What is data assimilation?

Data assimilation is the science of environmental state-estimation, where observations and model information are combined to produce an analysis, or estimate of the current state of the system. Applications include:

  • Forecasting: Using recent observations to improve initial conditions for short-term predictions (e.g. numerical weather forecasting)
  • Diagnosis, including parameter estimation: Testing and improving models by comparing predictions to observations (e.g. coastal sediment transport modelling)
  • Retrospective analysis: Learning more about how the Earth works, by using models to interpret/extend different types of data (e.g. climate studies
  • Real-time Control: Use continually changing estimates of system state to determine control actions (e.g. variable speed-limits on the motorway)

The focus of our group is on development of mathematical aspects of data assimilation methods for applications in hazardous weather prediction and flooding. More information about projects and group members are available by clicking the buttons on the left.

PhD studentship opportunities are often available. Please check the Maths and Meteorology Department webpages for details.

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