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pro vyhledávání: '"Smith, Leslie A"'
Autor:
Amarel, James, Rudolf, Christopher, Iliopoulos, Athanasios, Michopoulos, John, Smith, Leslie N.
The present paper is concerned with deep learning techniques applied to detection and localization of damage in a thin aluminum plate. We used data collected on a tabletop apparatus by mounting to the plate four piezoelectric transducers, each of whi
Externí odkaz:
http://arxiv.org/abs/2409.06084
Efficient and effective modeling of complex systems, incorporating cloud physics and precipitation, is essential for accurate climate modeling and forecasting. However, simulating these systems is computationally demanding since microphysics has cruc
Externí odkaz:
http://arxiv.org/abs/2407.20886
Beyond Linear Decomposition: a Nonlinear Eigenspace Decomposition for a Moist Atmosphere with Clouds
A linear decomposition of states underpins many classical systems. This is the case of the Helmholtz decomposition, used to split vector fields into divergence-free and potential components, and of the dry Boussinesq system in atmospheric dynamics, w
Externí odkaz:
http://arxiv.org/abs/2405.11107
We consider a rotating non-hydrostatic flow with arbitrary stratification and argue that 1) the appropriate form of potential vorticity (PV) for this system is in terms of isopycnal deviation and 2) the decomposition into energetically orthogonal sol
Externí odkaz:
http://arxiv.org/abs/2403.20269
Potential vorticity (PV) is one of the most important quantities in atmospheric science. The PV of each fluid parcel is known to be conserved in the case of a dry atmosphere. However, a parcel's PV is not conserved if clouds or phase changes of water
Externí odkaz:
http://arxiv.org/abs/2311.09382
Publikováno v:
Oceanography, 2023 Dec 01. 36(4), 96-101.
Externí odkaz:
https://www.jstor.org/stable/27278264
The precipitating quasi-geostrophic equations go beyond the (dry) quasi-geostrophic equations by incorporating the effects of moisture. This means that both precipitation and phase changes between a water-vapour phase (outside a cloud) and a water-va
Externí odkaz:
http://arxiv.org/abs/2301.07611
A hybrid data assimilation algorithm is developed for complex dynamical systems with partial observations. The method starts with applying a spectral decomposition to the entire spatiotemporal fields, followed by creating a machine learning model tha
Externí odkaz:
http://arxiv.org/abs/2212.12573
Exact analytical expressions for available potential energy density (APE) and available potential vorticity (APV) are derived from first principles. These APE and APV expressions align with previously known quantities found using perturbation expansi
Externí odkaz:
http://arxiv.org/abs/2212.07405
One of the most important conservation laws in atmospheric and oceanic science is conservation of potential vorticity. The original derivation is approximately a century old, in the work of Rossby and Ertel, and it is related to the celebrated circul
Externí odkaz:
http://arxiv.org/abs/2206.08254