Showing entries tagged [thredds]

THREDDS Data Server version 5.0.0-beta7 Released

The Unidata THREDDS Development Team is happy to announce that the THREDDS Data Servern (TDS) version 5.0.0-beta7 was released on July 29th, 2019.

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NetCDF-Java library version 5.0.0 Released

The Unidata THREDDS Development Team is happy to announce that the netCDF-Java/Common Data Model (CDM) library version 5.0.0 was released on July 29th, 2019.

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NetCDF-Java library and TDS version 4.6.14 Released

The Unidata THREDDS Development Team is happy to announce that the netCDF-Java/Common Data Model (CDM) library and THREDDS Data Server (TDS) version 4.6.14 were released on July 29th, 2019.

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LDM data feeds, THREDDS server now available from UW-Madison AOS Department

University of Wisconsin Atmospheric and Oceanic Sciences

Whether you like your weather data local, pushed to you by the Unidata Local Data Manager (LDM) through the Internet Data Distribution (IDD) project, or stored remotely and accessed on demand as needed, the Department of Atmospheric and Oceanic Sciences at the University of Wisconsin – Madison (UW-AOS) has you covered.

The UW-AOS Department has been helping to make weather data available to the Unidata community since the early days of the IDD project. An upgraded ingest and relay cluster, made possible by funding from the 2018 Unidata Equipment Awards grant program, has now enabled UW-AOS to serve the GOES16 and GOES17 data along with everything else to additional downstream sites.

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High Plains Regional Climate Center Inaugurates new THREDDS Data Server

University of Nebraska, Lincoln

On March 25, the High Plains Regional Climate Center (HPRCC) hosted a workshop on accessing climate data using THREDDS Data Servers. Ten faculty, staff, and students from the University of Nebraska-Lincoln were in attendance and represented a wide variety of disciplines, including agriculture, climatology, and ecology. The workshop provided an opportunity for the participants to interact with data on a THREDDS Data Server and learn about netCDF data. For many, this was a brand new experience.

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