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A physical model is proposed for the estimation of the foam impact on the variation of the effective drag coefficient, C_d, with reference to the wind speed U10 in stormy and hurricane conditions. In the present model C_d is approximated by…

大气与海洋物理 · 物理学 2014-10-07 Ephim Golbraikh , Yuri M. Shtemler

Recently proposed model of foam impact on the air sea drag coefficient Cd has been employed for the estimation of the efficient foam-bubble radius Rb variation with wind speed U10 in hurricane conditions. The model relates Cd (U10) with the…

大气与海洋物理 · 物理学 2018-07-04 Ephim Golbraikh , Yuri M. Shtemler

Air-sea drag governs the momentum transfer between the atmosphere and the ocean, and remains largely unknown in hurricane winds. We revisit the momentum budget and eddy-covariance methods to estimate the surface drag coefficient in the…

大气与海洋物理 · 物理学 2020-09-15 Milan Curcic , Brian K. Haus

A formal averaging procedure over the air-sea interface is developed for both momentum and enthalpy surface-transfer coefficients, C_D and C_K, in hurricane conditions. This leads to splitting of both the transfer coefficients across the…

大气与海洋物理 · 物理学 2019-11-05 Ephim Golbraikh , Yuri M. Stemler

Generated under hurricane conditions, a slip layer composed of foam, bubble emulsion, and spray determines the behavior of the surface drag with wind speed. This study enables us to estimate foam's contribution to this behavior. A…

大气与海洋物理 · 物理学 2024-04-29 Ephim Golbraikh , Yuri M. Shtemler

The goal of this note is to provide a theoretical explanation for the saturation of the drag coefficient in strong wind conditions. The hydrodynamic model under consideration takes into account the important effects of airborne droplets of…

流体动力学 · 物理学 2022-12-12 Michael Stiassnie , David Andrade

This second paper of the series (see the first one in [1]) models the dynamics and structure of upper hurricane layer in adiabatic approximation. Formulation of simplified aerodynamic model allows analytically express the radial…

大气与海洋物理 · 物理学 2008-12-18 Arkady I. Leonov

Numerical prediction of the interactions between wind and ocean waves is essential for climate modeling and a wide range of offshore operations. Large Eddy Simulation (LES) of the marine atmospheric boundary layer is a practical numerical…

流体动力学 · 物理学 2024-09-06 Manuel Ayala , Zein Sadek , Ondřej Ferčák , Raúl Bayoán Cal , Dennice Gayme , Charles Meneveau

This paper presents a novel approach for implementing frequency-dependent hydrodynamic coefficients in Morison's equation, which is widely used in hydrodynamics modeling. Accurate hydrodynamic predictions using Morison's equation…

大气与海洋物理 · 物理学 2025-09-17 Md Sakif , Doyal Sarker , Kazi Mohsin , Tri Ngo , Tuhin Das

The forces acting on solar Coronal Mass Ejections (CMEs) in the interplanetary medium have been evaluated so far in terms of an empirical drag coefficient $C_{\rm D} \sim 1$ that quantifies the role of the aerodynamic drag experienced by a…

太阳与恒星天体物理 · 物理学 2015-06-11 Prasad Subramanian , Alejandro Lara , Andrea Borgazzi

The drag coefficient $C_d$ for a rigid and uniformly distributed rod canopy covering a sloping channel following the instantaneous collapse of a dam was examined using flume experiments. The measurements included space $x$ and time $t$ high…

流体动力学 · 物理学 2024-03-20 Elia Buono , Gabriel G. Katul , Davide Poggi

Due to the multitude of scales present in realistic oceanic conditions, resolving the surface stress is computationally intensive, motivating modeling approaches. In this work, a dynamic wave drag model is developed for Large Eddy…

流体动力学 · 物理学 2023-05-22 Aditya K. Aiyer , Luc Deike , Michael E. Mueller

A computational fluid dynamics (CFD) model that solves the steady-state Reynolds-Averaged Navier-Stokes (RANS) equations for buoyant compressible pollution dispersion under different meteorological conditions is developed. A 6.4 km by 6.4…

流体动力学 · 物理学 2022-11-15 Zhihao Li , Rebecca Tanzer-Gruener , Albert Presto , Peter Adams , Satbir Singh

This study investigates the hydrodynamic drag force on side-by-side flexible blades in a uniform steady current through experimental and theoretical approaches. Four different blade mimics were arranged in side-by-side bunches and tested in…

流体动力学 · 物理学 2025-01-07 Zhilong Wei , Trygve Kristiansen , David Kristiansen , Yanlin Shao

A generalized physics-based expression for the drag coefficient of spherical particles moving in a fluid is derived. The proposed correlation incorporates essential rarefied physics, low-speed hydrodynamics, and shock-wave physics to…

Monin-Obukhov similarity theory (MOST) is a well-tested approach for specifying the fluxes when the roughness surfaces are homogeneous. For flow over waves (inhomogeneous surfaces), phase-averaged roughness length scales are often…

流体动力学 · 物理学 2022-09-08 Aditya K. Aiyer , Luc Deike , Michael E. Mueller

This paper describes experimental methods for free flight measurement of drag coefficients to an accuracy of approximately 1%. There are two main methods of determining free flight drag coefficients, or equivalent ballistic coefficients: 1)…

科普物理 · 物理学 2015-03-19 Elya Courtney , Amy Courtney , Michael Courtney

The coupling between wind-waves and atmospheric surface layer turbulence sets surface drag. This coupling is however usually represented through a roughness length. Originally suggested on purely dimensional grounds, this roughness length…

流体动力学 · 物理学 2021-03-12 Alex Ayet , Bertrand Chapron , Peter Sutherland , Gabriel G. Katul

Large eddy simulations (LES) are employed to investigate the role of time-varying currents on the form drag and vortex dynamics of submerged 3D topography in a stratified rotating environment. The current is of the form $U_c+U_t \sin(2\pi…

流体动力学 · 物理学 2022-06-01 Pranav Puthan , Geno Pawlak , Sutanu Sarkar

The radius of maximum wind ($R_{max}$) in a hurricane governs the footprint of hazards, particularly damaging wind and rainfall. However, $R_{max}$ is noisy to observe directly and is poorly resolved in reanalyses and climate models. In…

大气与海洋物理 · 物理学 2022-05-11 Daniel R Chavas , John A Knaff
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