NSF Unidata Staff Honored with AGU Open Science Recognition Prize
18 September 2024
Several current and former NSF Unidata Program Center staff members have been recognized with the American Geophysical Union's 2024 Open Science Recognition Prize for their work as part of a team of Major Contributors to the CF Conventions.
[Read More]CF Conventions Online Workshop June 9-11, 2020
29 May 2020
The conventions for CF (Climate and Forecast) metadata are designed to promote the processing and sharing of files created with the NetCDF API. There will be a virtual workshop to meet and discuss CF-related topics held June 9-11, 2020; meetings are limited to three hours each day.
[Read More]Call for Abstracts: AGU Session on netCDF-CF
14 July 2016
The 2016 AGU Fall Meeting, to be held 12-16 December 2016 in San Francisco, California, will include a session titled “Advancing netCDF-CF for the Geoscience Community.”
The converners encourage you to consider contributing to the session by submitting a short abstract for the session. Please read on for details.
[Read More]OGC Approves CF-netCDF Encoding Standard
16 December 2015
The Open Geospatial Consortium (OGC) membership has approved the OGC CF-netCDF 3.0 encoding using GML Coverage Application Schema, an extension to the OGC CF-netCDF 3.0 encoding standard.
The OGC CF-netCDF 3.0 encoding standard has emerged as a widely used and well supported data model and encoding for domains such as atmospheric science, oceanography, climatology, meteorology, and hydrology. It supports multi-dimensional data representing space and time-varying phenomena.
[Read More]NODC Publishes netCDF Templates
09 April 2012
The NOAA National Oceanographic Data Center (NODC) recently published version 1.0 of their netCDF templates for scientific feature types. The templates conform to Unidata's netCDF Attribute Convention for Dataset Discovery (ACDD) and to the netCDF Climate and Forecast (CF) conventions. Building on these established conventions, the NODC netCDF templates capture NODC's experience in providing long-term preservation, scientific quality control, product development, and multiple data re-use beyond its original intent.
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