Uncertainties and data assimilation

Both, remote sensing observations and model simulations are prone to intrinsic uncertainties. To best combine observational data and model simulations it is important to balance the uncertainties of different data sets.

The research group is therefore developing techniques to retrieve surface parameters from remote sensing data and assessing their uncertainties and use the data for the evaluation and optimization of climate models.