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Amos Lawless
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Approximate Gauss–Newton methods for nonlinear least squares problems
S Gratton, AS Lawless, NK Nichols
SIAM Journal on Optimization 18 (1), 106-132, 2007
3282007
An investigation of incremental 4D‐Var using non‐tangent linear models
AS Lawless, S Gratton, NK Nichols
Quarterly Journal of the Royal Meteorological Society: A journal of the …, 2005
1012005
Exploring strategies for coupled 4D-Var data assimilation using an idealised atmosphere–ocean model
PJ Smith, AM Fowler, AS Lawless
Tellus A: Dynamic Meteorology and Oceanography 67 (1), 27025, 2015
682015
Conditioning of incremental variational data assimilation, with application to the Met Office system
SA Haben, AS Lawless, NK Nichols
Tellus A: Dynamic Meteorology and Oceanography 63 (4), 782-792, 2011
682011
Representativity error for temperature and humidity using the Met Office high‐resolution model
JA Waller, SL Dance, AS Lawless, NK Nichols, JR Eyre
Quarterly Journal of the Royal Meteorological Society 140 (681), 1189-1197, 2014
662014
Approximate iterative methods for variational data assimilation
AS Lawless, S Gratton, NK Nichols
International journal for numerical methods in fluids 47 (10‐11), 1129-1135, 2005
612005
Data assimilation for state and parameter estimation: application to morphodynamic modelling
PJ Smith, GD Thornhill, SL Dance, AS Lawless, DC Mason, NK Nichols
Quarterly Journal of the Royal Meteorological Society 139 (671), 314-327, 2013
602013
Conditioning and preconditioning of the variational data assimilation problem
SA Haben, AS Lawless, NK Nichols
Computers & Fluids 46 (1), 252-256, 2011
542011
A comparison of two methods for developing the linearization of a shallow‐water model
AS Lawless, NK Nichols, SP Ballard
Quarterly Journal of the Royal Meteorological Society: A journal of the …, 2003
472003
Estimating correlated observation error statistics using an ensemble transform Kalman filter
JA Waller, SL Dance, AS Lawless, NK Nichols
Tellus A: Dynamic Meteorology and Oceanography 66 (1), 23294, 2014
442014
Using model reduction methods within incremental four-dimensional variational data assimilation
AS Lawless, NK Nichols, C Boess, A Bunse-Gerstner
Monthly Weather Review 136 (4), 1511-1522, 2008
442008
Nonlinear bias correction for satellite data assimilation using Taylor series polynomials
JA Otkin, R Potthast, AS Lawless
Monthly Weather Review 146 (1), 263-285, 2018
432018
Parameter estimation for a morphochemical reaction-diffusion model of electrochemical pattern formation
I Sgura, AS Lawless, B Bozzini
Inverse Problems in Science and Engineering 27 (5), 618-647, 2019
392019
Investigating the role of prior and observation error correlations in improving a model forecast of forest carbon balance using Four-dimensional Variational data assimilation
EM Pinnington, E Casella, SL Dance, AS Lawless, JIL Morison, ...
Agricultural and Forest Meteorology 228, 299-314, 2016
362016
Estimating forecast error covariances for strongly coupled atmosphere–ocean 4D-Var data assimilation
PJ Smith, AS Lawless, NK Nichols
Monthly Weather Review 145 (10), 4011-4035, 2017
332017
The conditioning of least‐squares problems in variational data assimilation
JM Tabeart, SL Dance, SA Haben, AS Lawless, NK Nichols, JA Waller
Numerical Linear Algebra with Applications 25 (5), e2165, 2018
322018
Inner-loop stopping criteria for incremental four-dimensional variational data assimilation
AS Lawless, NK Nichols
Monthly weather review 134 (11), 3425-3435, 2006
322006
Accounting for model error in strong‐constraint 4D‐Var data assimilation
KE Howes, AM Fowler, AS Lawless
Quarterly Journal of the Royal Meteorological Society 143 (704), 1227-1240, 2017
312017
A note on the analysis error associated with 3D‐FGAT
AS Lawless
Quarterly Journal of the Royal Meteorological Society 136 (649), 1094-1098, 2010
312010
Improving the condition number of estimated covariance matrices
JM Tabeart, SL Dance, AS Lawless, NK Nichols, JA Waller
Tellus A: Dynamic Meteorology and Oceanography 72 (1), 1-19, 2020
302020
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