Python for ocean - atmosphere science and engineering

Nicolas Fauchereau

METOCEAN talk, 16 February 2015

https://github.com/nicolasfauchereau/metocean

• The point of entry (index) for the notebooks

Some interesting tools

• runipy (running IPython notebooks from the command line)

  see the note inside this notebook: older versions of runipy will not work with the new version of IPython (IPython 3.0) notebook (format V4). You will need to either upgrade using pip install https://github.com/paulgb/runipy/archive/master.zip
  or use nbconvert (which comes with IPython) and can now execute IPython notebooks in place.

• Anaconda and conda

Some interesting libraries

• Pandas
• xray
• statsmodels and seaborn

Machine Learning in Python with scikit-learn

• Intro to scikit-learn

• EOF decomposition of SST anomalies in the Pacific with scikit-learn

• K-means clustering of SST anomalies in the Pacific with scikit-learn

EOF decomposition using the eofs package

• EOF decomposition of SST anomalies in the Pacific with eofs

Calculate streamfunction and velocity potential from vector winds (U and V components) using windspharm

• installation instructions and examples for windspharm

Wavelet analysis of climate time-series in Python

• Wavelets in Python