DCMIP-2025 Visualization Aspects

Visualizing data 

A number of jupyter notebooks have been prepared for data visualization. These are the in the DCMIP-2025 github repo

To use these:

1. SSH into casper

2. git clone the repo

3. cd into the repo

4. Go to Jupyterhub 

5. Start a notebook

   1. While Scratch is down, please follow these instructions to launch a jupyter notebook: https://ncar-hpc-docs.readthedocs.io/en/latest/compute-systems/jupyter-and-ipython/ and for the qinteractive command, use qinteractive @casper -A UMIC0107 -q workshop -l walltime=02:00:00

   2. If the initial resource is set as Casper PBS Batch, select Casper Login and then select Casper PBS Batch again

   3. For resource selection - Casper PBS Batch

   4. Queue or reservation - workshop

   5. Project account - UMIC0107

   6. Specify Memory per Node in GB - 4

   7. Wall Time HH:MM:SS - 5:00:00

   8. Launch server

6. Open the desired notebook

7. Run all the code blocks (the notebook won't respond for a few moments when running the first code block, give it some time)

8. Modify as needed

   1. Modify paths to model output

   2. Modify desired time slices and output variables

   3. Go wild

Visualizing data on your own computer

If you don't want to use a Jupyterhub instance, you can use a Jupyter notebook on your own computer as well. 

1. Navigate to the desired directory where you will put the data on your own computer using cd

2. scp [username@casper.hpc.ucar.edu:/path/to/data] .

3. Download the jupyter notebooks 

4. Modify paths

5. Make sure all the needed libraries are installed (pip install [things])

6. Run the google notebooks

Some relevant grid files for uxarray: https://pennstateoffice365-my.sharepoint.com/:f:/g/personal/cmz5202_psu_edu/ElnOsW94oqhMq1k7rFeLrT8B_nrpmyTqlUCi5zoxeMHXfw?e=w4sDMB

Visualizing data with Google Colab

Another option is to visualize data with Google Colab. 

1. Go to this google drive folder: https://drive.google.com/drive/folders/1A-ScEIBFdzeBp1tESFIuAbepzf3gGIRj?usp=drive_link

2. Add a shortcut to your own drive

3. Make a copy of "Example visualization.ipynb"

4. Open it and run the code

5. Modify the paths as necessary

Some model output is available in that google drive folder.