Reference

Last updated on 2025-12-16 | Edit this page

Reference Materials


Glossary


  • Interoperability

The ability of data, tools, and systems to work together automatically and reliably with minimal manual effort.

  • Semantic Interoperability

Shared meaning across datasets achieved through standardized vocabularies, units, and metadata conventions.

  • Structural Interoperability

Shared representation achieved through common file formats, data models, and predictable array structures.

  • Technical Interoperability

Shared access achieved through standardized interfaces, protocols, and machine-readable mechanisms.

  • Metadata

Information describing data (e.g., units, variable names, coordinates, attributes) that enables interpretation and reuse.

  • CF Conventions

A widely used climate and forecast metadata standard defining variable names, units, coordinate systems, and grid information.

  • Community Format

A data format widely adopted and maintained by a scientific community (e.g., NetCDF, Zarr, Parquet).

  • NetCDF

A self-describing community format for multidimensional scientific data widely used in climate and atmospheric sciences.

  • Zarr

A cloud-native, chunked, and distributed storage format optimized for large-scale scientific datasets.

  • Parquet

A columnar data format optimized for efficient access to tabular or metadata-rich information.

  • API (Application Programming Interface)

A standardized mechanism that enables software systems to communicate programmatically using defined rules (e.g., HTTP, JSON).

  • OPeNDAP

A protocol that enables remote access to subsets of scientific datasets without downloading entire files.

  • THREDDS

A data server that exposes scientific datasets through standardized protocols such as OPeNDAP and HTTP.

  • Catalog

A machine-readable index of datasets describing what exists, where it is located, and how it can be accessed (e.g., STAC, Intake-ESM, ESGF).

  • Cloud-Native Layout

A storage pattern in which datasets are chunked and stored as individual objects in cloud storage, enabling parallel and scalable access.

  • Reanalysis

A consistent, long-term dataset produced by combining models and observations through data assimilation.

  • In-situ Data

Observational data collected directly by instruments located within the environment being studied (e.g., stations, buoys, radiosondes).