A major challenge today is to create precise, computer-based climate-change models, which are essential for making reliable predictions of future climate and environmental conditions.
Systems for forecasting e.g. the weather are based on two sources: knowledge about the physics of the flow (which is converted into a numerical model that computers can run) and observations from weather stations and satellites. Neither of these sources alone can provide sufficient information for making reliable forecasts. The objective of this new NCoE is to develop methods that efficiently combine observational data in order to apply this data in practice to predict future conditions and assess uncertainty in forecasts. Scientifically the NCoE domain is in the interface between mathematics, geostatistics, geophysics, physics and eScience.