What are the different uses of Argo data?
Profiling float data 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. Additionally, many new research
papers
are in preparation (papers in press) 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. The Third Argo Science Workshop was held in Hangzhou, China in March 2009.
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.
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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. The
Educational use
page highlights the three main focuses of Argo education and outreach: curriculum for classroom use, outreach workshops for scientists, and online tools for the general public.
Operational Uses
Centers in Australia, France, Italy, Japan, Norway, 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
With over 3200 floats reporting and more than 10,000 profiles per month being delivered from the Argo array, never before have oceanographers and climate scientists had such a comprehensive subsurface ocean data set. Over 100 research papers per year are now being published using Argo data covering a broad range of topics including water mass properties and formation, air-sea interaction, ocean circulation, mesoscale eddies, ocean dynamics, seasonal-to-decadal variability, and global change analysis.
A key objective of Argo is to observe ocean signals related to climate change. This includes regional and global changes in ocean temperature and heat content, salinity and freshwater content, the steric height of the sea surface in relation to total sea level and large-scale ocean circulation.
The global Argo dataset is not yet long enough to observe global change signals. Seasonal and interannual variability dominate the present 6-year globally-averaged time series. Sparse global sampling during 2004-2005 can lead to substantial differences in statistical analyses of ocean temperature and trend (or steric sea level and its trend, e.g. Leuliette and Miller, 2009). Analyses of decadal changes presently focus on comparison of Argo to sparse and sometimes inaccurate historical data. Argo's greatest contributions to observing the global oceans are still in the future, but its global span is clearly transforming the capability to observe climate-related changes.
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