We developed an artificial neural network to test leaf form/climate relationships.
The new algorithm (CLANN) reveals a high-resolution climatic signal in leaf form.
CLANN predictions are repeatable, robust to information loss, and precise.
The new method is applicable to fossil leaf data and could form a new climate proxy.