Articles | Volume 29, issue 13
https://doi.org/10.5194/hess-29-2925-2025
© Author(s) 2025. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/hess-29-2925-2025
© Author(s) 2025. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Research article
| 
11 Jul 2025
Research article |
| 11 Jul 2025
| 11 Jul 2025
Groundwater head responses to droughts across Germany
Department of Hydrogeology, Helmholtz Centre for Environmental Research – UFZ, Leipzig, Germany
Andreas Musolff
Department of Hydrogeology, Helmholtz Centre for Environmental Research – UFZ, Leipzig, Germany
Rohini Kumar
Department of Computational Hydrosystems, Helmholtz Centre for Environmental Research – UFZ, Leipzig, Germany
Andreas Hartmann
Institute of Groundwater Management, Technical University Dresden, Dresden, Germany
Jan H. Fleckenstein
Department of Hydrogeology, Helmholtz Centre for Environmental Research – UFZ, Leipzig, Germany
Bayreuth Center of Ecology and Environmental Research (BayCEER), University of Bayreuth, Bayreuth, Germany
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Hydrol. Earth Syst. Sci., 27, 255–287, https://doi.org/10.5194/hess-27-255-2023, https://doi.org/10.5194/hess-27-255-2023, 2023
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Felipe A. Saavedra, Andreas Musolff, Jana von Freyberg, Ralf Merz, Stefano Basso, and Larisa Tarasova
Hydrol. Earth Syst. Sci., 26, 6227–6245, https://doi.org/10.5194/hess-26-6227-2022, https://doi.org/10.5194/hess-26-6227-2022, 2022
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Tunde Olarinoye, Tom Gleeson, and Andreas Hartmann
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Yan Liu, Jaime Fernández-Ortega, Matías Mudarra, and Andreas Hartmann
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Friedrich Boeing, Oldrich Rakovec, Rohini Kumar, Luis Samaniego, Martin Schrön, Anke Hildebrandt, Corinna Rebmann, Stephan Thober, Sebastian Müller, Steffen Zacharias, Heye Bogena, Katrin Schneider, Ralf Kiese, Sabine Attinger, and Andreas Marx
Hydrol. Earth Syst. Sci., 26, 5137–5161, https://doi.org/10.5194/hess-26-5137-2022, https://doi.org/10.5194/hess-26-5137-2022, 2022
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Jie Yang, Qiaoyu Wang, Ingo Heidbüchel, Chunhui Lu, Yueqing Xie, Andreas Musolff, and Jan H. Fleckenstein
Hydrol. Earth Syst. Sci., 26, 5051–5068, https://doi.org/10.5194/hess-26-5051-2022, https://doi.org/10.5194/hess-26-5051-2022, 2022
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We assessed the effect of catchment topographic slopes on the nitrate export dynamics in terms of the nitrogen mass fluxes and concentration level using a coupled surface–subsurface model. We found that flatter landscapes tend to retain more nitrogen mass in the soil and export less nitrogen mass to the stream, explained by the reduced leaching and increased potential of degradation in flat landscapes. We emphasized that stream water quality is potentially less vulnerable in flatter landscapes.
Bahar Bahrami, Anke Hildebrandt, Stephan Thober, Corinna Rebmann, Rico Fischer, Luis Samaniego, Oldrich Rakovec, and Rohini Kumar
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Sadaf Nasreen, Markéta Součková, Mijael Rodrigo Vargas Godoy, Ujjwal Singh, Yannis Markonis, Rohini Kumar, Oldrich Rakovec, and Martin Hanel
Earth Syst. Sci. Data, 14, 4035–4056, https://doi.org/10.5194/essd-14-4035-2022, https://doi.org/10.5194/essd-14-4035-2022, 2022
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Pia Ebeling, Rohini Kumar, Stefanie R. Lutz, Tam Nguyen, Fanny Sarrazin, Michael Weber, Olaf Büttner, Sabine Attinger, and Andreas Musolff
Earth Syst. Sci. Data, 14, 3715–3741, https://doi.org/10.5194/essd-14-3715-2022, https://doi.org/10.5194/essd-14-3715-2022, 2022
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Guilherme E. H. Nogueira, Christian Schmidt, Daniel Partington, Philip Brunner, and Jan H. Fleckenstein
Hydrol. Earth Syst. Sci., 26, 1883–1905, https://doi.org/10.5194/hess-26-1883-2022, https://doi.org/10.5194/hess-26-1883-2022, 2022
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In near-stream aquifers, mixing between stream water and ambient groundwater can lead to dilution and the removal of substances that can be harmful to the water ecosystem at high concentrations. We used a numerical model to track the spatiotemporal evolution of different water sources and their mixing around a stream, which are rather difficult in the field. Results show that mixing mainly develops as narrow spots, varying In time and space, and is affected by magnitudes of discharge events.
Yong Chang, Benjamin Mewes, and Andreas Hartmann
Hydrol. Earth Syst. Sci. Discuss., https://doi.org/10.5194/hess-2022-77, https://doi.org/10.5194/hess-2022-77, 2022
Revised manuscript not accepted
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This study presents a work to investigate the feasibility of using EC to predict the discharge in a typical karst catchment. We found that the spring discharge can be well predicted by EC in storms using LSTM (Long Short Term Memory) model, while the prediction has relatively large uncertainties in small recharge events. To establish a roust LSTM model for long-term discharge prediction from EC in ungauged catchments, the random or fixed-interval discharge monitoring strategy is recommended.
Robert Schweppe, Stephan Thober, Sebastian Müller, Matthias Kelbling, Rohini Kumar, Sabine Attinger, and Luis Samaniego
Geosci. Model Dev., 15, 859–882, https://doi.org/10.5194/gmd-15-859-2022, https://doi.org/10.5194/gmd-15-859-2022, 2022
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The recently released multiscale parameter regionalization (MPR) tool enables
environmental modelers to efficiently use extensive datasets for model setups.
It flexibly ingests the datasets using user-defined data–parameter relationships
and rescales parameter fields to given model resolutions. Modern
land surface models especially benefit from MPR through increased transparency and
flexibility in modeling decisions. Thus, MPR empowers more sound and robust
simulations of the Earth system.
Joni Dehaspe, Fanny Sarrazin, Rohini Kumar, Jan H. Fleckenstein, and Andreas Musolff
Hydrol. Earth Syst. Sci., 25, 6437–6463, https://doi.org/10.5194/hess-25-6437-2021, https://doi.org/10.5194/hess-25-6437-2021, 2021
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Increased nitrate concentrations in surface waters can compromise river ecosystem health. As riverine nitrate uptake is hard to measure, we explore how low-frequency nitrate concentration and discharge observations (that are widely available) can help to identify (in)efficient uptake in river networks. We find that channel geometry and water velocity rather than the biological uptake capacity dominate the nitrate-discharge pattern at the outlet. The former can be used to predict uptake.
Tom Gleeson, Thorsten Wagener, Petra Döll, Samuel C. Zipper, Charles West, Yoshihide Wada, Richard Taylor, Bridget Scanlon, Rafael Rosolem, Shams Rahman, Nurudeen Oshinlaja, Reed Maxwell, Min-Hui Lo, Hyungjun Kim, Mary Hill, Andreas Hartmann, Graham Fogg, James S. Famiglietti, Agnès Ducharne, Inge de Graaf, Mark Cuthbert, Laura Condon, Etienne Bresciani, and Marc F. P. Bierkens
Geosci. Model Dev., 14, 7545–7571, https://doi.org/10.5194/gmd-14-7545-2021, https://doi.org/10.5194/gmd-14-7545-2021, 2021
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Groundwater is increasingly being included in large-scale (continental to global) land surface and hydrologic simulations. However, it is challenging to evaluate these simulations because groundwater is
hiddenunderground and thus hard to measure. We suggest using multiple complementary strategies to assess the performance of a model (
model evaluation).
Benedikt J. Werner, Oliver J. Lechtenfeld, Andreas Musolff, Gerrit H. de Rooij, Jie Yang, Ralf Gründling, Ulrike Werban, and Jan H. Fleckenstein
Hydrol. Earth Syst. Sci., 25, 6067–6086, https://doi.org/10.5194/hess-25-6067-2021, https://doi.org/10.5194/hess-25-6067-2021, 2021
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Export of dissolved organic carbon (DOC) from riparian zones (RZs) is an important yet poorly understood component of the catchment carbon budget. This study chemically and spatially classifies DOC source zones within a RZ of a small catchment to assess DOC export patterns. Results highlight that DOC export from only a small fraction of the RZ with distinct DOC composition dominates overall DOC export. The application of a spatial, topographic proxy can be used to improve DOC export models.
Katharina Blaurock, Burkhard Beudert, Benjamin S. Gilfedder, Jan H. Fleckenstein, Stefan Peiffer, and Luisa Hopp
Hydrol. Earth Syst. Sci., 25, 5133–5151, https://doi.org/10.5194/hess-25-5133-2021, https://doi.org/10.5194/hess-25-5133-2021, 2021
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Dissolved organic carbon (DOC) is an important part of the global carbon cycle with regards to carbon storage, greenhouse gas emissions and drinking water treatment. In this study, we compared DOC export of a small, forested catchment during precipitation events after dry and wet preconditions. We found that the DOC export from areas that are usually important for DOC export was inhibited after long drought periods.
Tesfalem Abraham, Yan Liu, Sirak Tekleab, and Andreas Hartmann
Hydrol. Earth Syst. Sci. Discuss., https://doi.org/10.5194/hess-2021-271, https://doi.org/10.5194/hess-2021-271, 2021
Preprint withdrawn
Short summary
Short summary
In this study we demonstrate the use of global data products for the regionalization of model parameters. We combine three steps of uncertainty quantification from the parameter sampling, best parameter sets identification, and spatial cross-validation. Our results show the best validation parameters provide the most robust regionalization results, and the uncertainties from the regionalization in the ungauged catchments are higher than those obtained from simulations in the gauged catchments.
Cited articles
Bachmair, S., Stahl, K., Collins, K., Hannaford, J., Acreman, M., Svoboda, M., Knutson, C., Smith, K. H., Wall, N., Fuchs, B., Crossman, N. D., and Overton, I. C.: Drought indicators revisited: the need for a wider consideration of environment and society, WIREs Water, 3, 516–536, https://doi.org/10.1002/wat2.1154, 2016.
Barthel, R., Haaf, E., Giese, M., Nygren, M., Heudorfer, B., and Stahl, K.: Similarity-based approaches in hydrogeology: proposal of a new concept for data-scarce groundwater resource characterization and prediction, Hydrogeol. J., 29, 1693–1709, https://doi.org/10.1007/s10040-021-02358-4, 2021.
Bartsch, S., Frei, S., Ruidisch, M., Shope, C. L., Peiffer, S., Kim, B., and Fleckenstein, J. H.: River-aquifer exchange fluxes under monsoonal climate conditions, J. Hydrol., 509, 601–614, https://doi.org/10.1016/j.jhydrol.2013.12.005, 2014.
Belitz, K., Moore, R. B., Arnold, T. L., Sharpe, J. B., and Starn, J. J.: Multiorder Hydrologic Position in the Conterminous United States: A Set of Metrics in Support of Groundwater Mapping at Regional and National Scales, Water Resour. Res., 55, 11188–11207, https://doi.org/10.1029/2019WR025908, 2019.
Berghuijs, W. R., Collenteur, R. A., Jasechko, S., Jaramillo, F., Luijendijk, E., Moeck, C., van der Velde, Y., and Allen, S. T.: Groundwater recharge is sensitive to changing long-term aridity, Nat. Clim. Change, 14, 357–363, https://doi.org/10.1038/s41558-024-01953-z, 2024.
Beven, K. J. and Kirkby, M. J.: A physically based, variable contributing area model of basin hydrology / Un modèle à base physique de zone d'appel variable de l'hydrologie du bassin versant, Hydrol. Sci. Bull., 24, 43–69, https://doi.org/10.1080/02626667909491834, 1979.
BGR: Hydrogeologie von Deutschland 1:1 000 000 (HY1000), Digital map data v1 [data set], https://geoportal.bgr.de/mapapps/resources/apps/geoportal/index.html?lang=de#/datasets/portal/53656EEE-00DC-4C65-ABDA-F097F86ACC20 (last access: 8 July 2025), 2019.
BGR: International Hydrogeological Map of Europe 1: 1 500 000 (IHME1500). Digital map data v1.1., http://www.bgr.bund.de/ihme1500/ (last access: 8 July 2025), 2014.
BGR and SGD: Hydrogeologische Übersichtskarte von Deutschland 1:200 000, Oberer Grundwasserleiter (HÜK200 OGWL) Digitaler Datenbestand, Version 3.0., https://www.bgr.bund.de/huek200 (last access: 8 July 2025), 2016.
Bikše, J., Retike, I., Haaf, E., and Kalvāns, A.: Assessing automated gap imputation of regional scale groundwater level data sets with typical gap patterns, J. Hydrol., 620, 129424, https://doi.org/10.1016/j.jhydrol.2023.129424, 2023.
Blauhut, V., Stoelzle, M., Ahopelto, L., Brunner, M. I., Teutschbein, C., Wendt, D. E., Akstinas, V., Bakke, S. J., Barker, L. J., Bartošová, L., Briede, A., Cammalleri, C., Kalin, K. C., De Stefano, L., Fendeková, M., Finger, D. C., Huysmans, M., Ivanov, M., Jaagus, J., Jakubínský, J., Krakovska, S., Laaha, G., Lakatos, M., Manevski, K., Neumann Andersen, M., Nikolova, N., Osuch, M., van Oel, P., Radeva, K., Romanowicz, R. J., Toth, E., Trnka, M., Urošev, M., Urquijo Reguera, J., Sauquet, E., Stevkov, A., Tallaksen, L. M., Trofimova, I., Van Loon, A. F., van Vliet, M. T. H., Vidal, J.-P., Wanders, N., Werner, M., Willems, P., and Živković, N.: Lessons from the 2018–2019 European droughts: a collective need for unifying drought risk management, Nat. Hazards Earth Syst. Sci., 22, 2201–2217, https://doi.org/10.5194/nhess-22-2201-2022, 2022.
Bloomfield, J. P. and Marchant, B. P.: Analysis of groundwater drought building on the standardised precipitation index approach, Hydrol. Earth Syst. Sci., 17, 4769–4787, https://doi.org/10.5194/hess-17-4769-2013, 2013.
Bloomfield, J. P., Marchant, B. P., Bricker, S. H., and Morgan, R. B.: Regional analysis of groundwater droughts using hydrograph classification, Hydrol. Earth Syst. Sci., 19, 4327–4344, https://doi.org/10.5194/hess-19-4327-2015, 2015.
Boeing, F., Rakovec, O., Kumar, R., Samaniego, L., Schrön, M., Hildebrandt, A., Rebmann, C., Thober, S., Müller, S., Zacharias, S., Bogena, H., Schneider, K., Kiese, R., Attinger, S., and Marx, A.: High-resolution drought simulations and comparison to soil moisture observations in Germany, Hydrol. Earth Syst. Sci., 26, 5137–5161, https://doi.org/10.5194/hess-26-5137-2022, 2022.
Brakkee, E., van Huijgevoort, M. H. J., and Bartholomeus, R. P.: Improved understanding of regional groundwater drought development through time series modelling: the 2018–2019 drought in the Netherlands, Hydrol. Earth Syst. Sci., 26, 551–569, https://doi.org/10.5194/hess-26-551-2022, 2022.
Breiman, L.: Random Forests, Mach. Learn., 45, 5-32, https://doi.org/10.1023/a:1010933404324, 2001.
Chávez García Silva, R., Reinecke, R., Copty, N. K., Barry, D. A., Heggy, E., Labat, D., Roggero, P. P., Borchardt, D., Rode, M., Gómez-Hernández, J. J., and Jomaa, S.: Multi-decadal groundwater observations reveal surprisingly stable levels in southwestern Europe. Commun. Earth Environ. 5, 387, https://doi.org/10.1038/s43247-024-01554-w, 2024.
Christian, J. I., Martin, E. R., Basara, J. B., Furtado, J. C., Otkin, J. A., Lowman, L. E. L., Hunt, E. D., Mishra, V., and Xiao, X.: Global projections of flash drought show increased risk in a warming climate, Commun. Earth Environ., 4, 165, https://doi.org/10.1038/s43247-023-00826-1, 2023.
Cuthbert, M. O., Gleeson, T., Moosdorf, N., Befus, K. M., Schneider, A., Hartmann, J., and Lehner, B.: Global patterns and dynamics of climate–groundwater interactions, Nat. Clim. Change, 9, 137–141, https://doi.org/10.1038/s41558-018-0386-4, 2019.
Donheiser, M.: Monatliche Grundwasserstände in Deutschland 1990–2021, Github [data set], https://github.com/correctiv/grundwasser-data, 2022.
Ebeling, P.: Groundwater droughts data of 6626 wells in Germany, HydroShare [data set], https://doi.org/10.4211/hs.f0f661457b5e42288378b13ad0951d90, 2025.
Ebeling, P., Kumar, R., Lutz, S. R., Nguyen, T., Sarrazin, F., Weber, M., Büttner, O., Attinger, S., and Musolff, A.: QUADICA: water QUAlity, DIscharge and Catchment Attributes for large-sample studies in Germany, Earth Syst. Sci. Data, 14, 3715–3741, https://doi.org/10.5194/essd-14-3715-2022, 2022.
EEA: DEM over Europe from the GMES RDA project (EU-DEM, resolution 25 m) – version 1, https://sdi.eea.europa.eu/catalogue/eea/api/records/66fa7dca-8772-4a5d-9d56-2caba4ecd36a (last access: 9 August 2022), 2013.
EEA: CORINE Land Cover 1990 (raster 100 m), Europe, 6-yearly – version 2020_20u1, https://doi.org/10.2909/c89324ef-7729-4477-9f1b-623f5f88eaa1, 2019a.
EEA: CORINE Land Cover 2018 (raster 100 m), Europe, 6-yearly – version 2020_20u1, https://doi.org/10.2909/960998c1-1870-4e82-8051-6485205ebbac, 2019b.
EEA: EU-Hydro River Network Database 2006-2012 (vector), Europe – version 1.3, https://doi.org/10.2909/393359a7-7ebd-4a52-80ac-1a18d5f3db9c, 2020.
EEA: Riparian Zones Land Cover/Land Use 2018 (vector), Europe, 6-yearly – version 1.5, https://doi.org/10.2909/2afca4ec-76e2-4155-b4e6-7460f9f6ae01, 2021.
Entekhabi, D.: Propagation in the Drought Cascade: Observational Analysis Over the Continental US, Water Resour. Res., 59, e2022WR032608, https://doi.org/10.1029/2022wr032608, 2023.
Fontrodona Bach, A., Schrier, G. van der, Melsen, L. A., Klein Tank, A. M. G., and Teuling, A. J.: Widespread and Accelerated Decrease of Observed Mean and Extreme Snow Depth Over Europe, Geophys. Res. Lett., 45, 12312–12319, https://doi.org/10.1029/2018GL079799, 2018.
Frommen, T. and Moss, T.: Pasts and Presents of Urban Socio-Hydrogeology: Groundwater Levels in Berlin, 1870–2020, Water, 13, 2261, https://doi.org/10.3390/w13162261, 2021.
Gianni, G., Richon, J., Perrochet, P., Vogel, A., and Brunner, P.: Rapid identification of transience in streambed conductance by inversion of floodwave responses, Water Resour. Res., 52, 2647–2658, https://doi.org/10.1002/2015WR017154, 2016.
Haaf, E., Giese, M., Heudorfer, B., Stahl, K., and Barthel, R.: Physiographic and Climatic Controls on Regional Groundwater Dynamics, Water Resour. Res., 56, e2019WR026545, https://doi.org/10.1029/2019WR026545, 2020.
Haaf, E., Giese, M., Reimann, T., and Barthel, R.: Data-Driven Estimation of Groundwater Level Time-Series at Unmonitored Sites Using Comparative Regional Analysis, Water Resour. Res., 59, e2022WR033470, https://doi.org/10.1029/2022WR033470, 2023.
Haitjema, H. M. and Mitchell-Bruker, S.: Are water tables a subdued replica of the topography?, Ground Water, 43, 781–6, https://doi.org/10.1111/j.1745-6584.2005.00090.x, 2005.
Hargreaves, G. H. and Samani, Z. A.: Reference Crop Evapotranspiration from Temperature, Appl. Eng. Agr., 1, 96–99, https://doi.org/10.13031/2013.26773, 1985.
Hari, V., Rakovec, O., Markonis, Y., Hanel, M., and Kumar, R.: Increased future occurrences of the exceptional 2018–2019 Central European drought under global warming, Sci. Rep., 10, 12207, https://doi.org/10.1038/s41598-020-68872-9, 2020.
Hellwig, J. and Stahl, K.: An assessment of trends and potential future changes in groundwater-baseflow drought based on catchment response times, Hydrol. Earth Syst. Sci., 22, 6209–6224, https://doi.org/10.5194/hess-22-6209-2018, 2018.
Hellwig, J., Graaf, I. E. M. de, Weiler, M., and Stahl, K.: Large-Scale Assessment of Delayed Groundwater Responses to Drought, Water Resour. Res., 56, e2019WR025441, https://doi.org/10.1029/2019WR025441, 2020.
Hellwig, J., Stoelzle, M., and Stahl, K.: Groundwater and baseflow drought responses to synthetic recharge stress tests, Hydrol. Earth Syst. Sci., 25, 1053–1068, https://doi.org/10.5194/hess-25-1053-2021, 2021.
Heudorfer, B., Haaf, E., Stahl, K., and Barthel, R.: Index-Based Characterization and Quantification of Groundwater Dynamics, Water Resour. Res., 55, 5575–5592, https://doi.org/10.1029/2018WR024418, 2019.
Hosseinzadehtalaei, P., Tabari, H., and Willems, P.: Climate change impact on short-duration extreme precipitation and intensity-duration-frequency curves over Europe, J. Hydrol., 590, 125249, https://doi.org/10.1016/j.jhydrol.2020.125249, 2020.
Hyndman, R. and Khandakar, Y.: Automatic time series forecasting: the forecast package for R, J. Stat. Softw., 26, 1–22, https://doi.org/10.18637/jss.v027.i03, 2008.
Hyndman, R., Athanasopoulos, G., Bergmeir, C., Caceres, G., Chhay, L., O'Hara-Wild, M., Petropoulos, F., Razbash, S., Wang, E., and Yasmeen, F.: forecast: Forecasting functions for time series and linear models, R package version 8.21, https://pkg.robjhyndman.com/forecast/ (last access: 8 July 2025), 2023.
IPCC: Climate Change 2021 – The Physical Science Basis: Working Group I Contribution to the Sixth Assessment Report of the Intergovernmental Panel on Climate Change, Cambridge University Press, Cambridge, https://doi.org/10.1017/9781009157896, 2023.
Ionita, M. and Nagavciuc, V.: Changes in drought features at the European level over the last 120 years, Nat. Hazards Earth Syst. Sci., 21, 1685–1701, https://doi.org/10.5194/nhess-21-1685-2021, 2021.
Jasechko, S., Seybold, H., Perrone, D., Fan, Y., Shamsudduha, M., Taylor, R. G., Fallatah, O., and Kirchner, J. W.: Rapid groundwater decline and some cases of recovery in aquifers globally, Nature, 625, 715–721, https://doi.org/10.1038/s41586-023-06879-8, 2024.
Joeres, A., Steeger, G., Huth, K., Donheiser, M., and Wörpel, S.: Wo in Deutschland das Grundwasser sinkt, https://correctiv.org/aktuelles/kampf-um-wasser/2022/10/25/klimawandel-grundwasser-in-deutschland-sinkt/ (last access: 8 July 2025), 2022.
Kumar, R., Musuuza, J. L., Van Loon, A. F., Teuling, A. J., Barthel, R., Ten Broek, J., Mai, J., Samaniego, L., and Attinger, S.: Multiscale evaluation of the Standardized Precipitation Index as a groundwater drought indicator, Hydrol. Earth Syst. Sci., 20, 1117–1131, https://doi.org/10.5194/hess-20-1117-2016, 2016.
Kumar, R., Samaniego, L. E., Thober, S., Rakovec, O., Marx, A., Wanders, N., Pan, M., Hesse, F., and Attinger, S.: Multi-model assessment of groundwater recharge across Europe under warming climate, Earth's Future, 13, e2024EF005020, https://doi.org/10.1029/2024ef005020, 2025.
Lang, M., Binder, M., Richter, J., Schratz, P., Pfisterer, F., Coors, S., Au, Q., Casalicchio, G., Kotthoff, L., and Bischl, B.: mlr3: A modern object-oriented machine learning framework in R, Journal of Open Source Software, 4, 1903, https://doi.org/10.21105/joss.01903, 2019.
Lischeid, G., Dannowski, R., Kaiser, K., Nützmann, G., Steidl, J., and Stüve, P.: Inconsistent hydrological trends do not necessarily imply spatially heterogeneous drivers, J. Hydrol., 596, 126096, https://doi.org/10.1016/j.jhydrol.2021.126096, 2021.
Maechler, M., Rousseeuw, P., Struyf, A., Hubert, M., and Hornik, K.: cluster: Cluster Analysis Basics and Extensions, R package version 2.1.4, https://CRAN.R-project.org/package=cluster (last access: 8 July 2025), 2022.
Marx, A., Boeing, F., Rakovec, O., Müller, S., Can, Ö., Malla, C., Peichl, M., and Samaniego, L.: Auswirkungen des Klimawandels auf Wasserbedarf und -dargebot, Wasserwirtschaft, 11, 14–19, 2021.
Marx, C., Tetzlaff, D., Hinkelmann, R., and Soulsby, C.: Effects of 66 years of water management and hydroclimatic change on the urban hydrology and water quality of the Panke catchment, Berlin, Germany, Sci. Total Environ., 900, 165764, https://doi.org/10.1016/j.scitotenv.2023.165764, 2023.
McKee, T. B., Doesken, N. J., and Kleist, J.: The relationship of drought frequency and duration to time scales, Proceedings of the 8th Conference on Applied Climatology, Anaheim, California, 17–22 January, 179–184, https://www.droughtmanagement.info/literature/AMS_Relationship_Drought_Frequency_Duration_Time_Scales_1993.pdf (last access: 8 July 2025), 1993.
Molnar, C., Casalicchio, G., and Bischl, B.: iml: An R package for Interpretable Machine Learning, Journal of Open Source Software, 3, 786, https://doi.org/10.21105/joss.00786, 2018.
Naumann, G., Cammalleri, C., Mentaschi, L., and Feyen, L.: Increased economic drought impacts in Europe with anthropogenic warming, Nat. Clim. Change, 11, 485–491, https://doi.org/10.1038/s41558-021-01044-3, 2021.
Nogueira, G. E. H., Schmidt, C., Brunner, P., Graeber, D., and Fleckenstein, J. H.: Transit-Time and Temperature Control the Spatial Patterns of Aerobic Respiration and Denitrification in the Riparian Zone, Water Resour. Res., 57, e2021WR030117, https://doi.org/10.1029/2021WR030117, 2021.
Nölscher, M., Mutz, M., and Broda, S.: EU-MOHP v013.1.1 Dataset, HydroShare, https://doi.org/10.4211/hs.0d6999591fb048cab5ab71fcb690eadb, 2022a.
Nölscher, M., Mutz, M., and Broda, S.: Multiorder hydrologic Position for Europe – a Set of Features for Machine Learning and Analysis in Hydrology, Sci. Data, 9, 662, https://doi.org/10.1038/s41597-022-01787-4, 2022b.
Oikonomou, P. D., Karavitis, C. A., Tsesmelis, D. E., Kolokytha, E., and Maia, R.: Drought Characteristics Assessment in Europe over the Past 50 Years, Water Resour. Manag., 34, 4757–4772, https://doi.org/10.1007/s11269-020-02688-0, 2020.
Peters, E., Bier, G., van Lanen, H. A. J., and Torfs, P. J. J. F.: Propagation and spatial distribution of drought in a groundwater catchment, J. Hydrol., 321, 257–275, https://doi.org/10.1016/j.jhydrol.2005.08.004, 2006.
Pohlert, T.: trend: Non-Parametric Trend Tests and Change-Point Detection, R package version 1.1.5, https://CRAN.R-project.org/package=trend (last access: 8 July 2025), 2023.
R Core Team: R: A Language and Environment for Statistical Computing, R version 4.3.0, https://www.R-project.org/ (last access: 21 April 2023), 2023.
Rakovec, O., Samaniego, L., Hari, V., Markonis, Y., Moravec, V., Thober, S., Hanel, M., and Kumar, R.: The 2018–2020 Multi-Year Drought Sets a New Benchmark in Europe, Earth's Future, 10, e2021EF002394, https://doi.org/10.1029/2021EF002394, 2022.
Reinecke, R., Müller Schmied, H., Trautmann, T., Andersen, L. S., Burek, P., Flörke, M., Gosling, S. N., Grillakis, M., Hanasaki, N., Koutroulis, A., Pokhrel, Y., Thiery, W., Wada, Y., Yusuke, S., and Döll, P.: Uncertainty of simulated groundwater recharge at different global warming levels: a global-scale multi-model ensemble study, Hydrol. Earth Syst. Sci., 25, 787–810, https://doi.org/10.5194/hess-25-787-2021, 2021.
Rinderer, M., McGlynn, B. L., and Meerveld, H. J. van: Groundwater similarity across a watershed derived from time-warped and flow-corrected time series, Water Resour. Res., 53, 3921–3940, https://doi.org/10.1002/2016WR019856, 2017.
Rodell, M. and Li, B.: Changing intensity of hydroclimatic extreme events revealed by GRACE and GRACE-FO, Nat. Water, 1, 241–248, https://doi.org/10.1038/s44221-023-00040-5, 2023.
Schreiner-McGraw, A. P. and Ajami, H.: Delayed response of groundwater to multi-year meteorological droughts in the absence of anthropogenic management, J. Hydrol., 603, 126917, https://doi.org/10.1016/j.jhydrol.2021.126917, 2021
Schuler, P., Campanyà, J., Moe, H., Doherty, D., Williams, N. H., and McCormack, T.: Mapping the groundwater memory across Ireland: A step towards a groundwater drought susceptibility assessment, J. Hydrol., 612, 128277, https://doi.org/10.1016/j.jhydrol.2022.128277, 2022.
Stahl, K., Kohn, I., Blauhut, V., Urquijo, J., De Stefano, L., Acácio, V., Dias, S., Stagge, J. H., Tallaksen, L. M., Kampragou, E., Van Loon, A. F., Barker, L. J., Melsen, L. A., Bifulco, C., Musolino, D., Carli, A. de, Massarutto, A., Assimacopoulos, D., and Van Lanen, H. A. J.: Impacts of European drought events: insights from an international database of text-based reports, Nat. Hazards Earth Syst. Sci., 16, 801–819, https://doi.org/10.5194/nhess-16-801-2016, 2016.
Staude, N.: Nachhaltige Wasserversorgung in Zeiten des Klimawandels – die Integrierte Grundwasserbewirtschaftung im Hessischen Ried, Energie Wasser-Praxis, 8, 72–76, https://www.dvgw.de/medien/dvgw/wasser/klimawandel/2308staude.pdf (last access: 8 July 2025), 2023.
Taylor, R. G., Scanlon, B., Döll, P., Rodell, M., Beek, R. van, Wada, Y., Longuevergne, L., Leblanc, M., Famiglietti, J. S., Edmunds, M., Konikow, L., Green, T. R., Chen, J., Taniguchi, M., Bierkens, M. F. P., MacDonald, A., Fan, Y., Maxwell, R. M., Yechieli, Y., Gurdak, J. J., Allen, D. M., Shamsudduha, M., Hiscock, K., Yeh, P. J. F., Holman, I., and Treidel, H.: Ground water and climate change, Nat. Clim. Change, 3, 322–329, https://doi.org/10.1038/nclimate1744, 2013.
Umweltatlas Berlin: Grundwasserhöhen des Hauptgrundwasserleiters und des Panketalgrundwasserleiters 2018, https://www.berlin.de/umweltatlas/wasser/grundwasserhoehen/2018/kartenbeschreibung/ (last access: 8 July 2025), 2018.
Umweltbundesamt: Öffentliche Wasserversorgung, https://www.umweltbundesamt.de/daten/wasser/wasserwirtschaft/ (last access: 8 July 2025), 2022a.
Umweltbundesamt: Wasserressourcen und ihre Nutzung, https://www.umweltbundesamt.de/daten/wasser/wasserressourcen-ihre-nutzung#wassernachfrage (last access: 8 July 2025), 2022b.
Van Loon, A. F.: Hydrological drought explained, WIREs Water, 2, 359–392, https://doi.org/10.1002/wat2.1085, 2015.
Van Loon, A. F., Kumar, R., and Mishra, V.: Testing the use of standardised indices and GRACE satellite data to estimate the European 2015 groundwater drought in near-real time, Hydrol. Earth Syst. Sci., 21, 1947–1971, https://doi.org/10.5194/hess-21-1947-2017, 2017.
Vicente-Serrano, S. M., Beguería, S., and López-Moreno, J. I.: A Multiscalar Drought Index Sensitive to Global Warming: The Standardized Precipitation Evapotranspiration Index, J. Clim., 23, 1696–1718, https://doi.org/10.1175/2009JCLI2909.1, 2010.
Weber, L. and Mikat, H.: Grundwasseranreicherungsanlagen im Hessischen Ried, bbr, 01/2011, 44–49, https://www.whr-infiltration.de/wp-content/uploads/ (last access: 8 July 2025), 2011.
Westra, S., Fowler, H. J., Evans, J. P., Alexander, L. V., Berg, P., Johnson, F., Kendon, E. J., Lenderink, G., and Roberts, N. M.: Future changes to the intensity and frequency of short-duration extreme rainfall, Rev. Geophys., 52, 522–555, https://doi.org/10.1002/2014rg000464, 2014.
Wossenyeleh, B. K., Verbeiren, B., Diels, J., and Huysmans, M.: Vadose Zone Lag Time Effect on Groundwater Drought in a Temperate Climate, Water, 12, 2123, https://doi.org/10.3390/w12082123, 2020.
Wunsch, A., Liesch, T., and Broda, S.: Deep learning shows declining groundwater levels in Germany until 2100 due to climate change, Nat. Commun., 13, 1221, https://doi.org/10.1038/s41467-022-28770-2, 2022.
Wunsch, A., Liesch, T., and Goldscheider, N.: Towards understanding the influence of seasons on low-groundwater periods based on explainable machine learning, Hydrol. Earth Syst. Sci., 28, 2167–2178, https://doi.org/10.5194/hess-28-2167-2024, 2024.
Zink, M., Kumar, R., Cuntz, M., and Samaniego, L.: A high-resolution dataset of water fluxes and states for Germany accounting for parametric uncertainty, Hydrol. Earth Syst. Sci., 21, 1769–1790, https://doi.org/10.5194/hess-21-1769-2017, 2017.
Short summary
Groundwater is a crucial resource at risk due to droughts. To understand drought effects on groundwater levels in Germany, we grouped 6626 wells into six regional and two national patterns. Weather explained half of the level variations with varied response times. Shallow groundwater responds fast and is more vulnerable to short droughts (a few months). Dampened deep heads buffer short droughts but suffer from long droughts and recoveries. Two nationwide trend patterns were linked to human water use.
Groundwater is a crucial resource at risk due to droughts. To understand drought effects on...
