Boundary Layer Structure
Hadassah Kaplan,Nathan Dinar +1 more
- 01 Jan 1984
25
About: The article was published on 01 Jan 1984. The article focuses on the topics: Blasius boundary layer & Boundary layer thickness.
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Citations
The Moist Boundary Layer under a Mid-latitude Weather System
TL;DR: In this article, a conceptual model of dry boundary-layer structure under synoptic systems was extended to include moist processes, using idealised simulations of cyclone waves to investigate the three-way interaction between the boundary layer, atmospheric moisture and large-scale dynamics.
79
Bulk models of the sheared convective boundary layer : Evaluation through large eddy simulations
TL;DR: In this paper, a set of first-order model (FOM) equations, describing the sheared convective boundary layer (CBL) evolution, is derived, and the model output is compared with predictions of the zero-order bulk model (ZOM) for the same CBL type.
Logarithmic temperature profiles of turbulent Rayleigh-B\'enard convection in the classical and ultimate state for a Prandtl number of 0.8
TL;DR: In this article, the authors report on experimental determinations of the temperature field in the interior (bulk) of turbulent Rayleigh-Benard convection for a cylindrical sample with aspect ratio (diameter over height) of 0.8.
45
The Generation and Forecast of Extreme Winds during the Origin and Progression of the 2017 Tubbs Fire
Janice L. Coen,Wilfrid Schroeder,Brad Quayle +2 more
- 01 Nov 2018
TL;DR: The authors applied the CAWFE® coupled numerical weather prediction-fire modeling system to investigate the airflow regime and extreme wind peaks underlying the extreme fire behavior using simulations that refine from a 10 km to a 185 m horizontal grid spacing.
32
A Stochastic Single-Particle Lagrangian Model for the Concentration Fluctuations in a Plume Dispersing Inside an Urban Canopy
TL;DR: In this paper, a new approach for estimating concentration fluctuations intensity in dense built-up environments using a Lagrangian stochastic particle model is described, where the concentration variance is represented by particles that advect and diffuse throughout the computational domain.
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