Notebook 2.1 - DWD Station Coverage at NUTS-3

This blog is where I write about energy and renewables analytics, operational reporting, forecasting-oriented analysis, geospatial workflows, and the practical side of building reproducible data systems.

Notebook 2.1 validates whether station density is good enough to support district-level weather feature construction.

Technical lane: Data Evaluation Business lane: Product & Delivery

Validation intent.

Coverage checks happen before feature engineering so weak districts are identified early and can be handled explicitly in model assumptions.

Data source: DWD CDC station metadata
Spatial join: Point-in-polygon assignment to NUTS-3 districts
Output class: District coverage quality labels and counts

2.1

Evaluate DWD Stations at NUTS-3

Spatially join station points to NUTS-3 polygons and quantify districts with zero or low station coverage.

DWD CDCPoint-in-polygonCoverage audit

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Core notebook sequence completed: 33%

Key output

The notebook provides a district-level station coverage table and supports the ingest decision for station-based weather inputs.

If spatial support is weak, that uncertainty should be represented as data quality metadata instead of hidden in later model outputs.

- Quality gate principle

Open notebook source