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NetCDF 4.9.2

The Unidata netCDF team is happy to announce the availability of netCDF 4.9.2 C library.

This release has a handful of bug fixes, and allows for out-of-the-box support for HDF5 1.14.0. Next up, the netCDF team is working on releases for the Fortran and C++ interfaces, as well as working with Unidata's TDS/NetCDF-Java team to ensure that we do not introduce any divergences between the capabilities of netCDF Java and the C library.

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NetCDF operators (NCO) version 5.1.5

Version 5.1.5 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.

The NCO project is coordinated by Professor Charlie Zender of the Department of Earth System Science, University of California, Irvine. More information about the project, along with binary and source downloads, are available on the SourceForge project page.

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Recommended Books for Machine Learning

Stack of machine learning books

The following are a few of Unidata AI/ML developer Thomas Martin's favorite books on machine learning. These books range from pure theory to hands-on practical Python programming help. They are arranged roughly in order if you are starting your journey into ML, but can also be read out of order.

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NetCDF operators (NCO) version 5.1.4

Version 5.1.4 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.

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AWIPS Tips: Use Case Example: Texas A&M CAVE in the Classroom

AWIPS Tips

Welcome back to AWIPS Tips!

With this edition of AWIPS Tips we're excited to highlight one of our power user Universities. The Unidata AWIPS team has had the pleasure of working with the Texas A&M (TAMU) Atmospheric Sciences department for the last several years.

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News and information from the Unidata Program Center

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