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Interpretable structural model error discovery from sparse assimilation increments using spectral bias‐reduced neural networks: A quasi‐geostrophic turbulence test …
R Mojgani, A Chattopadhyay… - Journal of Advances in …, 2024 - Wiley Online Library
Earth system models suffer from various structural and parametric errors in their
representation of nonlinear, multi‐scale processes, leading to uncertainties in their long …
representation of nonlinear, multi‐scale processes, leading to uncertainties in their long …
Identifying the body force from partial observations of a two-dimensional incompressible velocity field
Using limited observations of the velocity field of the two-dimensional Navier-Stokes
equations, we successfully reconstruct the steady body force that drives the flow. The …
equations, we successfully reconstruct the steady body force that drives the flow. The …
Numerical solutions and analytical methods for the Kuralay equation: a path to understanding integrable systems
SH Alfalqi, MMA Khater - Optical and Quantum Electronics, 2024 - Springer
This study undertakes the challenging task of unraveling the intricacies embedded in the
integrable Kuralay equation, a cornerstone in the field of mathematical physics. Specifically …
integrable Kuralay equation, a cornerstone in the field of mathematical physics. Specifically …
Super-Exponential Convergence Rate of a Nonlinear Continuous Data Assimilation Algorithm: The 2D Navier–Stokes Equation Paradigm
We study a nonlinear-nudging modification of the Azouani–Olson–Titi continuous data
assimilation (downscaling) algorithm for the 2D incompressible Navier–Stokes equations …
assimilation (downscaling) algorithm for the 2D incompressible Navier–Stokes equations …
The bleeps, the sweeps, and the creeps: Convergence rates for dynamic observer patterns via data assimilation for the 2D Navier–Stokes equations
We adapt a continuous data assimilation scheme, known as the Azouani–Olson–Titi (AOT)
algorithm, to the case of moving observers for the 2D incompressible Navier–Stokes …
algorithm, to the case of moving observers for the 2D incompressible Navier–Stokes …
Determining modes, synchronization, and intertwinement
This article studies the interrelation between the determining modes property in the two-
dimensional (2D) Navier-Stokes equations (NSE) of incompressible fluids and the …
dimensional (2D) Navier-Stokes equations (NSE) of incompressible fluids and the …
On the infinite-nudging limit of the nudging filter for continuous data assimilation
This article studies the intimate relationship between two filtering algorithms for continuous
data assimilation, the synchronization filter and the nudging filter, in the paradigmatic context …
data assimilation, the synchronization filter and the nudging filter, in the paradigmatic context …
Data assimilation with model error: Analytical and computational study for Sabra shell model
Understanding the impact of model error on data assimilation is an important practical topic.
Model error in the subgrid scale is commonly seen in various applications as a natural …
Model error in the subgrid scale is commonly seen in various applications as a natural …
The second-best way to do sparse-in-time continuous data assimilation: Improving convergence rates for the 2D and 3D Navier-Stokes equations
We study different approaches to implementing sparse-in-time observations into the the
Azouani-Olson-Titi data assimilation algorithm. We propose a new method which introduces …
Azouani-Olson-Titi data assimilation algorithm. We propose a new method which introduces …
Mori-zwanzig latent space koopman closure for nonlinear autoencoder
The Koopman operator presents an attractive approach to achieve global linearization of
nonlinear systems, making it a valuable method for simplifying the understanding of complex …
nonlinear systems, making it a valuable method for simplifying the understanding of complex …