We studied the 2023 Mediterranean Hurricane Daniel, an extreme storm that is difficult to predict. Using two high-resolution weather models, we analysed how different representations of clouds affect the results. Although the storm's path was clear, the intensity of the wind and rain varied significantly. The results show that precise settings are vital for effective warnings, improving the ability to predict these rare weather events to better protect the region.

This paper reviews new observations for the verification of high-impact weather and provides advice for their usage in objective verification. New observations include remote sensing datasets, products developed for nowcasting, datasets derived from telecommunication systems, data collected from citizens, reports of impacts and reports from insurance companies. This work has been performed in the framework of the Joint Working Group on Forecast Verification Research (JWGFVR) of the WMO.