Integrating Recurrent Neural Networks with Data Assimilation for
Scalable Data-Driven State Estimation

Integrating Recurrent Neural Networks with Data Assimilation for Scalable Data-Driven State Estimation

25 September 2021

Papers citing "Integrating Recurrent Neural Networks with Data Assimilation for Scalable Data-Driven State Estimation"

15 / 15 papers shown

Title
Probabilistic Emulation of the Community Radiative Transfer Model Using Machine Learning Lucas Howard Aneesh C. Subramanian Gregory Thompson Benjamin Johnson Thomas Auligne 27 0 0 22 Apr 2025
TorchDA: A Python package for performing data assimilation with deep learning forward and transformation functions Sibo Cheng Jinyang Min Che Liu Rossella Arcucci AI4CE 18 0 0 30 Aug 2024
4D-Var using Hessian approximation and backpropagation applied to automatically-differentiable numerical and machine learning models Kylen Solvik Stephen G. Penny Stephan Hoyer 21 2 0 05 Aug 2024
State-observation augmented diffusion model for nonlinear assimilation with unknown dynamics Zhuoyuan Li Bin Dong Linyue Chu 36 0 0 31 Jul 2024
FNP: Fourier Neural Processes for Arbitrary-Resolution Data Assimilation Kun Chen Tao Chen Peng Ye Hao Chen Kang Chen Tao Han Wanli Ouyang Lei Bai 30 1 0 03 Jun 2024
U-Net Kalman Filter (UNetKF): An Example of Machine Learning-assisted Ensemble Data Assimilation Feiyu Lu 16 0 0 19 Mar 2024
Towards an end-to-end artificial intelligence driven global weather forecasting system Kun Chen Lei Bai Fenghua Ling Peng Ye Tao Chen ... Hao Chen Yi Xiao Kang Chen Tao Han Wanli Ouyang AI4Cl 21 16 0 18 Dec 2023
Latent assimilation with implicit neural representations for unknown dynamics Zhuoyuan Li Bin Dong Pingwen Zhang AI4CE 24 3 0 18 Sep 2023
Temporal Subsampling Diminishes Small Spatial Scales in Recurrent Neural Network Emulators of Geophysical Turbulence T. A. Smith S. Penny Jason A. Platt Tse-Chun Chen 22 5 0 28 Apr 2023
Constraining Chaos: Enforcing dynamical invariants in the training of recurrent neural networks Jason A. Platt S. Penny T. A. Smith Tse-Chun Chen H. Abarbanel AI4TS 36 5 0 24 Apr 2023
Deep learning-enhanced ensemble-based data assimilation for high-dimensional nonlinear dynamical systems A. Chattopadhyay Ebrahim Nabizadeh Eviatar Bach P. Hassanzadeh AI4CE 27 20 0 09 Jun 2022
A Systematic Exploration of Reservoir Computing for Forecasting Complex Spatiotemporal Dynamics Jason A. Platt S. Penny T. A. Smith Tse-Chun Chen H. Abarbanel AI4TS 38 32 0 21 Jan 2022
`Next Generation' Reservoir Computing: an Empirical Data-Driven Expression of Dynamical Equations in Time-Stepping Form Tse-Chun Chen S. Penny T. A. Smith Jason A. Platt 58 1 0 13 Jan 2022
Forecasting Using Reservoir Computing: The Role of Generalized Synchronization Jason A. Platt Adrian S. Wong Randall Clark S. Penny H. Abarbanel AI4TS 20 4 0 04 Feb 2021
Data Assimilation Networks Pierre Boudier Anthony Fillion Serge Gratton S. Gürol Sixin Zhang AI4CE 22 10 0 19 Oct 2020