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\begin{document}

\title{It's all about scale: impact of uncertainty in surface water elevation
and effects of grid size on water table depth in global groundwater
modeling}



\author[1]{Robert Reinecke}%
\author[2]{Alexander Wachholz}%
\author[3]{Laura Foglia}%
\author[4]{Steffen Mehl}%
\author[1]{Christoph Niemann}%
\author[5]{Petra Doll}%
\affil[1]{Goethe University Frankfurt}%
\affil[2]{Goethe University Frankfurt-Main}%
\affil[3]{University of California Davis}%
\affil[4]{CSU Chico}%
\affil[5]{Univ Franfurt/Main}%


\vspace{-1em}



  
  \date{June 18, 2024}


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\begin{abstract}
Continental and global-scale groundwater models have been proposed
recently to complete and improve the simulation of the hydrologic cycle.
This development is still impeded by the resolution of these models
either due to data availability and/or computational demands. One of the
major challenges is determining the location of surface water bodies on
the global scale based on land surface elevation data, as surface water
elevation directly influences the model results. Closely connected to
this problem is the comparison of simulated model results to
observations of depth to groundwater. The models calculate hydraulic
head so depth to groundwater is heavily influenced by how the variation
in topography is reflected in one computational cell. This presentation
demonstrates by means of the newly developed global groundwater model
G\selectlanguage{ngerman}³M that depth to groundwater observations need to be contemplated in
the context of the elevation of the surface water bodies to draw proper
conclusions on the model performance. The impact of uncertainty in
surface water body elevation is illustrated based on multiple grid size
experiments (5 arcmin, 30 arcsec, and 3 arcsec resolution) for New
Zealand.%
\end{abstract}\selectlanguage{ngerman}%



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