Improving numerical weather forecasts with artificial neural networks

New study shows how machine learning can be used to remove systematic errors from numerical weather forecasts. More...

Soil Moisture - Precipitation Coupling over Central Europe: Interactions between
surface anomalies at different scales and its dynamical implication

In a recent publication the sign of soil moisture-precipitation coupling and its scale dependence is examined. More...

Estimation of the variability of mesoscale energy spectra with three years of COSMO-DE analyses

In our recent paper we investigate the variability of the spectrum using three years of COSMO-DE kilometer-resolution analyses. More...

Project IcePolCKa started - polarimetric radar observations

In IcePolCKa, part of the DFG priority program PROM, we investigate how novel radar observations can be used to improve weather forecasts. More ...