Evaluating the effective inflow layer of simulated supercell uaapdrafts

Christopher J. Nowotarski, John M. Peters, Jake P. Mulholland

Research output: Contribution to journalArticlepeer-review

20 Scopus citations


Proper prediction of the inflow layer of deep convective storms is critical for understanding their potential updraft properties and likelihood of producing severe weather. In this study, an existing forecast metric known as the effective inflow layer (EIL) is evaluated with an emphasis on its performance for supercell thunderstorms, where both buoyancy and dynamic pressure accelerations are common. A total of 15 idealized simulations with a range of realistic base states are performed. Using an array of passive fluid tracers initialized at various vertical levels, the proportion of simulated updraft core air originating from the EIL is determined. Results suggest that the EIL metric performs well in forecasting peak updraft origin height, particularly for supercell updrafts. Moreover, the EIL metric displays consistent skill across a range of updraft core definitions. The EIL has a tendency to perform better as convective available potential energy, deep-layer shear, and EIL depth are increased in the near-storm environment. Modifications to further constrain the EIL based on the most-unstable parcel height or storm-relative flow may lead to marginal improvements for the most stringent updraft core definitions. Finally, effects of the near-storm environment on low-level and peak updraft forcing and intensity are discussed.

Original languageEnglish (US)
Pages (from-to)3507-3532
Number of pages26
JournalMonthly Weather Review
Issue number8
StatePublished - Aug 2020

All Science Journal Classification (ASJC) codes

  • Atmospheric Science


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