ccplot

CloudSat and CALIPSO plotting tool

ccplot < 1.5.0 (Python 2)

Linux

The following programs and libraries are required:

To install the required libraries and ccplot:

  1. Make sure you have all dependencies installed.

    On Debian-based distributions (Ubuntu, Devuan, …) you can install dependencies with:

    sudo apt install python python-dev python-numpy python-matplotlib python-mpltoolkits.basemap
    

    On Ubuntu 20.10 (use lsb_release -a to find the version number if unsure), the system basemap library version (1.2.1) is incompatible with the system matplotlib library version. Install basemap from the upstream repository instead:

    sudo apt purge python3-mpltoolkits.basemap
    sudo apt install python3-pip git libgeos-dev
    sudo pip3 install git+https://github.com/matplotlib/basemap.git
    
  2. Install PyNIO. PyNIO can be downloaded upon free registration from EOS. However, to make your life easier, you can also download PyNIO precompiled binaries without registration from this website (recommended). If you need to build PyNIO from source, follow the instructions on the PyNIO website.

    To install PyNIO from a binary distribution on Ubuntu/Debian, do:

     # Substitute the right name of the binary archive and Python version.
    
     mkdir pynio
     tar -C pynio -xzf PyNIO-1.4.0.linux-debian-x86_64-gcc432-py265-numpy141-nodap.tar.gz
    
     sudo cp -r pynio/lib/python2.6/site-packages/* /usr/local/lib/python2.6/dist-packages/
    

    On other systems:

     # Substitute the right name of the binary archive.
    
     tar -C /usr/local -xzf PyNIO-1.4.0.linux-debian-x86_64-gcc432-py265-numpy141-nodap.tar.gz
    

    Test installation (optional):

     python -c "import Nio; print Nio.__version__"
     --> 1.4.0
    
  3. Build and install ccplot:

    tar xzf ccplot-x.y.z.tar.gz
    cd ccplot-x.y.z
    
    # Python 3, ccplot >= 1.5.4:
    sudo python3 setup.py install
    
    # Python 2, ccplot < 2.0.0:
    sudo python setup.py install
    

You should now be able to run ccplot in the terminal:

ccplot -V