Abstracted/indexed

10-year long sensitivity study on domain size was perform with REMO regional climate model. We can conclude, that the selection of domain size has larger impact on the simulation of precipitation, and in case of the seasonal mean of the precipitation indices, the differences amongst the results obtained on each model domain exceed 10%. In general, the smallest biases were obtained on the largest domain, therefore further long term simulations are being achieved on this.

Convection-permitting models allow for prediction of rainfall events with increasing levels of detail. However, this increased resolution can create problems such as the so-called double penalty problem when attempting to verify model forecast accuracy. This problem is amplified when trying to maximise the value of a convection-permitting ensemble prediction system (EPS). Post-processing of the EPS can help to overcome these issues. In this spirit, two new up-scaling algorithms based on Machine