Copertina

Data Assimilation Models for Computing Probability Distributions of Complex Multiscale Systems

Fuente: arXiv

Salvato in:

Dettagli Bibliografici
Autori principali:	Qi, Di, Liu, Jian-Guo
Natura:	Preprint
Pubblicazione:	2025
Soggetti:	Numerical Analysis Chaotic Dynamics Computational Physics
Accesso online:	Acceder al recurso
Tags:	Aggiungi Tag Nessun Tag, puoi essere il primo ad aggiungerne!!

Documenti analoghi

Oscillatory solutions at the continuum limit of Lorenz 96 systems
di: Qi, Di, et al.
Pubblicazione: (2024)

Non-uniqueness of smooth solutions of the Navier-Stokes equations from almost the same initial conditions
di: Liao, Shijun, et al.
Pubblicazione: (2026)

Physical significance of artificial numerical noise in direct numerical simulation of turbulence
di: Liao, Shijun, et al.
Pubblicazione: (2025)

An Explicit Sixth Order Runge-Kutta Method for Simple Lawson Integration
di: Golden, Matthew
Pubblicazione: (2025)

Transforming Stiffness and Chaos
di: Scheffel, Jan
Pubblicazione: (2024)

Coupled Stochastic-Statistical Equations for Filtering Multiscale Turbulent Systems
di: Qi, Di, et al.
Pubblicazione: (2024)

Comparing the geometry of the basins of attraction, the speed and the efficiency of several numerical methods
di: Zotos, Euaggelos E., et al.
Pubblicazione: (2018)

Annealing approach to root-finding
di: Jo, Junghyo, et al.
Pubblicazione: (2024)

Time-Spectral Efficiency
di: Scheffel, Jan
Pubblicazione: (2024)

Clean numerical simulation (CNS) of three-dimensional turbulent Kolmogorov flow
di: Qin, Shijie, et al.
Pubblicazione: (2025)

Noise-expansion cascade: an origin of randomness of turbulence
di: Liao, Shijun, et al.
Pubblicazione: (2024)

Sequential data assimilation for PDEs using shape-morphing solutions
di: Hilliard, Zachary T., et al.
Pubblicazione: (2024)

Deterministic and stochastic influences on Japan and US stock and foreign exchange markets. A Fokker-Planck approach
di: Ivanova, K., et al.
Pubblicazione: (2003)

Adjoint-Based Projections for Uncertainty Quantification near Stochastically Perturbed Limit Cycles and Tori
di: Ahsan, Zaid, et al.
Pubblicazione: (2024)

The geometry of bifurcation surfaces in parameter space. I. A walk through the pitchfork
di: Ball, Rowena
Pubblicazione: (1999)

When is a System Discoverable from Data? Discovery Requires Chaos
di: Shumaylov, Zakhar, et al.
Pubblicazione: (2025)

State Estimation Using Sparse DEIM and Recurrent Neural Networks
di: Farazmand, Mohammad
Pubblicazione: (2024)

Comparing an Ensemble Kalman Filter to a 4DVAR Data Assimilation System in Chaotic Dynamics
di: Harter, Fabrício Pereira, et al.
Pubblicazione: (2026)

Orthogonal polynomial approximation and Extended Dynamic Mode Decomposition in chaos
di: Wormell, Caroline L.
Pubblicazione: (2023)

Wavelets and their use
di: Dremin, I. M., et al.
Pubblicazione: (2001)

Multi-Scale Data Assimilation in Turbulent Models
di: Fossella, Francesco, et al.
Pubblicazione: (2025)

Another look at Residual Dynamic Mode Decomposition in the regime of fewer Snapshots than Dictionary Size
di: Colbrook, Matthew J.
Pubblicazione: (2024)

Complex network topological and spectral determinants of extreme events
di: Hechler, Christian, et al.
Pubblicazione: (2026)

The conditional-mean barrier: From deterministic regression to conditional distribution learning
di: Chen, Junfeng
Pubblicazione: (2026)

Interpretable and Equation-Free Response Theory for Complex Systems
di: Lucarini, Valerio
Pubblicazione: (2025)

PREPARE: PREdicting PAndemic's REcurring Waves Amidst Mutations, Vaccination, and Lockdowns
di: Shahtori, Narges M., et al.
Pubblicazione: (2024)

Parametric Autoresonance with Time-Delayed Control
di: Roy, Somnath, et al.
Pubblicazione: (2024)

Data-Driven Reduced-Complexity Modeling of Fluid Flows: A Community Challenge
di: Schmidt, Oliver T., et al.
Pubblicazione: (2026)

Superuniversal Statistics of Complex Time-Delays in Non-Hermitian Scattering Systems
di: Shaibe, Nadav, et al.
Pubblicazione: (2024)

Beyond Static Models: Hypernetworks for Adaptive and Generalizable Forecasting in Complex Parametric Dynamical Systems
di: Vlachas, Pantelis R., et al.
Pubblicazione: (2025)

Statistics for Differential Topological Properties between Data Sets with an Application to Reservoir Computers
di: Pecora, Louis, et al.
Pubblicazione: (2024)

Revisiting time-variant complex conjugate matrix equations with their corresponding real field time-variant large-scale linear equations, neural hypercomplex numbers space compressive approximation approach
di: He, Jiakuang, et al.
Pubblicazione: (2024)

Effect of machine arithmetic errors for multi-turn invariant curve destruction
di: Nikitin, David, et al.
Pubblicazione: (2026)

Advancing Chaos Theory: A Set-Valued Perspective on Multiple Mappings with Computational Detection Algorithms
di: Alvarez, Illych, et al.
Pubblicazione: (2024)

Stochastic reduced-order Koopman model for turbulent flows
di: Chu, Tianyi, et al.
Pubblicazione: (2025)

Phase transitions in swarm optimization algorithms
di: Vantuch, Tomáš, et al.
Pubblicazione: (2025)

Trends in recurrence analysis of dynamical systems
di: Marwan, Norbert, et al.
Pubblicazione: (2024)

Time-Lagged Recurrence: a data-driven method to estimate the predictability of dynamical systems
di: Dong, Chenyu, et al.
Pubblicazione: (2024)

Parameter Analysis in Continuous Data Assimilation for Various Turbulence Models
di: Albanez, Debora A. F., et al.
Pubblicazione: (2024)

Complex network approaches to nonlinear time series analysis
di: Zou, Yong, et al.
Pubblicazione: (2025)