Cover Image

Data Assimilation in Chaotic Systems Using Deep Reinforcement Learning

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Hammoud, Mohamad Abed El Rahman, Raboudi, Naila, Titi, Edriss S., Knio, Omar, Hoteit, Ibrahim
Format:	Preprint
Published:	2024
Subjects:	Dynamical Systems Artificial Intelligence Machine Learning Atmospheric and Oceanic Physics
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Conditioning on PDE Parameters to Generalise Deep Learning Emulation of Stochastic and Chaotic Dynamics
by: Shokar, Ira J. S., et al.
Published: (2025)

A Scalable Real-Time Data Assimilation Framework for Predicting Turbulent Atmosphere Dynamics
by: Yin, Junqi, et al.
Published: (2024)

A Physics-Informed Auto-Learning Framework for Developing Stochastic Conceptual Models for ENSO Diversity
by: Zhang, Yinling, et al.
Published: (2024)

From Classical to Quantum-Mechanical Data Assimilation: A Comparison between DATO and QMDA
by: Donno, Emanuele, et al.
Published: (2026)

Deep Learning for predicting rate-induced tipping
by: Huang, Yu, et al.
Published: (2024)

Reconstructing the Tropical Pacific Upper Ocean using Online Data Assimilation with a Deep Learning model
by: Meng, Zilu, et al.
Published: (2024)

Dynamical Systems Perspective for a Real-Time Response to a Marine Oil Spill
by: Garcia-Garrido, V. J., et al.
Published: (2025)

VAE-Var: Variational-Autoencoder-Enhanced Variational Assimilation
by: Xiao, Yi, et al.
Published: (2024)

Deep Learning for Koopman Operator Estimation in Idealized Atmospheric Dynamics
by: Millard, David, et al.
Published: (2024)

Spatio-temporal Dynamical Indices for Complex Systems
by: Dong, Chenyu, et al.
Published: (2024)

Predator and Prey: A Minimum Recipe for the Transition from Steady to Oscillating Precipitation in Hothouse Climates
by: Yang, Da, et al.
Published: (2024)

Boosting Ensembles for Statistics of Tails at Conditionally Optimal Advance Split Times
by: Finkel, Justin, et al.
Published: (2025)

Approximate probability density function for nonlinear surging in irregular following seas
by: Maki, Atsuo, et al.
Published: (2023)

The High-Frequency and Rare Events Barriers to Neural Closures of Atmospheric Dynamics
by: Chekroun, Mickaël D., et al.
Published: (2023)

Modeling Multiday Extreme Precipitation Across Eastern Australia: A Dynamical Perspective
by: Kardkasem, Ruethaichanok, et al.
Published: (2024)

A detailed analysis of the origin of deep-decoupling oscillations
by: Bailie, John, et al.
Published: (2024)

Global stability of the Atlantic overturning circulation: Edge state, long transients and boundary crisis under CO$_2$ forcing
by: Börner, Reyk, et al.
Published: (2025)

Bringing statistics to storylines: rare event sampling for sudden, transient extreme events
by: Finkel, Justin, et al.
Published: (2024)

A statistical physics and dynamical systems perspective on geophysical extreme events
by: Faranda, Davide, et al.
Published: (2023)

Probabilistic Eddy Identification with Uncertainty Quantification
by: Covington, Jeffrey, et al.
Published: (2024)

Uncertainty-Aware Spatiotemporal Super-Resolution Data Assimilation with Diffusion Models
by: Ayapilla, Aditya Sai Pranith, et al.
Published: (2026)

Dynamic Basis Function Interpolation for Adaptive In Situ Data Integration in Ocean Modeling
by: DeSantis, Derek, et al.
Published: (2023)

A non-autonomous framework for climate change and extreme weather events increase in a stochastic energy balance model
by: Del Sarto, Gianmarco, et al.
Published: (2024)

Spatial analysis of tails of air pollution PDFs in Europe
by: He, Hankun, et al.
Published: (2024)

Machine Learning-Based Estimation of Superdroplet Growth Rates Using DNS Data
by: Divyaprakash, et al.
Published: (2024)

Chaotic Behaviour of the Earth System in the Anthropocene
by: Bernardini, Alex E., et al.
Published: (2022)

Short-term wind forecasting via surface pressure measurements: stochastic modeling and sensor placement
by: Abootorabi, Seyedalireza, et al.
Published: (2024)

Learning a Stochastic Differential Equation Model of Tropical Cyclone Intensification from Reanalysis and Observational Data
by: Gee, Kenneth, et al.
Published: (2026)

Dynamical geography and transition paths of Sargassum in the tropical Atlantic
by: Beron-Vera, F. J., et al.
Published: (2022)

Applications of Deep Learning parameterization of Ocean Momentum Forcing
by: Wang, Guosong, et al.
Published: (2024)

Probabilistic Forecasting for Dynamical Systems with Missing or Imperfect Data
by: Rout, Siddharth, et al.
Published: (2025)

Conservation-Based Feedback-Circuit Decomposition for Linear Forced Systems
by: Cai, Ming
Published: (2026)

Optimized Dynamic Mode Decomposition for Reconstruction and Forecasting of Atmospheric Chemistry Data
by: Velegar, Meghana, et al.
Published: (2024)

POD-Galerkin Reduced Order Modeling of the El Nino-Southern Oscillation (ENSO)
by: Aydogdu, Yusuf, et al.
Published: (2025)

Rapid estimation of global sea surface temperatures from sparse streaming in situ observations
by: All, Cassidy, et al.
Published: (2026)

Detecting extreme event-driven causality
by: Yu, Siyang, et al.
Published: (2025)

A competitive baseline for deep learning enhanced data assimilation using conditional Gaussian ensemble Kalman filtering
by: Malik, Zachariah, et al.
Published: (2024)

Fuxi-DA: A Generalized Deep Learning Data Assimilation Framework for Assimilating Satellite Observations
by: Xu, Xiaoze, et al.
Published: (2024)

Joint Parameter and Parameterization Inference with Uncertainty Quantification through Differentiable Programming
by: Qu, Yongquan, et al.
Published: (2024)

A probabilistic framework for learning non-intrusive corrections to long-time climate simulations from short-time training data
by: Sorensen, Benedikt Barthel, et al.
Published: (2024)