This document defines the variant of the netcdf-c library API that can be used to read/write NCZarr dataset. Additionally, any special new flags or other parameter values are defined. It is expected that this document should be consistent with the NetCDF ZARR Data Model Specification [1].
Valparaiso University in Valparaiso, Indiana will be hosting a Unidata Regional Software Training Workshop August 12-13, 2019. Unidata software developers will be leading the two-day Python-focused workshop, which will cover the use of the MetPy and Siphon packages in the context of atmospheric science. A basic familiarity with Python is assumed — check out the Unidata Online Python Training site for a refresher.
Unidata holds regional workshops in part to facilitate easy access to software training for those who may not be able to travel to training workshops held at the Unidata Program Center in Boulder, Colorado. Attendance is explicitly not limited to Valparaiso students and staff; we encourage those within easy travel distance to consider attending.
This document defines the initial netcdf Zarr (NCZarr) data model to be implemented. As the Zarr version 3 specification progresses, this model will be extended to include new data types.
A number of new screencasts describing concepts and techniques related to using Unidata's Integrated Data Viewer (IDV) have been posted to the Unidata YouTube channel. The videos were created as part of Unidata 2019 intern Jessica Blunt's summer projects, and cover a variety of basic IDV tasks using the most recent IDV release (version 5.6).
The Unidata NetCDF group is proposing to provide access to cloud storage (e.g. Amazon S3) by providing a mapping from a subset of the full netCDF Enhanced (aka netCDF-4) data model to one or more existing data models that already have mappings to key-value pair cloud storage systems.
The initial target is to map that subset of netCDF-4 to the Zarr data model [1]. As part of that effort, we intend to produce a set of related documents that provide a semi-formal definition of the following.
The National Center for Atmospheric Research (NCAR) Computational & Information Systems Lab (CISL) in Boulder, Colorado is looking for a person with passion for and experience relevant to scientific data stewardship to become the Center's Data Stewardship Coordinator. The coordinator will work across all NCAR Laboratories to support discovery and curation of digital assets including data, metadata, and software or documentation relevant to NCAR observations, numerical models, and data analysis.
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.
