Philip Browne

Scientist
Research Department, Earth System Assimilation Section, Coupled Assimilation Group

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Profile
Summary: 

Phil Browne is a scientist working on coupled ocean-atmosphere data assimilation.

He investigates new ways to use observations of the ocean to constrain the estimate of the atmospheric state, and vice-versa.

Professional interests: 
  • Coupled data assimilation methodologies
  • Coupled data assimilation infrastructure
  • Sea surface temperature observations
  • Sea ice observations
  • Air sea flux observations and modelling
  • Nonlinear data assimilation methodologies
Career background: 

Professional Experience

  • Since 01/2017: Scientist at ECMWF, Research Department, Earth System Assimilation Section
  • 09/2012 - 16/2016: Postdoc, Department of Meteorology, University of Reading
  • 01/2012 - 06/2012: Knowledge Transfer Fellow, UK Met Office and Department of Mathematics, University of Bath
External recognitions: 

Observing Air Sea Interactions Strategy (OASIS) working group member - airseaobs.org

EURO-ARGO ERIC Scientific and Technical Advisory Group member euro-argo.eu

Publications
  • 2022
  • 2021
    • Linus Magnusson, Sharanya Majumdar, Rebecca Emerton, David Richardson, Magdalena A. Balmaseda, Calum Baugh, Peter Bechtold, Jean Bidlot, Antonino Bonanni, Massimo Bonavita, Niels Bormann, Andy Brown, Philip Browne, Hilda Carr, Mohamed Dahoui, Giovanna De Chiara, Michail Diamantakis, David Ian Duncan, Stephen English, Richard Forbes, Alan Geer, Thomas Haiden, Sean Healy, Timothy Hewson, Bruce Ingleby, Martin Janousek, Christian Kühnlein, Simon Lang, Sarah-Jane Lock, Tony McNally, Kristian S. Mogensen, Florian Pappenberger, Inna Polichtchouk, Fernando Prates, Christel Prudhomme, Florence Rabier, Patricia de Rosnay, Tiago Quintino, Michael Rennie (October 2021) Tropical cyclone activities at ECMWF, ECMWF Technical Memoranda n. 888. DOI: 10.21957/zzxzzygwv
  • 2020
  • 2019
  • 2018
    • (2018) ECMWF activities for improved hurricane forecasts, Bulletin of the American Meteorological Society n. 2018.
  • 2017
    • (2017) Data assimilation in the solar wind: challenges and first results, Space Weather n. 11, pp. 1490–1510.
  • 2016
    • (2016) Mesh adaptation on the sphere using optimal transport and the numerical solution of a Monge--Ampère type equation, Journal of Computational Physics, pp. 102–123.
    • (2016) Model error moment estimation via data assimilation, arXiv preprint arXiv:1610.01226.
    • (2016) A comparison of the equivalent weights particle filter and the local ensemble transform Kalman filter in application to the barotropic vorticity equation, Tellus A: Dynamic Meteorology and Oceanography n. 1, pp. 30466.
    • (2016) A systematic method of parameterisation estimation using data assimilation, Tellus A: Dynamic Meteorology and Oceanography n. 1, pp. 29012.
  • 2015
    • (2015) A simple method for integrating a complex model into an ensemble data assimilation system using MPI, Environmental Modelling & Software, pp. 122–128.
    • (2015) Twin experiments with the equivalent weights particle filter and HadCM3, Quarterly Journal of the Royal Meteorological Society n. 693, pp. 3399–3414.
  • 2014
    • (2014) Fast three dimensional r-adaptive mesh redistribution, Journal of Computational Physics, pp. 174–196.
    • (2014) RMetS special interest group Meeting: high resolution data assimilation, Atmospheric Science Letters n. 4, pp. 354–357.
  • 2012
    • (2012) A fast method for binary programming using first-order derivatives, with application to topology optimization with buckling constraints, International Journal for Numerical Methods in Engineering n. 12, pp. 1026–1043.
Contact Details:
philip . browneecmwf . int