Alberto Carrassi (NERSC)

Alberto Carrassi (NERSC)

Alberto Carrassi (NERSC)

My research interests focus on the development of efficient methods to assimilate and combine data with numerical models of environmental systems. I work at the bridge between applied mathematics and geosciences and my main expertise is in dynamical systems and stochastic filtering applications to geophysics. I am interested in fundamental issues in the theory of data assimilation and in efficient methods to quantify uncertainty in high-dimensional problems such those encountered in climate science.

Some specific areas of research include:

  • Assimilation in the unstable subspace
  • Treatment of model error in data assimilation
  • Ensemble Kalman filtering
  • Adaptive observations
  • New applications of the data assimilation: model selection, attribution of climate change

Together with Laurent Bertino, I lead the Data Assimilation group at NERSC. I currently coordinate two international projects on efficient reduced order methods for data assimilation in high-dimensional chaotic system (REDDA from the Norwegian Research Council) and on data assimilation for Lagrangian sea-ice models (DASIM I and DASIM II from the US Office of Naval Research).