Repository of example scripts for the (AC)³ Project

In this repository, a number of example Jupyter notebooks are presented to access various Earth System Science datasets published within the scope of the TR172 Arctic Amplification: Climate Relevant Atmopsheric and Surface Processes and Feedback Mechanisms (AC)³ The datasets need to be downloaded separately from PANGAEA: Data Publisher for Earth & Environmental Science using the links provided in the respective notebooks.

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Dependencies

A working Python stack, including NumPy, Matplotlib, Jupyter.

If you choose to use one of the available Python Distributions (e.g. Anaconda) the following steps can be skipped.

To setup a virtual Python3 environment, virtualenv is needed.

A new virtual environment can then be created in folder pyac3 using

> virtualenv -p python3 pyac3

After activation of the virtual environment using:

> source pyac3/bin/activate

Within the newly created environment, additionally needed Python packages can be installed using pip. Note that, depending on the notebook you want to excecute, not all packages might be necessary:

> pip install cython
> pip install numpy
> pip install matplotlib
> pip install scipy
> pip install cartopy
> pip install jupyter
> pip install python-hdf4
> pip install netcdf4

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Starting a Jupyter Notebook server:

A Jupyter Notebook server can be started locally in the virtual environment using:

> source pyac3/bin/activate
> jupyter-notebook

The standard browser should pop up and the desired notebook file (something.ipynb) can be started by selecting it.