Philip Browne
Philip Browne
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TitleCited byYear
A fast method for binary programming using first‐order derivatives, with application to topology optimization with buckling constraints
PA Browne, C Budd, NIM Gould, HA Kim, JA Scott
International Journal for Numerical Methods in Engineering 92 (12), 1026-1043, 2012
Topology optimization of linear elastic structures
PA Browne
University of Bath, 2013
A simple method for integrating a complex model into an ensemble data assimilation system using MPI
PA Browne, S Wilson
Environmental Modelling & Software 68, 122-128, 2015
Fast three dimensional r-adaptive mesh redistribution
PA Browne, CJ Budd, C Piccolo, M Cullen
Journal of Computational Physics 275, 174-196, 2014
Mesh adaptation on the sphere using optimal transport and the numerical solution of a Monge–Ampère type equation
H Weller, P Browne, C Budd, M Cullen
Journal of Computational Physics 308, 102-123, 2016
Twin experiments with the equivalent weights particle filter and HadCM3
PA Browne, PJ Van Leeuwen
Quarterly Journal of the Royal Meteorological Society 141 (693), 3399-3414, 2015
A systematic method of parameterisation estimation using data assimilation
M Lang, P Jan Van Leeuwen, P Browne
Tellus A: Dynamic Meteorology and Oceanography 68 (1), 29012, 2016
ECMWF activities for improved hurricane forecasts
L Magnusson, JR Bidlot, M Bonavita, AR Brown, PA Browne, G De Chiara, ...
Bulletin of the American Meteorological Society 100 (3), 445-458, 2019
Data assimilation in the solar wind: challenges and first results
M Lang, P Browne, PJ Van Leeuwen, M Owens
Space Weather 15 (11), 1490-1510, 2017
A comparison of the equivalent weights particle filter and the local ensemble transform Kalman filter in application to the barotropic vorticity equation
PA Browne
Tellus A: Dynamic Meteorology and Oceanography 68 (1), 30466, 2016
Weakly coupled ocean–atmosphere data assimilation in the ECMWF NWP system
PA Browne, P de Rosnay, H Zuo, A Bennett, A Dawson
Remote Sensing 11 (3), 234, 2019
Observational Needs for improving Ocean and Coupled Reanalysis, S2S Prediction, and Decadal Prediction
SG Penny, S Akella, MA Balmaseda, P Browne, JA Carton, M Chevallier, ...
Frontiers in Marine Science 6, 391, 2019
RMetS special interest group Meeting: high resolution data assimilation
PA Browne, C Charlton‐Perez, SL Dance
Atmospheric Science Letters 15 (4), 354-357, 2014
Numerical methods for two parameter eigenvalue problems
PA Browne
Thesis, University of Bath, Department of Mathematical Sciences, 2008
The New Stand-Alone Surface Analysis at ECMWF: Implications for Land–Atmosphere DA Coupling
D Fairbairn, P de Rosnay, PA Browne
Journal of Hydrometeorology 20 (10), 2023-2042, 2019
Data Assimilation in the Solar Wind
M Lang, MJ Owens, P Browne, PJ van Leeuwen
AGU Fall Meeting Abstracts, 2018
EMPIRE and pyenda: Two ensemble-based data assimilation systems written in Fortran and Python
G Geppert, P Browne, PJ van Leeuwen, C Merker
EGU General Assembly Conference Abstracts 19, 17822, 2017
Model error moment estimation via data assimilation
PA Browne
arXiv preprint arXiv:1610.01226, 2016
Nonlinear solution techniques for solving a Monge-Amp\ere equation for redistribution of a mesh
PA Browne, J Prettyman, H Weller, T Pryer
arXiv preprint arXiv:1609.09646, 2016
Using data assimilation for systematic model improvement
MS Lang, PJ van Leeuwen, P Browne
EGU General Assembly Conference Abstracts 18, 2016
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