Papers
This list is far from complete. We will add to it over time. Let us know of anything that you think should be included. See also GMDSI monographs.
Delottier, H., Doherty, J. and Brunner, P., 2023. Data space inversion for efficient uncertainty quantification using an integrated surface and subsurface hydrologic model. Geoscientific model development. v16 (14), 4213-4231. https://gmd.copernicus.org/articles/16/4213/2023/
Doherty, J. and Simmons, C.T., 2013. Groundwater modelling in decision support: reflections on a unified conceptual framework. Hydrogeology Journal 21: 1531–1537
Doherty, J. and Moore, C., 2020. Decision support modelling: data assimilation, uncertainty quantification and strategic abstraction. Groundwater, 58(3), 327-337. https://doi.org/10.1111/gwat.12969
Fienen, M.N., White, J.T., Hayek, M., 2024. Parameter estimation with the Gauss-Levenberg-Marquardt algorithm: an intuitive guide. Groundwater, https://ngwa.onlinelibrary.wiley.com/doi/10.1111/gwat.13433
Haley, L., Schumacher, J., MacMillan, G.J. and Boutin, L.C., 2014. Highly parameterized model calibration with cloud computing: an example of regional flow model calibration in northeast Alberta, Canada. Hydrogeology Journal. 22(3):729-737. https://doi.org/10.1007/s10040-014-1110-8
Haley, K., Valenza, A., White, E., Hutchison, B. and Schumacher, J., 2019. Application of the iterative ensemble smoother method and cloud computing: a groundwater modelling case study. Water, 11 (8), 1649. https://doi.org/10.3390/w11081649
Hugman, R. and Doherty, J., 2022. Complex or simple – does it have to be one or the other? Front. Earth. Sci., V10, https://www.frontiersin.org/journals/earth-science/articles/10.3389/feart.2022.867379/full
Hugman, R. Lotti, F. and Doherty, J., 2022. Probabilistic contaminant source assessment – getting the most out of field measurements. Groundwater, 61(3), 363-374. https://ngwa.onlinelibrary.wiley.com/doi/full/10.1111/gwat.13246
Manewell, N., Doherty, J. and Hayes, P., 2023. Spatial averaging implied in aquifer test interpretation: the meaning of estimated hydraulic properties. Front. Earth Sci. v10. https://www.frontiersin.org/journals/earth-science/articles/10.3389/feart.2022.1079287/full
Manewell, N., Doherty, J. and Hayes, P., 2023. Translating pumping test data into groundwater model parameters: a workflow to reveal aquifer heterogeneities and implications in regional model parameterisation. Frontiers in Water https://www.frontiersin.org/journals/water/articles/10.3389/frwa.2023.1334022/full
White, J.T., 2018. A model-independent iterative ensemble smoother for efficient history-matching and uncertainty quantification in very high dimensions. Environmental modelling and software. 109:191-201. https://doi.org/10.1016/j.envsoft.2018.06.009