Capella Datascience Case Study

This case study demonstrates how an engineering team designing an autonomous ocean monitoring drone uses Capella Datascience to evaluate environmental operational limits:

1. Dataset Ingestion: Import regional high-resolution ocean wave and wind NetCDF forecasts (e.g. significant wave height, surface wind speed).
2. Exploratory Slicing: Use NetCDFPlotView to observe 72-hour forecast progressions across vertical depth layers and surface coordinates.
3. Configuration Export: Save key risk scenarios to a .ncconfig book for repeatable verification.
4. Simulation Verification: Run Python Monte Carlo simulations in Jupyter notebooks to confirm system power budgets against empirical currents.