Stochastic Hydrology

The Stochastic Hydrology group develops innovative methods for modelling coupled hydrosystems considering uncertainties in the data, the model structure and parameters as well as system changes such as climate change and land use changes. In contrast to deterministic modelling, stochastic modelling yields probability functions of model outputs and state variables which allows to evaluate both the precision and the accuracy of predictive models.

© T. Wöhling

The following modelling techniques are developed and applied in our group:

• inverse modelling techniques,
• ensemble modelling,
• model calibration methods,
• Pareto analysis,
• multiobjective optimisation as diagnostic tools for model deficiencies,
• MCMC simulation to determine parametric uncertainties,
• model simplification and surrogate modelling,
• data worth analysis and optimal design of monitoring networks, and
• Bayesian methods (calibration, model averaging, ...).

Applications comprise surface water - groundwater interaction, flow and contaminant transport in soil-plant-atmosphere systems, and hydrological modelling. here we also analyse scaling processes between the soil pedon scale, field scale to small catchments. The determination of hydraulic properties of soil samples and the analysis of stable water isotopes is conducted in our own lab which is part of the work group.

Team Leader:

© M. Wagner

Senior Research Scientist

Name

PD Dr. habil. Thomas Wöhling

Team leader Stochastic Modelling of Hydrosystems

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Contact Information

Organization Name

Chair of Hydrology

Chair of Hydrology

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Visiting address:

Neubau Chemische Institute, Room 360 Bergstr. 66

01069 Dresden

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Research Fields:

• Stochastis simulation, inverse modelling and uncertainty analysis

• Evaluation und design of monitoring networks, data worth analysis,

• Model selection and Bayesian Model Averaging

• River-groundwater interacion in braided rivers (story map)

• Analysis and scaling of soil hydraulic parameters

© T. Wöhling

 Request a digital copy of the BMP book HERE.

Projektliste:

• a list of related projects can be found here.

Infrastructure:

• Access to the High Performance Computing Centre at TU Dresden as well as multi-core workstations as test environmens for parallel computing at the Chair of Hydrology
• Soil lab
• Isotope lab
  story map