Why did I love this book?
This was the first (and still the best) book I ever read on how scientists collect and use the data for forecasting the weather and predicting climate change. I am particularly impressed with its scope–it starts with early attempts by 17th and 18th-century scientists to agree on how to measure things like wind and rainfall and ends with today’s world of satellites and computer models.
The book really brings alive the work of a massive network of scientists around the world collecting and analyzing observations about planet Earth.
1 author picked A Vast Machine as one of their favorite books, and they share why you should read it.
The science behind global warming, and its history: how scientists learned to understand the atmosphere, to measure it, to trace its past, and to model its future.
Global warming skeptics often fall back on the argument that the scientific case for global warming is all model predictions, nothing but simulation; they warn us that we need to wait for real data, “sound science.” In A Vast Machine Paul Edwards has news for these skeptics: without models, there are no data. Today, no collection of signals or observations—even from satellites, which can “see” the whole planet with a single instrument—becomes global…
- Coming soon!