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AWIPS Tips: NSF Unidata AWIPS 23.4.1-1 Release

11 July 2025

Welcome back to AWIPS Tips!

AWIPS 23.4.1-1 is a full AWIPS release (not in beta anymore!), with both EDEX and CAVE installation options.

This release (building upon previous 23.4.1 versions) includes a major upgrade for the operating system, running on Rocky 8 Linux – which is a free Red Hat Enterprise Linux (RHEL) distribution for EDEX and linux based CAVE.

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Posted by Tiffany Meyer [ Comments [0] ]

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NSF Unidata Update: May/June 2025

01 July 2025

In case you missed it — here's a recap of news from the NSF Unidata Program Center for the months of May and June 2025. (We did not publish an update at the end of May, as Program operations were paused at the time.)

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Posted by Unidata News

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Abstract Deadlines for AMS, AGU Meetings

17 June 2025

The 106th American Meteorological Society Annual Meeting in will be held 25-29 January 2026 in Houston, TX. This year's theme is “Fast and Slow Thinking: The Human Factor in a Rapidly Changing World.” The submission deadline for abstracts is 14 August 2025.

The American Geophysical Union's 2025 Fall Meeting in will be held 15-19 December 2025 in New Orleans, LA. This year's theme is “Where Science Connects Us.” The submission deadline for abstracts is 30 July 2025.

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Posted by Unidata News [ Comments [0] ]

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NSF Unidata 2025 Community Survey: Final Days to Share Your Thoughts

16 June 2025

The NSF Unidata 2025 Community Survey is closing on Friday, June 20, 2025. If you have not yet had a chance to let us know how we can help you achieve your Earth Systems Science research and teaching goals, please do take some time to do so now. As a community-focused program, NSF Unidata relies on input from educators, researchers, students, and professionals working across the Earth Systems Sciences. Whether you're a longtime user or new to our offerings, your voice plays a critical role in shaping the future of NSF Unidata.

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Posted by Unidata News [ Comments [0] ]

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New eLearning: Supervised Machine Learning Readiness

07 May 2025

Announcing a new eLearning series available now on Unidata eLearning: Supervised Machine Learning Readiness. This learning series is a self-paced, beginner-friendly program designed for Earth systems scientists to explore the core principles of supervised machine learning. This series uses a combination of step-by-step frameworks, exploratory widgets, and low-code exercises in Jupyter Notebooks, to explore the full cycle of machine learning model development. No programming experience is required. By the end of the series, you will be able to recognize when machine learning is an appropriate tool and critically evaluate machine learning in Earth systems science contexts.

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Posted by Nicole Corbin [ Comments [0] ]