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Argo is now the dominant source of subsurface ocean data and has a critical role in the Global Ocean Observing System The Argo Program was developed in 1999 and today supports a global array of almost 4,000 robotic profiling floats that measure the temperature and salinity of the upper 2,000 meters (1.2 miles) of the ocean. The […]
The Argo Data Management System, as finalized by the International Argo Science Team (IAST) and its Data Management Group, is configured around three levels of Data Centres viz. National Data Centres in each of the country which is deploying Argo floats and receive the data from Argos and forward the processed data to GTS / Global data center.
Data. All Argo data is made freely available for use by researchers around the world. 94% of data collected by the profiling floats is available online within 24 hours. The many ways to access Argo data. To decode this data, you will need to read the International Argo Steering Team’s data FAQ page. You may find updated gridded products here.
The Euro-Argo dashboard provides an interactive map interface that features metadata and technical data used mostly by the Argo community, but also float locations, trajectories and figures. It is the only site that tracks float battery life and other technical aspects of floats, making it an excellent tool to monitor the health of the Argo fleet.
Jan 14, 2013 · BBC World Service. Ben Affleck's film Argo tells the bizarre story of how in 1980 the CIA - with Canadian help - sprang a group of Americans from Iran after they escaped a US embassy overrun by ...
Argo's more than 3500 floats provide 100,000 plus temperature and salinity profiles each year which create a large data set available on the Argo GDACs. As an alternative to using individual profiles from the GDACs, different groups around the world have produced various products based on Argo data.
Argo Workflows is an open source container-native workflow engine for orchestrating parallel jobs on Kubernetes. Argo Workflows is implemented as a Kubernetes CRD. Define workflows where each step in the workflow is a container. Model multi-step workflows as a sequence of tasks or capture the dependencies between tasks using a graph (DAG).
