J Doherty, C Moore - Groundwater, 2020 - Wiley Online Library
We present a framework for design and deployment of decision support modeling based on metrics which have their roots in the scientific method. Application of these metrics to …
P Brunner, J Doherty… - Water Resources Research, 2012 - Wiley Online Library
The data set used for calibration of regional numerical models which simulate groundwater flow and vadose zone processes is often dominated by head observations. It is to be …
J Omagbon, J Doherty, A Yeh, R Colina, J O'Sullivan… - Geothermics, 2021 - Elsevier
We present case studies on two methods for quantifying uncertainty in predictions for highly parameterised geothermal models. One method is fully linear, while the other is nonlinear as …
H Delottier, J Doherty, P Brunner - Geoscientific Model …, 2023 - gmd.copernicus.org
It is incumbent on decision-support hydrological modelling to make predictions of uncertain quantities in a decision-support context. In implementing decision-support modelling, data …
A null‐space Monte‐Carlo (NSMC) approach was applied to account for uncertainty in the calibration of the hydraulic conductivity (K) field for a three‐dimensional groundwater flow …
In 1988, an important publication moved model calibration and forecasting beyond case studies and theoretical analysis. It reported on a somewhat idyllic graduate student …
Bayesian inference provides a mathematically elegant and robust approach to constrain numerical model predictions with system knowledge and observations. Technical …
Numerical models are now commonly used to define guidelines for the sustainable management of groundwater resources. Despite significant advances in inverse modeling …
The ability of groundwater models to inform recharge through calibration is hampered by the correlation between recharge and aquifer parameters such as hydraulic conductivity (K) …