Simulating Dropsondes to Assess Moist Static Energy Variability in Tropical Cyclones

Interactions between clouds, water vapor, radiation, and circulation influence tropical cyclone (TC) development. Many of these interactions can be quantified by understanding tendencies the spatial variance moist static energy (MSE). Dropsondes from aircraft reconnaissance sample profiles needed to compute MSE at fine vertical resolution, may useful in analyzing feedbacks on TCs situ. However, dropsondes are spatially sparse, limited column depths depending type mission. We use idealized convection-permitting simulations examine how variability, that it, resolved using selected patterns grid points meant resemble dropsonde launch flight patterns. first depth necessary capture variability full atmosphere. then study simulated depict its relevant diabatic varying structure intensity.