New SFB 1313 publication, published in "Computational Geosciences". The work has been developed within the SFB 1313 research projects A02, A03, and D03.
Authors
- Farid Mohammadi (former SFB 1313 researcher, research project D03)
- Elissa Eggenweiler (University of Stuttgart, SFB 1313 associated researcher, research project A03)
- Bernd Flemisch (University of Stuttgart, SFB 1313 research project D03, project INF)
- Sergey Oladyshkin (University of Stuttgart, SFB 1313 research project D03)
- Iryna Rybak (University of Stuttgart, SFB 1313 research project A03)
- Martin Schneider (University of Stuttgart, SFB 1313 research project A02, project INF)
- Kilian Weishaupt (SFB 1313 associated researcher, research project A02)
Abstract
Existing model validation studies in geoscience often disregard or partly account for uncertainties in observations, model choices, and input parameters. In this work, we develop a statistical framework that incorporates a probabilistic modeling technique using a fully Bayesian approach to perform a quantitative uncertainty-aware validation. A Bayesian perspective on a validation task yields an optimal bias-variance trade-off against the reference data. It provides an integrative metric for model validation that incorporates parameter and conceptual uncertainty. Additionally, a surrogate modeling technique, namely Bayesian Sparse Polynomial Chaos Expansion, is employed to accelerate the computationally demanding Bayesian calibration and validation. We apply this validation framework to perform a comparative evaluation of models for coupling a free flow with a porous-medium flow. The correct choice of interface conditions and proper model parameters for such coupled flow systems is crucial for physically consistent modeling and accurate numerical simulations of applications. We develop a benchmark scenario that uses the Stokes equations to describe the free flow and considers different models for the porous-medium compartment and the coupling at the fluid–porous interface. These models include a porous-medium model using Darcy’s law at the representative elementary volume scale with classical or generalized interface conditions and a pore-network model with its related coupling approach. We study the coupled flow problems’ behaviors considering a benchmark case, where a pore-scale resolved model provides the reference solution. With the suggested framework, we perform sensitivity analysis, quantify the parametric uncertainties, demonstrate each model’s predictive capabilities, and make a probabilistic model comparison.

Farid Mohammadi
Dr.-Ing.Alumnus: Post-doctoral Researcher, Research Project D03

Elissa Eggenweiler
Alumna: Post-doctoral Researcher, Research Project A03

Bernd Flemisch
apl. Prof. Dr. rer. nat.Principal Investigator, Research Project D03