This Paleobook covers basic examples of how to access, process and visualize CMIP6 and Last Millennium Reanalysis Project.
Studying climate data from carefully defined simulations, such as the PMIP experiments, and integrating them with real-world data poses both technical and scientific challenges.
Here we look at how to leverage multiple cloud-based data sources to examine a few aspects of climate evolution over the last millennium. In addition to information about how to pull data using intake
and wrangle it using Xarray
, these notebooks include tips about how to explore climate variables as time series and spatially resolved snapshots.
Jordan Landers, Julien Emile-Geay
This Paleobook is made up of two sections: Lifehacks, and Science Bits.
This section covers nuts and bolts about how to access cloud available data, process it, and make some stock visualizations.
This section applies technical skills from the Lifehacks section in a pair of example analyses.
You can either run the notebook using Binder, or on your local machine.
The simplest way to interact with a Jupyter Notebook is through
Binder, which enables the execution of a
Jupyter Book in the cloud. The details of how this works are not
important for now. All you need to know is how to launch a PaleoBooks chapter via Binder. Simply navigate your mouse to
the top right corner of the book chapter you are viewing and click
on the rocket ship icon, (see figure below), and be sure to select
“launch Binder”. After a moment you should be presented with a
notebook that you can interact with. I.e. you’ll be able to execute
and even change the example programs. You’ll see that the code cells
have no output at first, until you execute them by pressing
{kbd}Shift
+{kbd}Enter
. Complete details on how to interact with
a live Jupyter notebook are described in Getting Started with
Jupyter.
If you are interested in running this material locally on your computer, you will need to follow this workflow:
-
Clone the
https://github.com/LinkedEarth/LMR_CMIP_paleobook
repository:git clone https://github.com/LinkedEarth/LMR_CMIP_paleobook.git
-
Create and activate your conda environment from the
environment.yml
fileconda env create -f environment.yml conda activate conda-env-paleobook-dev-py
-
Move into the
notebooks
directory and start up Jupyterlabcd notebooks/ jupyter lab