Due to the current gap in continued funding from the U.S. National Science Foundation (NSF), the NSF Unidata Program Center has temporarily paused most operations. See NSF Unidata Pause in Most Operations for details.
NSF Unidata: Where Did That Name Come From?
25 January 2024
You may have noticed a change on this web site recently: where you might expect to see the name "Unidata" you are now beginning to see "NSF Unidata" in its place. Just what's going on?
[Read More]NSF Unidata Staff at AMS 2024 Meeting
05 January 2024
Members of the NSF Unidata Program Center staff will be attending the 104th annual American Meteorology Society meeting, to be held 28 January - 1 February 2024 in Baltimore, MD. Staff members will be presenting sessions and posters, and will also be spending time in the UCAR booth (#323) in the main Exhibit hall.
We're also attending the Graduate Student Career Fair, leading two(!) workshops as part of the Student Conference, and teaching a MetPy short course, Read on for details.
[Read More]Happy Holidays 2023 from AWIPS Tips!
27 December 2023
In this week's AWIPS Tips, we're reflecting on a great year of sharing tips, resources, and announcements with you, the Unidata AWIPS community. All of our posts from 2022 are catalogued below. We're excited to share even more with you in 2023!
[Read More]Offer: NSF Unidata Science Gateway JupyterHub Resources Available for Spring 2024 Courses
21 December 2023
NSF Unidata offers JupyterHub resources tailored to the instructional requirements of university atmospheric science classes through the Science Gateway project. For the Spring 2024 term, NSF Unidata is once again offering universities (or individual instructors) access to cloud-based JupyterHub servers tailored to their requirements.
[Read More]R2: Downsides and Potential Pitfalls for ESS ML Prediction
20 December 2023
Regression analysis is a fundamental concept in the field of machine learning (ML), in that it helps establish relationships among the variables by estimating how one variable affects the other.
The coefficient of determination, R2 (pronounced “R squared”), is a measure that provides information about how well the regression line suggested by a numerical model approximates the actual data (often referred to as “goodness of fit”).
[Read More]
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