Tootfinder

Blended parameterization in an atmospheric model: Improving severestorm ensemble prediction by considering uncertainties in model physics
Khanh Hung Mai, Duc Le, Kazuo Saito, Tomizawa Futo, Yohei Sawada
https://arxiv.org/abs/2506.15472

Blended parameterization in an atmospheric model: Improving severestorm ensemble prediction by considering uncertainties in model physics
Physics parameterizations are often needed for numerical weather prediction (NWP) of precipitation forecast. This is mainly because the resolutions of most computational atmospheric models are not fine enough to explicitly resolve sub-grid scale processes associated with precipitation systems. The various options in each physical parameterization scheme introduce model physics uncertainty, leading to variations in simulated precipitation due to differing representations of physical processes. W…