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    Evaluation of Satellite and Reanalysis Wind Products with In Situ Wave Glider Wind Observations in the Southern Ocean

    Source: Journal of Atmospheric and Oceanic Technology:;2017:;volume( 034 ):;issue: 012::page 2551
    Author:
    Schmidt, Kevin M.;Swart, Sebastiaan;Reason, Chris;Nicholson, Sarah-Anne
    DOI: 10.1175/JTECH-D-17-0079.1;AbstractSurface ocean wind datasets are required to be of high spatial and temporal resolution and high precision to accurately force or be assimilated into coupled atmosphere?ocean numerical models and to understand ocean?atmosp
    Publisher: American Meteorological Society
    Abstract: AbstractSurface ocean wind datasets are required to be of high spatial and temporal resolution and high precision to accurately force or be assimilated into coupled atmosphere?ocean numerical models and to understand ocean?atmospheric processes. In situ observed sea surface winds from the Southern Ocean are scarce and, consequently, the validity of simulation models is often questionable. Multiple wind data products were compared to the first known high-resolution in situ measurements of wind speed from Wave Glider (WG) deployments in the Southern Ocean with the intent to determine which blended satellite or reanalysis product best represents the magnitude and variability of the observed wind field. Results show that the ECMWF reanalysis product is the most accurate in representing the temporal variability of winds, exhibiting consistently higher correlation coefficients with in situ data across all wind speed categories. However, the NCEP?DOE AMIP-II Reanalysis product matches in situ trends of deviation from the mean and performs best in depicting the mean wind state, especially during high wind states. The ECMWF product also leads to smaller differences in wind speeds from the in situ data, while CFSv2 showed slightly higher biases and a greater RMSE. The SeaWinds (SW) product consistently performed poorly at representing the mean or wind stress variability compared to those observed by the WG. Overall, the study shows autonomous surface vehicles provide valuable observations by which to validate, understand, and potentially assist in correcting satellite/reanalysis products, particularly in remote regions, where few in situ estimates exist.
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      Evaluation of Satellite and Reanalysis Wind Products with In Situ Wave Glider Wind Observations in the Southern Ocean

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    http://yetl.yabesh.ir/yetl1/handle/yetl/4245860
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    contributor authorSchmidt, Kevin M.;Swart, Sebastiaan;Reason, Chris;Nicholson, Sarah-Anne
    date accessioned2018-01-03T11:00:00Z
    date available2018-01-03T11:00:00Z
    date copyright8/24/2017 12:00:00 AM
    date issued2017
    identifier otherjtech-d-17-0079.1.pdf
    identifier urihttp://138.201.223.254:8080/yetl1/handle/yetl/4245860
    description abstractAbstractSurface ocean wind datasets are required to be of high spatial and temporal resolution and high precision to accurately force or be assimilated into coupled atmosphere?ocean numerical models and to understand ocean?atmospheric processes. In situ observed sea surface winds from the Southern Ocean are scarce and, consequently, the validity of simulation models is often questionable. Multiple wind data products were compared to the first known high-resolution in situ measurements of wind speed from Wave Glider (WG) deployments in the Southern Ocean with the intent to determine which blended satellite or reanalysis product best represents the magnitude and variability of the observed wind field. Results show that the ECMWF reanalysis product is the most accurate in representing the temporal variability of winds, exhibiting consistently higher correlation coefficients with in situ data across all wind speed categories. However, the NCEP?DOE AMIP-II Reanalysis product matches in situ trends of deviation from the mean and performs best in depicting the mean wind state, especially during high wind states. The ECMWF product also leads to smaller differences in wind speeds from the in situ data, while CFSv2 showed slightly higher biases and a greater RMSE. The SeaWinds (SW) product consistently performed poorly at representing the mean or wind stress variability compared to those observed by the WG. Overall, the study shows autonomous surface vehicles provide valuable observations by which to validate, understand, and potentially assist in correcting satellite/reanalysis products, particularly in remote regions, where few in situ estimates exist.
    publisherAmerican Meteorological Society
    titleEvaluation of Satellite and Reanalysis Wind Products with In Situ Wave Glider Wind Observations in the Southern Ocean
    typeJournal Paper
    journal volume34
    journal issue12
    journal titleJournal of Atmospheric and Oceanic Technology
    identifier doi10.1175/JTECH-D-17-0079.1;AbstractSurface ocean wind datasets are required to be of high spatial and temporal resolution and high precision to accurately force or be assimilated into coupled atmosphere?ocean numerical models and to understand ocean?atmosp
    journal fristpage2551
    journal lastpage2568
    treeJournal of Atmospheric and Oceanic Technology:;2017:;volume( 034 ):;issue: 012
    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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