IAHS Scientific Assembly 2017
10–14 July 2017
Port Elizabeth, South Africa
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Session 24

Stochastic hydrology: simulation and disaggregation models
Convener: Demetris Koutsoyiannis  | Co-Conveners: Uwe Haberlandt , Andreas Langousis , Yuanfang Chen , Elena Volpi 
Supporting commission(s) / organisations: ICSH

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.