Shot noise modeling of daily streamflows: A hybrid spectral‐ and time‐domain calibration approach

Abstract

Abstract The aim of this paper is to describe and evaluate a hybrid spectral‐ and time‐domain approach for the calibration of shot noise models for daily streamflow generation. The calibration approach allows the parameter estimation of a minimum‐phase rainfall/streamflow model using two steps. In the predictor step, the power spectral density of a recorded streamflow series is used to calibrate the parameters connected with the model dynamics. During the corrector step, a classic time‐domain procedure is used to calibrate the parameters connected with the average output of the model and the parameters that characterize the rainfall stochastic process. The procedure is demonstrated through its application to the daily streamflow time series associated with three Italian watersheds, and its results are then compared with those obtained by means of a time‐domain calibration method available in the literature.