NetCDF Why and How: Creating Publication Quality NetCDF
Demonstrations from the NASA Earthdata webinar presented by ORNL DAAC in September 2019.
Author: ORNL DAAC
Date: September 4, 2019
Contact for the ORNL DAAC: email@example.com
Keywords: netCDF, Data Management, Python, OPeNDAP, Web Service, NCO, GDAL
These tutorials introduce step-by-step methods, software, and tools used to create, visualize, and standardize netCDF files to archive ready formats. The netCDF file format is a recommended format for archival and distribution of multi-dimensional and gridded geospatial data. In the tutorials presented here, daily geoTIFF files are converted to a single multidimensional netCDF file that follows Climate and Forecast (CF) Conventions. Separate tutorials exist demonstrating command line utilities as well as popular programming software are demonstrated.
Download the geoTIFF demonstration data here:
Archived Dataset The learning materials provided in this repository work with data from the ABoVE: Dall Sheep Response to Snow and Landscape Covariates data published by the ORNL DAAC. View the User Guide for this dataset: https://daac.ornl.gov/ABOVE/guides/Dall_Sheep_Snowpack.html
Mahoney, P., G. Liston, B. Mangipane, and L.R. Prugh. 2018. ABoVE: Dall Sheep Response to Snow and Landscape Covariates, Alaska, 2005-2008. ORNL DAAC, Oak Ridge, Tennessee, USA. https://doi.org/10.3334/ORNLDAAC/1602
The content in this repository was presented during a NASA Earthdata webinar in September 2019. More information can be found at the following link: https://daac.ornl.gov/resources/tutorials/create_publication_quality_netcdf/
Command line utilities: GDAL, NCO, ncdump, nccopy
Python packages: netCDF4, gdal, pyproj
Link to the Command Line (GDAL, NCO) demonstration presented in this webinar:
Link to the Python demonstration (Jupyter Notebook) presented in this webinar:
More tutorials related to ORNL DAAC data and web services can be found at the ORNL DAAC Resources page.