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| <img src="thumbnail.png" alt="thumbnail" width="300"/> | ||
| <img src="_static/SGPfig.png" width=300 alt="SGP"> | ||
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| # (Replace_with_your_title) Cookbook | ||
| # Large Scale Forcing Impact on Shallow Cumulus Fields over SGP | ||
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| [](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 | ||
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| This Project Pythia Cookbook covers ... (replace `...` with the main subject of your cookbook ... e.g., _working with radar data in Python_) | ||
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| ## 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? | ||
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| (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?) | ||
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| ## 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. | ||
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| [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) | ||
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| ### Contributors | ||
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| <a href="https://github.com/ProjectPythia/cookbook-template/graphs/contributors"> | ||
| <img src="https://contrib.rocks/image?repo=ProjectPythia/cookbook-template" /> | ||
| </a> | ||
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| ## Structure | ||
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| (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.) | ||
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| ### Section 1 ( Replace with the title of this section, e.g. "Foundations" ) | ||
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| (Add content for this section, e.g., "The foundational content includes ... ") | ||
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| ### Section 2 ( Replace with the title of this section, e.g. "Example workflows" ) | ||
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| (Add content for this section, e.g., "Example workflows include ... ") | ||
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| ## Running the Notebooks | ||
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| You can either run the notebook using [Binder](https://binder.projectpythia.org/) or on your local machine. | ||
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| ### Running on Binder | ||
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| 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). | ||
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| ### Running on Your Own Machine | ||
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| If you are interested in running this material locally on your computer, you will need to follow this workflow: | ||
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| (Replace "cookbook-example" with the title of your cookbooks) | ||
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| 1. Clone the `https://github.com/ProjectPythia/cookbook-example` repository: | ||
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| ```bash | ||
| git clone https://github.com/ProjectPythia/cookbook-example.git | ||
| ``` | ||
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| 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 |
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