11 citations · 22 across the 5 of their papers we have counts for
5 papers
GraphDOP: Towards skilful data-driven medium-range weather forecasts learnt and initialised directly from observations
Mihai Alexe, Eulalie Boucher, Peter Lean +11
We introduce GraphDOP, a new data-driven, end-to-end forecast system developed at the European Centre for Medium-Range Weather Forecasts (ECMWF) that is trained and initialised exc…
Data driven weather forecasts trained and initialised directly from observations
Anthony McNally, Christian Lessig, Peter Lean +11
Skilful Machine Learned weather forecasts have challenged our approach to numerical weather prediction, demonstrating competitive performance compared to traditional physics-based…
Impact of an Ensemble of Ocean Data Assimilations in ECMWF's next generation ocean reanalysis system
Marcin Chrust, Anthony T. Weaver, Philip Browne +2
An Ensemble of Data Assimilations (EDA) can provide valuable information on the analysis and short-range forecast uncertainties. The present ECMWF operational ocean analysis and re…
Development of an offline and online hybrid model for the Integrated Forecasting System
Alban Farchi, Marcin Chrust, Marc Bocquet +1
In recent years, there has been significant progress in the development of fully data-driven global numerical weather prediction models. These machine learning weather prediction m…
Online model error correction with neural networks in the incremental 4D-Var framework
Alban Farchi, Marcin Chrust, Marc Bocquet +2
Recent studies have demonstrated that it is possible to combine machine learning with data assimilation to reconstruct the dynamics of a physical model partially and imperfectly ob…