Zobrazeno 1 - 10
of 1 978
pro vyhledávání: '"A. Sagy"'
In this paper, we study geostrophic turbulence without external forcing or dissipation, using a Casimir-preserving numerical method. The research examines the formation of large zonal jets, common in geophysical flows, especially in giant gas planets
Externí odkaz:
http://arxiv.org/abs/2409.05432
Accurate long-term predictions of large-scale flow features on planets are crucial for understanding global atmospheric and oceanic systems, necessitating the development of numerical methods that can preserve essential physical structures over exten
Externí odkaz:
http://arxiv.org/abs/2409.05410
An integrator for a class of stochastic Lie-Poisson systems driven by Stratonovich noise is developed. The integrator is suited for Lie-Poisson systems that also admit an isospectral formulation, which enables scalability to high-dimensional systems.
Externí odkaz:
http://arxiv.org/abs/2408.16701
Autor:
Ephrati, Sagy
A framework for deriving probabilistic data-driven closure models is proposed for coarse-grained numerical simulations of turbulence in statistically stationary state. The approach unites the ideal large-eddy simulation model and data assimilation me
Externí odkaz:
http://arxiv.org/abs/2408.14838
Publikováno v:
Natural Hazards and Earth System Sciences, Vol 20, Pp 125-148 (2020)
We present a methodology for mapping faults that constitute a potential hazard to structures, with an emphasis on ground shake hazards and on surface rupture nearby critical facilities such as dams and nuclear power plants. The methodology categorise
Externí odkaz:
https://doaj.org/article/ab6c287d20bf42c798fd1d1b351ef1b2
We present a geometric derivation of the quasi-geostrophic equations on the sphere, starting from the rotating shallow water equations. We utilise perturbation series methods in vorticity and divergence variables. The derivation employs asymptotic an
Externí odkaz:
http://arxiv.org/abs/2402.13707
A closure model is presented for large-eddy simulation (LES) based on the three-dimensional variational data assimilation algorithm. The approach aims at reconstructing high-fidelity kinetic energy spectra in coarse numerical simulations by including
Externí odkaz:
http://arxiv.org/abs/2312.12858
Autor:
Chang, Shuyu Y, Ghahremani, Zahra, Manuel, Laura, Erfani, Mohammad, Shen, Chaopeng, Cohen, Sagy, Van Meter, Kimberly, Pierce, Jennifer L, Meselhe, Ehab A, Goharian, Erfan
Hydraulic geometry parameters describing river hydrogeomorphic is important for flood forecasting. Although well-established, power-law hydraulic geometry curves have been widely used to understand riverine systems and mapping flooding inundation wor
Externí odkaz:
http://arxiv.org/abs/2312.11476
Publikováno v:
Journal of Fluid Mechanics. 2023;975:A35
A data-driven turbulence model for coarse-grained numerical simulations of two-dimensional Rayleigh-B\'enard convection is proposed. The model starts from high-fidelity data and is based on adjusting the Fourier coefficients of the numerical solution
Externí odkaz:
http://arxiv.org/abs/2305.10043
A resolution-independent data-driven stochastic parametrization method for subgrid-scale processes in coarsened fluid descriptions is proposed. The method enables the inclusion of high-fidelity data into the coarsened flow model, thereby enabling acc
Externí odkaz:
http://arxiv.org/abs/2304.12007