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Implicit equal‐weights particle filter

Quarterly journal of the Royal Meteorological Society, 2016-07, Vol.142 (698), p.1904-1919

2016

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Using the (Iterative) Ensemble Kalman Smoother to Estimate the Time Correlation in Model Error

Tellus. Series A, Dynamic meteorology and oceanography, 2023-02, Vol.75 (1), p.108-128

2023

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Ensemble transform Kalman–Bucy filters

Quarterly journal of the Royal Meteorological Society, 2014-04, Vol.140 (680), p.995-1004

2014

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A weak-constraint 4DEnsembleVar. Part I: formulation and simple model experiments

Tellus. Series A, Dynamic meteorology and oceanography, 2017-01, Vol.69 (1), p.1271564

2017

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Gaussian anamorphosis in the analysis step of the EnKF: a joint state-variable/observation approach

Tellus. Series A, Dynamic meteorology and oceanography, 2014-01, Vol.66 (1), p.23493-18

2014

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A weak-constraint 4DEnsembleVar. Part II: experiments with larger models

Tellus. Series A, Dynamic meteorology and oceanography, 2017-01, Vol.69 (1), p.1271565

2017

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Comparing hybrid data assimilation methods on the Lorenz 1963 model with increasing non-linearity

Tellus. Series A, Dynamic meteorology and oceanography, 2015-01, Vol.67 (1), p.26928-13

2015

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Assimilating atmospheric infrasound data to constrain atmospheric winds in a two‐dimensional grid

Quarterly journal of the Royal Meteorological Society, 2021-10, Vol.147 (740), p.3530-3554

2021

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The Effects of the RAW Filter on the Climatology and Forecast Skill of the SPEEDY Model

Monthly weather review, 2011-02, Vol.139 (2), p.608-619

2011

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An international initiative of predicting the SARS-CoV-2 pandemic using ensemble data assimilation

Foundations of data science, 2021-09, Vol.3 (3), p.413

2021

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Ensemble clustering in deterministic ensemble Kalman filters

Tellus. Series A, Dynamic meteorology and oceanography, 2012-12, Vol.64 (1), p.18039-12

2012

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Supervised machine learning to estimate instabilities in chaotic systems: Estimation of local Lyapunov exponents

Quarterly journal of the Royal Meteorological Society, 2023-04, Vol.149 (753), p.1236-1262

2023

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Molecular Characterization of New FBXL4 Mutations in Patients With mtDNA Depletion Syndrome

Frontiers in genetics, 2020-01, Vol.10, p.1300-1300

2020

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Time‐correlated model error in the (ensemble) Kalman smoother

Quarterly journal of the Royal Meteorological Society, 2018-10, Vol.144 (717), p.2650-2665

2018

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Using Satellite Data Assimilation Techniques to Combine Infrasound Observations and a Full Ray-Tracing Model to Constrain Stratospheric Variables

Monthly weather review, 2024-08, Vol.152 (8), p.1883-1902

2024

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Variable-Dependent and Selective Multivariate Localization for Ensemble–Variational Data Assimilation in the Tropics

Monthly weather review, 2024-04, Vol.152 (4), p.1097-1118

2024

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Improving soil moisture prediction of a high-resolution land surface model by parameterising pedotransfer functions through assimilation of SMAP satellite data

Hydrology and earth system sciences, 2021-03, Vol.25 (3), p.1617-1641

2021

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Reconstruction of gusty wind speed time series from autonomous data logger records

Wind and Structures An International Journal, 2011-07, Vol.14 (4), p.337-357

2011

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A revised implicit equal‐weights particle filter

Quarterly journal of the Royal Meteorological Society, 2019-04, Vol.145 (721), p.1490-1502

2019

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Hybrid ensemble-variational data assimilation in ABC-DA within a tropical framework

Geoscientific Model Development, 2022-08, Vol.15 (15), p.6197-6219

2022

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Effects of mis‐specified time‐correlated model error in the (ensemble) Kalman Smoother

Quarterly journal of the Royal Meteorological Society, 2021-01, Vol.147 (734), p.573-588

2021

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Assimilation of atmospheric infrasound data to constrain tropospheric and stratospheric winds

Quarterly journal of the Royal Meteorological Society, 2020-07, Vol.146 (731), p.2634-2653

2020

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The composite‐tendency Robert–Asselin–Williams (RAW) filter in semi‐implicit integrations

Quarterly journal of the Royal Meteorological Society, 2015-04, Vol.141 (688), p.764-773

2015

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Validation of three new measure-correlate-predict models for the long-term prospection of the wind resource

Journal of renewable and sustainable energy, 2011-03, Vol.3 (2)

2011

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A novel approach to statistical‐dynamical downscaling for long‐term wind resource predictions

Meteorological applications, 2018-04, Vol.25 (2), p.171-183

2018

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Implicit equal‐weights particle filter

Using the (Iterative) Ensemble Kalman Smoother to Estimate the Time Correlation in Model Error

Ensemble transform Kalman–Bucy filters

A weak-constraint 4DEnsembleVar. Part I: formulation and simple model experiments

Gaussian anamorphosis in the analysis step of the EnKF: a joint state-variable/observation approach

A weak-constraint 4DEnsembleVar. Part II: experiments with larger models

Comparing hybrid data assimilation methods on the Lorenz 1963 model with increasing non-linearity

Assimilating atmospheric infrasound data to constrain atmospheric winds in a two‐dimensional grid

The Effects of the RAW Filter on the Climatology and Forecast Skill of the SPEEDY Model

An international initiative of predicting the SARS-CoV-2 pandemic using ensemble data assimilation

Ensemble clustering in deterministic ensemble Kalman filters

Supervised machine learning to estimate instabilities in chaotic systems: Estimation of local Lyapunov exponents

Molecular Characterization of New FBXL4 Mutations in Patients With mtDNA Depletion Syndrome

Time‐correlated model error in the (ensemble) Kalman smoother

Using Satellite Data Assimilation Techniques to Combine Infrasound Observations and a Full Ray-Tracing Model to Constrain Stratospheric Variables

Variable-Dependent and Selective Multivariate Localization for Ensemble–Variational Data Assimilation in the Tropics

Improving soil moisture prediction of a high-resolution land surface model by parameterising pedotransfer functions through assimilation of SMAP satellite data

Reconstruction of gusty wind speed time series from autonomous data logger records

A revised implicit equal‐weights particle filter

Hybrid ensemble-variational data assimilation in ABC-DA within a tropical framework

Effects of mis‐specified time‐correlated model error in the (ensemble) Kalman Smoother

Assimilation of atmospheric infrasound data to constrain tropospheric and stratospheric winds

The composite‐tendency Robert–Asselin–Williams (RAW) filter in semi‐implicit integrations

Validation of three new measure-correlate-predict models for the long-term prospection of the wind resource

A novel approach to statistical‐dynamical downscaling for long‐term wind resource predictions

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