Variational Data Assimilation with a Learned Inverse Observation Operator

22 February 2021

Papers citing "Variational Data Assimilation with a Learned Inverse Observation Operator"

8 / 8 papers shown

Title
Recurrent Neural Networks and Universal Approximation of Bayesian Filters A. Bishop Edwin V. Bonilla BDL 23 3 0 01 Nov 2022
Towards Multi-spatiotemporal-scale Generalized PDE Modeling Jayesh K. Gupta Johannes Brandstetter AI4CE 55 118 0 30 Sep 2022
Forecasting Global Weather with Graph Neural Networks R. Keisler AI4Cl 33 166 0 15 Feb 2022
Learning to Assimilate in Chaotic Dynamical Systems Michael McCabe Jed Brown AI4TS 30 10 0 01 Nov 2021
Physics-Integrated Variational Autoencoders for Robust and Interpretable Generative Modeling Naoya Takeishi Alexandros Kalousis DRL AI4CE 30 54 0 25 Feb 2021
Attention-based Convolutional Autoencoders for 3D-Variational Data Assimilation Julian Mack Rossella Arcucci Miguel Molina-Solana Yi-Ke Guo 3DPC 48 34 0 06 Jan 2021
MeshfreeFlowNet: A Physics-Constrained Deep Continuous Space-Time Super-Resolution Framework C. Jiang S. Esmaeilzadeh Kamyar Azizzadenesheli K. Kashinath Mustafa A. Mustafa H. Tchelepi P. Marcus P. Prabhat Anima Anandkumar AI4CE 187 141 0 01 May 2020
MetNet: A Neural Weather Model for Precipitation Forecasting C. Sønderby L. Espeholt Jonathan Heek Mostafa Dehghani Avital Oliver Tim Salimans Shreya Agrawal Jason Hickey Nal Kalchbrenner AI4Cl 228 273 0 24 Mar 2020