Argo Network Real Time Locations (Feature Service)

Argo floats' latest and deployment locations: one layer to represent deployment location of the floats, the second one contains the latest location of each float, according to the data transmitted to the Global Data Assembly Centres (GDAC).

Argo is a global network of more than 3000 free-drifting robots that measure temperature and salinity of the upper 2000 m of the ocean. This allows, for the first time, continuous monitoring of the temperature, salinity, and velocity of the upper ocean, with all data being sent to satellites passing overhead and then made publicly available within hours after collection.



Main Benefits:


     - Improve Ocean and Climate forecasting

     - Understand ocean-atmosphere interactions

     - Predict seasonal to decadal climate variability



Argo improves maps of the distribution of the heat energy in the ocean and, as a consequence, improves forecasting of the development (track and intensity) of sever weather systems. Sever weather systems are driven by convection and the transfer of water vapour from the ocean to the atmosphere. Hurricanes (e.g. Katrina, Gulf of Mexico) gain strength when passing over positive temperature anomaly areas and decay over low temperature anomaly regions. Argo, an old dream of oceanographers, is becoming the ocean's climate warning system for the benefits of humankind. 

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Additional Info

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Last Updated March 24, 2026, 21:08 (UTC)
Created March 24, 2026, 21:04 (UTC)
Domain / Topic
Domain or topic of the dataset being cataloged.
Title
Title for the Dataset.
Argo Network Real Time Locations (Feature Service)
Description
A description of the dataset.

Argo floats' latest and deployment locations: one layer to represent deployment location of the floats, the second one contains the latest location of each float, according to the data transmitted to the Global Data Assembly Centres (GDAC).

Argo is a global network of more than 3000 free-drifting robots that measure temperature and salinity of the upper 2000 m of the ocean. This allows, for the first time, continuous monitoring of the temperature, salinity, and velocity of the upper ocean, with all data being sent to satellites passing overhead and then made publicly available within hours after collection.



Main Benefits:


     - Improve Ocean and Climate forecasting

     - Understand ocean-atmosphere interactions

     - Predict seasonal to decadal climate variability



Argo improves maps of the distribution of the heat energy in the ocean and, as a consequence, improves forecasting of the development (track and intensity) of sever weather systems. Sever weather systems are driven by convection and the transfer of water vapour from the ocean to the atmosphere. Hurricanes (e.g. Katrina, Gulf of Mexico) gain strength when passing over positive temperature anomaly areas and decay over low temperature anomaly regions. Argo, an old dream of oceanographers, is becoming the ocean's climate warning system for the benefits of humankind. 

Tags / Keywords
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Dataset Size
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0.08
Metadata Identifier
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Published Date
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2019-04-03
Time Period Data Span (start date)
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Time Period Data Span (end date)
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GeoSpatial Area Data Span
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Field Value
Access category
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public
License
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License not specified
Limits on use
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Location
Location of the dataset.
https://climat.esri.ca/datasets/oceanops::argo-network-real-time-locations-feature-service
Data Service
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Owner
Owner of the dataset.
OceanOPS
Contact Point
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OceanOPS
Contact Point Email
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[email protected]
Publisher
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OceanOPS
Publisher Email
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Author
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OceanOPS
Author Email
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Accessed At
Date the data and metadata was accessed.
2020-11-25
Field Value
Identifier
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ba0f32624e1d42caa907c6d6eb0414fb
Language
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English
Link to dataset description
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https://climat.esri.ca/datasets/oceanops::argo-network-real-time-locations-feature-service
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Contains Indigenous Data
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None
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None
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Provenance Text
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OceanOPS
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Temporal resolution
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GeoSpatial resolution in meters
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GeoSpatial resolution (in regions)
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Field Value
Indigenous Community Permission
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Community Permission
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The Indigenous communities the dataset is about
Indigenous communities from which data is derived.
Field Value
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