Version 5.2.7 of the netCDF Operators (NCO) has been released. NCO is an Open Source package that consists of a dozen standalone, command-line programs that take netCDF files as input, then operate (e.g., derive new data, average, print, hyperslab, manipulate metadata) and output the results to screen or files in text, binary, or netCDF formats.
AWIPS 23.4.1-0.3 is a beta release, with both EDEX and CAVE installation options. 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.
This release is still in beta since the National Weather Service is still working on their 23.4.1 release to operations and does not have full functionality. Users will have the option of installing their own EDEX with this version, or continue to connect to Unidata's public EDEX (edex-beta.unidata.ucar.edu).
The NSF Unidata THREDDS development team released the THREDDS Data Server (TDS) version 5.5 on July 16th, 2024. This release contains a number of security upgrades to third party libraries, a variety of bug fixes, and several new features and improvements. It is recommended that all TDS users upgrade to this version.
The NSF Unidata THREDDS development team released netCDF-Java 5.6.0 on July 16th, 2024. This release contains a number of security upgrades to third party libraries, a variety of bug fixes, and several new features and improvements.
The NSF Unidata Program receives the majority of its funding from the U.S. National Science Foundation. Every five years, the program submits a new proposal for core program funding to the NSF, outlining past accomplishments and describing plans for future activities.
We are please to announce that our most recent five-year funding proposal, Unidata Reimagined: New Approaches to Community Data Services, has been awarded.
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.
Version 5.2.6 of the netCDF Operators (NCO) has been released. NCO is an Open Source package that consists of a dozen standalone, command-line programs that take netCDF files as input, then operate (e.g., derive new data, average, print, hyperslab, manipulate metadata) and output the results to screen or files in text, binary, or netCDF formats.
