Using machine learning to correct model error in data assimilation and
forecast applications

Using machine learning to correct model error in data assimilation and forecast applications

23 October 2020

Massimo Bonavita

Papers citing "Using machine learning to correct model error in data assimilation and forecast applications"

11 / 11 papers shown

Title
Combining data assimilation and machine learning to infer unresolved scale parametrisation J. Brajard A. Carrassi Marc Bocquet Laurent Bertino 49 115 0 09 Sep 2020
Combining Machine Learning with Knowledge-Based Modeling for Scalable Forecasting and Subgrid-Scale Closure of Large, Complex, Spatiotemporal Systems Alexander Wikner Jaideep Pathak Brian Hunt M. Girvan T. Arcomano I. Szunyogh Andrew Pomerance Edward Ott AI4CE 92 71 0 10 Feb 2020
Bayesian inference of chaotic dynamics by merging data assimilation, machine learning and expectation-maximization Marc Bocquet J. Brajard A. Carrassi Laurent Bertino 48 104 0 17 Jan 2020
Combining data assimilation and machine learning to emulate a dynamical model from sparse and noisy observations: a case study with the Lorenz 96 model J. Brajard A. Carrassi Marc Bocquet Laurent Bertino 28 225 0 06 Jan 2020
Applying machine learning to improve simulations of a chaotic dynamical system using empirical error correction P. Watson AI4Cl AI4CE 41 65 0 24 Apr 2019
Physics Guided RNNs for Modeling Dynamical Systems: A Case Study in Simulating Lake Temperature Profiles X. Jia J. Willard Anuj Karpatne J. Read Jacob Aaron Zwart M. Steinbach Vipin Kumar PINN AI4CE 25 212 0 31 Oct 2018
Hybrid Forecasting of Chaotic Processes: Using Machine Learning in Conjunction with a Knowledge-Based Model Jaideep Pathak Alexander Wikner Rebeckah K. Fussell Sarthak Chandra Brian Hunt M. Girvan Edward Ott 38 287 0 09 Mar 2018
PDE-Net: Learning PDEs from Data Zichao Long Yiping Lu Xianzhong Ma Bin Dong DiffM AI4CE 36 754 0 26 Oct 2017
Machine Learning, Deepest Learning: Statistical Data Assimilation Problems H. Abarbanel P. Rozdeba S. Shirman PINN 50 72 0 05 Jul 2017
TensorFlow: A system for large-scale machine learning Martín Abadi P. Barham Jianmin Chen Zhiwen Chen Andy Davis ... Vijay Vasudevan Pete Warden Martin Wicke Yuan Yu Xiaoqiang Zhang GNN AI4CE 396 18,334 0 27 May 2016
Adam: A Method for Stochastic Optimization Diederik P. Kingma Jimmy Ba ODL 1.4K 149,842 0 22 Dec 2014