This notebook shows you a basic workflow from accessing CMIP6 model data freely available from the Pangeo Cloud to creating simple maps and time series plots.
This Jupyter notebook uses the following libraries:
- xarray
- numpy
- intake
- xmip
- matplotlib
- cmocean
- cartopy
- os
Given that the above packages have a number of dependencies that may be complicated to install, I am also sharing two files which contain all libraries needed to run this notebook. If you are using a Windows-based machine use the environment.yml. If you are using Linux or macOS, use the env_cross.yml file, which is cross-platform compatible. We will use the yml file to create an environment which in simple terms is a folder containing Python packages that you need for a project.
To create these environments, I used Conda, which is a popular software to manage packages and environments in Python. This means that you will neeed to install anaconda or its minimal version, miniconda before you can recreate this environment in your system. You can check this guide to help you decide whether anaconda or miniconda is right for you.
After anaconda or miniconda is installed in your computer, you can use the yml file to create an environment. Open the Anaconda Prompt, and type the following line: conda env create -f ENVIRONMENT_FILE_HERE.yml. Make sure to replace ENVIRONMENT_FILE_HERE.yml for environment.yml if using Windows or env_cross.yml if using other operating system. This line of code will create a new environment in your machine named CMIP6_data, which is the name I have given to this environment. If you prefer to use a different name, you can simply add a name argument to the line above, so it will look like this: conda env create -n YOUR_ENV_NAME_HERE -f ENVIRONMENT_FILE_HERE.yml. This will take a few minutes, so go grab a cup of coffee or tea in the meantime. Once the installation is completed, you can check that your environment has been successfully installed by running the following line: conda env list, which should give you a list of all environments you have available in your computer, which should include the environment you have just created. The last step is to activate the environment, which you can do by typing: conda activate YOUR_ENV_NAME_HERE.
You can find additional information about environments in Python and how to create your own yml file here.
Note:
The cmip6_preprocessing library was renamed xmip in 2022. This notebook and all supporting files have been updated to reflect this change.