Articles | Volume 16, issue 15
https://doi.org/10.5194/gmd-16-4481-2023
© Author(s) 2023. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/gmd-16-4481-2023
© Author(s) 2023. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
DynQual v1.0: a high-resolution global surface water quality model
Department of Physical Geography, Faculty of Geosciences, Utrecht
University, Utrecht, the Netherlands
Marc F. P. Bierkens
Department of Physical Geography, Faculty of Geosciences, Utrecht
University, Utrecht, the Netherlands
Deltares, Unit Soil and Groundwater Systems, Utrecht, the Netherlands
Niko Wanders
Department of Physical Geography, Faculty of Geosciences, Utrecht
University, Utrecht, the Netherlands
Edwin H. Sutanudjaja
Department of Physical Geography, Faculty of Geosciences, Utrecht
University, Utrecht, the Netherlands
Ludovicus P. H. van Beek
Department of Physical Geography, Faculty of Geosciences, Utrecht
University, Utrecht, the Netherlands
Michelle T. H. van Vliet
Department of Physical Geography, Faculty of Geosciences, Utrecht
University, Utrecht, the Netherlands
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Edward R. Jones, Michelle T. H. van Vliet, Manzoor Qadir, and Marc F. P. Bierkens
Earth Syst. Sci. Data, 13, 237–254, https://doi.org/10.5194/essd-13-237-2021, https://doi.org/10.5194/essd-13-237-2021, 2021
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Continually improving and affordable wastewater management provides opportunities for both pollution reduction and clean water supply augmentation. This study provides a global outlook on the state of domestic and industrial wastewater production, collection, treatment and reuse. Our results can serve as a baseline in evaluating progress towards policy goals (e.g. Sustainable Development Goals) and as input data in large-scale water resource assessments (e.g. water quality modelling).
Qing He, Naota Hanasaki, Akiko Matsumura, Edwin H. Sutanudjaja, and Taikan Oki
EGUsphere, https://doi.org/10.5194/egusphere-2025-2952, https://doi.org/10.5194/egusphere-2025-2952, 2025
This preprint is open for discussion and under review for Geoscientific Model Development (GMD).
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This work presents a global groundwater modeling framework at 5-arcminute resolution, developed through an offline coupling of the H08 water resource model and MODFLOW6. The model includes a single-layer aquifer and is designed to capture long-term mean groundwater dynamics under varying climate types. The manuscript describes the model structure, input datasets, and evaluation against available observations.
Nicole Gyakowah Otoo, Edwin H. Sutanudjaja, Michelle T. H. van Vliet, Aafke M. Schipper, and Marc F. P. Bierkens
Hydrol. Earth Syst. Sci., 29, 2153–2165, https://doi.org/10.5194/hess-29-2153-2025, https://doi.org/10.5194/hess-29-2153-2025, 2025
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The contribution of groundwater to groundwater-dependent ecosystems (GDEs) is declining as a result of an increase in groundwater abstractions and climate change. This may lead to loss of habitat and biodiversity. This proposed framework enables the mapping and understanding of the temporal and spatial dynamics of GDEs on a large scale. The next step is to assess the global impacts of climate change and water use on GDE extent and health.
Hannes Müller Schmied, Simon Newland Gosling, Marlo Garnsworthy, Laura Müller, Camelia-Eliza Telteu, Atiq Kainan Ahmed, Lauren Seaby Andersen, Julien Boulange, Peter Burek, Jinfeng Chang, He Chen, Lukas Gudmundsson, Manolis Grillakis, Luca Guillaumot, Naota Hanasaki, Aristeidis Koutroulis, Rohini Kumar, Guoyong Leng, Junguo Liu, Xingcai Liu, Inga Menke, Vimal Mishra, Yadu Pokhrel, Oldrich Rakovec, Luis Samaniego, Yusuke Satoh, Harsh Lovekumar Shah, Mikhail Smilovic, Tobias Stacke, Edwin Sutanudjaja, Wim Thiery, Athanasios Tsilimigkras, Yoshihide Wada, Niko Wanders, and Tokuta Yokohata
Geosci. Model Dev., 18, 2409–2425, https://doi.org/10.5194/gmd-18-2409-2025, https://doi.org/10.5194/gmd-18-2409-2025, 2025
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Global water models contribute to the evaluation of important natural and societal issues but are – as all models – simplified representation of reality. So, there are many ways to calculate the water fluxes and storages. This paper presents a visualization of 16 global water models using a standardized visualization and the pathway towards this common understanding. Next to academic education purposes, we envisage that these diagrams will help researchers, model developers, and data users.
Jennie C. Steyaert, Edwin Sutanudjaja, Marc Bierkens, and Niko Wanders
EGUsphere, https://doi.org/10.5194/egusphere-2024-3658, https://doi.org/10.5194/egusphere-2024-3658, 2025
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Using machine learning techniques and remotely sensed reservoir data, we develop a workflow to derive reservoir storage bounds. We put these bounds in a global hydrologic model, PCR-GLOBWB 2, and evaluate the difference between generalized operations (the schemes typically in global models) and this data derived method. We find that modelled storage is more accurate in the data derived operations. We also find that generalized operations over estimate storage and can underestimate water gaps.
Barry van Jaarsveld, Niko Wanders, Edwin H. Sutanudjaja, Jannis Hoch, Bram Droppers, Joren Janzing, Rens L. P. H. van Beek, and Marc F. P. Bierkens
Earth Syst. Dynam., 16, 29–54, https://doi.org/10.5194/esd-16-29-2025, https://doi.org/10.5194/esd-16-29-2025, 2025
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Policy makers use global hydrological models to develop water management strategies and policies. However, it would be better if these models provided information at higher resolution. We present a first-of-its-kind, truly global hyper-resolution model and show that hyper-resolution brings about better estimates of river discharge, and this is especially true for smaller catchments. Our results also suggest that future hyper-resolution models need to include more detailed land cover information.
Joren Janzing, Niko Wanders, Marit van Tiel, Barry van Jaarsveld, Dirk Nikolaus Karger, and Manuela Irene Brunner
EGUsphere, https://doi.org/10.5194/egusphere-2024-3072, https://doi.org/10.5194/egusphere-2024-3072, 2024
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Process representation in hyper-resolution large-scale hydrological models (LHM) limits model performance, particularly in mountain regions. Here, we update mountain process representation in an LHM and compare different meteorological forcing products. Structural and parametric changes in snow, glacier and soil processes improve discharge simulations, while meteorological forcing remains a major control on model performance. Our work can guide future development of LHMs.
Safaa Naffaa, Frances F. E. Dunne, Jannis Hoch, Geert Sterk, Steven S. M. de Jong, and Rens L. P. H. van Beek
Hydrol. Earth Syst. Sci. Discuss., https://doi.org/10.5194/hess-2024-255, https://doi.org/10.5194/hess-2024-255, 2024
Revised manuscript under review for HESS
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This paper introduces the RDSM model. Human impacts such as climate change, land cover change and reservoir construction can be explicitly modelled and evaluated. We applied RDSM to the Amazon. We also validated the model and we conclude that RDSM effectively represents the patterns of monthly and annual variations of discharge and sediment transport across the Amazon Basin and to the ocean. Our findings are relevant to the research community working on the Amazon Basin and on similar topics.
Barry van Jaarsveld, Sandra M. Hauswirth, and Niko Wanders
Hydrol. Earth Syst. Sci., 28, 2357–2374, https://doi.org/10.5194/hess-28-2357-2024, https://doi.org/10.5194/hess-28-2357-2024, 2024
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Drought often manifests itself in vegetation; however, obtaining high-resolution remote-sensing products that are spatially and temporally consistent is difficult. In this study, we show that machine learning (ML) can fill data gaps in existing products. We also demonstrate that ML can be used as a downscaling tool. By relying on ML for gap filling and downscaling, we can obtain a more holistic view of the impacts of drought on vegetation.
Mugni Hadi Hariadi, Gerard van der Schrier, Gert-Jan Steeneveld, Samuel J. Sutanto, Edwin Sutanudjaja, Dian Nur Ratri, Ardhasena Sopaheluwakan, and Albert Klein Tank
Hydrol. Earth Syst. Sci., 28, 1935–1956, https://doi.org/10.5194/hess-28-1935-2024, https://doi.org/10.5194/hess-28-1935-2024, 2024
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We utilize the high-resolution CMIP6 for extreme rainfall and streamflow projection over Southeast Asia. This region will experience an increase in both dry and wet extremes in the near future. We found a more extreme low flow and high flow, along with an increasing probability of low-flow and high-flow events. We reveal that the changes in low-flow events and their probabilities are not only influenced by extremely dry climates but also by the catchment characteristics.
Sneha Chevuru, Rens L. P. H. van Beek, Michelle T. H. van Vliet, Jerom P. M. Aerts, and Marc F. P. Bierkens
EGUsphere, https://doi.org/10.5194/egusphere-2024-465, https://doi.org/10.5194/egusphere-2024-465, 2024
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This paper integrates PCR-GLOBWB 2 hydrological model with WOFOST crop growth model to analyze mutual feedbacks between hydrology and crop growth. It quantifies one-way and two-way feedbacks between hydrology and crop growth, revealing patterns in crop yield and irrigation water use. Dynamic interactions enhance understanding of climate variability impacts on food production, highlighting the importance of two-way model coupling for accurate assessments.
Jarno Verkaik, Edwin H. Sutanudjaja, Gualbert H. P. Oude Essink, Hai Xiang Lin, and Marc F. P. Bierkens
Geosci. Model Dev., 17, 275–300, https://doi.org/10.5194/gmd-17-275-2024, https://doi.org/10.5194/gmd-17-275-2024, 2024
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This paper presents the parallel PCR-GLOBWB global-scale groundwater model at 30 arcsec resolution (~1 km at the Equator). Named GLOBGM v1.0, this model is a follow-up of the 5 arcmin (~10 km) model, aiming for a higher-resolution simulation of worldwide fresh groundwater reserves under climate change and excessive pumping. For a long transient simulation using a parallel prototype of MODFLOW 6, we show that our implementation is efficient for a relatively low number of processor cores.
Heidi Kreibich, Kai Schröter, Giuliano Di Baldassarre, Anne F. Van Loon, Maurizio Mazzoleni, Guta Wakbulcho Abeshu, Svetlana Agafonova, Amir AghaKouchak, Hafzullah Aksoy, Camila Alvarez-Garreton, Blanca Aznar, Laila Balkhi, Marlies H. Barendrecht, Sylvain Biancamaria, Liduin Bos-Burgering, Chris Bradley, Yus Budiyono, Wouter Buytaert, Lucinda Capewell, Hayley Carlson, Yonca Cavus, Anaïs Couasnon, Gemma Coxon, Ioannis Daliakopoulos, Marleen C. de Ruiter, Claire Delus, Mathilde Erfurt, Giuseppe Esposito, Didier François, Frédéric Frappart, Jim Freer, Natalia Frolova, Animesh K. Gain, Manolis Grillakis, Jordi Oriol Grima, Diego A. Guzmán, Laurie S. Huning, Monica Ionita, Maxim Kharlamov, Dao Nguyen Khoi, Natalie Kieboom, Maria Kireeva, Aristeidis Koutroulis, Waldo Lavado-Casimiro, Hong-Yi Li, Maria Carmen LLasat, David Macdonald, Johanna Mård, Hannah Mathew-Richards, Andrew McKenzie, Alfonso Mejia, Eduardo Mario Mendiondo, Marjolein Mens, Shifteh Mobini, Guilherme Samprogna Mohor, Viorica Nagavciuc, Thanh Ngo-Duc, Huynh Thi Thao Nguyen, Pham Thi Thao Nhi, Olga Petrucci, Nguyen Hong Quan, Pere Quintana-Seguí, Saman Razavi, Elena Ridolfi, Jannik Riegel, Md Shibly Sadik, Nivedita Sairam, Elisa Savelli, Alexey Sazonov, Sanjib Sharma, Johanna Sörensen, Felipe Augusto Arguello Souza, Kerstin Stahl, Max Steinhausen, Michael Stoelzle, Wiwiana Szalińska, Qiuhong Tang, Fuqiang Tian, Tamara Tokarczyk, Carolina Tovar, Thi Van Thu Tran, Marjolein H. J. van Huijgevoort, Michelle T. H. van Vliet, Sergiy Vorogushyn, Thorsten Wagener, Yueling Wang, Doris E. Wendt, Elliot Wickham, Long Yang, Mauricio Zambrano-Bigiarini, and Philip J. Ward
Earth Syst. Sci. Data, 15, 2009–2023, https://doi.org/10.5194/essd-15-2009-2023, https://doi.org/10.5194/essd-15-2009-2023, 2023
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As the adverse impacts of hydrological extremes increase in many regions of the world, a better understanding of the drivers of changes in risk and impacts is essential for effective flood and drought risk management. We present a dataset containing data of paired events, i.e. two floods or two droughts that occurred in the same area. The dataset enables comparative analyses and allows detailed context-specific assessments. Additionally, it supports the testing of socio-hydrological models.
Jannis M. Hoch, Edwin H. Sutanudjaja, Niko Wanders, Rens L. P. H. van Beek, and Marc F. P. Bierkens
Hydrol. Earth Syst. Sci., 27, 1383–1401, https://doi.org/10.5194/hess-27-1383-2023, https://doi.org/10.5194/hess-27-1383-2023, 2023
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To facilitate locally relevant simulations over large areas, global hydrological models (GHMs) have moved towards ever finer spatial resolutions. After a decade-long quest for hyper-resolution (i.e. equal to or smaller than 1 km), the presented work is a first application of a GHM at 1 km resolution over Europe. This not only shows that hyper-resolution can be achieved but also allows for a thorough evaluation of model results at unprecedented detail and the formulation of future research.
Sandra M. Hauswirth, Marc F. P. Bierkens, Vincent Beijk, and Niko Wanders
Hydrol. Earth Syst. Sci., 27, 501–517, https://doi.org/10.5194/hess-27-501-2023, https://doi.org/10.5194/hess-27-501-2023, 2023
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Forecasts on water availability are important for water managers. We test a hybrid framework based on machine learning models and global input data for generating seasonal forecasts. Our evaluation shows that our discharge and surface water level predictions are able to create reliable forecasts up to 2 months ahead. We show that a hybrid framework, developed for local purposes and combined and rerun with global data, can create valuable information similar to large-scale forecasting models.
Sigrid Jørgensen Bakke, Niko Wanders, Karin van der Wiel, and Lena Merete Tallaksen
Nat. Hazards Earth Syst. Sci., 23, 65–89, https://doi.org/10.5194/nhess-23-65-2023, https://doi.org/10.5194/nhess-23-65-2023, 2023
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In this study, we developed a machine learning model to identify dominant controls of wildfire in Fennoscandia and produce monthly fire danger probability maps. The dominant control was shallow-soil water anomaly, followed by air temperature and deep soil water. The model proved skilful with a similar performance as the existing Canadian Forest Fire Weather Index (FWI). We highlight the benefit of using data-driven models jointly with other fire models to improve fire monitoring and prediction.
Pau Wiersma, Jerom Aerts, Harry Zekollari, Markus Hrachowitz, Niels Drost, Matthias Huss, Edwin H. Sutanudjaja, and Rolf Hut
Hydrol. Earth Syst. Sci., 26, 5971–5986, https://doi.org/10.5194/hess-26-5971-2022, https://doi.org/10.5194/hess-26-5971-2022, 2022
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We test whether coupling a global glacier model (GloGEM) with a global hydrological model (PCR-GLOBWB 2) leads to a more realistic glacier representation and to improved basin runoff simulations across 25 large-scale basins. The coupling does lead to improved glacier representation, mainly by accounting for glacier flow and net glacier mass loss, and to improved basin runoff simulations, mostly in strongly glacier-influenced basins, which is where the coupling has the most impact.
Vili Virkki, Elina Alanärä, Miina Porkka, Lauri Ahopelto, Tom Gleeson, Chinchu Mohan, Lan Wang-Erlandsson, Martina Flörke, Dieter Gerten, Simon N. Gosling, Naota Hanasaki, Hannes Müller Schmied, Niko Wanders, and Matti Kummu
Hydrol. Earth Syst. Sci., 26, 3315–3336, https://doi.org/10.5194/hess-26-3315-2022, https://doi.org/10.5194/hess-26-3315-2022, 2022
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Direct and indirect human actions have altered streamflow across the world since pre-industrial times. Here, we apply a method of environmental flow envelopes (EFEs) that develops the existing global environmental flow assessments by methodological advances and better consideration of uncertainty. By assessing the violations of the EFE, we comprehensively quantify the frequency, severity, and trends of flow alteration during the past decades, illustrating anthropogenic effects on streamflow.
Veit Blauhut, Michael Stoelzle, Lauri Ahopelto, Manuela I. Brunner, Claudia Teutschbein, Doris E. Wendt, Vytautas Akstinas, Sigrid J. Bakke, Lucy J. Barker, Lenka Bartošová, Agrita Briede, Carmelo Cammalleri, Ksenija Cindrić Kalin, Lucia De Stefano, Miriam Fendeková, David C. Finger, Marijke Huysmans, Mirjana Ivanov, Jaak Jaagus, Jiří Jakubínský, Svitlana Krakovska, Gregor Laaha, Monika Lakatos, Kiril Manevski, Mathias Neumann Andersen, Nina Nikolova, Marzena Osuch, Pieter van Oel, Kalina Radeva, Renata J. Romanowicz, Elena Toth, Mirek Trnka, Marko Urošev, Julia Urquijo Reguera, Eric Sauquet, Aleksandra Stevkov, Lena M. Tallaksen, Iryna Trofimova, Anne F. Van Loon, Michelle T. H. van Vliet, Jean-Philippe Vidal, Niko Wanders, Micha Werner, Patrick Willems, and Nenad Živković
Nat. Hazards Earth Syst. Sci., 22, 2201–2217, https://doi.org/10.5194/nhess-22-2201-2022, https://doi.org/10.5194/nhess-22-2201-2022, 2022
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Recent drought events caused enormous damage in Europe. We therefore questioned the existence and effect of current drought management strategies on the actual impacts and how drought is perceived by relevant stakeholders. Over 700 participants from 28 European countries provided insights into drought hazard and impact perception and current management strategies. The study concludes with an urgent need to collectively combat drought risk via a European macro-level drought governance approach.
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).
Marc F. P. Bierkens, Edwin H. Sutanudjaja, and Niko Wanders
Hydrol. Earth Syst. Sci., 25, 5859–5878, https://doi.org/10.5194/hess-25-5859-2021, https://doi.org/10.5194/hess-25-5859-2021, 2021
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We introduce a simple analytical framework that allows us to estimate to what extent large-scale groundwater withdrawal affects groundwater levels and streamflow. It also calculates which part of the groundwater withdrawal comes out of groundwater storage and which part from a reduction in streamflow. Global depletion rates obtained with the framework are compared with estimates from satellites, from global- and continental-scale groundwater models, and from in situ datasets.
Jan L. Gunnink, Hung Van Pham, Gualbert H. P. Oude Essink, and Marc F. P. Bierkens
Earth Syst. Sci. Data, 13, 3297–3319, https://doi.org/10.5194/essd-13-3297-2021, https://doi.org/10.5194/essd-13-3297-2021, 2021
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In the Mekong Delta (Vietnam) groundwater is important for domestic, agricultural and industrial use. Increased pumping of groundwater has caused land subsidence and increased the risk of salinization, thereby endangering the livelihood of the population in the delta. We made a model of the salinity of the groundwater by integrating different sources of information and determined fresh groundwater volumes. The resulting model can be used by researchers and policymakers.
Camelia-Eliza Telteu, Hannes Müller Schmied, Wim Thiery, Guoyong Leng, Peter Burek, Xingcai Liu, Julien Eric Stanislas Boulange, Lauren Seaby Andersen, Manolis Grillakis, Simon Newland Gosling, Yusuke Satoh, Oldrich Rakovec, Tobias Stacke, Jinfeng Chang, Niko Wanders, Harsh Lovekumar Shah, Tim Trautmann, Ganquan Mao, Naota Hanasaki, Aristeidis Koutroulis, Yadu Pokhrel, Luis Samaniego, Yoshihide Wada, Vimal Mishra, Junguo Liu, Petra Döll, Fang Zhao, Anne Gädeke, Sam S. Rabin, and Florian Herz
Geosci. Model Dev., 14, 3843–3878, https://doi.org/10.5194/gmd-14-3843-2021, https://doi.org/10.5194/gmd-14-3843-2021, 2021
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We analyse water storage compartments, water flows, and human water use sectors included in 16 global water models that provide simulations for the Inter-Sectoral Impact Model Intercomparison Project phase 2b. We develop a standard writing style for the model equations. We conclude that even though hydrologic processes are often based on similar equations, in the end these equations have been adjusted, or the models have used different values for specific parameters or specific variables.
Noemi Vergopolan, Sitian Xiong, Lyndon Estes, Niko Wanders, Nathaniel W. Chaney, Eric F. Wood, Megan Konar, Kelly Caylor, Hylke E. Beck, Nicolas Gatti, Tom Evans, and Justin Sheffield
Hydrol. Earth Syst. Sci., 25, 1827–1847, https://doi.org/10.5194/hess-25-1827-2021, https://doi.org/10.5194/hess-25-1827-2021, 2021
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Drought monitoring and yield prediction often rely on coarse-scale hydroclimate data or (infrequent) vegetation indexes that do not always indicate the conditions farmers face in the field. Consequently, decision-making based on these indices can often be disconnected from the farmer reality. Our study focuses on smallholder farming systems in data-sparse developing countries, and it shows how field-scale soil moisture can leverage and improve crop yield prediction and drought impact assessment.
Edward R. Jones, Michelle T. H. van Vliet, Manzoor Qadir, and Marc F. P. Bierkens
Earth Syst. Sci. Data, 13, 237–254, https://doi.org/10.5194/essd-13-237-2021, https://doi.org/10.5194/essd-13-237-2021, 2021
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Continually improving and affordable wastewater management provides opportunities for both pollution reduction and clean water supply augmentation. This study provides a global outlook on the state of domestic and industrial wastewater production, collection, treatment and reuse. Our results can serve as a baseline in evaluating progress towards policy goals (e.g. Sustainable Development Goals) and as input data in large-scale water resource assessments (e.g. water quality modelling).
Sarah F. Kew, Sjoukje Y. Philip, Mathias Hauser, Mike Hobbins, Niko Wanders, Geert Jan van Oldenborgh, Karin van der Wiel, Ted I. E. Veldkamp, Joyce Kimutai, Chris Funk, and Friederike E. L. Otto
Earth Syst. Dynam., 12, 17–35, https://doi.org/10.5194/esd-12-17-2021, https://doi.org/10.5194/esd-12-17-2021, 2021
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Motivated by the possible influence of rising temperatures, this study synthesises results from observations and climate models to explore trends (1900–2018) in eastern African (EA) drought measures. However, no discernible trends are found in annual soil moisture or precipitation. Positive trends in potential evaporation indicate that for irrigated regions more water is now required to counteract increased evaporation. Precipitation deficit is, however, the most useful indicator of EA drought.
Bram Droppers, Wietse H. P. Franssen, Michelle T. H. van Vliet, Bart Nijssen, and Fulco Ludwig
Geosci. Model Dev., 13, 5029–5052, https://doi.org/10.5194/gmd-13-5029-2020, https://doi.org/10.5194/gmd-13-5029-2020, 2020
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Our study aims to include both both societal and natural water requirements and uses into a hydrological model in order to enable worldwide assessments of sustainable water use. The model was extended to include irrigation, domestic, industrial, energy, and livestock water uses as well as minimum flow requirements for natural systems. Initial results showed competition for water resources between society and nature, especially with respect to groundwater withdrawals.
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
Hydrol. Earth Syst. Sci. Discuss., https://doi.org/10.5194/hess-2020-378, https://doi.org/10.5194/hess-2020-378, 2020
Revised manuscript not accepted
Cited articles
Batjes, N. H.: ISRIC-WISE global data set of derived soil properties on a
0.5 by 0.5 degree grid (Version 3.0), World Soil Information, Wageningen,
24, d9eca770-29a4-4d95-bf93-f32e1ab419c3, 2005.
Beusen, A. H. W., Dekkers, A. L. M., Bouwman, A. F., Ludwig, W., and
Harrison, J.: Estimation of global river transport of sediments and
associated particulate C, N, and P, Global Biogeochem. Cy., 19, GB4S05, https://doi.org/10.1029/2005gb002453, 2005.
Beusen, A. H. W., Van Beek, L. P. H., Bouwman, A. F., Mogollón, J. M., and Middelburg, J. J.: Coupling global models for hydrology and nutrient loading to simulate nitrogen and phosphorus retention in surface water – description of IMAGE–GNM and analysis of performance, Geosci. Model Dev., 8, 4045–4067, https://doi.org/10.5194/gmd-8-4045-2015, 2015.
Chapra, S. C., Pelletier, G. J., and Tao, H.: QUAL2K: A Modeling Framework for Simulating River and Stream Water Quality, Version 2.11: Documentation and Users Manual, Civil and Environmental Engineering Dept., Tufts University, Medford, MA, 2008.
Cucchi, M., Weedon, G. P., Amici, A., Bellouin, N., Lange, S., Müller Schmied, H., Hersbach, H., and Buontempo, C.: WFDE5: bias-adjusted ERA5 reanalysis data for impact studies, Earth Syst. Sci. Data, 12, 2097–2120, https://doi.org/10.5194/essd-12-2097-2020, 2020.
Damania, R., Desbureaux, S., Rodella, A.-S., Russ, J., and Zaveri, E.:
Quality Unknown: The Invisible Water Crises, World Bank Group, Washington,
DC, https://doi.org/10.1596/978-1-4648-1459-4, 2019.
Desbureaux, S., Mortier, F., Zaveri, E., van Vliet, M. T. H., Russ, J.,
Rodella, A. S., and Damania, R.: Mapping global hotspots and trends of water
quality (1992–2010): a data driven approach, Environ. Res.
Lett., 17, 114048, https://doi.org/10.1088/1748-9326/ac9cf6, 2022.
Ehalt Macedo, H., Lehner, B., Nicell, J., Grill, G., Li, J., Limtong, A., and Shakya, R.: Distribution and characteristics of wastewater treatment plants within the global river network, Earth Syst. Sci. Data, 14, 559–577, https://doi.org/10.5194/essd-14-559-2022, 2022.
Gilbert, M., Nicolas, G., Cinardi, G., Van Boeckel, T. P., Vanwambeke, S.
O., Wint, G. R. W., and Robinson, T. P.: Global distribution data for
cattle, buffaloes, horses, sheep, goats, pigs, chickens and ducks in 2010,
Sci. Data, 5, 180227, https://doi.org/10.1038/sdata.2018.227, 2018.
Gudmundsson, L., Boulange, J., Do, H. X., Gosling, S. N., Grillakis, M. G.,
Koutroulis, A. G., Leonard, M., Liu, J., Müller Schmied, H.,
Papadimitriou, L., Pokhrel, Y., Seneviratne, S. I., Satoh, Y., Thiery, W.,
Westra, S., Zhang, X., and Zhao, F.: Globally observed trends in mean and
extreme river flow attributed to climate change, Science, 371, 1159–1162, https://doi.org/10.1126/science.aba3996, 2021.
Hofstra, N., Bouwman, A. F., Beusen, A. H. W., and Medema, G. J.: Exploring
global Cryptosporidium emissions to surface water, Sci. Total
Environ., 442, 10–19, https://doi.org/10.1016/j.scitotenv.2012.10.013, 2013.
Hrachowitz, M., Savenije, H. H. G., Blöschl, G., McDonnell, J. J.,
Sivapalan, M., Pomeroy, J. W., Arheimer, B., Blume, T., Clark, M. P., Ehret,
U., Fenicia, F., Freer, J. E., Gelfan, A., Gupta, H. V., Hughes, D. A., Hut,
R. W., Montanari, A., Pande, S., Tetzlaff, D., Troch, P. A., Uhlenbrook, S.,
Wagener, T., Winsemius, H. C., Woods, R. A., Zehe, E., and Cudennec, C.: A
decade of Predictions in Ungauged Basins (PUB) – a review, Hydrolog.
Sci. J., 58, 1198-1255, https://doi.org/10.1080/02626667.2013.803183, 2013.
Jones, E. R.: DynQual input example: Rhine basin, Zenodo [data set], https://doi.org/10.5281/zenodo.7027242, 2022.
Jones, E. R., van Vliet, M. T. H., Qadir, M., and Bierkens, M. F. P.: Country-level and gridded estimates of wastewater production, collection, treatment and reuse, Earth Syst. Sci. Data, 13, 237–254, https://doi.org/10.5194/essd-13-237-2021, 2021.
Jones, E. R., Bierkens, M. F. P., Wanders, N., Sutanudjaja, E. H., van Beek,
L. P. H., and van Vliet, M. T. H.: Current wastewater treatment targets are
insufficient to protect surface water quality, Commun. Earth
Environ., 3, 221, https://doi.org/10.1038/s43247-022-00554-y, 2022a.
Jones, E. R., Bierkens, M. F. P., Wanders, N., Sutanudjaja, E. H., van Beek, L. P. H., and van Vliet, M. T. H.: Global monthly hydrology and water quality datasets, derived from the dynamical surface water quality model (DynQual) at 10 km spatial resolution, Zenodo [data set], https://doi.org/10.5281/zenodo.7139222, 2022b.
Jones, E. R., Bierkens. M. F. P., Wanders, N., Sutanudjaja, E. H., van Beek, L. P. H., and van Vliet, M. T. H.: UU-Hydro/DYNQUAL: DynQual v1.0, Zenodo [code], https://doi.org/10.5281/zenodo.7932317, 2023.
Knoben, W. J. M., Freer, J. E., and Woods, R. A.: Technical note: Inherent benchmark or not? Comparing Nash–Sutcliffe and Kling–Gupta efficiency scores, Hydrol. Earth Syst. Sci., 23, 4323–4331, https://doi.org/10.5194/hess-23-4323-2019, 2019.
Lange, S. and Geiger, T.: ISIMIP3a population input data (1.0), SIMIP Repository [data set], https://doi.org/10.48364/ISIMIP.822480, 2020.
Lohrmann, A., Farfan, J., Caldera, U., Lohrmann, C., and Breyer, C.: Global
scenarios for significant water use reduction in thermal power plants based
on cooling water demand estimation using satellite imagery, Nat. Energ.,
4, 1040–1048, https://doi.org/10.1038/s41560-019-0501-4, 2019.
Loucks, D. P. and Beek, E. V.: Water quality modeling and prediction, in:
Water resource systems planning and management, Springer, 417–467, https://doi.org/10.1007/978-3-319-44234-1_10, 2017.
Luthy, R. G., Sedlak, D. L., Plumlee, M. H., Austin, D., and Resh, V. H.:
Wastewater-effluent-dominated streams as ecosystem-management tools in a
drier climate, Front. Ecol. Environ., 13, 477–485,
https://doi.org/10.1890/150038, 2015.
Ozaki, N., Fukushima, T., Harasawa, H., Kojiri, T., Kawashima, K., and Ono,
M.: Statistical analyses on the effects of air temperature fluctuations on
river water qualities, Hydrol. Process., 17, 2837–2853,
https://doi.org/10.1002/hyp.1437, 2003.
Prüss-Ustün, A., Wolf, J., Bartram, J., Clasen, T., Cumming, O.,
Freeman, M. C., Gordon, B., Hunter, P. R., Medlicott, K., and Johnston, R.:
Burden of disease from inadequate water, sanitation and hygiene for selected
adverse health outcomes: An updated analysis with a focus on low- and
middle-income countries, Int. J. Hyg. Envir.
Heal., 222, 765–777, https://doi.org/10.1016/j.ijheh.2019.05.004, 2019.
Reder, K., Flörke, M., and Alcamo, J.: Modeling historical fecal
coliform loadings to large European rivers and resulting in-stream
concentrations, Environ. Model. Softw., 63, 251–263,
https://doi.org/10.1016/j.envsoft.2014.10.001, 2015.
Robinson, T. P., Thornton, P. K., Franceschini, G., Kruska, R., Chiozza, F.,
Notenbaert, A. M. O., Cecchi, G., Herrero, M. T., Epprecht, M., and Fritz,
S.: Global livestock production systems, Food and Agriculture Organization
of the United Nations (FAO) and International Livestock Research Institute
(ILRI), Rome, 152 pp., ISBN 978-92-5-107033-8, 2011.
Sirota, J., Baiser, B., Gotelli, N. J., and Ellison, A. M.: Organic-matter
loading determines regime shifts and alternative states in an aquatic
ecosystem, P. Natl. Acad. Sci. USA, 110, 7742–7747,
https://doi.org/10.1073/pnas.1221037110, 2013.
Smucker, N. J., Beaulieu, J. J., Nietch, C. T., and Young, J. L.:
Increasingly severe cyanobacterial blooms and deep water hypoxia coincide
with warming water temperatures in reservoirs, Glob. Change Biol., 27,
2507–2519, https://doi.org/10.1111/gcb.15618, 2021.
Stefan, L., Christoph, M., Stephanie, G., Marco, C., Graham, P. W.,
Alessandro, A., Nicolas, B., Hannes Müller, S., Hans, H., Carlo, B., and
Chiara, C.: WFDE5 over land merged with ERA5 over the ocean (W5E5 v2.0), ISIMIP Repository [data set], https://doi.org/10.48364/ISIMIP.342217, 2021.
Sutanudjaja, E. H., van Beek, R., Wanders, N., Wada, Y., Bosmans, J. H. C., Drost, N., van der Ent, R. J., de Graaf, I. E. M., Hoch, J. M., de Jong, K., Karssenberg, D., López López, P., Peßenteiner, S., Schmitz, O., Straatsma, M. W., Vannametee, E., Wisser, D., and Bierkens, M. F. P.: PCR-GLOBWB 2: a 5 arcmin global hydrological and water resources model, Geosci. Model Dev., 11, 2429–2453, https://doi.org/10.5194/gmd-11-2429-2018, 2018.
Thomann, R. V. and Mueller, J. A.: Principles of surface water quality
modeling and control, Harper & Row Publishers, ISBN-10 0060466774, 1987.
Thorslund, J. and van Vliet, M. T. H.: A global dataset of surface water and
groundwater salinity measurements from 1980–2019, Sci. Data, 7, 231, https://doi.org/10.1038/s41597-020-0562-z, 2020.
Thorslund, J., Bierkens, M. F. P., Scaini, A., Sutanudjaja, E. H., and van
Vliet, M. T. H.: Salinity impacts on irrigation water-scarcity in food bowl
regions of the US and Australia, Environ. Res. Lett., 17, 084002, https://doi.org/10.1088/1748-9326/ac7df4, 2022.
UNEP: A Snapshot of the World's Water Quality: Towards a global assessment,
United Nations Environment Programme, Nairobi, Kenya, 162 pp., 2016.
van Beek, L., Eikelboom, T., van Vliet, M., and Bierkens, M. F. P.: A
physically based model of global freshwater surface temperature, Water
Resour. Res., 48, W09530, https://doi.org/10.1029/2012WR011819, 2012.
van Puijenbroek, P. J. T. M., Beusen, A. H. W., and Bouwman, A. F.: Global
nitrogen and phosphorus in urban waste water based on the Shared
Socio-economic pathways, J. Environ. Manage., 231, 446–456,
https://doi.org/10.1016/j.jenvman.2018.10.048, 2019.
van Vliet, M., Franssen, W., Yearsley, J., Ludwig, F., Haddeland, I.,
Lettenmaier, D., and Kabat, P.: Global River Discharge and Water Temperature
under Climate Change, Global Environ. Chang., 23, 450–464, https://doi.org/10.1016/j.gloenvcha.2012.11.002, 2013.
van Vliet, M., Sheffield, J., Wiberg, D., and Wood, E.: Impacts of recent
drought and warm years on water resources and electricity supply worldwide,
Environ. Res. Lett., 11, 124021, https://doi.org/10.1088/1748-9326/11/12/124021,
2016.
van Vliet, M. T. H., Yearsley, J., Ludwig, F., Vögele, S., Lettenmaier, D.,
and Kabat, P.: Vulnerability of US and European Electricity Supply to
Climate Change, Nat. Clim. Change, 2, 676–681, https://doi.org/10.1038/nclimate1546,
2012a.
van Vliet, M. T. H., Yearsley, J. R., Franssen, W. H. P., Ludwig, F., Haddeland, I., Lettenmaier, D. P., and Kabat, P.: Coupled daily streamflow and water temperature modelling in large river basins, Hydrol. Earth Syst. Sci., 16, 4303–4321, https://doi.org/10.5194/hess-16-4303-2012, 2012b.
van Vliet, M. T. H., Jones, E. R., Flörke, M., Franssen, W. H. P.,
Hanasaki, N., Wada, Y., and Yearsley, J. R.: Global water scarcity including
surface water quality and expansions of clean water technologies,
Environ. Res. Lett., 16, 024020, https://doi.org/10.1088/1748-9326/abbfc3, 2021.
Velasco, J., Gutiérrez-Cánovas, C., Botella-Cruz, M.,
Sánchez-Fernández, D., Arribas, P., Carbonell, J. A., Millán,
A., and Pallarés, S.: Effects of salinity changes on aquatic organisms
in a multiple stressor context, Philos. T. Roy.
Soc. B, 374, 20180011, https://doi.org/10.1098/rstb.2018.0011, 2019.
Vigiak, O., Grizzetti, B., Udias-Moinelo, A., Zanni, M., Dorati, C.,
Bouraoui, F., and Pistocchi, A.: Predicting biochemical oxygen demand in
European freshwater bodies, Sci. Total Environ., 666,
1089–1105, https://doi.org/10.1016/j.scitotenv.2019.02.252,
2019.
Voß, A., Alcamo, J., Bärlund, I., Voß, F., Kynast, E., Williams,
R., and Malve, O.: Continental scale modelling of in-stream river water
quality: a report on methodology, test runs, and scenario application,
Hydrol. Process., 26, 2370–2384, https://doi.org/10.1002/hyp.9445, 2012.
Walton, N. R. G.: Electrical Conductivity and Total Dissolved Solids – What
is Their Precise Relationship?, Desalination, 72, 275–292, https://doi.org/10.1016/0011-9164(89)80012-8, 1989.
Wanders, N. and Wada, Y.: Human and climate impacts on the 21st century
hydrological drought, J. Hydrol., 526, 208–220, https://doi.org/10.1016/j.jhydrol.2014.10.047, 2015.
Wanders, N., van Vliet, M. T. H., Wada, Y., Bierkens, M. F. P., and van
Beek, L. P. H.: High-Resolution Global Water Temperature Modeling, Water
Resour. Res., 55, 2760–2778, https://doi.org/10.1029/2018WR023250, 2019.
Weaver, A. and Zwiers, F.: Uncertainty in climate change, Nature, 407,
571–572, https://doi.org/10.1038/35036659, 2000. streptococci and
Escherichia coli in fresh and dry cattle, horse, and sheep manure, Can.
J. Microbiol., 51, 847–851, https://doi.org/10.1139/w05-071, 2005.
Wen, Y., Schoups, G., and van de Giesen, N.: Organic pollution of rivers:
Combined threats of urbanization, livestock farming and global climate
change, Sci. Rep., 7, 43289, https://doi.org/10.1038/srep43289, 2017.
Wilcock, B.: Assessing the Relative Importance of Faecal Pollution Sources
in Rural Catchments, Environment Waikato, Environment Waikato, ISSN: 1172-4005, 2006.
Wright, B., Stanford, B., Reinert, A., Routt, J., Khan, S., and Debroux,
J.-F.: Managing water quality impacts from drought on drinking water
supplies, Aqua, 63, 179, https://doi.org/10.2166/aqua.2013.123, 2014.
WWAP: The United Nations World Water Development Report 2017, Wastewater:
The Untapped Resource, Paris, UNESCO, ISBN 978-92-3-100201-4, 2017.
Short summary
DynQual is a new high-resolution global water quality model for simulating total dissolved solids, biological oxygen demand and fecal coliform as indicators of salinity, organic pollution and pathogen pollution, respectively. Output data from DynQual can supplement the observational record of water quality data, which is highly fragmented across space and time, and has the potential to inform assessments in a broad range of fields including ecological, human health and water scarcity studies.
DynQual is a new high-resolution global water quality model for simulating total dissolved...