Zobrazeno 1 - 10
of 68
pro vyhledávání: '"Lunasin, Evelyn"'
Autor:
lliopoulos, Athanasios P., Lunasin, Evelyn, Michopoulos, John G., Rodriguez, Steven N., Wiggins, Stephen
This study presents a method, along with its algorithmic and computational framework implementation, and performance verification for dynamical system identification. The approach incorporates insights from phase space structures, such as attractors
Externí odkaz:
http://arxiv.org/abs/2411.10910
Mesoscale eddies are critical in ocean circulation and the global climate system. Standard eddy identification methods are usually based on deterministic optimal point estimates of the ocean flow field. However, uncertainty exists in estimating the f
Externí odkaz:
http://arxiv.org/abs/2405.12342
Determining the optimal locations for placing extra observational measurements has practical significance. However, the exact underlying flow field is never known in practice. Significant uncertainty appears when the flow field is inferred from a lim
Externí odkaz:
http://arxiv.org/abs/2307.12779
Lagrangian descriptors provide a global dynamical picture of the geometric structures for arbitrarily time-dependent flows with broad applications. This paper develops a mathematical framework for computing Lagrangian descriptors when uncertainty app
Externí odkaz:
http://arxiv.org/abs/2307.04006
Publikováno v:
In Physica D: Nonlinear Phenomena November 2024 467
Publikováno v:
In Physica D: Nonlinear Phenomena April 2024 460
Complex nonlinear turbulent dynamical systems are ubiquitous in many areas. Recovering unobserved state variables is an important topic for the data assimilation of turbulent systems. In this article, an efficient continuous in time data assimilation
Externí odkaz:
http://arxiv.org/abs/2105.10020
Publikováno v:
In Physica D: Nonlinear Phenomena January 2023 443
In this paper we survey the various implementations of a new data assimilation (downscaling) algorithm based on spatial coarse mesh measurements. As a paradigm, we demonstrate the application of this algorithm to the 3D Leray-$\alpha$ subgrid scale t
Externí odkaz:
http://arxiv.org/abs/1702.01506
Analyzing the validity and success of a data assimilation algorithm when some state variable observations are not available is an important problem in meteorology and engineering. We present an improved data assimilation algorithm for recovering the
Externí odkaz:
http://arxiv.org/abs/1608.04770