Argo Ocean Temperature and Salinity Profiles

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Argo Ocean Temperature and Salinity Profiles
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Argo is an array of over 3600 profiling floats distributed almost uniformly across the global oceans. First deployed in 2000, Argo floats provide temperature and salinity profiles from the surface to a depth of 2000m. The array has approximately 1 float for every 3 degrees of latitude and longitude, providing a new profile once every 10 days. The array is sparser in the Arctic and Southern Oceans. 'Real-time' data are available within 24 hours of collection, while 'delayed-mode', bias-corrected data are available within a year of collection. On the whole, Argo provides one of the most accurate and comprehensive means of observing global ocean temperature and salinity changes. Several institutions provide gridded fields based on Argo data.

Key Strengths

Key Strengths

Accurate and comprehensive measurements of temperature and salinity, enabling a systematic assessment of the physical state of the upper ocean

Wide and uniform spatial distribution

Key Limitations

Key Limitations

Incapable of resolving small-scale features such as ocean eddies

Does not sample the deep ocean, missing a critical region where heat is stored

Limited coverage at high latitudes, especially in seasonally ice-covered regions

Please cite data sources, following the data providers' instructions
Suggested Data Citation
  1. " These data were collected and made freely available by the International Argo Program and the national programs that contribute to it.  (http://www.argo.ucsd.eduhttp://argo.jcommops.org).  The Argo Program is part of the Global Ocean Observing System."
     
    from Acknowledging Argo data.

Dataset DOIs
None
Hosted Climate Index Files
None
Usage Restrictions
None

Expert User Guidance

Expert User Guidance

 The following was contributed by Josh Willis, Jet Propulsion Laboratory, January, 2014:

The Argo array of profiling floats is a globally distributed network of autonomous, profiling robots that observe temperature and salinity over the top 2000 m (roughly the top half) of the oceans.  They are distributed globally, with approximately 1 float every 3 degrees of latitude and longitude, providing a new profile once every 10 days.

 The Argo array provides the most accurate and comprehensive means of observing global temperature and salinity change in the world’s oceans. Although salinity sensors in the Argo floats can be subject to biases that vary slowly over the course of months and years, the Argo data system is carefully constructed so data centers now provide corrected salinities, where these drifts are estimated and corrected for.  These corrected data are referred to as delayed-mode data and are available within one year of collection of any individual profile.  Data that have not had the salinity correction are referred to as real-time data, and are available within 24 hours of collection.  In practice, these data are accurate enough for many scientific and operational purposes.

 Data from the Argo array now provide the most accurate, ongoing observations of global ocean heat uptake, which is a direct result of human-caused climate change. Nevertheless, they do have some limitations. The Argo floats do not sample at very fine resolution in the ocean and are note capable of resolving small features such as ocean eddies.  At present, they also do not sample the deep ocean, and in some (usually high-latitude) regions it has been suggested that human-caused warming of the ocean penetrates all the way to the sea floor.  Finally, Argo provides only a few observations in regions with seasonal sea ice.  Specially designed floats have been deployed in a few regions that can avoid seasonal sea ice, but the Arctic Ocean and many parts of the Southern Ocean are not sampled by Argo.  Finally, because most Argo floats profile to a depth of 2000 m, they cannot sample the shallow marginal seas that are important for many coastal areas.

It is often suggested that because Argo floats drift freely in the oceans, they do not provide good uniform sampling. However, there is very little evidence for floats clumping, or experiencing significant divergence anywhere in the global oceans except for the equatorial Pacific. Most floats spend about 9 days drifting at 1000 m depth, and 1 day at the surface transmitting data.  In most regions, this duty cycle results in a rather random pattern of float trajectory.  In the Equatorial Pacific, however, the strong surface divergence tends to push floats off the equator making it difficult to sample.  In recent years, floats that spend at little as 1 hour at the surface have been used to populate this region and the resulting sampling along the equator has been much improved.##

Cite this page

Acknowledgement of any material taken from or knowledge gained from this page is appreciated:

Willis, Josh & National Center for Atmospheric Research Staff (Eds). Last modified "The Climate Data Guide: Argo Ocean Temperature and Salinity Profiles .” Retrieved from https://climatedataguide.ucar.edu/climate-data/argo-ocean-temperature-and-salinity-profiles on 2024-02-28.


Citation of datasets is separate and should be done according to the data providers' instructions. If known to us, data citation instructions are given in the Data Access section, above.


Acknowledgement of the Climate Data Guide project is also appreciated:

Schneider, D. P., C. Deser, J. Fasullo, and K. E. Trenberth, 2013: Climate Data Guide Spurs Discovery and Understanding. Eos Trans. AGU, 94, 121–122, https://doi.org/10.1002/2013eo130001

Key Figures

Argo float locations Source: http://www-hrx.ucsd.edu/www-argo/statusbig.gif

Map of Argo float locations reporting in January, 2014. Source: http://www-hrx.ucsd.edu/www-argo/statusbig.gif, Retrieved 31 Jan 2014.

Other Information

Earth system components and main variables
Type of data product
Dataset collections
None

Years of record
to
Data time period extended
Yes, data set is extended
Timestep
Monthly, Weekly
Domain
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Input Data
None
Vertical Levels:
Missing Data Flag
Missing data present
Ocean or Land
Ocean Only
Spatial Resolution
None
Model Resolution (reanalysis)
None
Data Assimilation Method
None
Model Vintage (reanalysis)
None