Data assimilation and uncertainty quantification

Work Package 6

Data assimilation and uncertainty quantification

Vision

To process geophysical datasets for detection, estimation and prediction based on statistical machine learning techniques.

What we will do

  • Coherent probabilistic data assimilation of diverse geophysical data sources.
  • Transfer learning, building on recent machine learning approaches reducing the need for expensive real-world measurements.
  • Optimise available communication and computational resources.
  • Identify effective data gathering approaches for improved decision support systems.

Projects

Projects

Publications

Publications