Overview of Zarr Support in netCDF-C

Beginning with netCDF version 4.8.0, the Unidata netCDF group has extended the netCDF-c library 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 a variant of the Zarr data model that already has mappings to key-value pair cloud storage systems. The netCDF version of this storage format is called NCZarr.

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Enhancing the netCDF C++ Library and the Siphon Package

Aodhan Sweeney
Aodhan Sweeney

This summer at Unidata I worked on expanding functionality for both the netCDF C++ library and the Python data access tool Siphon. Previously, the netCDF C++ library was lacking important functionality that was included in other netCDF libraries. Fortunately, adding this functionality is a straightforward process. I created function wrappers in the C++ library that would call previously made functions in the C library. This allows those working in a C++ framework to continue to use the netCDF libraries without sacrificing additional functionality.

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NetCDF Zarr API

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].

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NetCDF ZARR Data Model Specification

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.

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NCZarr Overview

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.

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