Comparison of extreme weather indicators elaborated from heterogeneous agrometeorological sources

In the current study, the sensitivity of extreme weather indicators related to temperature and rainfall has been assessed in relation to different sources of agrometeorological data: the weather stations that belong to the Piedmont Regional service (RAM) and the proximity sensors deployed in the production area of Moscato d’Asti (SISAV). Indicators assessment has been conducted between 2021 and 2023 in five locations with twin stations for RAM and SISAV (<2 km distance). Results show varying sensitivity of the indicators to data sources, depending on the considered weather factor, the location, and year. For instance, the yearly number of frozen days (ID0, i.e., days without thaw) is similar for both the sources, while the yearly number of tropical nights (TR20, i.e., days with minimum temperature >20°C) varies among sensor, with about 4 to 6 days of difference between the two sources of data. Discrepancies in indicators highlight the key role of the data provider to understand climate changes and trends over time.