High‐resolution monthly temperature climatologies for Italy are presented. They are based on a dense and quality‐controlled observational dataset which includes 1484 stations and on three distinct approaches: multi‐linear regression with local improvements ( MLRLI ), an enhanced version of the model recently used for the Greater Alpine Region, regression kriging ( RK ), widely used in literature and, lastly, local weighted lin...

In this work we present a homogenized high‐resolution data set composed of 200 daily precipitation series spanning the last 90 years, located over an area centred on the Trentino—South Tyrol region (central part of the European Alps), in a transition zone between the climates of the southern and northern slopes of the Alps. We analysed the trends of total precipitation (TP), wet days (WD) and average intensity (PI), as well as...

This work presents a novel method for estimating missing values in daily precipitation series. It is aimed at identifying the event time location with good accuracy and reconstructing the correct amount of daily rainfall. In addition, the statistical properties of the time series, i.e. both probability distribution and long‐term statistics, are preserved. The completion method is based on a two‐step algorithm that uses informa...