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An Open, Object‐Based Framework for Generating Anisotropy in Sedimentary Subsurface Models, , , and . Groundwater, 57 (3): 420-429 (2019)A stochastic framework to optimize monitoring strategies for delineating groundwater divides, , , , and . Frontiers in Earth Science, (2020)Strategies for Simplifying Reactive Transport Models : A Bayesian Model Comparison, , , , and . Water resources research, 56 (11): e2020WR028100 (2020)The Impact of Sedimentary Anisotropy on Solute Mixing in Stacked Scour‐Pool Structures, , and . Water Resources Research, 53 (4): 2813-2832 (2017)Estimating Climate-change Effects on a Mediterranean Catchment Under Various Irrigation Conditions, , , , , and . Journal of Hydrology: Regional Studies, (2015)The value of simplified models for spin up of complex models with an application to subsurface hydrology., , , and . Computers & Geosciences, (2019)A Stochastic Framework to Optimize the Monitoring Strategy for the Delineation of a Groundwater Divide, , , , and . EGU General Assembly 2020, page EGU2020-6907. Copernicus GmbH, (2020)A Stochastic Framework to Optimize Monitoring Strategies for Delineating Groundwater Divides, , , , and . Frontiers in Earth Science, (2020)Optimal monitoring strategies for minimal uncertainties about a groundwater divide, , , , and . SIAM Conference on Uncertainty Quantification (UQ20), (March 2020)Efficient parallelization of geostatistical inversion using the quasi-linear approach., , , , , and . Computers & Geosciences, (2012)