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Convergent least-squares optimisation methods for variational data assimilation. 2024-07-27

URI: https://centaur.reading.ac.uk/117515/

Assessment of short‐range forecast error atmosphere–ocean cross‐correlations from the Met Office coupled numerical weather prediction system. 2024-07

DOI: https://doi.org/10.1002/qj.4735 ISSN: https://portal.issn.org/resource/ISSN/0035-9009 ISSN: https://portal.issn.org/resource/ISSN/1477-870X

Conditioning of hybrid variational data assimilation. 2024-03

DOI: https://doi.org/10.1002/nla.2534 ISSN: https://portal.issn.org/resource/ISSN/1070-5325 ISSN: https://portal.issn.org/resource/ISSN/1099-1506

Assessment of short-range forecast error atmosphere-ocean cross-correlations from the Met Office coupled numerical weather prediction system. 2024

URI: https://centaur.reading.ac.uk/115996/

The effective use of anchor observations in variational bias correction in the presence of model bias. 2023-07

DOI: https://doi.org/10.1002/qj.4482 ISSN: https://portal.issn.org/resource/ISSN/0035-9009 ISSN: https://portal.issn.org/resource/ISSN/1477-870X

The impact of hybrid oceanic data assimilation in a coupled model: A case study of a tropical cyclone. 2022-07

DOI: https://doi.org/10.1002/qj.4309 ISSN: https://portal.issn.org/resource/ISSN/0035-9009 ISSN: https://portal.issn.org/resource/ISSN/1477-870X

New bounds on the condition number of the Hessian of the preconditioned variational data assimilation problem. 2022-01

DOI: https://doi.org/10.1002/nla.2405 ISSN: https://portal.issn.org/resource/ISSN/1070-5325 ISSN: https://portal.issn.org/resource/ISSN/1099-1506

On time‐parallel preconditioning for the state formulation of incremental weak constraint 4D‐Var. 2021-10

DOI: https://doi.org/10.1002/qj.4140 ISSN: https://portal.issn.org/resource/ISSN/0035-9009 ISSN: https://portal.issn.org/resource/ISSN/1477-870X

Randomised preconditioning for the forcing formulation of weak‐constraint 4D‐Var. 2021-10

DOI: https://doi.org/10.1002/qj.4151 ISSN: https://portal.issn.org/resource/ISSN/0035-9009 ISSN: https://portal.issn.org/resource/ISSN/1477-870X

Nonlinear Conditional Model Bias Estimation for Data Assimilation. 2021-01

DOI: https://doi.org/10.1137/19m1294848 ISSN: https://portal.issn.org/resource/ISSN/1536-0040

Spectral estimates for saddle point matrices arising in weak constraint four‐dimensional variational data assimilation. 2020-06-29

DOI: https://doi.org/10.1002/nla.2313 ISSN: https://portal.issn.org/resource/ISSN/1070-5325 ISSN: https://portal.issn.org/resource/ISSN/1099-1506

Improving the condition number of estimated covariance matrices. 2020

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Quantifying the latitudinal representivity of in situ solar wind observations. 2020

DOI: https://doi.org/10.1051/swsc/2020009 ISSN: https://portal.issn.org/resource/ISSN/2115-7251

The Land Variational Ensemble Data Assimilation Framework: LAVENDAR v1.0.0. 2020

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The impact of using reconditioned correlated observation-error covariance matrices in the Met Office 1D-Var system. 2020

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The role of cross-domain error correlations in strongly coupled 4D-Var atmosphere–ocean data assimilation. 2020

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Parameter estimation for a morphochemical reaction-diffusion model of electrochemical pattern formation. 2019

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Nonlinear bias correction for satellite data assimilation using taylor series polynomials. 2018

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The conditioning of least-squares problems in variational data assimilation. 2018

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Treating Sample Covariances for Use in Strongly Coupled Atmosphere-Ocean Data Assimilation. 2018

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Estimating forecast error covariances for strongly coupled atmosphere-ocean 4D-var data assimilation. 2017

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Investigating the role of prior and observation error correlations in improving a model forecast of forest carbon balance using Four-dimensional Variational data assimilation. 2016-11-15

DOI: http://dx.doi.org/10.1016/j.agrformet.2016.07.006

An idealized study of coupled atmosphere-ocean 4D-Var in the presence of model error. 2016-09-28

DOI: http://dx.doi.org/10.1175/MWR-D-15-0420.1

Exploring strategies for coupled 4D-Var data assimilation using an idealised atmosphere-ocean model. 2015

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Estimating correlated observation error statistics using an ensemble transform Kalman filter. 2014

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Representativity error for temperature and humidity using the Met Office high-resolution model. 2014

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Data assimilation for state and parameter estimation: Application to morphodynamic modelling. 2013

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Integration of a 3D variational data assimilation scheme with a coastal area morphodynamic model of Morecambe Bay. 2012

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Conditioning and preconditioning of the variational data assimilation problem. 2011

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Conditioning of incremental variational data assimilation, with application to the Met Office system. 2011

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Correlations of control variables in variational data assimilation. 2011

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Four-dimensional variational data assimilation for high resolution nested models. 2011

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State estimation using model order reduction for unstable systems. 2011

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State estimation using the particle filter with mode tracking. 2011

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A note on the analysis error associated with 3D-FGAT. 2010

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Data assimilation for morphodynamic prediction and predictability. 2009

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Approximate Gauss-Newton methods for optimal state estimation using reduced-order models. 2008

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Modelling of forecast errors in geophysical fluid flows. 2008

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Using model reduction methods within incremental four-dimensional variational data assimilation. 2008

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Approximate Gauss-newton methods for nonlinear least squares problems. 2007

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Inner-loop stopping criteria for incremental four-dimensional variational data assimilation. 2006

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An investigation of incremental 4D-Var using non-tangent linear models. 2005

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Approximate iterative methods for variational data assimilation. 2005

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Variational data assimilation for Hamiltonian problems. 2005

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A comparison of two methods for developing the linearization of a shallow-water model. 2003

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