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-
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-# (Replace_with_your_title) Cookbook
+# Large Scale Forcing Impact on Shallow Cumulus Fields over SGP
-[](https://github.com/ProjectPythia/cookbook-template/actions/workflows/nightly-build.yaml)
-[](https://binder.projectpythia.org/v2/gh/ProjectPythia/cookbook-template/main?labpath=notebooks)
-[](https://zenodo.org/badge/latestdoi/475509405)
+## Group Members
+Xena Mansoura, Kyoungho Ryu, Tessa Rosenberger, Theresa Lincheck, Girish Nigamanth Raghunathan
-This Project Pythia Cookbook covers ... (replace `...` with the main subject of your cookbook ... e.g., _working with radar data in Python_)
-## Motivation
+## Science Question(s)
+1) What does the organization and structure of the shallow cumulus field look like in LASSO simulations on April 4, 2019?
+2) How does this organization and structure of shallow cu differ from observations on April 4th, 2019?
+3) How does near surface moisture influence evolution of shallow cumulus?
-(Add a few sentences stating why this cookbook will be useful. What skills will you, "the chef", gain once you have reached the end of the cookbook?)
-## Authors
+## Project Scope (what does success look like)?
+A successful project will identify trends between cloud organization and evolution of shallow cumulus clouds over the Southern Great Plains.
-[First Author](@first-author), [Second Author](@second-author), etc. _Acknowledge primary content authors here_
+## Hypothesis (or Hypotheses)
+- The scale of large scale forcing that will yield results closest to observations, depends on the date - there is no "one-size fits all" scale size.
+- Increased surface moisture will cause earlier timing of shallow cumulus creation and deeper clouds (looking at observations on LASSO case dates)
-### Contributors
-
- 
-
-
-## Structure
-
-(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.)
-
-### Section 1 ( Replace with the title of this section, e.g. "Foundations" )
-
-(Add content for this section, e.g., "The foundational content includes ... ")
-
-### Section 2 ( Replace with the title of this section, e.g. "Example workflows" )
-
-(Add content for this section, e.g., "Example workflows include ... ")
-
-## Running the Notebooks
-
-You can either run the notebook using [Binder](https://binder.projectpythia.org/) or on your local machine.
-
-### 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:
-
-(Replace "cookbook-example" with the title of your cookbooks)
-
-1. Clone the `https://github.com/ProjectPythia/cookbook-example` repository:
-
- ```bash
- git clone https://github.com/ProjectPythia/cookbook-example.git
- ```
-
-1. Move into the `cookbook-example` directory
- ```bash
- cd cookbook-example
- ```
-1. Create and activate your conda environment from the `environment.yml` file
- ```bash
- conda env create -f environment.yml
- conda activate cookbook-example
- ```
-1. Move into the `notebooks` directory and start up Jupyterlab
- ```bash
- cd notebooks/
- jupyter lab
- ```
+## Datasets
+LASSO SGP April 4th 2019
+ARM observational data sets