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    A 1/4°-Spatial-Resolution Daily Sea Surface Temperature Climatology Based on a Blended Satellite and in situ Analysis

    Source: Journal of Climate:;2014:;volume( 027 ):;issue: 021::page 8221
    Author:
    Banzon, Viva F.
    ,
    Reynolds, Richard W.
    ,
    Stokes, Diane
    ,
    Xue, Yan
    DOI: 10.1175/JCLI-D-14-00293.1
    Publisher: American Meteorological Society
    Abstract: new sea surface temperature (SST) climatological mean was constructed using the first 30 years (1982?2011) of the NOAA daily optimum interpolation (OI) SST. The daily analysis blends in situ and satellite data on a ¼° (~25 km) spatial grid. Use of an analysis allows computation of a climatological value for all ocean grid points, even those without observations. Comparisons were made with a monthly, 1°-spatial-resolution climatology produced by the National Centers for Environmental Prediction, computed primarily from the NOAA weekly OISST. Both climatologies were found to provide a good representation of major oceanic features and the annual temperature cycle. However, the daily climatology showed tighter gradients along western boundary currents and better resolution along coastlines. The two climatologies differed by over 0.6°C in high-SST-gradient regions because of resolution differences. The two climatologies also differed at very high latitudes, where the sea ice processing differed between the OISST products. In persistently cloudy areas, the new climatology was generally cooler by approximately 0.4°C, probably reflecting differences between the input satellite SSTs to the two analyses. Since the new climatology represents mean conditions at scales that match the daily analysis, it would be more appropriate for computing the corresponding daily anomalies.
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      A 1/4°-Spatial-Resolution Daily Sea Surface Temperature Climatology Based on a Blended Satellite and in situ Analysis

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    http://yetl.yabesh.ir/yetl1/handle/yetl/4223485
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    contributor authorBanzon, Viva F.
    contributor authorReynolds, Richard W.
    contributor authorStokes, Diane
    contributor authorXue, Yan
    date accessioned2017-06-09T17:10:31Z
    date available2017-06-09T17:10:31Z
    date copyright2014/11/01
    date issued2014
    identifier issn0894-8755
    identifier otherams-80578.pdf
    identifier urihttp://onlinelibrary.yabesh.ir/handle/yetl/4223485
    description abstractnew sea surface temperature (SST) climatological mean was constructed using the first 30 years (1982?2011) of the NOAA daily optimum interpolation (OI) SST. The daily analysis blends in situ and satellite data on a ¼° (~25 km) spatial grid. Use of an analysis allows computation of a climatological value for all ocean grid points, even those without observations. Comparisons were made with a monthly, 1°-spatial-resolution climatology produced by the National Centers for Environmental Prediction, computed primarily from the NOAA weekly OISST. Both climatologies were found to provide a good representation of major oceanic features and the annual temperature cycle. However, the daily climatology showed tighter gradients along western boundary currents and better resolution along coastlines. The two climatologies differed by over 0.6°C in high-SST-gradient regions because of resolution differences. The two climatologies also differed at very high latitudes, where the sea ice processing differed between the OISST products. In persistently cloudy areas, the new climatology was generally cooler by approximately 0.4°C, probably reflecting differences between the input satellite SSTs to the two analyses. Since the new climatology represents mean conditions at scales that match the daily analysis, it would be more appropriate for computing the corresponding daily anomalies.
    publisherAmerican Meteorological Society
    titleA 1/4°-Spatial-Resolution Daily Sea Surface Temperature Climatology Based on a Blended Satellite and in situ Analysis
    typeJournal Paper
    journal volume27
    journal issue21
    journal titleJournal of Climate
    identifier doi10.1175/JCLI-D-14-00293.1
    journal fristpage8221
    journal lastpage8228
    treeJournal of Climate:;2014:;volume( 027 ):;issue: 021
    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
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