Impact of Ocean Observation Systems on Ocean Analysis and Seasonal Forecasts

Arthur Vidard 1 David Anderson 2 Magdalena Balmaseda 2
1 MOISE - Modelling, Observations, Identification for Environmental Sciences
Inria Grenoble - Rhône-Alpes, LJK - Laboratoire Jean Kuntzmann, INPG - Institut National Polytechnique de Grenoble
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 Vol- untary 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 fore- casts. 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 assimi- lation performs less well in the tropical Atlantic. This may be partly a result of not having adequate observations of salinity.
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Arthur Vidard, David Anderson, Magdalena Balmaseda. Impact of Ocean Observation Systems on Ocean Analysis and Seasonal Forecasts. Monthly Weather Review, American Meteorological Society, 2007, 135 (2), pp.409-429. ⟨10.1175/MWR3310.1⟩. ⟨inria-00176154⟩

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