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

Combining data assimilation and machine learning to infer unresolved scale parametrization

(2021) Julien Brajard et al.   PHILOSOPHICAL TRANSACTIONS OF THE ROYAL SOCIETY A-MATHEMATICAL PHYSICAL AND ENGINEERING SCIENCES

Combining machine learning with knowledge-based modeling for scalable forecasting and subgrid-scale closure of large, complex, spatiotemporal systems

(2020) Alexander Wikner et al.   CHAOS

Towards an unbiased stratospheric analysis

(2020) P. Laloyaux et al.   QUARTERLY JOURNAL OF THE ROYAL METEOROLOGICAL SOCIETY

Combining data assimilation and machine learning to emulate a dynamical model from sparse and noisy observations: A case study with the Lorenz 96 model

(2020) Julien Brajard et al.   Journal of Computational Science

Using Analysis Corrections to Address Model Error in Atmospheric Forecasts

(2020) William Crawford et al.   MONTHLY WEATHER REVIEW

Exploring the potential and limitations of weak‐constraint 4D‐Var

(2020) P. Laloyaux et al.   QUARTERLY JOURNAL OF THE ROYAL METEOROLOGICAL SOCIETY

Machine Learning for Model Error Inference and Correction

(2020) Massimo Bonavita et al.   Journal of Advances in Modeling Earth Systems

Applying Machine Learning to Improve Simulations of a Chaotic Dynamical System Using Empirical Error Correction

(2019) Peter A. G. Watson   Journal of Advances in Modeling Earth Systems

Convolutional autoencoder and conditional random fields hybrid for predicting spatial-temporal chaos

(2019) S. Herzog et al.   CHAOS

Hybrid forecasting of chaotic processes: Using machine learning in conjunction with a knowledge-based model

(2018) Jaideep Pathak et al.   CHAOS

Machine Learning: Deepest Learning as Statistical Data Assimilation Problems

(2018) Henry D. I. Abarbanel et al.   NEURAL COMPUTATION

Model-Free Prediction of Large Spatiotemporally Chaotic Systems from Data: A Reservoir Computing Approach

(2018) Jaideep Pathak et al.   PHYSICAL REVIEW LETTERS

An iterative ensemble Kalman filter in the presence of additive model error

(2018) Pavel Sakov et al.   QUARTERLY JOURNAL OF THE ROYAL METEOROLOGICAL SOCIETY

The Analog Data Assimilation

(2017) Redouane Lguensat et al.   MONTHLY WEATHER REVIEW

Parallelization in the time dimension of four-dimensional variational data assimilation

(2017) Michael Fisher et al.   QUARTERLY JOURNAL OF THE ROYAL METEOROLOGICAL SOCIETY

Deep learning

(2015) Yann LeCun et al.   NATURE

Accounting for model error due to unresolved scales within ensemble Kalman filtering

(2014) Lewis Mitchell et al.   QUARTERLY JOURNAL OF THE ROYAL METEOROLOGICAL SOCIETY

TREATMENT OF THE ERROR DUE TO UNRESOLVED SCALES IN SEQUENTIAL DATA ASSIMILATION

(2012) ALBERTO CARRASSI et al.   INTERNATIONAL JOURNAL OF BIFURCATION AND CHAOS

The ERA-Interim reanalysis: configuration and performance of the data assimilation system

(2011) D. P. Dee et al.   QUARTERLY JOURNAL OF THE ROYAL METEOROLOGICAL SOCIETY