Examples demonstrating accessing and working with ocean satellite data in the polar regions.
Python, R, NetCDF
Mapping data on Polar Stereographic Map
Python and R codes show how to create a projected basemap using matplotlib and cartopy, and add sea ice concentration data (netCDF format) and polar bear track data (csv format) onto the projected map.
This R code example shows how to access a polar projected sea ice dataset from the PolarWatch ERDDAP. Use the .md file to view the example in GitHub or download the .rmd file to run the code in rStudio.
Plotting Satellite and Buoy Data in Alaska Albers Projection
In this exercise, we obtain data available on the PolarWatch ERDDAP data server from multiple sources. We access a cruise track data from a research ship, in-situ buoy data, and satellite sea surface temperature data then plot all three types of the data on a map in an Alaska Albers projection. Use the .md file to view the example in GitHub or download the .rmd file to run the code in rStudio.
Combining NetCDF data at Antimeridian using NCO tools
This example shows how to merge two NetCDF files that span the antimeridian into one NetCDF file. We demonstrate downloading ice concentration from ERDDAP in two sections and then show how to piece them together into one NetCDF file. For this example we use NetCDF Operator Tools which are command line programs for working with NetCDF files.