Implicit learning of convective organization explains precipitation stochasticity
Cloud and convection take many structure and degrees of organization, which are still absent in most parameterizations. But does that structure matter for precipitation? This preprint , led by Sara Shamekh, proposes an elegant method to include organization in the parameterization of precipitation that results in a significant improvement in predicting precipitation, especially extremes, at GCM scale.