# Week 9 overview

## Learning Objectives:
1. Cloud-served gridded data in Zarr format

1. Rasters, shapefiles, and cloud-served background imagery

## Learning and Participation Activities with Due Dates (Mon. Oct. 24, Noon EDT):
1. Xarray data analysis and visualization notebooks

   a. `cd` to your `/spare11/atm533/<NetID>` directory

   b. Clone Kevin's week9 folder: 
      `git clone /spare11/atm533/ktyle/week9`

   c. Open up a JupyterLab session on [Turing](https://turing.atmos.albany.edu:8000)

   d. Browse to your atm533/week9 directory

   e. Work through the notebooks

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1. Team assignments:

  Continued work on your ERA-5 case study:

  Please follow these steps ... confer among fellow teammates to decide who does what:

  a. cd to your team folder 

  b. Set your repository's remote URL: 
     ```
     git remote add origin git@github.com:DAES433533/<yourTeamName>
     ```

  c. Push your work to that URL, using `git push`

  d. In your `testing` directory:
     - Each team member should create or upload a sample file, which could be a notebook, text file, graphics file ... whatever you want (you can use the Jupyterlab interface to upload a file)
  
  e. cd back to your team directory, and then stage, commit, and push your changes to GitHub

  f. (Once the RDA THREDDS server comes back online, hopefully by Thursday 10/20)
     - Each team member should create a couple of notebooks for your case
     - You can do your development work either in your testing or midterm folder
     - Be sure to stage and commit whenever you have made changes worth saving. You can push to GitHub as well.

  - The due date of the project is now **Monday, November 7, 2022**.
 
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1. Post any questions you have on the Week 9 Blackboard Class Community Forum.