Zusammenfassung

Decision-Support Modelling. What Happens Next?

Why Are We Here? Reflections and Murmurings from an Industry Perspective

Uncertainty Quantification for Subsurface Petroleum Reservoirs

From Data to Decisions: A Case Study

Utilizing Structured Decision-Making to Integrate Data, Modeling, and Science Into Policy Formulation and Implementation

Are Decisions Better with PEST? A Consultant’s Perspective from the Trenches.

The Subjective Nature of Priors and Some Repercussions of This.

Making Something Out of Nothing. The Art of Prior Building with Imprecise Data and Imperfect Models.

Revisiting Zimmerman et al. (1998) Twenty-Five Years Later: What lessons did we learn?

Smoothed Frequency Map of Technetium-99 Concentration Plumes Used as Target for Calibration of Fate and Transport Model

Light Speed Sensitivities Using Adjoint States with MODFLOW6

An Empirical Evaluation of Sequential and Batch Data Assimilation Approaches to Cope with Groundwater Model Error

Computationally Efficient Hypothesis Testing Using an Iterative Ensemble Smoother and Reproducible Workflows

Closed-Loop Decision-Support Modelling

Using Management Optimization Under Uncertainty to Support Groundwater Management in Island Aquifers: An Application in the Magdalen Islands (Canada)

Combining Weather Forecast and Groundwater Modeling Ensembles to Quantify Predictive Uncertainty Under Climate Change

Calibrating and Quantifying Uncertainty Using Multiple Lines of Evidence

A Bayesian Statistical Perspective on Calibrating Physics-based Groundwater Models

Capture Zone Analysis for Deep Groundwater Plumes: Addressing Uncertainty Using Multiple Lines of Evidence