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. The characterization of the hydro-meteorological extremes, in terms of bothrainfall and streamflow, and the estimation of long-term water balanceindicators are essential issues for flood alert and water managementservices. In recent years, simulations carried out with meteorological modelsare becoming available at increasing spatial and temporal resolutions (bothhistorical reanalysis and near-real-time hindcast studies); thus, thesemeteorological datasets can be used as input for distributed hydrologicalmodels to drive a long-period hydrological reanalysis. In this work we adopteda high-resolution (4 km spaced grid, 3-hourly) meteorological reanalysisdataset that covers Europe as a whole for the period between 1979 and 2008.This reanalysis dataset was used together with a rainfall downscalingalgorithm and a rainfall bias correction (BC) technique in order to feed acontinuous and distributed hydrological model. The resulting modeling chainallowed us to produce long time series of distributed hydrological variables forthe Liguria region (northwestern Italy), which has been impacted by severehydro-meteorological events. The available rain gauges were compared with the rainfall estimated by thedataset and then used to perform a bias correction in order to match theobserved climatology. An analysis of the annual maxima discharges derived bysimulated streamflow time series was carried out by comparing the latterwith the observations (where available) or a regional statistical analysis(elsewhere). Eventually, an investigation of the long-term water balance wasperformed by comparing simulated runoff ratios (RRs) with the availableobservations. The study highlights the limits and the potential of the consideredmethodological approach in order to undertake a hydrological analysis instudy areas mainly featured by small basins, thus allowing us to overcome thelimits of observations which refer to specific locations and in some cases are not fully reliable.

hydrology and earth system sciences

Analysis of the streamflow extremes and long-term water balance in the Liguria region of Italy using a cloud-permitting grid spacing reanalysis dataset