The hydrostatic (H) approximation is widely used in numerical atmospheric models to simplify the underlying fluid equations and avoid the timestep restrictions imposed by vertically propagating waves (Saito et al., 2007;Salmon, 1988). Under this approximation the atmosphere is assumed to be continuously in hydrostatic equilibrium, with a balance between gravity and vertical pressure gradient; in essence, any hydrostatic imbalances are assumed to be corrected instantaneously. The hydrostatic approximation can be shown to be a reasonable assumption when the horizontal scale is much larger than the vertical scale. However, nonhydrostatic (NH) effects are crucial to the simulation of certain fine-scale phenomena, such as deep convection and flow over topography; in these circumstances, departures from hydrostatic equilibrium need to be taken into account. While the horizontal grid spacing necessary for producing NH effects is generally around 10 km, recent studies have also been shown that the inclusion of moist physics can lead to significant divergence between H and NH models even around 36 km grid spacing (Gao et al., 2017;Yang et al., 2017). While this grid spacing is finer than the typical grid spacing for global climate models, recent pushes toward higher horizontal resolution in atmospheric models have placed us squarely in this regime (Caldwell et al., 2021;Haarsma et al., 2016;Stevens et al., 2019). Consequently, it is both important and timely to investigate NH effects in global climate modeling systems, particularly in the context of seasonal to climatological scale simulations.