# CACTI Deep Convection Initiation [](https://github.com/ProjectPythia/cookbook-template/actions/workflows/nightly-build.yaml) [](https://binder.projectpythia.org/v2/gh/ProjectPythia/cookbook-template/main?labpath=notebooks) [](https://doi.org/10.5281/zenodo.11265276) ## Motivation This cookbook will show CACTI data access, manipulation, and some results regarding a deep convection case study. ## Authors [Natalia Roldan](https://github.com/NataliaRoldanHenao) [Eddie Wolff](https://github.com/EWolffWX) [Dhwanit J Mise](https://github.com/dhwaniit) [Victor Ojo](victorojo24), [Alfonso Ladino](https://github.com/aladinor), [Max Grover](https://github.com/mgrover1) ### Contributors ## Structure ### CACTI field campaign ### Radar observations ### Hypothesis and research questions ### Deep convection meteorological conditions ### Microphysical features of deep convection ### LASSO simulations ## Conclusions ### Running on Binder The simplest way to interact with a Jupyter Notebook is through [Binder](https://binder.projectpythia.org/), which enables the execution of a [Jupyter Book](https://jupyterbook.org) 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](https://foundations.projectpythia.org/foundations/getting-started-jupyter.html). ### Running on Your Own Machine If you are interested in running this material locally on your computer, you will need to follow this workflow: 1. Clone the `https://github.com/aladinor/cacti-deep-convection` repository: ```bash git clone https://github.com/aladinor/cacti-deep-convection ``` 1. Move into the `cacti-deep-convection` directory ```bash cd cacti-deep-convection ``` 1. Create and activate your conda environment from the `environment.yml` file ```bash conda env create -f environment.yml conda activate cacti-deep-convection-dev ``` 1. Move into the `notebooks` directory and start up Jupyterlab ```bash cd notebooks/ jupyter lab ```