NCL notebook examples using the NCL kernel IPyNCL for Jupyter notebooks (former ipython notebooks).

Since in GitHub there is no NCL kernel and ImageMagick installed you have to download the notebook, install the NCL kernel (and ImageMagicks) and run the notebook on your local computer with

jupyter notebook

You need to install suvarchal's IPyNCL IPython notebook NCL kernel before you can start using the examples. https://github.com/suvarchal/IPyNCL

Install the newest version of NCL (current version is 6.5.0) from http://ncl.ucar.edu/Download/. I recommend to use conda to install the software.

In some notebooks the CDO (Climate Data Operators) are used to do computations. NCL and CDO complement one another very well. See installation instructions https://code.mpimet.mpg.de/projects/cdo/wiki#Installation-and-Supported-Platforms

Some scripts use ImageMagicks convert program to cut off white space of the plot files. If you don't want to install it you have to uncomment the relevant code lines.

Most of the data sets used in the notebooks are part of the NCL software package. If NCL is installed you can find the data sets in the directory $NCARG_ROOT/lib/ncarg/data/nug/.

The examples won't run correctly online in GitHub because the NCL kernel and ImageMagicks is not installed. Download the notebooks, install the NCL kernel (and ImageMagicks) and run the notebooks on your local computer

jupyter notebook

Sometimes you have to run all cells again when the plots won't be updated. If this won't help save the notebook, click on 'file -> close and halt' and reopen the notebook.