---
id: books/the-weather-machine
about:
  label: The Weather Machine
  description: >-
    Andrew Blum's 2019 account of the global system of stations, satellites,
    supercomputer models and institutions behind the daily weather forecast.
  tags:
    - weather
    - forecasting
    - infrastructure
    - climate
    - narrative
  depiction: cover.jpg
book:
  authors:
    - Andrew Blum
  publisher: Ecco
  year: 2019
  isbn: '9780062368614'
  url: 'https://openlibrary.org/works/OL20799929W'
domains:
  - climate
provenance:
  origin: agent
  sources:
    - title: 'Open Library: The Weather Machine'
      url: 'https://openlibrary.org/works/OL20799929W'
    - title: 'Open Library: The Weather Machine (Ecco, 2019)'
      url: 'https://openlibrary.org/books/OL28156306M'
  created: '2026-10-17'
  reviewed: '2026-10-17'
  reviewed_by: 'Claude, from the sources listed'
  status: draft
---
Blum follows the forecast back to its sources: old weather stations, satellite launches, the scientists who built a computer model of the atmosphere, and the history of the algorithms that run inside it. He describes the result as one of the largest machines people have ever made, held together by international cooperation that is easy to take for granted and not guaranteed to last, and argues that forecasting has quietly entered a golden age that the public has not yet learned to trust.

The forecasting system is the oldest operational digital twin of a place, the whole planet, with a model fed by live observations and a daily product that people act on. Blum's book is the accessible account of how such a thing is built and kept running, and of the institutional arrangements that a twin at any scale depends on.

Cover via Open Library.