Always plot your data!

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”).

Do you use NSF Unidata software packages? Do you love to write code or teach others about data-centered Earth System Science? Maybe you're just interested in the interplay of science and data? The NSF Unidata Summer Internship program is looking for you!

The NSF Unidata Summer Internship offers undergraduate and graduate students an opportunity to work with NSF Unidata Program Center staff on projects drawn from a wide variety of areas in the atmospheric and computational sciences. NSF Unidata's mission is to support the Earth System Science research and education community with data and tools for data access, analysis, and visualization. As a NSF Unidata intern, you'll pursue the goal of adding innovative enhancements to data access, analysis, and visualization tools developed within NSF Unidata.

Representation of nodes in a Self Organizing Map.

A self-organizing map (SOM), sometimes known as a Kohonen map after its originator the Finnish professor Teuvo Kohonen, is an unsupervised machine learning technique used to produce a low-dimensional representation of a higher dimensional data set. SOMs are a specific type of artificial neural network, but use a different training strategy compared to more traditional artificial neural networks (ANNs). SOMs can be used for clustering, dimensionality reduction, feature extraction, and classification — all of which suggest that they can be important tools for understanding large Earth Systems Science (ESS) datasets.

The American Geophysical Union will be conducting a hybrid in-person and virtual conference for its 2023 Fall meeting, December 11-15 2023, with live events taking place in San Francisco, CA.

Unidata's parent organization UCAR will have a physical presence in the AGU exhibit hall this year, come visit at booth 807!

Several Unidata staff members will be presenting as part of the AGU Scientific Program; read on for a schedule of their talks and posters.

Welcome back to AWIPS Tips!

Today we’re here to talk about the distributed architecture of Unidata’s EDEX. Initially, the goal of Unidata’s AWIPS team was to simplify the EDEX installation and design so that it could be run on one machine. However, because of the increase in data volumes and feeds, the need for distributing the workflow across more than one machine became apparent.