Work

Testing trends in gridded rainfall datasets at relevant hydrological scales: A comparative study with regional ground observations in Southern Italy

Year: 2024

Type: article

Abstract: In this study, we compared the spatiotemporal evolution of rainfall trends in E-OBS and ERA5 to those detected using historical rainfall series recorded by ground-based networks in Southern Italy. In particular, the study is applied to the Campania, Basilicata, Apulia, Calabria and Sicily regions (84,000 km 2 in total) on seasonal and annual scales. Meteorological gridded datasets at large spatial scales are widely used in many hydroclimatic applications as they provide long and spatially homogeneous records. Regional trend analyses based on these data need to be treated with caution due to some potential limitations at relevant hydrological scales, such as the coarse spatial resolution and the spatio-temporal inhomogeneity of the underlying data. Gradual trends and abrupt change points were studied on rainfall data from 1979 to 2019. Both gridded datasets capture the major trends in observed rainfall, with a predominance of positive values driven by changes in September-November. Overall, ERA5 returns flatter results compared to E-OBS, with the former comparing well with observations in Sicily and Apulia, while the latter is performing well in Campania and partially in Calabria and Basilicata. Most statistically significant trends are associated with discontinuities in the early 2000s, and this is well captured by both ground and gridded datasets. The general behavior in inter-annual variability trends in Southern Italy is captured by both datasets, with ERA5 also detecting regional patterns. • Gridded rainfall datasets capture positive trends driven by changes in Sep-Nov. • Significant trends are associated with discontinuities in the early 2000s. • Patterns in inter-annual variability are similar in gridded and observed datasets. • Differences are observed when results are analysed at regional scale.

Source: Journal of Hydrology Regional Studies

DOI: 10.1016/j.ejrh.2024.101950