At NSF Unidata, we have been supporting and developing netCDF standards and packages
since the original release of netCDF in 1990. We strongly believe in the usefulness
of netCDF Common Data Model for Earth Systems Science data, and for other types of
data! NetCDF files can be used efficiently in machine learning modeling applications
and can be used as a virtual Zarr datasets.
NSF Unidata has been urged by our community to investigate options to allow
netCDF to work more easily with modern cloud-based infrastructure. Based on
the strong interest and rapid adoption of Zarr by the community, the netCDF team
decided to begin working with the Zarr community to ensure that these two
widely used data storage mechanisms can interoperate if necessary.
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The NSF Unidata Program Center is pleased to welcome new members to the program's governing
committees. Committee members serve three-year terms, meeting twice each year to provide
feedback on the effectiveness of the NSF Unidata Program and advise staff on issues facing the
university community. Appointments reflect the range of large and small colleges and
universities with undergraduate and graduate emphases where Unidata systems are in use.
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