Spatial-temporal model of rainfall calibrated by radar data
Small- and medium-scale catchments (1-100 km2) are generally characterized by high spatial and temporal requirements, due to their rapid reactions to rainfall inputs at fine spatial and temporal scales. However, the natural variability of rainfall fields may lead to large uncertainty and bias in rain estimation at those scales. For this reason, flood risk assessment and management (e.g. in urban areas) could greatly benefit from stochastic spatial-temporal modelling of precipitation. The calibration of the Gaussian displacements spatial-temporal rainfall model (GDSTM), i.e.