Wednesday, August 30, 2017: 2:00 PM
Presenters: Alison G. Boyer and Michele Thornton, ORNL DAAC
Hosted by: NASA EOSDIS
Location: Online
Event Type: Webinar

Abstract

Analyzing or producing higher-level gridded data products stored in the netCDF file format can be challenging for researchers not experienced with netCDF data. The first section of this webinar will provide an introduction to the netCDF file format. Tutorials, demonstrated in R, will provide methods to open, read, write, and plot data from netCDF data files, and export them to other formats.

The second section of the webinar will demonstrate tools available from the Oak Ridge National Laboratory (ORNL) Distributed Active Archive Center (DAAC) for working with the netCDF-formatted Daymet data. The Daymet dataset provides daily gridded meteorological variables over the North American continent at a 1 km x 1 km spatial resolution. Introductory level netCDF processing techniques will be demonstrated using netCDF Operators (NCO), Geospatial Data Abstraction Library (GDAL), and Python, including operations that are of interest to ecological applications. These techniques, although demonstrated using Daymet data, should be broadly applicable to similarly structured data in netCDF file format. View past recorded webinar videos.

Click Here to Register

Webinar Materials:

Sign up for a NASA Earthdata account: https://urs.earthdata.nasa.gov/users/new

How to open and work with NetCDF data in R: http://rpubs.com/boyerag/297592

Tutorial: Python Methodology to Derive a Climatology from netCDF Daily Data. Includes method for automating multiple years. https://nbviewer.jupyter.org/github/ornldaac/pydata/blob/master/nb/daymet_climatology_loopyears.ipynb

Tutorial: Python Methodology to Derive a Climatology from netCDF Daily Data. https://nbviewer.jupyter.org/github/ornldaac/pydata/blob/master/nb/daymet_climatology.ipynb

Tutorial: Opening and visualizing a netCDF file https://nbviewer.jupyter.org/github/ornldaac/pydata/blob/master/nb/netcdf_open_visualize.ipynb

Tutorial: Accessing data through ORNL DAAC web services https://nbviewer.jupyter.org/github/ornldaac/pydata/blob/master/nb/webservice_modis_daymet_sdat.ipynb

Tutorial: Access OPeNDAP Services in Python https://nbviewer.jupyter.org/github/ornldaac/pydata/blob/master/nb/opendap_demo_python.ipynb

Tutorial: Access OPeNDAP Services in R https://nbviewer.jupyter.org/github/ornldaac/pydata/blob/master/nb/opendap_demo_r.ipynb

Daily weather data: https://daymet.ornl.gov

Other ORNL DAAC workshops: http://daac.ornl.gov/resources/tutorials/workshops.shtml