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Gaussian Process Poster for Oh and Austin

This repository contains source code to produce the figures in:

Oh, Gunho and P. H. Austin, 2018: Quantifying the Oscillatory Evolution of Simulated Boundary-Layer Cloud Fields Using Gaussian Processes, 15th Conference on Cloud Physics, American Meteorological Society, Vancouver BC, Canada

Files

  • Main Poster (pdf)

  • The poster is split into two Jupyter notebooks

Installation

  • Install https://conda.io/miniconda.html, accepting the defaults

  • Download conda_packages.txt by right-clicking on the link.

  • Start bash shell (osx/linux) or an anaconda shell (windows) and type:

     conda install --file conda_packages.txt
    

    to get the prerequisite packages

  • If this succeeds, then typing he command:

      python -c 'import numpy;print(numpy.__version__)'
    

    should print:

        1.14.2
    

    (or possibly a higher version)

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  • HTML 57.8%
  • Jupyter Notebook 41.7%
  • Python 0.5%