A data model of the Climate and Forecast metadata conventions (CF-1.6) with a software implementation (cf-python v2.1)
| Autor: | Karl E. Taylor, David Hassell, Jonathan M. Gregory, Bryan Lawrence, Jon Blower |
|---|---|
| Rok vydání: | 2017 |
| Předmět: |
NetCDF
Information retrieval Geospatial analysis Computer science business.industry lcsh:QE1-996.5 020207 software engineering 02 engineering and technology computer.file_format Python (programming language) 010502 geochemistry & geophysics computer.software_genre 01 natural sciences Data modeling lcsh:Geology Metadata Climate and Forecast Metadata Conventions Software Data model 0202 electrical engineering electronic engineering information engineering business computer 0105 earth and related environmental sciences computer.programming_language |
| Zdroj: | Geoscientific Model Development, Vol 10, Pp 4619-4646 (2017) |
| ISSN: | 1991-9603 |
| Popis: | The CF (Climate and Forecast) metadata conventions are designed to promote the creation, processing, and sharing of climate and forecasting data using Network Common Data Form (netCDF) files and libraries. The CF conventions provide a description of the physical meaning of data and of their spatial and temporal properties, but they depend on the netCDF file encoding which can currently only be fully understood and interpreted by someone familiar with the rules and relationships specified in the conventions documentation. To aid in development of CF-compliant software and to capture with a minimal set of elements all of the information contained in the CF conventions, we propose a formal data model for CF which is independent of netCDF and describes all possible CF-compliant data. Because such data will often be analysed and visualised using software based on other data models, we compare our CF data model with the ISO 19123 coverage model, the Open Geospatial Consortium CF netCDF standard, and the Unidata Common Data Model. To demonstrate that this CF data model can in fact be implemented, we present cf-python, a Python software library that conforms to the model and can manipulate any CF-compliant dataset. |
| Databáze: | OpenAIRE |
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