The paper describes the database of 1 min drop size distribution (DSD) of atmospheric precipitation collected by the Italian disdrometer network over the last 10 years. These data are useful for several applications that range from climatological, meteorological and hydrological uses to telecommunications, agriculture and conservation of cultural heritage exposed to precipitation. Descriptions of the processing and of the database organization, along with some examples, are provided.

In this work, preliminary numerical simulations with the NWO COSMO model including Urban parameterization have been performed. This work concerns simulations over a small domain located in southern Italy, in order to test the capabilities of the model in reproducing the main climate features of Urban Heat Islands over this area. Numerical results encourage further investigation and development of urban parameterization in very high-resolution configurations.

Landslide hazard at a given location may change over time due to climate change, since the frequency and intensity of landslide-triggering factors such as rainfall can vary significantly. It is important for stakeholders and decision-makers to predict trends in landslide hazard to mitigate the risk of losing lives and material assets. This study contributes an innovative method for the prediction of future variations of rainfall-induced landslides and shows its application to an Italian site.

Adverse meteorological conditions are one of the major causes of accidents in aviation, resulting in substantial human and economic losses. For this reason it is crucial to monitor and early forecast high impact weather events. In this context, CIRA (Italian Aerospace Research Center) has implemented MATISSE (Meteorological AviaTIon Supporting SystEm), an ArcGIS Desktop Plug-in able to detect and forecast meteorological aviation hazards over European airports, using different data sources.