Showing entries tagged [netcdf]

NetCDF C++ 4.3.1

Version 4.3.1 of the netCDF-C++ library and is now available.

Changes in the netCDF-C++ library include (but are not limited to):

  • Added cmake support to distribution files created by make dist.
  • Added ncFile::create(), also added a new open function and constructor to allow for more flexibility when opening a file.
  • Addressed an issue reported with Intel Compilers 17.0.0.
  • Updated how configure determines information about the existing netCDF-C install.
  • Corrected an issue where cmake-based builds weren't generating ncxx4-config.
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NetCDF 4.7.1

Version 4.7.1 of the netCDF-C library and version 4.5.0 of the netCDF-Fortran library are now available.

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Summer 2019 Unidata Interns Wrap Up Their Projects

2019 Unidata Summer Interns

The Unidata Program Center's three summer student interns — Jessica Blunt from the University of Oklahoma, Max Grover from the University of Illinois, and Aodhan Sweeney from the University of Washington — have come to the end of their summer appointments. After a summer of dedicated work they presented the results of their projects to the UPC staff on July 31, 2019. You can find videos of their presentations to the UPC staff on the Unidata Seminar Series page.

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NetCDF operators (NCO) version 4.8.1

Version 4.8.1 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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NetCDF and Native Cloud Storage Access via Zarr

NetCDF has historically offered two different storage formats for the netCDF data model: files based on the original netCDF binary format, and files based on the HDF5 format. While this has proven effective in the past for traditional disk storage, it is less efficient for modern cloud-focused technologies such as those provided by Amazon S3, Microsoft Azure, IBM Cloud Object Storage, and other cloud service providers. To that end, the Unidata development team is happy to announce that we are expanding the storage solutions available through the netCDF software libraries.

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News@Unidata
News and information from the Unidata Program Center

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