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Own product · Visualisation · Geodata & remote sensing

Wetterzeile

Weather in lines: rain for the next two hours, an honest forecast with its uncertainty and official warnings for every place in Germany – from the open data of the German Weather Service. Our own product.

Abb. 01Screenshot of wetterzeile.com, sample location Cologne: current temperature in large type, above it temperature, rain and wind for the next hours as lines
places and 8,172 postcodes – every place in Germany is one tap away

14,420

places and 8,172 postcodes – every place in Germany is one tap away

GeoNames, CC BY 4.0, as of 28/30 Sep 2026

rain for the next two hours from the radar of the German Weather Service

2 h

rain for the next two hours from the radar of the German Weather Service

the only weather source: ICON-D2/EU with ensemble, MOSMIX, radar and warnings, fetched by our own data collector

DWD

the only weather source: ICON-D2/EU with ensemble, MOSMIX, radar and warnings, fetched by our own data collector

DWD Open Data, CC BY 4.0

01Starting point

Weather apps show icons that promise more precision than a forecast has – plus ads and alerts every few minutes. The question “Will it rain, and when?” needs an answer you can read in a second and trust.

02Approach

  1. 01Our own data collector in Python fetches models, station forecasts, radar and warnings directly from the German Weather Service and stores them in a compact binary format.
  2. 02The forecast as a line instead of a row of icons; the ensemble shows how certain it is.
  3. 03At the top one sentence that sums up the situation (“Dry until about 1 am, then rain.”), below it the day in lines to scroll through.
  4. 04Official warnings unchanged, plus pollen, UV and biometeorology – only when they matter.
  5. 05Gaps in station data are bridged and marked as estimated, never silently invented.

03Outcome

Wetterzeile is online at wetterzeile.com and is the first member of the Zeilen family: tools that answer an everyday question honestly and quickly.

  • Next.js
  • TypeScript
  • Python-Datensammler
  • DWD Open Data
  • Canvas
  • Vitest
View project

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