Session 24Stochastic hydrology: simulation and disaggregation models
|Convener: Demetris Koutsoyiannis | Co-Conveners: Uwe Haberlandt , Andreas Langousis , Yuanfang Chen , Elena Volpi|
Stochastic hydrology offers very efficient tools for the characterization of the relevant processes in hydroclimatic systems, e.g., for hydrologic design, hydroclimatic systems modeling and forecasting and water resources management. The application of the theory of stochastic processes is needed to achieve a faithful and consistent representation of natural processes and characterize the inherent uncertainty in probabilistic terms. This allows, e.g., to simulate synthetic series representing the relevant characteristics of the processes – the main statistical properties across multiple spatial and temporal scales – for assessing the hydrological impact in a changing environment.
This session call for papers developing and discussing stochastics tools to systematically deal with uncertainty and space-time variability, for simulation or disaggregation purposes of hydroclimatic variables such as, e.g., precipitation, temperature, streamflow and soil properties. Contributions are invited, for instance, on the improvement of stochastic modeling in hydrology, innovative techniques for identifying model structure, calibrating parameters, assessing uncertainties etc.