A meta-institute regrouping and coordinating expertise on data assimilation in Norway.
Data Assimilation (DA)
The science of optimally combining sparse data and computational models, both of which are typically inhomogeneous and large. Based on classical statistics, signal processing, and control systems theory, and increasingly, machine learning, DA is primarily developed in weather, climate, and oceanographic forecasting. DA is presently used all across the geosciences (hydrology, seismology, glaciology, ecosystemology) and beyond (petroleum reservoirs management, aerodynamic design, medicine, epidemiology, finance, etc.).
The Norwegian Climate Prediction Model (NorCPM) provides seasonal and decadal climate predictions. It runs the Norwegian Earth System Model (NorESM, based on CESM) using the Ensemble Kalman Filter (EnKF) data assimilation method.
Data Assimilation Fundamentals
New textbook. A Unified Formulation of the State and Parameter Estimation Problem
NORCE Norwegian Research Centre
The data assimilation and optimisation group at NORCE consists of around 20 researchers, all experts on ensemble-based methods. The group initiated research into data assimilation and optimisation for petroleum reservoir management.
Nansen Environmental and Remote Sensing Center
Home of the EnKF, researchers at NERSC focus on geophysical (climate, oceanographic) applications, with particular focus on the Arctic North Atlantic and remote sensing, but not only.