Algorithm developed could predict extreme weather events more accurately

New Delhi, May 25 (PTI) Researchers have created an algorithm to deal with cloud organisation, which they say is a missing piece of information in traditional climate model parameterisations.

They said that cloud organisation provides a way to predict precipitation intensity and variability more precisely, thus rendering event predictions more accurate.

The researchers, led by Pierre Gentine, director of the Learning the Earth with Artificial Intelligence and Physics (LEAP) Center, Columbia University, US, used global storm-resolving simulations and machine learning to create an algorithm that can deal separately with two different scales of cloud organization: those resolved by a climate model, and those that cannot be resolved as they are too small.