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Articles

The Effect of Available Data on the Worth of Future Observations for Groundwater Modeling

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By Max Rudolph, Thomas Wöhling, Thorsten Wagener, Andreas Hartmann
| Wiley Online Library Verified
1 Introduction To meet current water-related challenges, we have to consider computational models, the acquisition of observation data, and the optimal exploitation of such data in a combined manner.
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[2401.13127] Generalization of Heterogeneous Multi-Robot Policies via Awareness and Communication of Capabilities

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By Max Rudolph, Kevin Fu, Reza Torbati, Harish Ravichandar
| arXiv
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CFPy-A Python Package for Pre‐ and Postprocessing of the Conduit Flow Process of MODFLOW

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By Thomas Reimann, Max Rudolph, Leonard Grabow, Torsten Noffz
| Wiley Online Library Verified
Abstract The conduit flow process (CFP) for MODFLOW's groundwater flow model is an advanced approach for investigating complex groundwater systems, such as karst, with coupled discrete-continuum models. CFP represents laminar and turbulent flow in a discrete pipe network coupled to a matrix continuum. However, the preprocessing demand is comparatively high to generate the conduit network and is usually performed with graphical user interfaces.
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