Articles | Volume 8, issue 11
https://doi.org/10.5194/gmd-8-3681-2015
https://doi.org/10.5194/gmd-8-3681-2015
Model description paper
 | 
12 Nov 2015
Model description paper |  | 12 Nov 2015

GO2OGS 1.0: a versatile workflow to integrate complex geological information with fault data into numerical simulation models

T. Fischer, D. Naumov, S. Sattler, O. Kolditz, and M. Walther

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Cited articles

Ayachit, U.: The ParaView Guide Community Edition, United States of America: Kitware Inc., available at: http://www.paraview.org/paraview-guide/, last access: 10 August 2015.
BFN: Bundesamt fuer Naturschutz, Kartendienst Flussauen in Deutschland, available at: http://www.bfn.de/, last access: 5 February 2015.
Bilke, L., Fischer, T., Helbig, C., Krawczyk, C., Nagel, T., Naumov, D., Paulick, S., Rink, K., Sachse, A., Schelenz, S., Walther, M., Watanabe, N., Zehner, B., Ziesch, J., and Kolditz, O.: TESSIN VISLab-laboratory for scientific visualization, Environ. Earth Sci., 72, 3881–3899, https://doi.org/10.1007/s12665-014-3785-5, 2014.
Bourke, P.: GOCAD developer kit: ASCII file data format, available at: http://paulbourke.net/dataformats/gocad/gocad.pdf (last access: 12 October 2015), 2008.
de Hoyos, A., Viennot, P., Ledoux, E., Matray, J. M., Rocher, M., and Certes, C.: Influence of thermohaline effects on groundwater modelling – application to the Paris sedimentary Basin, J. Hydrol., 464–465, 12–26, https://doi.org/10.1016/j.jhydrol.2012.06.014, 2012.
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Short summary
We present a workflow to convert geological models into the open-source VTU format for usage in numerical simulation models. Tackling relevant scientific questions or engineering tasks often involves multidisciplinary approaches. Conversion workflows are needed between the diverse tools of the various disciplines. Our approach offers an open-source, platform-independent, robust, and comprehensible method that is potentially useful for a multitude of similar environmental studies.