CACTI Deep Convection Initiation

Motivation

This cookbook will show CACTI data access, manipulation, and some results regarding a deep convection case study.

Authors

Natalia Roldan Eddie Wolff Dhwanit J Mise Victor Ojo, Alfonso Ladino, Max Grover

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, 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.

Running on Your Own Machine

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-convection repository:
```
git clone https://github.com/aladinor/cacti-deep-convection
```
Move into the cacti-deep-convection directory
```
cd cacti-deep-convection
```

Create and activate your conda environment from the environment.yml file

conda env create -f environment.yml
conda activate cacti-deep-convection-dev

Move into the notebooks directory and start up Jupyterlab
```
cd notebooks/
jupyter lab
```

aladinor / cacti-deep-convection

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