• Unidata Funding Proposal Approved by National Science Foundation Unidata Funding Proposal Approved by National Science Foundation
    June 18, 2019
    Description

    The Unidata Program receives the majority of its funding from the National Science Foundation. Every five years, the program submits a new proposal to the NSF, outlining past accomplishments and describing plans for future activities.

    As Unidata entered the final year of the most recent NSF proposal period, which ended on March 31, 2019, Program Center staff and members of Unidata's governing committees engaged in countless conversations about the future direction of the program. The impact of existing programs, requests from community members for new or augmented services, and prognostications about the future needs of the geoscience educators and researchers all figured into the discussions. The resulting proposal, titled Unidata: Next-generation Data Services and Workflows to Advance Geoscience Research and Education, was awarded by NSF with an official start date of May 1, 2019.

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  • Service Update: Changes to the IDD NIMAGE Datastream Service Update: Changes to the IDD NIMAGE Datastream
    June 14, 2019

    The Unidata Program Center will be altering the IDD NIMAGE datastream to contain all of the GOES-16 and GOES-17 Level 2 image products that are currently being being sent in the IDD NOTHER and HDS datastreams.

    We plan to begin distributing a reconstituted NIMAGE feed from our top level IDD relay clusters (idd.unidata.ucar.edu and iddb.unidata.ucar.edu) in the mid-June time frame.

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Software News
Updates and other news about Unidata software packages
Data

The Unidata Program center makes a wide variety of near-real-time and archive geoscience data and model output available to the university community. See the Data page for an overview of the available data types and access methods.

Real-time Model Output

Data visualization tools available from Unidata and elsewhere allow you to create dynamic displays of past, current, or forecast scenarios. This display shows a dynamically-selected Region of Interest culled from a regional weather model.