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Adaptive error covariances estimation methods for ensemble Kalman filters

https://doi.org/10.1016/j.jcp.2015.03.061
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What this work says

Outgoing claims: the papers this work cites, builds on, or argues with.

inferredcites →https://doi.org/10.1002/qj.169openalex-snapshot
Flow‐adaptive moderation of spurious ensemble correlations and its use in ensemble‐based data assimilation
inferredcites →https://doi.org/10.1002/qj.371openalex-snapshot
Simultaneous estimation of covariance inflation and observation errors within an ensemble Kalman filter
inferredcites →https://doi.org/10.1002/qj.49712454512openalex-snapshot
Data assimilation in the presence of forecast bias
inferredcites →https://doi.org/10.1002/qj.49712555417openalex-snapshot
Construction of correlation functions in two and three dimensions
inferredcites →https://doi.org/10.1007/s00376-009-0001-8openalex-snapshot
Coupling ensemble Kalman filter with four-dimensional variational data assimilation
inferredcites →https://doi.org/10.1016/0005-1098(74)90037-5openalex-snapshot
Estimation of noise covariance matrices for a linear time-varying stochastic process
inferredcites →https://doi.org/10.1016/j.automatica.2005.09.006openalex-snapshot
A new autocovariance least-squares method for estimating noise covariances
inferredcites →https://doi.org/10.1016/j.jcp.2013.10.025openalex-snapshot
An ensemble Kalman filter for statistical estimation of physics constrained nonlinear regression models
inferredcites →https://doi.org/10.1016/j.physd.2006.11.008openalex-snapshot
Efficient data assimilation for spatiotemporal chaos: A local ensemble transform Kalman filter
inferredcites →https://doi.org/10.1017/cbo9780511616778openalex-snapshot
Non-linear dynamics and statistical theories for basic geophysical flows
inferredcites →https://doi.org/10.1017/cbo9780511617652.004openalex-snapshot
Predictability – a problem partly solved
inferredcites →https://doi.org/10.1017/s002211208700034xopenalex-snapshot
Nonlinear stability and statistical mechanics of flow over topography
inferredcites →https://doi.org/10.1029/93ja02082openalex-snapshot
Vortex laws and field line invariants in polytropic field‐aligned MHD flow
inferredcites →https://doi.org/10.1029/94jc00572openalex-snapshot
Sequential data assimilation with a nonlinear quasi‐geostrophic model using Monte Carlo methods to forecast error statistics
inferredcites →https://doi.org/10.1098/rspa.2014.0168openalex-snapshot
Linear theory for filtering nonlinear multiscale systems with model error
inferredcites →https://doi.org/10.1109/tac.1970.1099422openalex-snapshot
On the identification of variances and adaptive Kalman filtering
inferredcites →https://doi.org/10.1109/tac.1972.1100100openalex-snapshot
Approaches to adaptive filtering
inferredcites →https://doi.org/10.1109/tac.1985.1103837openalex-snapshot
An efficient algorithm for estimating noise covariances in distributed systems
inferredcites →https://doi.org/10.1111/j.1600-0870.2004.00076.xopenalex-snapshot
A local ensemble Kalman filter for atmospheric data assimilation
inferredcites →https://doi.org/10.1111/j.1600-0870.2006.00216.xopenalex-snapshot
An adaptive covariance inflation error correction algorithm for ensemble filters
inferredcites →https://doi.org/10.1115/1.3658902openalex-snapshot
New Results in Linear Filtering and Prediction Theory
inferredcites →https://doi.org/10.1175/1520-0493(1999)127<2741:amciot>2.0.co;2openalex-snapshot
A Monte Carlo Implementation of the Nonlinear Filtering Problem to Produce Ensemble Assimilations and Forecasts
inferredcites →https://doi.org/10.1175/1520-0493(2001)129<0420:aswtet>2.0.co;2openalex-snapshot
Adaptive Sampling with the Ensemble Transform Kalman Filter. Part I: Theoretical Aspects
inferredcites →https://doi.org/10.1175/2007mwr2018.1openalex-snapshot
Ensemble Data Assimilation with the NCEP Global Forecast System
inferredcites →https://doi.org/10.1175/mwr-d-11-00013.1openalex-snapshot
Localization and Sampling Error Correction in Ensemble Kalman Filter Data Assimilation
inferredcites →https://doi.org/10.1175/mwr-d-11-00257.1openalex-snapshot
Evaluating Data Assimilation Algorithms
inferredcites →https://doi.org/10.1175/mwr-d-13-00138.1openalex-snapshot
Higher Resolution in an Operational Ensemble Kalman Filter
inferredcites →https://doi.org/10.1175/mwr-d-13-00152.1openalex-snapshot
Comparisons of Empirical Localization Techniques for Serial Ensemble Kalman Filters in a Simple Atmospheric General Circulation Model
inferredcites →https://doi.org/10.1175/mwr-d-13-00390.1openalex-snapshot
A Probabilistic Approach to Adaptive Covariance Localization for Serial Ensemble Square Root Filters
inferredcites →https://doi.org/10.3402/tellusa.v56i5.14462openalex-snapshot
A local ensemble Kalman filter for atmospheric data assimilation
inferredcites →https://doi.org/10.3402/tellusa.v65i0.20331openalex-snapshot
Adaptive ensemble Kalman filtering of non-linear systems
inferredcites →https://doi.org/10.3402/tellusa.v67.25257openalex-snapshot
Towards a theory of optimal localisation

What points at this work

Incoming claims: where this work appears in other papers’ reference lists and arguments.

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An Improved Ensemble-Based Data Assimilation Method with Adaptive Observation Error Adjustment for Wildland Fire Spread Prediction
inferred← citeshttps://doi.org/10.1002/acs.2783openalex-snapshot
Noise covariance matrices in state‐space models: A survey and comparison of estimation methods—Part I
inferred← citeshttps://doi.org/10.1007/978-3-030-77722-7_8openalex-snapshot
Statistical Parameter Estimation for Observation Error Modelling: Application to Meteor Radars
inferred← citeshttps://doi.org/10.1007/978-981-19-6613-2_374openalex-snapshot
Adaptive Estimation of Measurement Noise Variance in Kinematic Precise Point Positioning
inferred← citeshttps://doi.org/10.1007/s40314-017-0515-0openalex-snapshot
A state estimation approach based on stochastic expansions
inferred← citeshttps://doi.org/10.1016/j.firesaf.2024.104230openalex-snapshot
Experimental and numerical study on data-driven prediction for wildfire spread incorporating adaptive observation error adjustment
inferred← citeshttps://doi.org/10.1016/j.jcp.2015.12.043openalex-snapshot
Semiparametric modeling: Correcting low-dimensional model error in parametric models
inferred← citeshttps://doi.org/10.1016/j.srs.2024.100146openalex-snapshot
Progress and perspectives in data assimilation algorithms for remote sensing and crop growth model
inferred← citeshttps://doi.org/10.1017/9781108562461openalex-snapshot
Data-Driven Computational Methods: Parameter and Operator Estimations
inferred← citeshttps://doi.org/10.1017/9781316339251.011openalex-snapshot
Model Error in Data Assimilation
inferred← citeshttps://doi.org/10.1049/iet-rsn.2016.0343openalex-snapshot
PIAPF for manoeuvring target tracking in the presence of multiplicative noise
inferred← citeshttps://doi.org/10.1098/rsta.2021.0205openalex-snapshot
Machine learning-based statistical closure models for turbulent dynamical systems
inferred← citeshttps://doi.org/10.1103/physreve.91.053306openalex-snapshot
Parametric reduced models for the nonlinear Schrödinger equation
inferred← citeshttps://doi.org/10.1109/tcst.2016.2628716openalex-snapshot
A Prediction-Error Covariance Estimator for Adaptive Kalman Filtering in Step-Varying Processes: Application to Power-System State Estimation
inferred← citeshttps://doi.org/10.1175/mwr-d-19-0240.1openalex-snapshot
A Review of Innovation-Based Methods to Jointly Estimate Model and Observation Error Covariance Matrices in Ensemble Data Assimilation
inferred← citeshttps://doi.org/10.21203/rs.3.rs-10012087/v1openalex-snapshot
Full-Field State Estimation from Sparse Point Sensors via Adaptive Data-Driven Modeling and Sequential Data Assimilation for Nonlinear Dynamical Systems
inferred← citeshttps://doi.org/10.3390/jmse11050970openalex-snapshot
Optimal Route Generation and Route-Following Control for Autonomous Vessel
inferred← citeshttps://doi.org/10.48550/arxiv.1910.04247openalex-snapshot
Improving the Convergence of the Iterative Ensemble Kalman Filter by Resampling
inferred← citeshttps://doi.org/10.5194/npg-30-237-2023openalex-snapshot
Physically constrained covariance inflation from location uncertainty
inferred← citeshttps://doi.org/10.70675/e078bddez129fz43dcz9da4z908bd133b8bcopenalex-snapshot
Non-parametric methodologies for reconstruction and estimation in nonlinear state-space models
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