Dr. Yannick Trémolet joined the JCSDA in Boulder in January 2017. He leads the Joint Effort for Data assimilation Integration (JEDI). The main objective of the project is to define and implement the next-generation unified data assimilation framework for all JCSDA partners and the wider community. This framework will accommodate both operational and research needs through the use of modern software development techniques and tools. It will provide the infrastructure for exploring and addressing the grand scientific challenges for tomorrow’s data assimilation and forecasting.

Yannick has a Ph.D. in Applied Mathematics and long experience in data assimilation and high performance computing (HPC). Before joining the JCSDA, he worked at the European Centre for Medium-range Weather Forecasts (ECMWF). His main research interests are in data assimilation methodology. More specifically, he has worked on the estimation of model error in weak constraint 4D-Var, on the use of long assimilation windows, on the convergence of 4D-Var, and on the scalability and efficiency of variational data assimilation. He initiated and led the implementation of the Object-Oriented Prediction System (OOPS) that aims at making the ECMWF data assimilation system more flexible for exploring new algorithms and more scalable. Dr. Trémolet also spent one year at NASA/ GMAO, where he worked on the implementation of 4D-Var in the GSI and implemented an adjoint of the assimilation system for observation impact estimation. Before joining ECMWF, he spent several years at NCEP/ EMC, working mostly of the parallelization and efficiency of the global spectral model. He also developed the tangent linear and adjoint of that model.

Apart from science, Yannick enjoys travels, mountains and nature, often combining those through long treks in the Himalayas, the Andes, or the Arctic. He also enjoys skiing, photography, and cooking. He is very keen to start exploring the mountains around Boulder.