This repository hosts my code for the 2019 Climate informatics conference.

I have included some example experiments in the notebooks folder including the following experiments:

• Global Information Content (TODO)
• Spatial-Temporal Analysis of variables (TODO)
• Temporal analysis of Drought Indicators (TODO)
• Climate Model Comparisons (TODO)

You can create the environment from the .yml file found in the main repo.

conda env create -f environment.yml -n myenv
source activate myenv

RBIG (Rotation-Based Iterative Gaussianization)

This is a package I created to implement the RBIG algorithm. This is a multivariate Gaussianization method that allows one to calculate information theoretic measures such as entropy, total correlation and mutual information. More information can be found in the repository esdc_tools.

Earth Science Data Cube Tools

These are a collection of useful scripts when dealing with datacubes (datasets in xarray Dataset format). I used a few preprocessing methods as well as a Minicuber implementation which transforms the data into spatial and/or temporal features. More information can be found in the repository py_rbig.

Earth System Data Lab

This is sponsered by the earthsystemdatalab. They host a cube on their servers which include over 40+ variables including soil moisture and land surface temperature. They also feature a free-to-use JupyterHub server for easy exploration of th data.

Climate Data Store

This is a database of climate models implemented by the ECMWF and sponsored by the Copernicus program. I use a few climate models from here by using the CDSAPI. There are some additional instructions to install this package which requires registration and agreeing to some terms of use for each dataset.

Links to my co-authors' and my information:

• J. Emmanuel Johnson - Website | Scholar | Twitter | Github
• Maria Piles - Website | Scholar | Twitter
• Valero Laparra - Website | Scholar
• Gustau Camps-Valls - Website | Scholar | Twitter