| title |
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Schedule |
The Enabling Analysis in the Cloud Using NASA Earth Science Data will take place on Sunday, December 10 from 13:00-16:30.
Zoom links will be shared directly with this group via a (calendar) meeting invite.
Note, hands-on exercises will be executed from a Jupyter Lab instance in 2i2c. Click here to deploy the instance and simultaneously clone this GitHub repository to follow along with the tutorials. Please pass along your GitHub Username to get access.
| Time, PST (UTC-7) | Event | Leads/Instructors |
|---|---|---|
| 1:00 pm | Welcome / Open Science Mindset | Cassie Nickles (PO.DAAC) |
| 1:20 pm | Introduction to NASA Earthdata Cloud | Michele Thornton (ORNL DAAC) |
| 1:40 pm | Orientation and setup in JupyterHub in the Cloud | Michele Thornton (ORNL DAAC) |
| 2:00 pm | Tutorial: In-cloud Science Workflow: Search & Discovery | Aaron Friesz (LP DAAC) |
| 2:30 pm | Break | |
| 2:45 pm | Tutorial: In-cloud Science Workflow: Access, Subset & Plot | Danny Kaufman (ASDC DAAC) |
| 3:45 pm | Q & A | All NASA Openscapes Mentors |
| 4:15 pm | Closing Survey | Cassie Nickles (PO.DAAC) |
- Close out your JupyterHub instance if you are finished for the day, following these instructions.
- You will continue to have access to the 2i2c JupyterHub in AWS for two weeks following this Workshop. You may use that time on your own to continue work and learn more about migrating data access routines and science workflows to the cloud. This cloud compute environment is supported by the NASA Openscapes project.