Senior ScientistResearch Department, Earth System Assimilation Section, Data Assimilation Methodology Grouppage tabs Profile Summary: Patrick Laloyaux is a research scientist working to improve global numerical weather prediction. Data assimilation is the very best way to make a forecast out of a numerical model and a set of observations. His expertise includes coupled atmosphere-ocean assimilation, bias correction of model and satellite observations, atmospheric 4D-Var and climate reanalysis. Professional interests: Coupled atmosphere-ocean assimilation Earth system reanalysis Variational and ensemble assimilation methods Climate change Software architecture Numerical optimisation Career background: Trained as an applied mathematician, he has expertise in optimisation methods for variational problems and in ensemble Kalman filters. He obtained his PhD from the University of Namur (Belgium) conducted in partnership with the European Centre for Research and Advanced Training in Scientific Computation (CERFACS, France). During his PhD, he developed new preconditioning and gradient-free techniques for solving variational problems. He was also a teaching assistant giving tutorials (220 hours/year) to undergraduate and graduate students in programming, scientific computation and numerical optimization. Publications 2020Patrick Laloyaux, Massimo Bonavita (April 2020) Improving the handling of model bias in data assimilation, ECMWF Newsletter, issue 163, pp. 18-22. DOI: 10.21957/pl881qs63d 2018Patrick Laloyaux, Sergey Frolov, Benjamin Ménétrier, Massimo Bonavita (October 2018) Implicit and explicit cross-correlations in coupled data assimilation, Quarterly Journal of the Royal Meteorological Society n. 715, pp. 1851–1863. DOI: 10.1002/qj.3373 (May 2018) CERA-20C: A Coupled Reanalysis of the Twentieth Century, Journal of Advances in Modeling Earth Systems. DOI: 10.1029/2018ms001273 Hans Hersbach, Patricia de Rosnay, Bill Bell, Dinand Schepers, Adrian Simmons, Cornel Soci, Saleh Abdalla, Magdalena A. Balmaseda, Gianpaolo Balsamo, Peter Bechtold, P. Berrisford, Jean Bidlot, de Boisséson E., Massimo Bonavita, Browne P., Roberto Buizza, Per Dahlgren, Dick Dee, Rossana Dragani, Michail Diamantakis, Johannes Flemming, Richard Forbes, Alan J. Geer, Thomas Haiden, Elias Hólm, L. Haimberger, Robin Hogan, Andras Horányi, Janiskova M., Patrick Laloyaux, Philippe Lopez, Joaquin Muñoz-Sabater, C. Peubey, Raluca Radu, David Richardson, Jean-Noel THEPAUT, Frédéric Vitart, Yang X, Ervin Zsoter, Hao Zuo (December 2018) Operational global reanalysis: progress, future directions and synergies with NWP, ERA Report Series n. 27. DOI: 10.21957/tkic6g3wm Patrick Laloyaux, Frolov S., B. Ménétrier, Massimo Bonavita (August 2018) Implicit and explicit cross-correlations in coupled data assimilation, ECMWF Technical Memoranda n. 827. DOI: 10.21957/hpbwlimdj 2017Massimo Bonavita, Y. Trémolet, Elias Hólm, S. T. K. Lang, Marcin Chrust, Marta Janiskova, Philippe Lopez, Patrick Laloyaux, Patricia de Rosnay, Mike Fisher, M. Hamrud, Stephen English (2017) A Strategy for Data Assimilation, ECMWF Technical Memoranda n. 800. DOI: 10.21957/tx1epjd2p 2016 (January 2016) A coupled data assimilation system for climate reanalysis, Quarterly Journal of the Royal Meteorological Society. DOI: 10.1002/qj.2629 (March 2016) Impact of Scatterometer Surface Wind Data in the ECMWF Coupled Assimilation System, Monthly Weather Review. DOI: 10.1175/mwr-d-15-0084.1 (June 2016) ERA-20C: An Atmospheric Reanalysis of the Twentieth Century, Journal of Climate. DOI: 10.1175/jcli-d-15-0556.1 2015 (November 2015) Origin and Impact of Initialization Shocks in Coupled Atmosphere–Ocean Forecasts*, Monthly Weather Review. DOI: 10.1175/mwr-d-15-0076.1
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