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    A New High-Resolution Sea Surface Temperature Blended Analysis

    Source: Bulletin of the American Meteorological Society:;2017:;volume( 098 ):;issue: 005::page 1015
    Author:
    Maturi, Eileen;Harris, Andy;Mittaz, Jonathan;Sapper, John;Wick, Gary;Zhu, Xiaofang;Dash, Prasanjit;Koner, Prabhat
    DOI: 10.1175/BAMS-D-15-00002.1
    Publisher: American Meteorological Society
    Abstract: AbstractThe National Oceanic and Atmospheric Administration?s (NOAA) office of National Environmental Satellite, Data, and Information Service (NESDIS) now generates a daily 0.05° (?5 km) global high-resolution satellite-based sea surface temperature (SST) analyses on an operational basis. The new analysis combines SST data from U.S., Japanese, and European geostationary infrared imagers, and low-Earth-orbiting infrared (United States and Europe) SST data, into a single high-resolution 5-km product. An earlier version produced a 0.1° (?11 km) resolution, a resolution chosen to approximate the Nyquist sampling criterion for the midlatitude Rossby radius (?20 km), in order to preserve mesoscale oceanographic features such as eddies and frontal meanders. Comparison between the two analyses illustrates that the higher-resolution grid spacing has more success in this regard. The analysis employs a rigorous multiscale optimum interpolation (OI) methodology that approximates the Kalman filter, together with a data-adaptive correlation length scale, to ensure a good balance between detail preservation and noise reduction. The product accuracy verified against globally distributed buoys is ?0.02 K, with a robust standard deviation of ?0.25 K. The new analysis has proven a significant success even when compared to other products that purport to have a similar resolution. This analysis forms the basis for other operational environmental products such as coral reef bleaching risk and ocean heat content for tropical cyclone prediction. Forthcoming enhancements include the incorporation of microwave SST products from low-Earth-orbiting platforms [e.g., Global Change Observation Mission for Water-1 (GCOM-W1)] in order to improve the resolution of SST features in areas of persistent cloud and correct for diurnal effects via a turbulence model of upper-ocean heating.
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      A New High-Resolution Sea Surface Temperature Blended Analysis

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    contributor authorMaturi, Eileen;Harris, Andy;Mittaz, Jonathan;Sapper, John;Wick, Gary;Zhu, Xiaofang;Dash, Prasanjit;Koner, Prabhat
    date accessioned2018-01-03T10:59:43Z
    date available2018-01-03T10:59:43Z
    date copyright5/1/2017 12:00:00 AM
    date issued2017
    identifier otherbams-d-15-00002.1.pdf
    identifier urihttp://138.201.223.254:8080/yetl1/handle/yetl/4245802
    description abstractAbstractThe National Oceanic and Atmospheric Administration?s (NOAA) office of National Environmental Satellite, Data, and Information Service (NESDIS) now generates a daily 0.05° (?5 km) global high-resolution satellite-based sea surface temperature (SST) analyses on an operational basis. The new analysis combines SST data from U.S., Japanese, and European geostationary infrared imagers, and low-Earth-orbiting infrared (United States and Europe) SST data, into a single high-resolution 5-km product. An earlier version produced a 0.1° (?11 km) resolution, a resolution chosen to approximate the Nyquist sampling criterion for the midlatitude Rossby radius (?20 km), in order to preserve mesoscale oceanographic features such as eddies and frontal meanders. Comparison between the two analyses illustrates that the higher-resolution grid spacing has more success in this regard. The analysis employs a rigorous multiscale optimum interpolation (OI) methodology that approximates the Kalman filter, together with a data-adaptive correlation length scale, to ensure a good balance between detail preservation and noise reduction. The product accuracy verified against globally distributed buoys is ?0.02 K, with a robust standard deviation of ?0.25 K. The new analysis has proven a significant success even when compared to other products that purport to have a similar resolution. This analysis forms the basis for other operational environmental products such as coral reef bleaching risk and ocean heat content for tropical cyclone prediction. Forthcoming enhancements include the incorporation of microwave SST products from low-Earth-orbiting platforms [e.g., Global Change Observation Mission for Water-1 (GCOM-W1)] in order to improve the resolution of SST features in areas of persistent cloud and correct for diurnal effects via a turbulence model of upper-ocean heating.
    publisherAmerican Meteorological Society
    titleA New High-Resolution Sea Surface Temperature Blended Analysis
    typeJournal Paper
    journal volume98
    journal issue5
    journal titleBulletin of the American Meteorological Society
    identifier doi10.1175/BAMS-D-15-00002.1
    journal fristpage1015
    journal lastpage1026
    treeBulletin of the American Meteorological Society:;2017:;volume( 098 ):;issue: 005
    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