Joint ECMWF/OceanPredict workshop on Advances in Ocean Data Assimilation
Session
Conveners
Theme 4: Machine learning in data assimilation
- Arthur Vidard (Inria)
- Marcin Chrust (ECMWF)
Billions of new observations are added every day to an already vast record of earth system observations from satellite and surface-based measuring devices. The future will see increasing diversity from sources like smallsats and networked devices such as smartphones. There are also important and often unique observing capabilities in research campaigns and field sites. Earth system...
Over the past years, Data Assimilation (DA) has increased in sophistication to better fit application requirements and circumvent implementation issues. Nevertheless, these approaches are incapable of fully overcoming their unrealistic assumptions. Machine Learning (ML) shows great capability in approximating nonlinear systems, and extracting high--dimensional features. ML algorithms are...