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Kevin R. Haghi, Bart Geerts, Hristo G. Chipilski, Aaron Johnson, Samuel Degelia, David Imy, David B. Parsons, Rebecca D. Adams-Selin, David D. Turner, and Xuguang Wang

This article presents a survey of atmospheric bores, their role in the initiation and organization of deep convection, and a vision for improving the forecast of atmospheric bores and nocturnal convection through a multidisciplinary approach. On the afternoon of the 10 July 2015 in Hays, Kansas, during the Plains Elevated Convection at Night (PECAN) field campaign ( Geerts et al. 2017 ), the bore group was selected to lead the evening’s intensive observation period (IOP). The PECAN forecasters

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Jonathan E. Thielen and William A. Gallus Jr.

used. Future work in this area should explore automated classification techniques, such as those made possible with machine learning, to permit the use of much larger datasets beyond those that can be feasibly analyzed by hand. Additionally, some past studies have shown that simulated convection is sensitive not only to microphysics schemes but also to the planetary boundary layer (PBL) parameterization used ( Cohen et al. 2015 ). Thus, future work should investigate how convective morphology

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