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HESS | Articles | Volume 22, issue 10
Hydrol. Earth Syst. Sci., 22, 5485–5508, 2018
https://doi.org/10.5194/hess-22-5485-2018
© Author(s) 2018. This work is distributed under
the Creative Commons Attribution 4.0 License.
Hydrol. Earth Syst. Sci., 22, 5485–5508, 2018
https://doi.org/10.5194/hess-22-5485-2018
© Author(s) 2018. This work is distributed under
the Creative Commons Attribution 4.0 License.

Research article 24 Oct 2018

Research article | 24 Oct 2018

Contributions to uncertainty related to hydrostratigraphic modeling using multiple-point statistics

Adrian A. S. Barfod et al.

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Cited articles

Auken, E., Christansen, A. V., Westergaard, J. H., Kirkegaard, C., Foged, N., and Viezzoli, A.: An integrated processing scheme for high-resolution airborne electromagnetic surveys, the SkyTEM system, Explor. Geophys., 40, 184–192, https://doi.org/10.1071/EG08128, 2009. 
Barfod, A. A. S., Møller, I., and Christansen, A. V.: Compiling a national resistivity atlas of Denmark based on airborne and ground-based transient electromagnetic data, J. Appl. Geophys., 134, 199–209, https://doi.org/10.1016/j.jappgeo.2016.09.017, 2016. 
Barfod, A. A. S., Møller, I., Christiansen, A. V., Høyer, A.-S., Hoffimann, J., Straubhaar, J., and Caers, J.: Hydrostratigraphic modeling using multiple-point statistics and airborne transient electromagnetic methods, Hydrol. Earth Syst. Sci., 22, 3351–3373, https://doi.org/10.5194/hess-22-3351-2018, 2018. 
Christensen, N. K., Minsley, B. J., and Christensen, S.: Generation of 3-D hydrostratigraphic zones from dense airborne electromagnetic data to assess groundwater model prediction error, Water Resour. Res., 53, 1019–1038, https://doi.org/10.1002/2016WR019141, 2017. 
Chugunova, T. and Hu, L. Y.: Multiple-Point Simulations Constrained by Continuous Auxiliary Data, Math. Geosci., 40, 133–146, https://doi.org/10.1007/s11004-007-9142-4, 2008. 
Publications Copernicus
Short summary
The focus of this study is on the uncertainty related to using multiple-point statistics (MPS) for stochastic modeling of the upper 200 m of the subsurface. The main research goal is to showcase how MPS methods can be used on real-world hydrogeophysical data and show how the uncertainty related to changing the underlying MPS setup propagates into the finalized 3-D subsurface models.
The focus of this study is on the uncertainty related to using multiple-point statistics (MPS)...
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