Jupyter Notebooks for geospatial data analysis

on YouTube ↗01h 27m

" summary

Jupyter Notebooks show executable workflows that fetch ECMWF reanalysis via OGC WMS/WCS and owslib, run WCPS server-side processing (e.g. Kelvin→°C, monthly means) and return NetCDF or numpy arrays so terabytes never need full download. Examples include building monthly global averages and climate graphs from a parameter that totals 27 GB per parameter across decades and a 188 PB archive, deployed on JupyterHub/mybinder environments (noting occasional timeouts during live demo).

AI-written summary · about

" chapters (10)

1. 0:00Jupyter Notebooks intro
2. 5:01ECMWF role in weather
3. 16:25OGC web services
4. 28:04Accessing WMS data
5. 45:29Web Coverage Services
6. 55:55Processing geospatial data with Web Coverage Processing Service
7. 1:06:26Climate graphs from data
8. 1:18:20Workflow improvements
9. 1:24:42Advanced geospatial workflows
10. 1:26:06Conclusion

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