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The Maritime Continent (MC) is an exceedingly complexregion from the perspective of both its meteorology and its aerosolcharacteristics. Convection in the MC is ubiquitous and assumes a widevariety of forms under the influence of an evolving large-scale dynamic andthermodynamic context. Understanding the interaction between convectivesystems and their environment, both individually and in the aggregate,requires knowledge of the dominant patterns of spatial and temporalvariability. Ongoing cloud model ensemble studies require realisticperturbations to the atmospheric thermodynamic state to devise systemsensitivities. Apart from modeling studies, evanescent signals in thetropical system are obscured by the underlying broad-scale meteorologicalvariability, which if constrained could illuminate fine-scale physical processes.  To this end, radiosonde observations from 2008 to 2016 are examined from threeupper-air sounding sites within the MC for the purpose of exploring thedominant vertical temperature, humidity, and wind structures in the region.Principal component analysis is applied to the vertical atmospheric columnto transform patterns present in radiosonde data into canonicalthermodynamic and wind profiles for the MC. Both rotated and non-rotatedprincipal components are considered, and the emerging structure functionsreflect the fundamental vertical modes of short-term tropical variability.The results indicate that while there is tremendous spatial and temporalvariability across the MC, the primary modes of vertical thermodynamic andwind variability in the region can be represented in a lower-dimensionalsubspace. In addition, the vertical structures are very similar amongdifferent sites around the region, though different structures may manifestmore strongly at one location than another. The results indicate that, whiledifferent meteorology may be found in various parts of the MC at any giventime, the processes themselves are remarkably consistent. The ability torepresent this variability using a limited number of structure functionsfacilitates analysis of covariability between atmospheric structure andconvective systems and also enables future systematic model-based ensembleanalysis of cloud development, convection, and precipitation over the MC

Modes of vertical thermodynamic and wind variability over the Maritime Continent