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 # Sphinx build info version 1
 # This file hashes the configuration used when building these files. When it is not found, a full rebuild will be done.
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+config: 84a58672d4bccc7ebaea6f27470139f1
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-<img src="thumbnail.png" alt="thumbnail" width="300"/>
+<img src="CFC_logo.PNG" alt="thumbnail" width="300"/>
 
-# (Replace_with_your_title) Cookbook
+# Caribbeans for Climate: Understanding extreme weather variability in the Caribbean region Cookbook
 
-[![nightly-build](https://github.com/ProjectPythia/cookbook-template/actions/workflows/nightly-build.yaml/badge.svg)](https://github.com/ProjectPythia/cookbook-template/actions/workflows/nightly-build.yaml)
-[![Binder](https://binder.projectpythia.org/badge_logo.svg)](https://binder.projectpythia.org/v2/gh/ProjectPythia/cookbook-template/main?labpath=notebooks)
-[![DOI](https://zenodo.org/badge/475509405.svg)](https://zenodo.org/badge/latestdoi/475509405)
+[![nightly-build](https://github.com/ProjectPythia/CFC-extreme-weather-cookbook/actions/workflows/nightly-build.yaml/badge.svg)](https://github.com/ProjectPythia/CFC-extreme-weather-cookbook/actions/workflows/nightly-build.yaml)
+[![Binder](https://binder.projectpythia.org/badge_logo.svg)](https://binder.projectpythia.org/v2/gh/ProjectPythia/CFC-extreme-weather-cookbook/main?labpath=notebooks)
+[![DOI](https://zenodo.org/badge/813816008.svg)](https://zenodo.org/badge/latestdoi/813816008)
 
-This Project Pythia Cookbook covers ... (replace `...` with the main subject of your cookbook ... e.g., _working with radar data in Python_)
+This Project Pythia Cookbook covers exploring extreme weather variability in the atmosphere and ocean using CMIP6 data.
 
 ## Motivation
 
-(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?)
+Extreme weather events, both atmospheric and oceanic, are increasing in frequency and intensity as a consequence of anthropogenic warming. The processes responsible for such events and their impacts on Caribbean lives remain to be well understood. Our Caribbeans for Climate community (a community of Caribbean-identified climate scientists, oceanographers, and practitioners) have created a cookbook analyzing Caribbean atmospheric and oceanic extreme weather variability using Coupled Model Intercomparison Project Phase 6 (CMIP6) data. In this notebook, we execute basic statistical analysis to investigate the linkages between extreme atmospheric and oceanic heat-related events and the possible causes behind them.
+
+#### Acknowledgements
+We would like to especially thank [Justus Magin](https://github.com/keewis) for his technical support. Without his expertise we could not have been able to efficiently run the extreme SSTs notebook.
 
 ## Authors
 
-[First Author](@first-author), [Second Author](@second-author), etc. _Acknowledge primary content authors here_
+[Jhordanne Jones](github/jhordannej), [Shanice Bailey](github/shanicetbailey), [Caribbeans For Climate community](https://www.caribbeansforclimate.com/).
 
 ### Contributors
 
-<a href="https://github.com/ProjectPythia/cookbook-template/graphs/contributors">
-  <img src="https://contrib.rocks/image?repo=ProjectPythia/cookbook-template" />
+<a href="https://github.com/ProjectPythia/CFC-extreme-weather-cookbook/graphs/contributors">
+  <img src="https://contrib.rocks/image?repo=ProjectPythia/CFC-extreme-weather-cookbook" />
 </a>
 
 ## 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.)
+_This cookbook has three sections: "Extreme SSTs" and "Extreme Precipitation" and "Links between atmosphere, ocean and ENSO"._
 
-### Section 1 ( Replace with the title of this section, e.g. "Foundations" )
+### Section 1 Extreme SSTs 
 
 (Add content for this section, e.g., "The foundational content includes ... ")
 
-### Section 2 ( Replace with the title of this section, e.g. "Example workflows" )
+### Section 2 Caribbean precipitation extremes using HighResMIP
+
+In this notebook, we'll examine precipitation extremes using the HighResMIP data. We'll do the following:
+- Making subregional-scale plots with the HighResMIP
+- Plot spatial maps of linear trends in summertime environmental variables
+- Calculate a seasonal indicator of tropical cyclogenesis
+
+### Section 3 Links between atmosphere, ocean and ENSO
 
 (Add content for this section, e.g., "Example workflows include ... ")
 
@@ -59,22 +69,20 @@ Jupyter](https://foundations.projectpythia.org/foundations/getting-started-jupyt
 
 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:
+1. Clone the `https://github.com/ProjectPythia/CFC-extreme-weather-cookbook.git` repository:
 
    ```bash
-    git clone https://github.com/ProjectPythia/cookbook-example.git
+    git clone https://github.com/ProjectPythia/CFC-extreme-weather-cookbook.git
    ```
 
-1. Move into the `cookbook-example` directory
+1. Move into the `notebooks` directory
    ```bash
-   cd cookbook-example
+   cd notebooks/
    ```
 1. Create and activate your conda environment from the `environment.yml` file
    ```bash
    conda env create -f environment.yml
-   conda activate cookbook-example
+   conda activate CFC-extreme-weather-cookbook
    ```
 1. Move into the `notebooks` directory and start up Jupyterlab
    ```bash