Bayesian estimation of the observation-error covariance matrix in ensemble-based filters

A statistical overview and perspectives on data assimilation for marine biogeochemical models

(2014) Michael Dowd et al.   ENVIRONMETRICS

Estimation of the caesium-137 source term from the Fukushima Daiichi nuclear power plant using a consistent joint assimilation of air concentration and deposition observations

(2013) Victor Winiarek et al.   ATMOSPHERIC ENVIRONMENT

Iterative algorithm for maximum-likelihood estimation of the observation-error covariance matrix for ensemble-based filters

(2013) Genta Ueno et al.   QUARTERLY JOURNAL OF THE ROYAL METEOROLOGICAL SOCIETY

Estimation of errors in the inverse modeling of accidental release of atmospheric pollutant: Application to the reconstruction of the cesium-137 and iodine-131 source terms from the Fukushima Daiichi power plant

(2012) Victor Winiarek et al.   JOURNAL OF GEOPHYSICAL RESEARCH

Data Assimilation with Gaussian Mixture Models Using the Dynamically Orthogonal Field Equations. Part I: Theory and Scheme

(2012) Thomas Sondergaard et al.   MONTHLY WEATHER REVIEW

Data Assimilation with Gaussian Mixture Models Using the Dynamically Orthogonal Field Equations. Part II: Applications

(2012) Thomas Sondergaard et al.   MONTHLY WEATHER REVIEW

Implicit Particle Methods and Their Connection with Variational Data Assimilation

(2012) Ethan Atkins et al.   MONTHLY WEATHER REVIEW

An exploration of the equivalent weights particle filter

(2012) M. Ades et al.   QUARTERLY JOURNAL OF THE ROYAL METEOROLOGICAL SOCIETY

Variational data assimilation using targetted random walks

(2011) S. L. Cotter et al.   INTERNATIONAL JOURNAL FOR NUMERICAL METHODS IN FLUIDS

Sequential State and Observation Noise Covariance Estimation Using Combined Ensemble Kalman and Particle Filters

(2011) Marco Frei et al.   MONTHLY WEATHER REVIEW

Beyond Gaussian Statistical Modeling in Geophysical Data Assimilation

(2010) Marc Bocquet et al.   MONTHLY WEATHER REVIEW

The Gaussian Approach to Adaptive Covariance Inflation and Its Implementation with the Local Ensemble Transform Kalman Filter

(2010) Takemasa Miyoshi   MONTHLY WEATHER REVIEW

Diagnosis and impacts of non-Gaussianity of innovations in data assimilation

(2010) Carlos A. Pires et al.   PHYSICA D-NONLINEAR PHENOMENA

Nonlinear data assimilation in geosciences: an extremely efficient particle filter

(2010) P. J. van Leeuwen   QUARTERLY JOURNAL OF THE ROYAL METEOROLOGICAL SOCIETY

Maximum likelihood estimation of error covariances in ensemble-based filters and its application to a coupled atmosphere-ocean model

(2010) Genta Ueno et al.   QUARTERLY JOURNAL OF THE ROYAL METEOROLOGICAL SOCIETY

Ensemble hindcasts of ENSO events over the past 120 years using a large number of ensembles

(2009) Fei Zheng et al.   ADVANCES IN ATMOSPHERIC SCIENCES

The ensemble Kalman filter for combined state and parameter estimation

(2009)   IEEE CONTROL SYSTEMS MAGAZINE

Particle Filtering in Geophysical Systems

(2009) Peter Jan van Leeuwen   MONTHLY WEATHER REVIEW

Efficient Adaptive Error Parameterizations for Square Root or Ensemble Kalman Filters: Application to the Control of Ocean Mesoscale Signals

(2009) Jean-Michel Brankart et al.   MONTHLY WEATHER REVIEW

Implicit sampling for particle filters

(2009) A. J. Chorin et al.   PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA

Covariance regularization in inverse space

(2009) Genta Ueno et al.   QUARTERLY JOURNAL OF THE ROYAL METEOROLOGICAL SOCIETY

Simultaneous estimation of covariance inflation and observation errors within an ensemble Kalman filter

(2009) Hong Li et al.   QUARTERLY JOURNAL OF THE ROYAL METEOROLOGICAL SOCIETY

Data Assimilation for a Coupled Ocean–Atmosphere Model. Part II: Parameter Estimation

(2008) Dmitri Kondrashov et al.   MONTHLY WEATHER REVIEW

Unbiased ensemble square root filters

(2008) David M. Livings et al.   PHYSICA D-NONLINEAR PHENOMENA