Software

Essential Software

The following is a list of essential software packages and the links to their web pages:

Many of these can be installed using anaconda [1].

CDO

https://code.mpimet.mpg.de/projects/cdo/.

Note that CDO has a lot of built-in functions that are not well documented, but details about these can be usually found in their discussion forums, https://code.mpimet.mpg.de/projects/cdo/boards.

Python

Instructions on how to download and install Python for all OSs can be found at: https://www.python.org/.

It is usually recommended to use the Anaconda distribution to install Python. Details on how to do this are here: https://www.anaconda.com/

Python can be combined with a good Integrated Development Environment (IDE) of your choice. All existing IDEs have their pros and cons. Some of the most popular IDEs are the following:

• IDLE [2]
• PyCharm [3]
• Visual Studio Code[4]
• Sublime Text [5]
• Jupyter [6]
• Atom [7]
• Spyder [8]

Python boasts a large number of packages. Some of the most used packages for manipulating large files in NetCDF, HDF5 or CSV formats are the following:

Data analysis:

• NumPy [9]
• xarray [10], easy handling of large nc files.
• pandas [11]
• SciPy [12]

Parallel computing, Machine learning, Deep learning etc.:

• dask [13]
• scikit-learn [14]
• Keras [15]
• PyTorch [16]
• TensorFlow [17]

Data visualization:

• seaborn [18]
• matplotlib [19]
• Bokeh [20]
• plotly [21]
• Geoplotlib [22]

Most of these packages are distributed through either Conda [23] or Pip [24].

On top of these, various users also create packages tuned for specific purposes. They are usually made public through GitHub [25].

Various forums exist for the sole purpose of clearing specific questions about coding. One such forum is stackoverflow[26]. Medium [27] is also a good source for reading up about new ideas and tools in Python and other languages.

Visualisation

The visualisation of "nc" files can be made easier using:

• NcView [28]
• Panoply [29]
• Paraview for 3D rendering [30], note this one requires more computational power and should ideally be run through a supercomputer via VNC client.
• Cartopy (python package) for maps [31]
• Matplotlib (standard python package) [32]

Colourblind Friendly Plotting Tools

Here's a list of a few websites that have information and also palette generation for colourblind friendly plots:

• https://colorbrewer2.org/#type=sequential&scheme=BuPu&n=9
• https://hclwizard.org/
• http://hclwizard.org:3000/hclwizard/