Recently, I built and refined a practical workflow to help students use ERA5 data with SCALE-RM more confidently.
This effort started from a common gap: students can follow documentation step by step, but they still need a smooth path from “data request” to “ready-to-run experiment setup”. My goal was to make that path clearer, less error-prone, and easier to repeat across different test cases.
Instead of focusing on individual commands, I focused on the full user experience:
- clear onboarding for first-time users,
- consistent dataset preparation,
- fewer manual pitfalls,
- and a reusable structure students can adapt to their own projects.
I originally prepared this as a tutorial for students, and I plan to keep improving it as we test more cases and collect feedback.
If you are training newcomers in cloud-resolving modeling, I have found that investing in workflow design early saves significant time later.