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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: support-ornl.gov@earthdata.nasa.gov

Keywords: netCDF, Data Management, Python, OPeNDAP, Web Service, NCO, GDAL

Overview

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.

Demonstration Data

Download the geoTIFF demonstration data here:
https://daac.ornl.gov/resources/tutorials/create_publication_quality_netcdf/singleband.zip

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

Webinar

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/

Prerequisites

Command line utilities: GDAL, NCO, ncdump, nccopy

Python packages: netCDF4, gdal, pyproj

Procedure

Link to the Command Line (GDAL, NCO) demonstration presented in this webinar:
NCO_Demo.ipynb

Link to the Python demonstration (Jupyter Notebook) presented in this webinar:
Python_Demo.ipynb

Related Tutorials

More tutorials related to ORNL DAAC data and web services can be found at the ORNL DAAC Resources page.

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Content from the NASA Earthdata webinar presented by ORNL DAAC in September 2019.

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