Kelly Y. Huang

ORCID: 0000-0003-0179-3615
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About
Contact & Profiles
Research Areas
  • Meteorological Phenomena and Simulations
  • Fluid Dynamics and Turbulent Flows
  • Plant Water Relations and Carbon Dynamics
  • Wind and Air Flow Studies
  • Climate variability and models

University of Notre Dame
2023

Princeton University
2021-2022

The generalized log law for the high-order moments of longitudinal velocity with distance from a boundary in inertial region is derived following assumptions: that random sweeping decorrelation hypothesis applies; statistics are near-Gaussian; and spectrum scales as ${k}^{\ensuremath{-}1}$ intermediate region. Measurements collected within first meter surface western deserts Utah show good agreement proposed theory even under mild thermal stratification.

10.1103/physrevfluids.7.044603 article EN Physical Review Fluids 2022-04-19

10.1016/j.ijheatfluidflow.2023.109162 article EN publisher-specific-oa International Journal of Heat and Fluid Flow 2023-05-20

The intermittency of fog occurrence (the switching between and no-fog) is a key stochastic feature that plays role in its duration the amount moisture available. Here, studied by using visibility time series collected during month July 2022 on Sable Island, Canada. In addition to visibility, air relative humidity turbulent kinetic energy, putative variables akin formation breakup conditions fog, respectively, are also analyzed same framework establish links underlying atmospheric variables....

10.3390/atmos14050875 article EN cc-by Atmosphere 2023-05-17

A generalized logarithmic law for high-order moments of passive scalars is proposed turbulent boundary layers. This analogous to the log that has been longitudinal velocity and derived by combining random sweeping decorrelation hypothesis with a spectral model informed attached eddy hypothesis. The theory predicts scalar fluctuations within inertial sublayer will vary logarithmically wall-normal distance ($z$). evaluated using high frequency time-series measurements temperature streamwise...

10.48550/arxiv.2212.04987 preprint EN other-oa arXiv (Cornell University) 2022-01-01
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