ScientistResearch Department, Earth System Assimilation Section, Coupled Assimilation Grouppage tabs 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 2022Patricia de Rosnay, Philip Browne, Eric de Boisséson, David Fairbairn, Yoichi Hirahara, Kenta Ochi, Dinand Schepers, Peter Weston, Hao Zuo, Magdalena Alonso‐Balmaseda, Gianpaolo Balsamo, Massimo Bonavita, Niels Borman, Andy Brown, Marcin Chrust, Mohamed Dahoui, Giovanna Chiara, Stephen English, Alan Geer, Sean Healy, Hans Hersbach, Patrick Laloyaux, Linus Magnusson, Sébastien Massart, Anthony McNally, Florian Pappenberger, Florence Rabier (July 2022) Coupled data assimilation at ECMWF: current status, challenges and future developments, Quarterly Journal of the Royal Meteorological Society. DOI: 10.1002/qj.4330 Hiroe Yamazaki, Hilary Weller, Colin J. Cotter, Philip A. Browne (July 2022) Conservation with moving meshes over orography, Journal of Computational Physics, pp. 111217. DOI: 10.1016/j.jcp.2022.111217 Tony McNally, Philip Browne, Marcin Chrust, David Fairbairn, Sebastien Massart, Kristian S. Mogensen, Hao Zuo (July 2022) Progress on developing a new coupled sea-surface temperature analysis, ECMWF Newsletter, issue 172, pp. 17-22. DOI: 10.21957/tm4913hs8d M F Cronin, S Swart, C A Marandino, C Anderson, P Browne, S Chen, W R Joubert, U Schuster, R Venkatesan, C I Addey, O Alves, F Ardhuin, S Battle, M A Bourassa, Z Chen, M Chory, C Clayson, R B de Souza, M du Plessis, M Edmondson, J B Edson, S T Gille, J Hermes, V Hormann, S A Josey, M Kurz, T Lee, F Maicu, E H Moustahfid, S-A Nicholson, E S Nyadjro, J Palter, R G Patterson, S G Penny, L P Pezzi, N Pinardi, J E J Reeves Eyre, N Rome, A C Subramanian, C Stienbarger, T Steinhoff, A J Sutton, H Tomita, S M Wills, C Wilson, L Yu, Howard Browman (September 2022) Developing an Observing Air–Sea Interactions Strategy (OASIS) for the global ocean, ICES Journal of Marine Science. DOI: 10.1093/icesjms/fsac149 (March 2022) Evaluation of Surface Conditions from Operational Forecasts Using in situ Saildrone Observations in the Pacific Arctic, Monthly Weather Review. DOI: 10.1175/mwr-d-20-0379.1 2021Linus 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 2020Michael Sleigh, Philip Browne, Chris Burrows, Martin Leutbecher, Thomas Haiden, David Richardson (July 2020) IFS upgrade greatly improves forecasts in the stratosphere, ECMWF Newsletter, issue 164, pp. 18-23. DOI: 10.21957/b72xo6ms93 Chris Roberts, Antje Weisheimer, Stephanie Johnson, Timothy Stockdale, Magdalena A. Balmaseda, Philip Browne, Andrew Dawson, Martin Leutbecher, Frederic Vitart (January 2020) Reduced-resolution ocean configurations for efficient testing with the ECMWF coupled model, ECMWF Technical Memoranda n. 858. DOI: 10.21957/6fz18mn9r 2019Michael Sleigh, Philip Browne, Thomas Haiden, David Richardson, Michail Diamantakis (July 2019) IFS upgrade greatly improves forecasts, ECMWF Newsletter, issue 160, pp. 18-22. DOI: 10.21957/gt23msc861 Philip Browne, Patricia de Rosnay, Hao Zuo (July 2019) Coupled ocean–atmosphere data assimilation at ECMWF, ECMWF Newsletter, issue 160, pp. 23-28. DOI: 10.21957/ka471pbj9e Philip Browne, Patricia de Rosnay, Hao Zuo, Andrew Bennett, Andrew Dawson (January 2019) Weakly Coupled Ocean–Atmosphere Data Assimilation in the ECMWF NWP System, Remote Sensing. DOI: 10.3390/rs11030234 Philip Browne, Patricia de Rosnay, Hao Zuo, Andrew Bennett, Andrew Dawson (January 2019) Weakly coupled ocean-atmosphere data assimilation in the ECMWF NWP system, ECMWF Technical Memorandum n. 836. DOI: 10.21957/eqe8rx02 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.