Intake CMIP6

and open the example notebook: CMIP6_global_projections.ipynb

This repository is an experimental showcase for getting CMIP6 climate data with Intake-esm. The following packages are used:

• Intake-esm: an intake plugin for parsing an Earth System Model (ESM) catalog and loading assets into xarray datasets.
• xarray is an open source project and Python package that makes working with labelled multi-dimensional arrays simple, efficient, and fun! (Xarray Tutorial / Xarray | SciPy 2020)
• ProPlot: a lightweight matplotlib wrapper for making beautiful, publication-quality graphics. (still in development)
• xESMF: Universal Regridder for Geospatial Data (only for Linux and Mac, an alternative is the interp function from xarray)
• Dask provides advanced parallelism for analytics (jacobtomlinson/dask-video-tutorial-2020 / Dask | SciPy 2020)

Climate analysis

The purpose of this analysis will be to make a figure of the time series over the historical period, as well as projections for future scenarios.

Where is this running?

This session is running on binder.pangeo.io, a service designed and maintained by the Pangeo community for scalable earth science. It is running on Google Cloud Platform using credits generously donated by Google to that Community.

Other links

• See this great presentation: Tech Talk: Intake from Aaron Spring
• New climate simulation data models now available in Google Cloud

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Manual installation (tested only on Linux)

If you want to run this code on your own computer, follow the next steps:

1. Install Miniconda (for Linux):

wget https://repo.anaconda.com/miniconda/Miniconda3-latest-Linux-x86_64.sh 
sh Miniconda3-latest-Linux-x86_64.sh 

You should have a (base) in front of your line in your terminal, that correspond to the root environment.

2. Add conda-forge and update your installation:

conda config --add channels conda-forge  
conda config --set channel_priority strict  
conda update -n base -c defaults conda  

3. Create an environment (it is recommended not to use the root environment so that you keep a clean installation: https://conda-forge.org/docs/user/introduction.html):

conda create -n intake_CMIP6_v0

conda activate intake_CMIP6_v0

conda install xarray netcdf4 nc-time-axis xesmf esmpy \
dask python-graphviz dask-labextension "nodejs>=10.0" nbresuse \
intake-esm gcsfs zarr "proplot=0.6.4" "matplotlib=3.2.0" cartopy \
jupyter jupyterlab nb_conda_kernels

# For testing xESMF (for regrid)
pip install pytest  
pytest -v --pyargs xesmf #all need to pass

# Install dask-labextension
jupyter labextension install dask-labextension
jupyter serverextension enable dask_labextension

jupyter lab

Alternatively you can install directly from the environment file instead of step 3:

conda env create -f envs/intake_CMIP6_v0.yml

More information about environments: https://docs.conda.io/projects/conda/en/latest/user-guide/tasks/manage-environments.html