Combining data assimilation and machine learning to infer unresolved scale parametrisation

9 September 2020

Papers citing "Combining data assimilation and machine learning to infer unresolved scale parametrisation"

31 / 31 papers shown

Title
Hybrid machine learning data assimilation for marine biogeochemistry Ieuan Higgs Ross Bannister Jozef Skákala Alberto Carrassi Stefano Ciavatta AI4Cl AI4CE 34 0 0 07 Apr 2025
Ensemble Kalman filter in latent space using a variational autoencoder pair I. Pasmans Yumeng Chen Tobias S. Finn Marc Bocquet A. Carrassi 50 0 0 18 Feb 2025
Ensemble Transport Filter via Optimized Maximum Mean Discrepancy Dengfei Zeng Lijian Jiang OT 26 1 0 16 Jul 2024
Deep Generative Data Assimilation in Multimodal Setting Yongquan Qu Juan Nathaniel Shuolin Li Pierre Gentine 3DGS 36 15 0 10 Apr 2024
Online model error correction with neural networks: application to the Integrated Forecasting System A. Farchi M. Chrust Marc Bocquet Massimo Bonavita 26 0 0 06 Mar 2024
Hybrid $^2$ Neural ODE Causal Modeling and an Application to Glycemic Response Bob Junyi Zou Matthew E. Levine D. Zaharieva Ramesh Johari Emily Fox 46 4 0 27 Feb 2024
AI enhanced data assimilation and uncertainty quantification applied to Geological Carbon Storage G. S. Seabra N. T. Mücke Vinicius Luiz Santos Silva Denis Voskov F. Vossepoel AI4CE 21 10 0 09 Feb 2024
Learning About Structural Errors in Models of Complex Dynamical Systems Jin-Long Wu Matthew E. Levine Tapio Schneider Andrew M. Stuart AI4CE 26 17 0 29 Dec 2023
AI Foundation Models for Weather and Climate: Applications, Design, and Implementation S. K. Mukkavilli Daniel Salles Civitarese J. Schmude Johannes Jakubik Anne Jones ... R. Ganti Hendrik Hamann U. Nair Rahul Ramachandran Kommy Weldemariam AI4Cl AI4CE 37 18 0 19 Sep 2023
Score-based Data Assimilation François Rozet Gilles Louppe 52 32 0 18 Jun 2023
Online machine-learning forecast uncertainty estimation for sequential data assimilation M. Sacco M. Pulido J. J. Ruiz P. Tandeo 14 3 0 12 May 2023
Digital Twins in Wind Energy: Emerging Technologies and Industry-Informed Future Directions Florian Stadtmann Adil Rasheed T. Kvamsdal K. Johannessen Omer San ... Håvard Paulshus Tore Rasmussen E. Rishoff Francesco Scibilia John Olav Skogås 38 32 0 16 Apr 2023
Machine learning with data assimilation and uncertainty quantification for dynamical systems: a review Sibo Cheng César Quilodrán-Casas Said Ouala A. Farchi Che Liu ... Weiping Ding Yike Guo A. Carrassi Marc Bocquet Rossella Arcucci AI4CE 37 124 0 18 Mar 2023
Online model error correction with neural networks in the incremental 4D-Var framework A. Farchi M. Chrust Marc Bocquet P. Laloyaux Massimo Bonavita 63 17 0 25 Oct 2022
Deep learning-enhanced ensemble-based data assimilation for high-dimensional nonlinear dynamical systems Ashesh Chattopadhyay Ebrahim Nabizadeh Eviatar Bach Pedram Hassanzadeh AI4CE 33 20 0 09 Jun 2022
Discrepancy Modeling Framework: Learning missing physics, modeling systematic residuals, and disambiguating between deterministic and random effects Megan R. Ebers K. Steele J. Nathan Kutz 42 15 0 10 Mar 2022
Machine learning for Earth System Science (ESS): A survey, status and future directions for South Asia Manmeet Singh B. Kumar R. Chattopadhyay K. Amarjyothi Anup K. Sutar Sukanta Roy Suryachandra A. Rao R. Nanjundiah AI4Cl 22 1 0 24 Dec 2021
Observation Error Covariance Specification in Dynamical Systems for Data assimilation using Recurrent Neural Networks Sibo Cheng Mingming Qiu 34 22 0 11 Nov 2021
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 29 15 0 01 Oct 2021
Super-resolution data assimilation Sébastien Barthélémy J. Brajard Laurent Bertino F. Counillon AI4Cl 19 26 0 04 Sep 2021
Combining machine learning and data assimilation to forecast dynamical systems from noisy partial observations Georg Gottwald Sebastian Reich AI4CE 46 37 0 08 Aug 2021
State, global and local parameter estimation using local ensemble Kalman filters: applications to online machine learning of chaotic dynamics Quentin Malartic A. Farchi Marc Bocquet 41 19 0 23 Jul 2021
A comparison of combined data assimilation and machine learning methods for offline and online model error correction A. Farchi Marc Bocquet P. Laloyaux Massimo Bonavita Quentin Malartic OffRL 31 35 0 23 Jul 2021
A Framework for Machine Learning of Model Error in Dynamical Systems Matthew E. Levine Andrew M. Stuart 32 67 0 14 Jul 2021
Bridging observation, theory and numerical simulation of the ocean using Machine Learning Maike Sonnewald Redouane Lguensat Daniel C. Jones P. Dueben J. Brajard Venkatramani Balaji AI4Cl AI4CE 51 100 0 26 Apr 2021
Towards physically consistent data-driven weather forecasting: Integrating data assimilation with equivariance-preserving deep spatial transformers Ashesh Chattopadhyay M. Mustafa Pedram Hassanzadeh Eviatar Bach K. Kashinath AI4CE 29 25 0 16 Mar 2021
Variational Data Assimilation with a Learned Inverse Observation Operator Thomas Frerix Dmitrii Kochkov Jamie A. Smith Daniel Cremers M. Brenner Stephan Hoyer 41 29 0 22 Feb 2021
Using machine learning to correct model error in data assimilation and forecast applications A. Farchi P. Laloyaux Massimo Bonavita Marc Bocquet AI4CE 28 101 0 23 Oct 2020
Supervised learning from noisy observations: Combining machine-learning techniques with data assimilation Georg Gottwald Sebastian Reich AI4CE 15 60 0 14 Jul 2020
Online learning of both state and dynamics using ensemble Kalman filters Marc Bocquet A. Farchi Quentin Malartic 25 27 0 06 Jun 2020
Dropout as a Bayesian Approximation: Representing Model Uncertainty in Deep Learning Y. Gal Zoubin Ghahramani UQCV BDL 289 9,167 0 06 Jun 2015