Hidden data
Hundreds of millions of historical observations are still unavailable to science, locked away in national archives, personal journals, and local records.
Historical climate data, unlocked
Everything we know about climate change and variability depends on observations. oldWeather.ai uses modern AI to transform handwritten weather logs, ship records, and archival documents into accessible digital climate data.
Why this matters
People have been observing the weather for centuries, and the billions of observations they have made are an invaluable scientific resource.
Hundreds of millions of historical observations are still unavailable to science, locked away in national archives, personal journals, and local records.
Unlocking these records can reveal historical climate patterns, improve long-term trend analysis, and strengthen future climate predictions.
oldWeather.ai aims to digitize and analyze handwritten logs cheaply and rapidly with machine learning, preserving the past while making it usable for science.
Featured example
See an example oldWeather.ai project: Auto Daily Rainfall — 50 million observations of daily rainfall from England and Wales, transformed from paper archive into an accessible digital record by AI vision-language models.