Interpretable structural model error discovery from sparse assimilation increments using spectral bias-reduced neural networks: A quasi-geostrophic turbulence test case

22 September 2023

Papers citing "Interpretable structural model error discovery from sparse assimilation increments using spectral bias-reduced neural networks: A quasi-geostrophic turbulence test case"

10 / 10 papers shown

Title
Learning Closed-form Equations for Subgrid-scale Closures from High-fidelity Data: Promises and Challenges Karan Jakhar Yifei Guan R. Mojgani Ashesh Chattopadhyay Pedram Hassanzadeh AI4Cl AI4CE 50 15 0 08 Jun 2023
Physics-Informed CNNs for Super-Resolution of Sparse Observations on Dynamical Systems Daniel Kelshaw Georgios Rigas Luca Magri AI4CE 42 17 0 31 Oct 2022
Deep learning-enhanced ensemble-based data assimilation for high-dimensional nonlinear dynamical systems Ashesh Chattopadhyay Ebrahim Nabizadeh Eviatar Bach Pedram Hassanzadeh AI4CE 48 20 0 09 Jun 2022
Discovery of interpretable structural model errors by combining Bayesian sparse regression and data assimilation: A chaotic Kuramoto-Sivashinsky test case R. Mojgani Ashesh Chattopadhyay Pedram Hassanzadeh 60 16 0 01 Oct 2021
Global field reconstruction from sparse sensors with Voronoi tessellation-assisted deep learning Kai Fukami R. Maulik Nesar Ramachandra K. Fukagata Kunihiko Taira 75 146 0 03 Jan 2021
Calibration and Uncertainty Quantification of Convective Parameters in an Idealized GCM Oliver R. A. Dunbar A. Garbuno-Iñigo T. Schneider Andrew M. Stuart 49 59 0 24 Dec 2020
Using machine learning to correct model error in data assimilation and forecast applications A. Farchi P. Laloyaux Massimo Bonavita Marc Bocquet AI4CE 48 105 0 23 Oct 2020
Automatic Differentiation to Simultaneously Identify Nonlinear Dynamics and Extract Noise Probability Distributions from Data Kadierdan Kaheman Steven L. Brunton J. Nathan Kutz 29 83 0 12 Sep 2020
Physics-informed learning of governing equations from scarce data Zhao Chen Yang Liu Hao Sun PINN AI4CE 27 385 0 05 May 2020
On the Spectral Bias of Neural Networks Nasim Rahaman A. Baratin Devansh Arpit Felix Dräxler Min Lin Fred Hamprecht Yoshua Bengio Aaron Courville 94 1,408 0 22 Jun 2018