<h3>Philip Browne</h3>

Postdoctoral Research Assistant


3d optimized cantilevered beam

My postdoc is on Climate Model Initialization and Improvement using Particle Filters.

I worked on a knowledge transfer project in association with the Met Office on 3D adaptive meshing for variational data assimiliation.

My PhD was on topology optimization of structures. This was a CASE award with the Rutherford Appleton Laboratory. Topology optimization addresses the problem of where to place material within a region in order to optimize a particular value of interest. We were particularly interested in buckling constraints - this meant solving a large nonlinear eigenvalue constrained optimization problem. The pdf is available below:

My research interests include:
Data assimilation
Adaptive meshing
Linear algebra
Scientific computing
Optimization methods

Publications - Google Scholar profile





A systematic method of parameterisation estimation using data assimilationM Lang, PJ van Leeuwen, PA BrowneTellus A2016In Press
Mesh generation on the sphere using Optimal Transport and the numerical solution of a Monge-Ampere type equationH. Weller, P Browne, C Budd, M CullenJ Computational Physics2015
Twin experiments with the equivalent weights particle filter and HadCM3. PA Browne, PJ van LeeuwenQJRMS2015
A simple method for integrating a complex model into an ensemble data assimilation system using MPI. PA Browne, S WilsonEnvironmental Modelling & Software2015
Fast three dimensional r-adaptive mesh redistribution PA Browne, CJ Budd, C Piccolo & M CullenJ Computational Physics2014 bibtex.
RMetS Special Interest Group Meeting: High resolution data assimilation.PA Browne, C Charlton-Perez & SL Dance Atmospheric Science Letters2014 bibtex.
A fast method for binary programming using first-order derivatives, with application to topology optimization with buckling constantsPA Browne, CJ Budd, NIM Gould, HA Kim & JA ScottInternational Journal of Numerical Methods in Engineering 2012 bibtex ,RAL technical report here.

Under review

A comparison of the equivalent weights particle filter and the local ensemble transform Kalman filter in application to the barotropic vorticiy equationPA BrowneTellus A2015Under Review

Articles in preparation

A comparison of fixed point iterations and a parabolic relaxation for solving the Monge-Ampere equation on the plane.PA Browne, H Weller & J Prettyman2016 In Preparation


Topology optimization of linear elastic structuresPA BrowneUni. of Bath PhD 2013
Numerical Methods for Two Parameter Eigenvalue ProblemsPA BrowneUni. of Bath MMath2008



My bitbucket profile

The above video displays some results from running a particle filter on a global climate model. The equivalent weights particle filter is used to assimilate artificial SST data daily into the coupled ocean-atmosphere global climate model HadCM3. The panel on the left shows the "truth" SSTs and the panel on the right shows the mean from a 32 member ensemble at the corresponding space-time positions. Note, for best viewing select HD from the Settings wheel in the bottom right.

This video displays the ocean zonal surface currents in the same manner as above. Note that none of these currents have been observed.


If you would like any further information on these, including a pdf version of the slides, please just email me.

USNCCM, San Diego, USA Parameterisation Estimation Using Data Assimilation29/07/2015
CliMathNet Annual Conference, University of BathParticle filters: nonlinearity, the curse of dimensionality and the future06/07/2015
International Symposium on Data Assimilation, Riken, Kobe, JapanThe impact of different model error covariance matrices on the performance of a particle filter applied to a coupled ocean-atmosphere climate model25/02/2015
CliMathNet Annual Conference, University of LeedsNumerical issues when applying a particle filter to a coupled ocean-atmosphere climate model 15/07/2014
Reading-Warwick Data assimilation meeting, University of Warwick Numerical issues when applying a particle filter to a coupled ocean-atmosphere climate model 12/05/2014
EGU 2014, Vienna, Austria Applying a fully nonlinear particle filter on a coupled ocean-atmosphere climate model 01/05/2014
25th Biennial Conference on Numerical Analysis, University of Strathclyde, Glasgow, UK A simple method for using a complex model within a particle filter 26/06/2013
11th Bath-RAL Numerical Analysis Day Topology optimization: a case study of a CASE award 28/01/2013
University of Reading DARC Seminar, Reading Generating 3D adapted grids for data assimilation 31/10/2012
Met Office Data Assimilation Seminar, UK Met Office, Exeter Fully 3D adaptive grid generation for data assimilation 06/07/2012
12th Copper Mountain Conference on Iterative Methods, Colorado, USA Convergence of the ESO method for topology optimization 29/03/2012
Bath Numerical Analysis Seminar Convergence of the ESO method for topology optimization 25/11/2011
ICIAM, Vancouver, Canada Structural Optimization in collaboration with RAL and HSL20/07/2011
Numerical Analysis Postgraduate Seminar Day, Oxford
Topology Optimization for structural problems 18/03/2011
Bath Numerical Analysis Seminar An Introduction to SQP 03/12/2010
ASMO-ISSMO Conference, QMU, London Topology Optimization in the presence of an eigenbuckling constraint 01/07/2010
BMC/BAMC, Edinburgh Structural Optimization with buckling constraints 07/04/2010
Bath Centre for Nonlinear Mechanics Structural Optimization in the presence of stability constraints 16/03/2010
Mechanical Engineering Research Group Symmetric Eigenvalue Methods 09/03/2010
Bath Numerical Analysis Seminar Motivation and efficient implementation of the SIMP method 13/11/2009
Bath Postgraduate Seminar Series Structural Optimization, where do you like your holes? 20/10/2009


me looking good


p.browne @ reading . ac . uk


Dept. of Meteorology,
University of Reading,


+44 118 378 6296