All ensemble forecasts utilize initial conditions generated through a cycled data assimilation process that incorporates targeted MPEX dropsonde observations. Forecasts for a given mission begin at 1500 UTC, extend forward 15 h, and are conducted on a domain encompassing the conterminous United States with 3 km horizontal grid spacing and 51 vertical levels. For a given mission, five thirty-member sets of ensemble forecasts are conducted, each utilizing a different planetary boundary layer parameterization. The chosen parameterizations are identical to those considered by Coniglio et al. (2013, Wea. Forecasting): the local-mixing Mellor-Yamada-Janjic (MYJ), Mellor-Yamada-Nakanishi-Niino level 2.5 (MYNN2.5), and Quasi-Normal Scale Elimination (QNSE) parameterizations and the non-local-mixing Asymmetric Cloud Model version 2 (ACM2) and Yonsei University (YSU) parameterizations.
Convection initiation events across the central United States are identified from objects in the convectively-active field with observed or simulated radar reflectivity of 35 dBz or greater at the -10 C level for at least thirty minutes. All convection initiation events occurring between 1500 UTC and 0600 UTC are considered. For each case considered, all ensembles are found to overproduce the number of convection initiation events, with the ACM2-based ensembles exhibiting the smallest degree of overproduction (~1.5 times observed) and the MYJ-based ensembles exhibiting the greatest degree of overproduction (>2 times observed). For the cases considered, the overproduction of convection initiation is greatest during the local early afternoon hours and smallest during the local mid-to-late evening hours. The presentation will focus upon the evaluation of potential causes of this overproduction (including insufficient entrainment by simulated updrafts and overly-energetic turbulent circulations within the planetary boundary layer), why it preferentially occurs during the local daytime hours for the cases considered, and its implications upon the predictability of convection initiation.