Articles | Volume 12, issue 6
https://doi.org/10.5194/gmd-12-2401-2019
https://doi.org/10.5194/gmd-12-2401-2019
Model description paper
 | 
18 Jun 2019
Model description paper |  | 18 Jun 2019

Challenges in developing a global gradient-based groundwater model (G3M v1.0) for the integration into a global hydrological model

Robert Reinecke, Laura Foglia, Steffen Mehl, Tim Trautmann, Denise Cáceres, and Petra Döll

Related authors

Software sustainability of global impact models
Emmanuel Nyenah, Petra Döll, Daniel S. Katz, and Robert Reinecke
Geosci. Model Dev. Discuss., https://doi.org/10.5194/gmd-2024-97,https://doi.org/10.5194/gmd-2024-97, 2024
Revised manuscript under review for GMD
Short summary
The global water resources and use model WaterGAP v2.2d: model description and evaluation
Hannes Müller Schmied, Denise Cáceres, Stephanie Eisner, Martina Flörke, Claudia Herbert, Christoph Niemann, Thedini Asali Peiris, Eklavyya Popat, Felix Theodor Portmann, Robert Reinecke, Maike Schumacher, Somayeh Shadkam, Camelia-Eliza Telteu, Tim Trautmann, and Petra Döll
Geosci. Model Dev., 14, 1037–1079, https://doi.org/10.5194/gmd-14-1037-2021,https://doi.org/10.5194/gmd-14-1037-2021, 2021
Short summary
Uncertainty of simulated groundwater recharge at different global warming levels: a global-scale multi-model ensemble study
Robert Reinecke, Hannes Müller Schmied, Tim Trautmann, Lauren Seaby Andersen, Peter Burek, Martina Flörke, Simon N. Gosling, Manolis Grillakis, Naota Hanasaki, Aristeidis Koutroulis, Yadu Pokhrel, Wim Thiery, Yoshihide Wada, Satoh Yusuke, and Petra Döll
Hydrol. Earth Syst. Sci., 25, 787–810, https://doi.org/10.5194/hess-25-787-2021,https://doi.org/10.5194/hess-25-787-2021, 2021
Short summary
Spatially distributed sensitivity of simulated global groundwater heads and flows to hydraulic conductivity, groundwater recharge, and surface water body parameterization
Robert Reinecke, Laura Foglia, Steffen Mehl, Jonathan D. Herman, Alexander Wachholz, Tim Trautmann, and Petra Döll
Hydrol. Earth Syst. Sci., 23, 4561–4582, https://doi.org/10.5194/hess-23-4561-2019,https://doi.org/10.5194/hess-23-4561-2019, 2019
Short summary
Impact of climate forcing uncertainty and human water use on global and continental water balance components
Hannes Müller Schmied, Linda Adam, Stephanie Eisner, Gabriel Fink, Martina Flörke, Hyungjun Kim, Taikan Oki, Felix Theodor Portmann, Robert Reinecke, Claudia Riedel, Qi Song, Jing Zhang, and Petra Döll
Proc. IAHS, 374, 53–62, https://doi.org/10.5194/piahs-374-53-2016,https://doi.org/10.5194/piahs-374-53-2016, 2016
Short summary

Related subject area

Hydrology
Prediction of hysteretic matric potential dynamics using artificial intelligence: application of autoencoder neural networks
Nedal Aqel, Lea Reusser, Stephan Margreth, Andrea Carminati, and Peter Lehmann
Geosci. Model Dev., 17, 6949–6966, https://doi.org/10.5194/gmd-17-6949-2024,https://doi.org/10.5194/gmd-17-6949-2024, 2024
Short summary
Regionalization in global hydrological models and its impact on runoff simulations: a case study using WaterGAP3 (v 1.0.0)
Jenny Kupzig, Nina Kupzig, and Martina Flörke
Geosci. Model Dev., 17, 6819–6846, https://doi.org/10.5194/gmd-17-6819-2024,https://doi.org/10.5194/gmd-17-6819-2024, 2024
Short summary
STORM v.2: A simple, stochastic rainfall model for exploring the impacts of climate and climate change at and near the land surface in gauged watersheds
Manuel F. Rios Gaona, Katerina Michaelides, and Michael Bliss Singer
Geosci. Model Dev., 17, 5387–5412, https://doi.org/10.5194/gmd-17-5387-2024,https://doi.org/10.5194/gmd-17-5387-2024, 2024
Short summary
Fluvial flood inundation and socio-economic impact model based on open data
Lukas Riedel, Thomas Röösli, Thomas Vogt, and David N. Bresch
Geosci. Model Dev., 17, 5291–5308, https://doi.org/10.5194/gmd-17-5291-2024,https://doi.org/10.5194/gmd-17-5291-2024, 2024
Short summary
RoGeR v3.0.5 – a process-based hydrological toolbox model in Python
Robin Schwemmle, Hannes Leistert, Andreas Steinbrich, and Markus Weiler
Geosci. Model Dev., 17, 5249–5262, https://doi.org/10.5194/gmd-17-5249-2024,https://doi.org/10.5194/gmd-17-5249-2024, 2024
Short summary

Cited articles

Allen, P. M., Arnold, J. C., and Byars, B. W.: Downstream channel geometry for use in planning-level models, J. Am. Water Resour. As., 30, 663–671, https://doi.org/10.1111/j.1752-1688.1994.tb03321.x, 1994. 
Belcher, W. R. (Ed.): Death Valley Regional Ground-water Flow System, Nevada and California-Hydrogeologic Framework and Transient Ground-water Flow Model, U.S. Geological Survey Professional Paper, 408 pp., available at: https://pubs.usgs.gov/sir/2004/5205/ (last access: 1 June 2019), 2004. 
Belcher, W. R. and Sweetkind, D. S.: Death Valley regional groundwater flow system, Nevada and California – Hydrogeologic framework and transient groundwater flow model, U.S. Geological Survey Professional Paper 1711, 398 pp., available at: https://pubs.usgs.gov/pp/1711/ (last access: 1 June 2019), 2010. 
Costa, A. C., Foerster, S., de Araújo, J. C., and Bronstert, A.: Analysis of channel transmission losses in a dryland river reach in north-eastern Brazil using streamflow series, groundwater level series and multi-temporal satellite data, Hydrol. Process., 27, 1046–1060, https://doi.org/10.1002/hyp.9243, 2013. 
de Graaf, I. E. M., Sutanudjaja, E. H., van Beek, L. P. H., and Bierkens, M. F. P.: A high-resolution global-scale groundwater model, Hydrol. Earth Syst. Sci., 19, 823–837, https://doi.org/10.5194/hess-19-823-2015, 2015. 
Download
Short summary
G³M is a new global groundwater model (http://globalgroundwatermodel.org) that simulates lateral and vertical flows as well as exchanges with surface water bodies like rivers, lakes, and wetlands for the whole globe except Antarctica and Greenland. The newly developed model framework enables an efficient integration into established global hydrological models. This paper presents the G³M concept and specific model design decisions together with first results under a naturalized equilibrium.