overall character of the SST variations. Procedures used here produce a smoother analysis compared to HadISST. The smoother ERSST has the advantage of filtering out more noise at the possible cost of filtering out some real variations when sampling is sparse. A rotated EOF analysis of the ERSST anomalies shows that the dominant modes of variation include ENSO and modes associated with trends. Projection of the HadISST data onto the rotated eigenvectors produces time series similar to those for ERSST, indicating that the dominant modes of variation are consistent in both.
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      Extended Reconstruction of Global Sea Surface Temperatures Based on COADS Data (1854–1997)

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    http://yetl.yabesh.ir/yetl1/handle/yetl/4209578
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    • Journal of Climate

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    contributor authorSmith, Thomas M.
    contributor authorReynolds, Richard W.
    date accessioned2017-06-09T16:26:58Z
    date available2017-06-09T16:26:58Z
    date copyright2003/05/01
    date issued2003
    identifier issn0894-8755
    identifier otherams-6806.pdf
    identifier urihttp://onlinelibrary.yabesh.ir/handle/yetl/4209578
    description abstractA monthly extended reconstruction of global SST (ERSST) is produced based on Comprehensive Ocean?Atmosphere Data Set (COADS) release 2 observations from the 1854?1997 period. Improvements come from the use of updated COADS observations with new quality control procedures and from improved reconstruction methods. In addition error estimates are computed, which include uncertainty from both sampling and analysis errors. Using this method, little global variance can be reconstructed before the 1880s because data are too sparse to resolve enough modes for that period. Error estimates indicate that except in the North Atlantic ERSST is of limited value before 1880, when the uncertainty of the near-global average is almost as large as the signal. In most regions, the uncertainty decreases through most of the period and is smallest after 1950. The large-scale variations of ERSST are broadly consistent with those associated with the Hadley Centre Global Sea Ice and Sea Surface Temperature (HadISST) reconstruction produced by the Met Office. There are differences due to both the use of different historical bias corrections as well as different data and analysis procedures, but these differences do not change the overall character of the SST variations. Procedures used here produce a smoother analysis compared to HadISST. The smoother ERSST has the advantage of filtering out more noise at the possible cost of filtering out some real variations when sampling is sparse. A rotated EOF analysis of the ERSST anomalies shows that the dominant modes of variation include ENSO and modes associated with trends. Projection of the HadISST data onto the rotated eigenvectors produces time series similar to those for ERSST, indicating that the dominant modes of variation are consistent in both.
    publisherAmerican Meteorological Society
    titleExtended Reconstruction of Global Sea Surface Temperatures Based on COADS Data (1854–1997)
    typeJournal Paper
    journal volume16
    journal issue10
    journal titleJournal of Climate
    identifier doi10.1175/1520-0442-16.10.1495
    journal fristpage1495
    journal lastpage1510
    treeJournal of Climate:;2003:;volume( 016 ):;issue: 010
    contenttypeFulltext
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    DSpace software copyright © 2002-2015  DuraSpace
    نرم افزار کتابخانه دیجیتال "دی اسپیس" فارسی شده توسط یابش برای کتابخانه های ایرانی | تماس با یابش
    yabeshDSpacePersian