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    Impact of Ocean Observation Systems on Ocean Analysis and Seasonal Forecasts

    Source: Monthly Weather Review:;2007:;volume( 135 ):;issue: 002::page 409
    Author:
    Vidard, A.
    ,
    Anderson, D. L. T.
    ,
    Balmaseda, M.
    DOI: 10.1175/MWR3310.1
    Publisher: American Meteorological Society
    Abstract: The relative merits of the Tropical Atmosphere?Ocean (TAO)/Triangle Trans-Ocean Buoy Network (TAO/TRITON) and Pilot Research Moored Array in the Tropical Atlantic mooring networks, the Voluntary Observing Ship (VOS) expendable bathythermograph (XBT) network, and the Argo float network are evaluated through their impact on ocean analyses and seasonal forecast skill. An ocean analysis is performed in which all available data are assimilated. In two additional experiments the moorings and the VOS datasets are withheld from the assimilation. To estimate the impact on seasonal forecast skill, the set of ocean analyses is then used to initialize a corresponding set of coupled ocean?atmosphere model forecasts. A further set of experiments is conducted to assess the impact of the more recent Argo array. A key parameter for seasonal forecast initialization is the depth of the thermocline in the tropical Pacific. This depth is quite similar in all of the experiments that involve data assimilation, but withdrawing the TAO data has a bigger effect than withdrawing XBT data, especially in the eastern half of the basin. The forecasts mainly indicate that the TAO/TRITON in situ temperature observations are essential to obtain optimum forecast skill. They are best combined with XBT, however, because this results in better predictions for the west Pacific. Furthermore, the XBTs play an important role in the North Atlantic. The ocean data assimilation performs less well in the tropical Atlantic. This may be partly a result of not having adequate observations of salinity.
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      Impact of Ocean Observation Systems on Ocean Analysis and Seasonal Forecasts

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    contributor authorVidard, A.
    contributor authorAnderson, D. L. T.
    contributor authorBalmaseda, M.
    date accessioned2017-06-09T17:28:17Z
    date available2017-06-09T17:28:17Z
    date copyright2007/02/01
    date issued2007
    identifier issn0027-0644
    identifier otherams-85857.pdf
    identifier urihttp://onlinelibrary.yabesh.ir/handle/yetl/4229350
    description abstractThe relative merits of the Tropical Atmosphere?Ocean (TAO)/Triangle Trans-Ocean Buoy Network (TAO/TRITON) and Pilot Research Moored Array in the Tropical Atlantic mooring networks, the Voluntary Observing Ship (VOS) expendable bathythermograph (XBT) network, and the Argo float network are evaluated through their impact on ocean analyses and seasonal forecast skill. An ocean analysis is performed in which all available data are assimilated. In two additional experiments the moorings and the VOS datasets are withheld from the assimilation. To estimate the impact on seasonal forecast skill, the set of ocean analyses is then used to initialize a corresponding set of coupled ocean?atmosphere model forecasts. A further set of experiments is conducted to assess the impact of the more recent Argo array. A key parameter for seasonal forecast initialization is the depth of the thermocline in the tropical Pacific. This depth is quite similar in all of the experiments that involve data assimilation, but withdrawing the TAO data has a bigger effect than withdrawing XBT data, especially in the eastern half of the basin. The forecasts mainly indicate that the TAO/TRITON in situ temperature observations are essential to obtain optimum forecast skill. They are best combined with XBT, however, because this results in better predictions for the west Pacific. Furthermore, the XBTs play an important role in the North Atlantic. The ocean data assimilation performs less well in the tropical Atlantic. This may be partly a result of not having adequate observations of salinity.
    publisherAmerican Meteorological Society
    titleImpact of Ocean Observation Systems on Ocean Analysis and Seasonal Forecasts
    typeJournal Paper
    journal volume135
    journal issue2
    journal titleMonthly Weather Review
    identifier doi10.1175/MWR3310.1
    journal fristpage409
    journal lastpage429
    treeMonthly Weather Review:;2007:;volume( 135 ):;issue: 002
    contenttypeFulltext
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