standards > model/format > DOI:10.25504/FAIRsharing.hp9s46
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ready Climate and Forecast metadata conventions

Abbreviation: CF metadata convention

General Information
Climate and Forecast metadata conventions define metadata that provide a definitive description of what the data in each variable represents, and the spatial and temporal properties of the data. This enables users of data from different sources to decide which quantities are comparable, and facilitates building applications with powerful extraction, regridding, and display capabilities. The CF conventions generalise and extend the COARDS conventions


Countries that developed this resource United Kingdom , United States

Created in 2001

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How to cite this record CF metadata convention; Climate and Forecast metadata conventions; DOI:; Last edited: June 5, 2020, 4:56 p.m.; Last accessed: Oct 25 2021 12:06 a.m.

Record added: July 25, 2017, 4:41 p.m.
Record updated: June 4, 2020, 1:38 p.m. by The FAIRsharing Team.

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A data model of the Climate and Forecast metadata conventions (CF-1.6) with a software implementation (cf-python v2.1)

Hassell, D., Gregory, J., Blower, J., Lawrence, B. N. and Taylor, K. E
Geoscientific Model Development 2017

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Related Databases (5)
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NSF Arctic Data Center
The Arctic Data Center is the primary data and software repository for the Arctic section of NSF Polar Programs. The Center helps the research community to reproducibly preserve and discover all products of NSF-funded research in the Arctic, including data, metadata, software, documents, and provenance that links these together. The repository is open to contributions from NSF Arctic investigators, and data are released under an open license (CC-BY, CC0, depending on the choice of the contributor). All science, engineering, and education research supported by the NSF Arctic research program are included, such as Natural Sciences (Geoscience, Earth Science, Oceanography, Ecology, Atmospheric Science, Biology, etc.) and Social Sciences (Archeology, Anthropology, Social Science, etc.).

St. Lawrence Global Observatory Data Catalogue
The St. Lawrence Global Observatory (SLGO) Data Catalogue integrates multidisciplinary data from multiple partners within a web portal to aid data discovery and re-use. SLGO uses the Data Catalogue to help with data accessibility, dissemination and exchange as well as provision of electronic information regarding the St. Lawrence ecosystem. This project stores data from areas such as public safety, climate change, transportation, resource management and biodiversity conservation.

Balearic Islands Coastal Observing and Forecasting System Data Repository
The Balearic Islands Coastal Observing and Forecasting System Data Repository (SOCIB) Data Repository contains data collected for both coastal and open ocean regions. The collection includes data from, high frequency radar, gliders, drifters, research vessel instruments, profilers, and moorings, amongst others, and advanced numerical model simulations from the Forecasting System.

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