Preliminary comparison study of two independent precipitation network in Piedmont

Long historical climate records typically contain inhomogeneities. Parallel measurements are ideal to study such non-climatic changes. In this study we will analyze the transition from conventional precipitation observations to automatic weather stations. The dataset comes from two independent climate networks in the region of Piedmont, Italy. From this dataset we could identify 20 pairs of stations with up to 17 years of overlap. This is a valuable dataset because it allows us to study an ensemble of independently managed pairs of standard-quality stations. The main systematic differences was found in the number of weak rainy events The automatic weather stations report more events. On average they report 7 events more per year. While for the heavy and extreme precipitation, in some cases, we have identified great differences between the two series that can falsify the behavior of the variables.