This cookbook will show CACTI data access, manipulation, and some results regarding the CACTI deep convection case study.
Natalia Roldan Eddie Wolff Dhwanit J Mise Victor Ojo, Alfonso Ladino, Max Grover
(State one or more sections that will comprise the notebook. E.g., This cookbook is broken up into two main sections - "Foundations" and "Example Workflows." Then, describe each section below.)
(Add content for this section, e.g., "The foundational content includes ... ")
(Add content for this section, e.g., "Example workflows include ... ")
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 Pythia
Cookbooks 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/aladinor/cacti-deep-convectionrepository:git clone https://github.com/aladinor/cacti-deep-convection
-
Move into the
cacti-deep-convectiondirectorycd cacti-deep-convection -
Create and activate your conda environment from the
environment.ymlfileconda env create -f environment.yml conda activate cacti-deep-convection-dev
-
Move into the
notebooksdirectory and start up Jupyterlabcd notebooks/ jupyter lab