NSF Unidata is at the 2024 Earth Educators' Rendezvous in Philadelphia, PA the week of July 15-19, 2024. Join Instructional Designer Nicole Corbin and AI/ML Software Engineer Thomas Martin on Friday's poster session to discuss their ongoing collaboration with Metropolitan State University of Denver, Machine Learning Foundations and Applications in the Earth Systems Sciences.
Announcing a new eLearning module available now on Unidata eLearning: Machine Learning Foundations in the Earth Systems Sciences. This no-code module is designed to guide you through the very basics of supervised machine learning in the Earth Systems Sciences. You will discover how machine learning is currently being used by scientists, examine the process for supervised machine learning model development, explore how data plays a crucial role in making good predictions, and how to be an effective and ethical user of machine learning tools. You will also learn that machine learning is not a catch-all solution to every problem!
As part of its data-driven mission, I-GUIDE (the Institute for Geospatial Understanding through an Integrative Discovery Environment), supported by the U.S. National Science Foundation, tackles fundamental scientific and societal challenges focused on sustainability, from climate change and biodiversity loss to food and water insecurity. I-GUIDE Forum 2024, to be held in Jackson, Wyoming October 14-16, 2024, is designed as a conference series to bring together domain science researchers, artificial intelligence (AI) and data scientists, cyberinfrastructure experts, and educators from across academia, government, and industry.
AWIPS 23.4.1-0.2 is a beta release of CAVE for installation on linux, windows, and virtual machines (Windows and Linux). We are currently working on a CAVE installer for MacOS. This release includes a major upgrade for the operating system, running on Rocky 8 Linux – which is a free Red Hat Enterprise Linux (RHEL) distribution.
Ana Castaneda Montoya joined the NSF Unidata Program Center as a student summer intern on May 20, 2024; she received her Bachelor's degree in Physics from the University of Texas at Dallas the same week. She will be starting her graduate studies at the University of Michigan in August, where she'll pursue a PhD in Climate Science.
The 105th American Meteorological Society Annual Meeting in will be held 12-16 January 2025 in New Orleans, LA. This year's theme is “Towards a Thriving Planet: Charting the Course Across Scales.” The submission deadline for abstracts is 15 August 2024.
The American Geophysical Union's 2024 Fall Meeting in will be held 9-13 December 2024 in Washington, DC. This year's theme is “What's Next for Science.” The submission deadline for abstracts is 31 July 2024.
Today we're going to take a look at some of the most useful shortcuts in CAVE – keyboard hotkeys! Our documentation has an entire page dedicated to defining keyboard shortcuts in CAVE and can be an excellent reference. The keyboard shortcuts on that page are broken down into different times and places where those keys are active while using CAVE. For today's AWIPS Tips though, we'll just focus on some of the D2D Menu Shortcuts.
Convolutional Neural Networks (CNNs) are a powerful class of deep learning models widely applied in Earth science for image analysis, classification, and regression problems. Leveraging the Keras framework in python, CNNs can efficiently process and extract spatial features from 2D and 3D remote sensing, model output, and other Earth Systems Science (ESS) data types.
Today we're going to take a look at another python-awips example notebook. This notebook demonstrates how to work with radar data by investigating available radar sites and seeing what products are available for a given site. The plots created in this notebook are from NEXRAD 3 algorithm, precipitation, and derived product data, not the base data. If you are not familiar with python-awips, please feel free to check out our documentation or visit previous AWIPS Tips for python-awips.
