What are the different uses of Argo data?

Profiling float data from Argo and from earlier deployments have an enormous range of applications. As the float array grows and Argo data become more and more abundant there is an increasing body of scientific literature based wholly or partly on Argo. The project maintains a bibliography of peer- reviewed papers that refer to profiling floats and another that covers all aspects of the use of neutrally-buoyant floats back as far as their origins in 1955. Additionally, many new research papers are in preparation or about to be published. Early applications of Argo data were highlighted in Argo's First Science Workshop held in Tokyo in November 2003. More recent applictions of Argo data were presented at the Second Argo Science Workshop in Venice in March 2006.

Argo data use falls into three main categories: educational uses, operational uses and research uses. Read the synopsis of each data type and follow the links to more detailed pages.

  • Educational Uses

    Argo data are easy to access and are truly global. Their relevance to climate issues such as global warming that have great socio-economic relevance makes Argo an ideal vehicle through which to highlight the importance of the oceans to the general public and particularly to schools. As a first step towards this goal, Argo is the focus of the SEREAD project directed to schools throughout the South Pacific region.

  • Operational Uses

    Centers in Australia, France, Japan, the UK and the USA routinely produce global and regional analyses of subsurface properties using the Argo data stream. These are available on the world wide web (see the Use by Operational Centers page) and will give early warning of significant temperature and salinity anomalies and changes in ocean circulation.

    In the Gulf of Alaska and around Japan, Argo data are being used to aid the monitoring of environmental conditions that affect fish stocks and biological productivity.

    Each summer the UK Met Office issues a forecast of conditions for the following winter based on the subsurface temperatures in the Atlantic Ocean. Argo data now allow these forecasts to be made with greater confidence.

    At short time scales, Argo data have been used to study the evolution of near-surface temperature and salinity beneath tropical cyclones. The data show clear temperature differences left and right of the cyclone track, but produce conflicting patterns of salinity change. Monsoons and ENSO events dominate the low-latitude seasonal/inter-annual ocean-atmosphere variability. Argo data, when combined with TAO/Triton tropical buoy array data, extend the mapping of tropical Pacific Ocean structures, and are also used in ENSO forecast systems. Argo profiles have also revealed the Arabian Sea space-time response during the summer monsoons of 2002 and 2003.

    Many results focused on exploration of the circulation and the definition of the properties and abundance of winter-formed mode waters in mid-latitude ocean basins. This could even be done in areas such as the Okhotsk Sea, where there is extensive ice cover in some years. Twelve operational analysis/forecast centers routinely use Argo data, and through GODAE, are routinely producing ocean state products. Improvements in ocean predictions from assimilating Argo data were demonstrated at the workshop. These give an exciting foretaste of the likely impact of the full Argo array when combined with remote sensing data.

  • Research Uses

    Although the Argo array is not yet complete, its impact on global-scale problems can already be seen from studies such as Willis et al. [2003], where Argo allows heat and fresh water storage in the ocean to be estimated. Its advantage over ship-based observations is the uniform geographical and seasonal distribution, depth penetration (deeper than the typical 750 m of XBTs), and data volume.

    Argo data have been shown to be of high enough quality to document changes over almost 20 years in subsurface salinity across the south Indian Ocean, an area where climate change models predict that anthropogenic change will be most easily detected [Banks and Wood, 2002]. However, applications of this type highlight the need for caution in adjusting float data to climatological values.

    In the western Atlantic, year-to-year changes in the properties and circulation of water masses formed each winter have been analyzed for the first time. These changes are a senstivite indicator of the interaction between the atmosphere and ocean.

    For the first time we have been able to monitor the impact of the Asian Monsoon on the temperature and salinity of the Arabian Sea.

    While much emphasis is placed on Argo profile data, velocity estimates both at depth and from the floats' time at the surface have been used for the global estimation of inertial oscillation statistics to reveal hitherto unsuspected subsurface circulation patterns. When combined with surface drifter data and T/S profiles, they can be used to derive velocity field estimates on basin (and ultimately global) scales throughout much of the water column.

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