  This paper presents a multiscale modeling framework (MMF) to model moist
atmospheric limited-area weather. The MMF resolves large-scale convection using
a coarse grid while simultaneously resolving local features through numerous
fine local grids and coupling them seamlessly. Both large- and small-scale
processes are modeled using the compressible Navier-Stokes equations within the
Nonhydrostatic Unified Model of the Atmosphere (NUMA), and they are discretized
using a continuous element-based Galerkin method (spectral elements) with
high-order basis functions. Consequently, the large-scale and small-scale
models share the same dynamical core but have the flexibility to be adjusted
individually. The proposed MMF method is tested in 2D and 3D idealized
limited-area weather problems involving storm clouds produced by squall line
and supercell simulations. The MMF numerical results showed enhanced
representation of cloud processes compared to the coarse model.
