New model predicts forest rainfall interception with 91.5% accuracy.
Rainfall interception in forest canopies affects water cycles. This study created a model by simulating rainfall events in a lab. They found that the amount of rain intercepted depends on the density of rainfall and the amount of leaves in the canopy. The model also considers canopy humidity. The researchers concluded that the model accurately predicts rainfall interception with 91.5% precision.