Cumulus parameterization is a technique used in numerical weather prediction models to represent the effects of small-scale cumulus clouds on larger-scale atmospheric processes, which cannot be directly resolved due to computational limitations. It involves simplifying the complex interactions of cumulus convection to improve forecasts of weather phenomena such as precipitation and atmospheric circulation.