Patrick Laloyaux

Senior Scientist
Research, Earth System Assimilation, Data Assimilation Methodology


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.