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Running Pretrainined AI-NWP Models, Our Experience at NSF Unidata on Jetstream2

wind map from AI-NWP

At NSF Unidata, we have successfully implemented and re-used weights from several global AI-NWP (Artificial Intelligence-Numerical Weather Prediction) models (FourCastNet, Pangu) using the NVIDIA earth2mip package. We can confirm that these models are open source and can be reused on high-end, but increasingly standard, HPC hardware. While traditional numerical weather prediction requires massive supercomputing resources, these AI models can potentially deliver similar or better results using standard GPU hardware for inference.

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MetPy 1.7.0 Released

 MetPy

MetPy 1.7.0 has been released.

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NetCDF operators (NCO) version 5.3.3

Version 5.3.3 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: Python-AWIPS Release v23.1

We are happy to announce a new version of python-awips (v23.1) is available! This version is available via source code (with all example notebooks) or via mamba (conda) and pip. Please see our main documentation page for installation instructions.

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NetCDF operators (NCO) version 5.3.2

Version 5.3.2 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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