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Hydrology and Earth System Sciences
An interactive open-access journal of the European Geosciences Union
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Volume 19, issue 6
Hydrol. Earth Syst. Sci., 19, 2911–2924, 2015
https://doi.org/10.5194/hess-19-2911-2015
© Author(s) 2015. This work is distributed under
the Creative Commons Attribution 3.0 License.
https://doi.org/10.5194/hess-19-2911-2015
© Author(s) 2015. This work is distributed under
the Creative Commons Attribution 3.0 License.
Hydrol. Earth Syst. Sci., 19, 2911–2924, 2015
https://doi.org/10.5194/hess-19-2911-2015
© Author(s) 2015. This work is distributed under
the Creative Commons Attribution 3.0 License.
https://doi.org/10.5194/hess-19-2911-2015
© Author(s) 2015. This work is distributed under
the Creative Commons Attribution 3.0 License.
Research article 23 Jun 2015
Research article | 23 Jun 2015
Operational aspects of asynchronous filtering for flood forecasting
O. Rakovec et al.
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Manuela I. Brunner, Lieke A. Melsen, Andrew W. Wood, Oldrich Rakovec, Naoki Mizukami, Wouter J. M. Knoben, and Martyn P. Clark
Hydrol. Earth Syst. Sci. Discuss., https://doi.org/10.5194/hess-2020-192, https://doi.org/10.5194/hess-2020-192, 2020
Preprint under review for HESS
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Assessments of current, local and regional flood hazards and their future changes often involve the use of hydrologic models. A reliable model ideally reproduces both local flood characteristics and spatial aspects of flooding. In this paper we investigate how such characteristics are represented by hydrologic models. Our results show that both the modeling of local and spatial flood characteristics is challenging and suggest that the development of new evaluation metrics is necessary.
Miao Jing, Rohini Kumar, Falk Heße, Stephan Thober, Oldrich Rakovec, Luis Samaniego, and Sabine Attinger
Hydrol. Earth Syst. Sci., 24, 1511–1526, https://doi.org/10.5194/hess-24-1511-2020, https://doi.org/10.5194/hess-24-1511-2020, 2020
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This study investigates the response of regional groundwater system to the climate change under three global warming levels (1.5, 2, and 3 °C) in a central German basin. A comprehensive uncertainty analysis is also presented. This study indicates that the variability of responses increases with the amount of global warming, which might affect the cost of managing the groundwater system.
Naoki Mizukami, Oldrich Rakovec, Andrew J. Newman, Martyn P. Clark, Andrew W. Wood, Hoshin V. Gupta, and Rohini Kumar
Hydrol. Earth Syst. Sci., 23, 2601–2614, https://doi.org/10.5194/hess-23-2601-2019, https://doi.org/10.5194/hess-23-2601-2019, 2019
Short summary
Short summary
We find that Nash–Sutcliffe (NSE)-based model calibrations result in poor reproduction of high-flow events, such as the annual peak flows that are used for flood frequency estimation. The use of Kling–Gupta efficiency (KGE) results in annual peak flow estimates that are better than from NSE, with only a slight degradation in performance with respect to other related metrics.
Andreas Marx, Rohini Kumar, Stephan Thober, Oldrich Rakovec, Niko Wanders, Matthias Zink, Eric F. Wood, Ming Pan, Justin Sheffield, and Luis Samaniego
Hydrol. Earth Syst. Sci., 22, 1017–1032, https://doi.org/10.5194/hess-22-1017-2018, https://doi.org/10.5194/hess-22-1017-2018, 2018
Short summary
Short summary
Hydrological low flows are affected under different levels of future global warming (i.e. 1.5, 2, and 3 K). The multi-model ensemble results show that the change signal amplifies with increasing warming levels. Low flows decrease in the Mediterranean, while they increase in the Alpine and Northern regions. The changes in low flows are significant for regions with relatively large change signals and under higher levels of warming. Adaptation should make use of change and uncertainty information.
Luis Samaniego, Rohini Kumar, Stephan Thober, Oldrich Rakovec, Matthias Zink, Niko Wanders, Stephanie Eisner, Hannes Müller Schmied, Edwin H. Sutanudjaja, Kirsten Warrach-Sagi, and Sabine Attinger
Hydrol. Earth Syst. Sci., 21, 4323–4346, https://doi.org/10.5194/hess-21-4323-2017, https://doi.org/10.5194/hess-21-4323-2017, 2017
Short summary
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We inspect the state-of-the-art of several land surface (LSMs) and hydrologic models (HMs) and show that most do not have consistent and realistic parameter fields for land surface geophysical properties. We propose to use the multiscale parameter regionalization (MPR) technique to solve, at least partly, the scaling problem in LSMs/HMs. A general model protocol is presented to describe how MPR can be applied to a specific model.
Simone Gelsinari, Valentijn R. N. Pauwels, Edoardo Daly, Jos van Dam, Remko Uijlenhoet, and Rebecca Doble
Hydrol. Earth Syst. Sci. Discuss., https://doi.org/10.5194/hess-2020-252, https://doi.org/10.5194/hess-2020-252, 2020
Preprint under review for HESS
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Short summary
Estimates of recharge to groundwater are often driven by biophysical processes occurring in the soil column and, particularly in remote areas, are also always affected by uncertainty. Use data assimilation techniques to merge remotely sensed observations with outputs of numerical models is one way to reduce this uncertainty. Here, we show the benefits of using such a technique with satellite evapotranspiration rates and coupled hydrogeological models applied to a semi-arid site in Australia.
Manuela I. Brunner, Lieke A. Melsen, Andrew W. Wood, Oldrich Rakovec, Naoki Mizukami, Wouter J. M. Knoben, and Martyn P. Clark
Hydrol. Earth Syst. Sci. Discuss., https://doi.org/10.5194/hess-2020-192, https://doi.org/10.5194/hess-2020-192, 2020
Preprint under review for HESS
Short summary
Short summary
Assessments of current, local and regional flood hazards and their future changes often involve the use of hydrologic models. A reliable model ideally reproduces both local flood characteristics and spatial aspects of flooding. In this paper we investigate how such characteristics are represented by hydrologic models. Our results show that both the modeling of local and spatial flood characteristics is challenging and suggest that the development of new evaluation metrics is necessary.
Laurène J. E. Bouaziz, Guillaume Thirel, Tanja de Boer-Euser, Lieke A. Melsen, Joost Buitink, Claudia C. Brauer, Jan De Niel, Sotirios Moustakas, Patrick Willems, Benjamin Grelier, Gilles Drogue, Fabrizio Fenicia, Jiri Nossent, Fernando Pereira, Eric Sprokkereef, Jasper Stam, Benjamin J. Dewals, Albrecht H. Weerts, Hubert H. G. Savenije, and Markus Hrachowitz
Hydrol. Earth Syst. Sci. Discuss., https://doi.org/10.5194/hess-2020-176, https://doi.org/10.5194/hess-2020-176, 2020
Revised manuscript under review for HESS
Short summary
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We quantify the differences in internal states and fluxes of twelve process-based models with similar streamflow performance and assess their plausibility using remotely-sensed estimates of evaporation, snow cover, soil moisture and total storage anomalies. The dissimilarities in internal process representation imply that these models cannot all simultaneously be close to reality. Therefore, we invite modelers to evaluate their models using multiple variables and to rely on multi-model studies.
Thomas C. van Leth, Hidde Leijnse, Aart Overeem, and Remko Uijlenhoet
Atmos. Meas. Tech., 13, 1797–1815, https://doi.org/10.5194/amt-13-1797-2020, https://doi.org/10.5194/amt-13-1797-2020, 2020
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We present a method of using collocated microwave link instruments to estimate the average size distribution of raindrops along a path of several kilometers. Our method is validated using simulated fields as well as five laser disdrometers installed along a path. We also present preliminary results from an experimental setup measuring at 26 and 38 GHz along a 2.2 km path. We show that a retrieval on the basis of microwave links can be highly accurate, provided the base power level is stable.
Miao Jing, Rohini Kumar, Falk Heße, Stephan Thober, Oldrich Rakovec, Luis Samaniego, and Sabine Attinger
Hydrol. Earth Syst. Sci., 24, 1511–1526, https://doi.org/10.5194/hess-24-1511-2020, https://doi.org/10.5194/hess-24-1511-2020, 2020
Short summary
Short summary
This study investigates the response of regional groundwater system to the climate change under three global warming levels (1.5, 2, and 3 °C) in a central German basin. A comprehensive uncertainty analysis is also presented. This study indicates that the variability of responses increases with the amount of global warming, which might affect the cost of managing the groundwater system.
Jolijn van Engelenburg, Erik van Slobbe, Adriaan J. Teuling, Remko Uijlenhoet, and Petra Hellegers
Drink. Water Eng. Sci. Discuss., https://doi.org/10.5194/dwes-2020-8, https://doi.org/10.5194/dwes-2020-8, 2020
Revised manuscript under review for DWES
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This study analysed the impact of an extreme weather event, water quality deterioration and a growing drinking water demand on the sustainability of drinking water supply in the Netherlands. The results of the case studies were compared to sustainability issues for drinking water supply that are experienced worldwide. This resulted in a set of sustainability characteristics, describing drinking water supply on a local scale in terms of hydrological, technical and socio-economic characteristics.
Adrien Guyot, Jayaram Pudashine, Alain Protat, Remko Uijlenhoet, Valentijn R. N. Pauwels, Alan Seed, and Jeffrey P. Walker
Hydrol. Earth Syst. Sci., 23, 4737–4761, https://doi.org/10.5194/hess-23-4737-2019, https://doi.org/10.5194/hess-23-4737-2019, 2019
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We characterised for the first time the rainfall microphysics for Southern Hemisphere temperate latitudes. Co-located instruments were deployed to provide information on the sampling effect and spatio-temporal variabilities at micro scales. Substantial differences were found across the instruments, increasing with increasing values of the rain rate. Specific relations for reflectivity–rainfall are presented together with related uncertainties for drizzle and stratiform and convective rainfall.
Naoki Mizukami, Oldrich Rakovec, Andrew J. Newman, Martyn P. Clark, Andrew W. Wood, Hoshin V. Gupta, and Rohini Kumar
Hydrol. Earth Syst. Sci., 23, 2601–2614, https://doi.org/10.5194/hess-23-2601-2019, https://doi.org/10.5194/hess-23-2601-2019, 2019
Short summary
Short summary
We find that Nash–Sutcliffe (NSE)-based model calibrations result in poor reproduction of high-flow events, such as the annual peak flows that are used for flood frequency estimation. The use of Kling–Gupta efficiency (KGE) results in annual peak flow estimates that are better than from NSE, with only a slight degradation in performance with respect to other related metrics.
Imme Benedict, Chiel C. van Heerwaarden, Albrecht H. Weerts, and Wilco Hazeleger
Hydrol. Earth Syst. Sci., 23, 1779–1800, https://doi.org/10.5194/hess-23-1779-2019, https://doi.org/10.5194/hess-23-1779-2019, 2019
Short summary
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The spatial resolution of global climate models (GCMs) and global hydrological models (GHMs) is increasing. This model study examines the benefits of a very high-resolution GCM and GHM in representing the hydrological cycle in the Rhine and Mississippi basins. We find that a higher-resolution GCM results in an improved precipitation budget, and therefore an improved hydrological cycle for the Rhine. For the Mississippi, no substantial improvements are found with increased resolution.
Joost Buitink, Remko Uijlenhoet, and Adriaan J. Teuling
Hydrol. Earth Syst. Sci., 23, 1593–1609, https://doi.org/10.5194/hess-23-1593-2019, https://doi.org/10.5194/hess-23-1593-2019, 2019
Short summary
Short summary
This study describes how the spatial resolution of hydrological models affects the model results. The high-resolution model allowed for more spatial variability than the low-resolution model. As a result, the low-resolution model failed to capture most variability that was simulated with the high-resolution model. This has implications for the interpretation of results carried out at coarse resolutions, as they may fail to represent the local small-scale variability.
Bart van Osnabrugge, Remko Uijlenhoet, and Albrecht Weerts
Hydrol. Earth Syst. Sci., 23, 1453–1467, https://doi.org/10.5194/hess-23-1453-2019, https://doi.org/10.5194/hess-23-1453-2019, 2019
Short summary
Short summary
A correct estimate of the amount of future precipitation is the most important factor in making a good streamflow forecast, but evaporation is also an important component that determines the discharge of a river. However, in this study for the Rhine River we found that evaporation forecasts only give an almost negligible improvement compared to methods that use statistical information on climatology for a 10-day streamflow forecast. This is important to guide research on low flow forecasts.
Laurène Bouaziz, Albrecht Weerts, Jaap Schellekens, Eric Sprokkereef, Jasper Stam, Hubert Savenije, and Markus Hrachowitz
Hydrol. Earth Syst. Sci., 22, 6415–6434, https://doi.org/10.5194/hess-22-6415-2018, https://doi.org/10.5194/hess-22-6415-2018, 2018
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We quantify net intercatchment groundwater flows in the Meuse basin in a complementary three-step approach through (1) water budget accounting, (2) testing a set of conceptual hydrological models and (3) evaluating against remote sensing actual evaporation data. We show that net intercatchment groundwater flows can make up as much as 25 % of mean annual precipitation in the headwaters and should therefore be accounted for in conceptual models to prevent overestimating actual evaporation rates.
Tjitske J. Geertsema, Adriaan J. Teuling, Remko Uijlenhoet, Paul J. J. F. Torfs, and Antonius J. F. Hoitink
Hydrol. Earth Syst. Sci., 22, 5599–5613, https://doi.org/10.5194/hess-22-5599-2018, https://doi.org/10.5194/hess-22-5599-2018, 2018
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This study investigate the processes and effects of simultaneous flood peaks at a lowland confluence. The flood peaks are analyzed with the relatively new dynamic time warping method, which offers a robust means of tracing flood waves in discharge time series at confluences. The time lag between discharge peaks in the main river and its lowland tributaries is small compared to the wave duration; therefore the exact timing of discharge peaks may be little relevant to flood risk.
Albert I. J. M. van Dijk, Jaap Schellekens, Marta Yebra, Hylke E. Beck, Luigi J. Renzullo, Albrecht Weerts, and Gennadii Donchyts
Hydrol. Earth Syst. Sci., 22, 4959–4980, https://doi.org/10.5194/hess-22-4959-2018, https://doi.org/10.5194/hess-22-4959-2018, 2018
Short summary
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Evaporation from wetlands, lakes and irrigation areas needs to be measured to understand water scarcity. So far, this has only been possible for small regions. Here, we develop a solution that can be applied at a very high resolution globally by making use of satellite observations. Our results show that 16% of global water resources evaporate before reaching the ocean, mostly from surface water. Irrigation water use is less than 1% globally but is a very large water user in several dry basins.
David R. Casson, Micha Werner, Albrecht Weerts, and Dimitri Solomatine
Hydrol. Earth Syst. Sci., 22, 4685–4697, https://doi.org/10.5194/hess-22-4685-2018, https://doi.org/10.5194/hess-22-4685-2018, 2018
Short summary
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In high-latitude (> 60° N) watersheds, measuring the snowpack and predicting of snowmelt runoff are uncertain due to the lack of data and complex physical processes. This provides challenges for hydrological assessment and operational water management. Global re-analysis datasets have great potential to aid in snowpack representation and snowmelt prediction when combined with a distributed hydrological model, though they still have clear limitations in remote boreal forest and tundra environments.
Anouk I. Gevaert, Luigi J. Renzullo, Albert I. J. M. van Dijk, Hans J. van der Woerd, Albrecht H. Weerts, and Richard A. M. de Jeu
Hydrol. Earth Syst. Sci., 22, 4605–4619, https://doi.org/10.5194/hess-22-4605-2018, https://doi.org/10.5194/hess-22-4605-2018, 2018
Short summary
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We assimilated three satellite soil moisture retrievals based on different microwave frequencies into a hydrological model. Two sets of experiments were performed, first assimilating the retrievals individually and then assimilating each set of two retrievals jointly. Overall, assimilation improved agreement between model and field-measured soil moisture. Joint assimilation resulted in model performance similar to or better than assimilating either retrieval individually.
Thomas C. van Leth, Aart Overeem, Hidde Leijnse, and Remko Uijlenhoet
Atmos. Meas. Tech., 11, 4645–4669, https://doi.org/10.5194/amt-11-4645-2018, https://doi.org/10.5194/amt-11-4645-2018, 2018
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We present a campaign to address several error sources associated with rainfall estimates from microwave links in cellular communication networks. The set-up consists of three co-located links, complemented with reference instruments. We investigate events covering different attenuating phenomena: Rainfall, solid precipitation, temperature, fog, antenna wetting due to rain or dew, and clutter.
Manuel F. Rios Gaona, Aart Overeem, Timothy H. Raupach, Hidde Leijnse, and Remko Uijlenhoet
Atmos. Meas. Tech., 11, 4465–4476, https://doi.org/10.5194/amt-11-4465-2018, https://doi.org/10.5194/amt-11-4465-2018, 2018
Short summary
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Rainfall estimates from commercial microwave links were obtained for the city of Sao Paulo (Brazil). The results show the potential of such networks as complementary rainfall measurements for more robust networks (e.g. radars, gauges, satellites).
Lieke A. Melsen, Nans Addor, Naoki Mizukami, Andrew J. Newman, Paul J. J. F. Torfs, Martyn P. Clark, Remko Uijlenhoet, and Adriaan J. Teuling
Hydrol. Earth Syst. Sci., 22, 1775–1791, https://doi.org/10.5194/hess-22-1775-2018, https://doi.org/10.5194/hess-22-1775-2018, 2018
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Long-term hydrological predictions are important for water management planning, but are also prone to uncertainty. This study investigates three sources of uncertainty for long-term hydrological predictions in the US: climate models, hydrological models, and hydrological model parameters. Mapping the results revealed spatial patterns in the three sources of uncertainty: different sources of uncertainty dominate in different regions.
Fabio Sai, Lydia Cumiskey, Albrecht Weerts, Biswa Bhattacharya, and Raihanul Haque Khan
Nat. Hazards Earth Syst. Sci. Discuss., https://doi.org/10.5194/nhess-2018-26, https://doi.org/10.5194/nhess-2018-26, 2018
Revised manuscript not accepted
Short summary
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The research tackled the challenge of flood impact-based forecasting and service for Bangladesh by proposing an approach based on colour coded as mean for linking forecasted water levels to possible impacts. This was tested at the local level and, although limited to the case study, the results encouraged us to share our outcomes for triggering interest in such approach and to foster further research aimed to move it forward.
Andreas Marx, Rohini Kumar, Stephan Thober, Oldrich Rakovec, Niko Wanders, Matthias Zink, Eric F. Wood, Ming Pan, Justin Sheffield, and Luis Samaniego
Hydrol. Earth Syst. Sci., 22, 1017–1032, https://doi.org/10.5194/hess-22-1017-2018, https://doi.org/10.5194/hess-22-1017-2018, 2018
Short summary
Short summary
Hydrological low flows are affected under different levels of future global warming (i.e. 1.5, 2, and 3 K). The multi-model ensemble results show that the change signal amplifies with increasing warming levels. Low flows decrease in the Mediterranean, while they increase in the Alpine and Northern regions. The changes in low flows are significant for regions with relatively large change signals and under higher levels of warming. Adaptation should make use of change and uncertainty information.
Joost Buitink, Remko Uijlenhoet, and Adriaan J. Teuling
Hydrol. Earth Syst. Sci. Discuss., https://doi.org/10.5194/hess-2017-629, https://doi.org/10.5194/hess-2017-629, 2017
Revised manuscript not accepted
Short summary
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We compared the hydrological response simulated at two different spatial resolutions. The low resolution model was not able to simulate the complex response as was simulated with the high resolution model. The low resolution model underestimated the anomalies when compared with the high resolution model. This has implications on the interpretation of global scale impact studies (low resolution) on local or regional scales (high resolution).
Imme Benedict, Chiel C. van Heerwaarden, Albrecht H. Weerts, and Wilco Hazeleger
Hydrol. Earth Syst. Sci. Discuss., https://doi.org/10.5194/hess-2017-473, https://doi.org/10.5194/hess-2017-473, 2017
Revised manuscript not accepted
Short summary
Short summary
The spatial resolution of global climate models (GCMs) and global hydrological models (GHMs) is increasing. This study examines the benefits of a very high resolution GCM and GHM on representing the hydrological cycle in the Rhine and Mississippi basin. We conclude that increasing the resolution of a GCM is the most straightforward route to better precipitation and thereby discharge results, although this is depending on the climatic drivers of the basin.
Luis Samaniego, Rohini Kumar, Stephan Thober, Oldrich Rakovec, Matthias Zink, Niko Wanders, Stephanie Eisner, Hannes Müller Schmied, Edwin H. Sutanudjaja, Kirsten Warrach-Sagi, and Sabine Attinger
Hydrol. Earth Syst. Sci., 21, 4323–4346, https://doi.org/10.5194/hess-21-4323-2017, https://doi.org/10.5194/hess-21-4323-2017, 2017
Short summary
Short summary
We inspect the state-of-the-art of several land surface (LSMs) and hydrologic models (HMs) and show that most do not have consistent and realistic parameter fields for land surface geophysical properties. We propose to use the multiscale parameter regionalization (MPR) technique to solve, at least partly, the scaling problem in LSMs/HMs. A general model protocol is presented to describe how MPR can be applied to a specific model.
Naze Candogan Yossef, Rens van Beek, Albrecht Weerts, Hessel Winsemius, and Marc F. P. Bierkens
Hydrol. Earth Syst. Sci., 21, 4103–4114, https://doi.org/10.5194/hess-21-4103-2017, https://doi.org/10.5194/hess-21-4103-2017, 2017
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This paper presents a skill assessment of the global seasonal streamflow forecasting system FEWS-World. For 20 large basins of the world, forecasts using the ESP procedure are compared to forecasts using actual S3 seasonal meteorological forecast ensembles by ECMWF. The results are discussed in the context of prevailing hydroclimatic conditions per basin. The study concludes that in general, the skill of ECMWF S3 forecasts is close to that of the ESP forecasts.
Omar Wani, Joost V. L. Beckers, Albrecht H. Weerts, and Dimitri P. Solomatine
Hydrol. Earth Syst. Sci., 21, 4021–4036, https://doi.org/10.5194/hess-21-4021-2017, https://doi.org/10.5194/hess-21-4021-2017, 2017
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We generate uncertainty intervals for hydrologic model predictions using a simple instance-based learning scheme. Errors made by the model in some specific hydrometeorological conditions in the past are used to predict the probability distribution of its errors during forecasting. We test it for two different case studies in England. We find that this technique, even though conceptually simple and easy to implement, performs as well as some other sophisticated uncertainty estimation methods.
Matthew F. McCabe, Matthew Rodell, Douglas E. Alsdorf, Diego G. Miralles, Remko Uijlenhoet, Wolfgang Wagner, Arko Lucieer, Rasmus Houborg, Niko E. C. Verhoest, Trenton E. Franz, Jiancheng Shi, Huilin Gao, and Eric F. Wood
Hydrol. Earth Syst. Sci., 21, 3879–3914, https://doi.org/10.5194/hess-21-3879-2017, https://doi.org/10.5194/hess-21-3879-2017, 2017
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We examine the opportunities and challenges that technological advances in Earth observation will present to the hydrological community. From advanced space-based sensors to unmanned aerial vehicles and ground-based distributed networks, these emergent systems are set to revolutionize our understanding and interpretation of hydrological and related processes.
Christa D. Peters-Lidard, Martyn Clark, Luis Samaniego, Niko E. C. Verhoest, Tim van Emmerik, Remko Uijlenhoet, Kevin Achieng, Trenton E. Franz, and Ross Woods
Hydrol. Earth Syst. Sci., 21, 3701–3713, https://doi.org/10.5194/hess-21-3701-2017, https://doi.org/10.5194/hess-21-3701-2017, 2017
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In this synthesis of hydrologic scaling and similarity, we assert that it is time for hydrology to embrace a fourth paradigm of data-intensive science. Advances in information-based hydrologic science, coupled with an explosion of hydrologic data and advances in parameter estimation and modeling, have laid the foundation for a data-driven framework for scrutinizing hydrological hypotheses. We call upon the community to develop a focused effort towards a fourth paradigm for hydrology.
Martyn P. Clark, Marc F. P. Bierkens, Luis Samaniego, Ross A. Woods, Remko Uijlenhoet, Katrina E. Bennett, Valentijn R. N. Pauwels, Xitian Cai, Andrew W. Wood, and Christa D. Peters-Lidard
Hydrol. Earth Syst. Sci., 21, 3427–3440, https://doi.org/10.5194/hess-21-3427-2017, https://doi.org/10.5194/hess-21-3427-2017, 2017
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The diversity in hydrologic models has led to controversy surrounding the “correct” approach to hydrologic modeling. In this paper we revisit key modeling challenges on requirements to (1) define suitable model equations, (2) define adequate model parameters, and (3) cope with limitations in computing power. We outline the historical modeling challenges, summarize modeling advances that address these challenges, and define outstanding research needs.
Hidayat Hidayat, Adriaan J. Teuling, Bart Vermeulen, Muh Taufik, Karl Kastner, Tjitske J. Geertsema, Dinja C. C. Bol, Dirk H. Hoekman, Gadis Sri Haryani, Henny A. J. Van Lanen, Robert M. Delinom, Roel Dijksma, Gusti Z. Anshari, Nining S. Ningsih, Remko Uijlenhoet, and Antonius J. F. Hoitink
Hydrol. Earth Syst. Sci., 21, 2579–2594, https://doi.org/10.5194/hess-21-2579-2017, https://doi.org/10.5194/hess-21-2579-2017, 2017
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Hydrological prediction is crucial but in tropical lowland it is difficult, considering data scarcity and river system complexity. This study offers a view of the hydrology of two tropical lowlands in Indonesia. Both lowlands exhibit the important role of upstream wetlands in regulating the flow downstream. We expect that this work facilitates a better prediction of fire-prone conditions in these regions.
Lotte de Vos, Hidde Leijnse, Aart Overeem, and Remko Uijlenhoet
Hydrol. Earth Syst. Sci., 21, 765–777, https://doi.org/10.5194/hess-21-765-2017, https://doi.org/10.5194/hess-21-765-2017, 2017
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Recent developments have made it possible to easily crowdsource meteorological measurements from automatic personal weather stations worldwide. This has offered free access to rainfall ground measurements at spatial and temporal resolutions far exceeding those of national operational sensor networks, especially in cities. This paper is the first step to make optimal use of this promising source of rainfall measurements and identify challenges for future implementation for urban applications.
Anne F. Van Loon, Kerstin Stahl, Giuliano Di Baldassarre, Julian Clark, Sally Rangecroft, Niko Wanders, Tom Gleeson, Albert I. J. M. Van Dijk, Lena M. Tallaksen, Jamie Hannaford, Remko Uijlenhoet, Adriaan J. Teuling, David M. Hannah, Justin Sheffield, Mark Svoboda, Boud Verbeiren, Thorsten Wagener, and Henny A. J. Van Lanen
Hydrol. Earth Syst. Sci., 20, 3631–3650, https://doi.org/10.5194/hess-20-3631-2016, https://doi.org/10.5194/hess-20-3631-2016, 2016
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In the Anthropocene, drought cannot be viewed as a natural hazard independent of people. Drought can be alleviated or made worse by human activities and drought impacts are dependent on a myriad of factors. In this paper, we identify research gaps and suggest a framework that will allow us to adequately analyse and manage drought in the Anthropocene. We need to focus on attribution of drought to different drivers, linking drought to its impacts, and feedbacks between drought and society.
C. Z. van de Beek, H. Leijnse, P. Hazenberg, and R. Uijlenhoet
Atmos. Meas. Tech., 9, 3837–3850, https://doi.org/10.5194/amt-9-3837-2016, https://doi.org/10.5194/amt-9-3837-2016, 2016
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Quantitative precipitation estimation using weather radar is affected by many sources of error. This study is an attempt to separate and quantify sources of error very close to the radar. A 3-day event is analyzed using radar, rain gauge and disdrometer data. Without correction, the radar severely underestimates the total rain amount by more than 50 %. After correction for the errors, a good match with rain gauge measurements is found, with 5 to 8 % difference.
Joost V. L. Beckers, Albrecht H. Weerts, Erik Tijdeman, and Edwin Welles
Hydrol. Earth Syst. Sci., 20, 3277–3287, https://doi.org/10.5194/hess-20-3277-2016, https://doi.org/10.5194/hess-20-3277-2016, 2016
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Oceanic–atmospheric climate modes, such as El Niño–Southern Oscillation (ENSO), are known to affect the streamflow regime in many rivers around the world. A new method is presented for ENSO conditioning of the ensemble streamflow prediction (ESP) method, which is often used for seasonal streamflow forecasting. The method was tested on three tributaries of the Columbia River, OR. Results show an improvement in forecast skill compared to the standard ESP.
Lieke Melsen, Adriaan Teuling, Paul Torfs, Massimiliano Zappa, Naoki Mizukami, Martyn Clark, and Remko Uijlenhoet
Hydrol. Earth Syst. Sci., 20, 2207–2226, https://doi.org/10.5194/hess-20-2207-2016, https://doi.org/10.5194/hess-20-2207-2016, 2016
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In this study we investigated the sensitivity of a large-domain hydrological model for spatial and temporal resolution. We evaluated the results on a mesoscale catchment in Switzerland. Our results show that the model was hardly sensitive for the spatial resolution, which implies that spatial variability is likely underestimated. Our results provide a motivation to improve the representation of spatial variability in hydrological models in order to increase their credibility on a smaller scale.
Aart Overeem, Hidde Leijnse, and Remko Uijlenhoet
Atmos. Meas. Tech., 9, 2425–2444, https://doi.org/10.5194/amt-9-2425-2016, https://doi.org/10.5194/amt-9-2425-2016, 2016
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Microwave links in commercial cellular communication networks hold a promise for areal rainfall monitoring and could complement rainfall estimates from ground-based weather radars, rain gauges, and satellites. It has been shown that country-wide rainfall maps can be derived from the signal attenuations of microwave links in such a network. Here we give a detailed description of the employed rainfall retrieval algorithm and the corresponding code, which is freely provided at GitHub.
Lieke A. Melsen, Adriaan J. Teuling, Paul J. J. F. Torfs, Remko Uijlenhoet, Naoki Mizukami, and Martyn P. Clark
Hydrol. Earth Syst. Sci., 20, 1069–1079, https://doi.org/10.5194/hess-20-1069-2016, https://doi.org/10.5194/hess-20-1069-2016, 2016
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A meta-analysis on 192 peer-reviewed articles reporting applications of a land surface model in a distributed way reveals that the spatial resolution at which the model is applied has increased over the years, while the calibration and validation time interval has remained unchanged. We argue that the calibration and validation time interval should keep pace with the increase in spatial resolution in order to resolve the processes that are relevant at the applied spatial resolution.
M. F. Rios Gaona, A. Overeem, H. Leijnse, and R. Uijlenhoet
Hydrol. Earth Syst. Sci., 19, 3571–3584, https://doi.org/10.5194/hess-19-3571-2015, https://doi.org/10.5194/hess-19-3571-2015, 2015
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Commercial cellular networks are built for telecommunication purposes. These kinds of networks have lately been used to obtain rainfall maps at country-wide scales. From previous studies, we now quantify the uncertainties associated with such maps. To do so, we divided the sources or error into two categories: from microwave link measurements and from mapping. It was found that the former is the source that contributes the most to the overall error in rainfall maps from microwave link network.
N. Dogulu, P. López López, D. P. Solomatine, A. H. Weerts, and D. L. Shrestha
Hydrol. Earth Syst. Sci., 19, 3181–3201, https://doi.org/10.5194/hess-19-3181-2015, https://doi.org/10.5194/hess-19-3181-2015, 2015
N. Tangdamrongsub, S. C. Steele-Dunne, B. C. Gunter, P. G. Ditmar, and A. H. Weerts
Hydrol. Earth Syst. Sci., 19, 2079–2100, https://doi.org/10.5194/hess-19-2079-2015, https://doi.org/10.5194/hess-19-2079-2015, 2015
A. Hally, O. Caumont, L. Garrote, E. Richard, A. Weerts, F. Delogu, E. Fiori, N. Rebora, A. Parodi, A. Mihalović, M. Ivković, L. Dekić, W. van Verseveld, O. Nuissier, V. Ducrocq, D. D'Agostino, A. Galizia, E. Danovaro, and A. Clematis
Nat. Hazards Earth Syst. Sci., 15, 537–555, https://doi.org/10.5194/nhess-15-537-2015, https://doi.org/10.5194/nhess-15-537-2015, 2015
C. C. Brauer, P. J. J. F. Torfs, A. J. Teuling, and R. Uijlenhoet
Hydrol. Earth Syst. Sci., 18, 4007–4028, https://doi.org/10.5194/hess-18-4007-2014, https://doi.org/10.5194/hess-18-4007-2014, 2014
C. C. Brauer, A. J. Teuling, P. J. J. F. Torfs, and R. Uijlenhoet
Geosci. Model Dev., 7, 2313–2332, https://doi.org/10.5194/gmd-7-2313-2014, https://doi.org/10.5194/gmd-7-2313-2014, 2014
A. I. Gevaert, A. J. Teuling, R. Uijlenhoet, S. B. DeLong, T. E. Huxman, L. A. Pangle, D. D. Breshears, J. Chorover, J. D. Pelletier, S. R. Saleska, X. Zeng, and P. A. Troch
Hydrol. Earth Syst. Sci., 18, 3681–3692, https://doi.org/10.5194/hess-18-3681-2014, https://doi.org/10.5194/hess-18-3681-2014, 2014
P. López López, J. S. Verkade, A. H. Weerts, and D. P. Solomatine
Hydrol. Earth Syst. Sci., 18, 3411–3428, https://doi.org/10.5194/hess-18-3411-2014, https://doi.org/10.5194/hess-18-3411-2014, 2014
D. Leedal, A. H. Weerts, P. J. Smith, and K. J. Beven
Hydrol. Earth Syst. Sci., 17, 177–185, https://doi.org/10.5194/hess-17-177-2013, https://doi.org/10.5194/hess-17-177-2013, 2013
Related subject area
Subject: Water Resources Management | Techniques and Approaches: Modelling approaches
The benefit of using an ensemble of seasonal streamflow forecasts in water allocation decisions
Evapotranspiration partition using the multiple energy balance version of the ISBA-A-gs land surface model over two irrigated crops in a semi-arid Mediterranean region (Marrakech, Morocco)
Irrigation return flow causing a nitrate hotspot and denitrification imprints in groundwater at Tinwald, New Zealand
Multi-objective calibration by combination of stochastic and gradient-like parameter generation rules – the caRamel algorithm
A novel data-driven analytical framework on hierarchical water allocation integrated with blue and virtual water transfers
A novel regional irrigation water productivity model coupling irrigation- and drainage-driven soil hydrology and salinity dynamics and shallow groundwater movement in arid regions in China
Interplay of changing irrigation technologies and water reuse: Example from the Upper Snake River Basin, Idaho, USA
An evapotranspiration model self-calibrated from remotely sensed surface soil moisture, land surface temperature and vegetation cover fraction: application to disaggregated SMOS and MODIS data
On the assimilation of environmental tracer observations for model-based decision support
Inferred inflow forecast horizons guiding reservoir release decisions across the United States
Assessment of potential implications of agricultural irrigation policy on surface water scarcity in Brazil
Ability of a soil–vegetation–atmosphere transfer model and a two-source energy balance model to predict evapotranspiration for several crops and climate conditions
Assessing water security in the São Paulo metropolitan region under projected climate change
WHAT-IF: an open-source decision support tool for water infrastructure investment planning within the water–energy–food–climate nexus
Methodology based on modelling processes and the characterisation of natural flows for risk assessment and water management under the influence of climate change
Representation and improved parameterization of reservoir operation in hydrological and land-surface models
Water restrictions under climate change: a Rhône–Mediterranean perspective combining bottom-up and top-down approaches
Quantifying thermal refugia connectivity by combining temperature modeling, distributed temperature sensing, and thermal infrared imaging
Reconstructed natural runoff helps to quantify the relationship between upstream water use and downstream water scarcity in China's river basins
Can global precipitation datasets benefit the estimation of the area to be cropped in irrigated agriculture?
Seasonal drought prediction for semiarid northeast Brazil: what is the added value of a process-based hydrological model?
Characterizing the potential for drought action from combined hydrological and societal perspectives
Incorporating the logistic regression into a decision-centric assessment of climate change impacts on a complex river system
Assessment of food trade impacts on water, food, and land security in the MENA region
Assessing the effect of flood restoration on surface–subsurface interactions in Rohrschollen Island (Upper Rhine river – France) using integrated hydrological modeling and thermal infrared imaging
Implications of water management representations for watershed hydrologic modeling in the Yakima River basin
Climate change vs. socio-economic development: understanding the future South Asian water gap
Do users benefit from additional information in support of operational drought management decisions in the Ebro basin?
Global phosphorus recovery from wastewater for agricultural reuse
Evaporation suppression and energy balance of water reservoirs covered with self-assembling floating elements
Developing a decision support tool for assessing land use change and BMPs in ungauged watersheds based on decision rules provided by SWAT simulation
Modeling the glacial lake outburst flood process chain in the Nepal Himalaya: reassessing Imja Tsho's hazard
Seasonal streamflow forecasting in the upper Indus Basin of Pakistan: an assessment of methods
Grey water footprint reduction in irrigated crop production: effect of nitrogen application rate, nitrogen form, tillage practice and irrigation strategy
Framework for developing hybrid process-driven, artificial neural network and regression models for salinity prediction in river systems
A spatially detailed blue water footprint of the United States economy
The development and evaluation of a hydrological seasonal forecast system prototype for predicting spring flood volumes in Swedish rivers
Basin-scale impacts of hydropower development on the Mompós Depression wetlands, Colombia
Automatic design of basin-specific drought indexes for highly regulated water systems
Assessment of actual evapotranspiration over a semiarid heterogeneous land surface by means of coupled low-resolution remote sensing data with an energy balance model: comparison to extra-large aperture scintillometer measurements
Reconstruction of global gridded monthly sectoral water withdrawals for 1971–2010 and analysis of their spatiotemporal patterns
Assessing impacts of dike construction on the flood dynamics of the Mekong Delta
Regional soil erosion assessment based on a sample survey and geostatistics
Norms and values in sociohydrological models
Rain concentration and sheltering effect of solar panels on cultivated plots
The river absorption capacity determination as a tool to evaluate state of surface water
Aerial and surface rivers: downwind impacts on water availability from land use changes in Amazonia
Quantifying human impacts on hydrological drought using a combined modelling approach in a tropical river basin in central Vietnam
Does objective cluster analysis serve as a useful precursor to seasonal precipitation prediction at local scale? Application to western Ethiopia
A coupled modeling framework for sustainable watershed management in transboundary river basins
Alexander Kaune, Faysal Chowdhury, Micha Werner, and James Bennett
Hydrol. Earth Syst. Sci., 24, 3851–3870, https://doi.org/10.5194/hess-24-3851-2020, https://doi.org/10.5194/hess-24-3851-2020, 2020
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This paper was developed from PhD research focused on assessing the value of using hydrological datasets in water resource management. Previous studies have assessed how well data can help in predicting river flows, but there is a lack of knowledge of how well data can help in water allocation decisions. In our research, it was found that using seasonal streamflow forecasts improves the available water estimates, resulting in better water allocation decisions in a highly regulated basin.
Ghizlane Aouade, Lionel Jarlan, Jamal Ezzahar, Salah Er-Raki, Adrien Napoly, Abdelfattah Benkaddour, Said Khabba, Gilles Boulet, Sébastien Garrigues, Abdelghani Chehbouni, and Aaron Boone
Hydrol. Earth Syst. Sci., 24, 3789–3814, https://doi.org/10.5194/hess-24-3789-2020, https://doi.org/10.5194/hess-24-3789-2020, 2020
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Our objective is to question the representation of the energy budget in surface–vegetation–atmosphere transfer models for the prediction of the convective fluxes in crops with complex structures (row) and under transient hydric regimes due to irrigation. The main result is that a coupled multiple energy balance approach is necessary to properly predict surface exchanges for these complex crops. It also points out the need for other similar studies on various crops with different sparsity levels.
Michael Kilgour Stewart and Philippa Lauren Aitchison-Earl
Hydrol. Earth Syst. Sci., 24, 3583–3601, https://doi.org/10.5194/hess-24-3583-2020, https://doi.org/10.5194/hess-24-3583-2020, 2020
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This paper is important for water resource management, being concerned with irrigation return flow causing
hotspotsin nitrate concentrations in groundwater and
denitrification imprintswhere nitrate concentrations are reduced by denitrification although the dissolved oxygen concentration is not low. The work is highly significant for modelling of nitrate transport through soil–groundwater systems, for understanding denitrification processes, and for managing fertilizer application to land.
Céline Monteil, Fabrice Zaoui, Nicolas Le Moine, and Frédéric Hendrickx
Hydrol. Earth Syst. Sci., 24, 3189–3209, https://doi.org/10.5194/hess-24-3189-2020, https://doi.org/10.5194/hess-24-3189-2020, 2020
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Environmental modelling is complex, and models often require the calibration of several parameters that are not able to be directly evaluated from a physical quantity or a field measurement. Based on our experience in hydrological modelling, we propose combining two algorithms to obtain a fast and accurate way of calibrating complex models (many parameters and many objectives). We built an R package, caRamel, so that this multi-objective calibration algorithm can be easily implemented.
Liming Yao, Zhongwen Xu, Huijuan Wu, and Xudong Chen
Hydrol. Earth Syst. Sci., 24, 2769–2789, https://doi.org/10.5194/hess-24-2769-2020, https://doi.org/10.5194/hess-24-2769-2020, 2020
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Results show that coalitional strategy of blue and virtual water transfers can substantially save water and improve utilization efficiency without harming sectors' benefits and increasing ecological stresses. Under various polices, we use data-driven analysis to simulate hydrological and economic parameters, such as available water, crop import price, and water market price. Different water allocation and transfer results are obtained by adjusting hydrological and economic parameters.
Jingyuan Xue, Zailin Huo, Shuai Wang, Chaozi Wang, Ian White, Isaya Kisekka, Zhuping Sheng, Guanhua Huang, and Xu Xu
Hydrol. Earth Syst. Sci., 24, 2399–2418, https://doi.org/10.5194/hess-24-2399-2020, https://doi.org/10.5194/hess-24-2399-2020, 2020
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Due to increasing food demand and limited water resources, the quantification of the irrigation water productivity (IWP) is critical. Hydrological processes in irrigated areas differ in different watersheds owing to different irrigation–drainage activities, and this is more complex with shallow groundwater. Considering the complexity of the IWP, we developed a regional IWP model to simulate its spatial distribution; this informs irrigation managers on where they can improve IWP and save water.
Shan Zuidema, Danielle Grogan, Alexander Prusevich, Richard Lammers, Sarah Gilmore, and Paula Williams
Hydrol. Earth Syst. Sci. Discuss., https://doi.org/10.5194/hess-2020-135, https://doi.org/10.5194/hess-2020-135, 2020
Revised manuscript accepted for HESS
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In our case study we find that increasing the efficiency of irrigation technology will have unintended consequences by reducing water available for aquifer replenishment or for other irrigators. The amount of water needed to stabilize regional aquifers exceeds the amount that could be
savedby improving irrigation efficiency. Since users depend upon local groundwater storage, which is more sensitive to management decisions than river flow, co-management of surface and groundwater is critical.
Bouchra Ait Hssaine, Olivier Merlin, Jamal Ezzahar, Nitu Ojha, Salah Er-Raki, and Said Khabba
Hydrol. Earth Syst. Sci., 24, 1781–1803, https://doi.org/10.5194/hess-24-1781-2020, https://doi.org/10.5194/hess-24-1781-2020, 2020
Matthew J. Knowling, Jeremy T. White, Catherine R. Moore, Pawel Rakowski, and Kevin Hayley
Hydrol. Earth Syst. Sci., 24, 1677–1689, https://doi.org/10.5194/hess-24-1677-2020, https://doi.org/10.5194/hess-24-1677-2020, 2020
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The incorporation of novel and diverse data sources into predictive models is expected to improve the reliability of model forecasts. This study critically and rigorously explores the extent to which this expectation holds given the imperfect nature of numerical models (and therefore their compromised ability to appropriately assimilate information-rich data). We show that environmental tracer observations may be of variable benefit in reducing forecast uncertainty and may induce forecast bias.
Sean W. D. Turner, Wenwei Xu, and Nathalie Voisin
Hydrol. Earth Syst. Sci., 24, 1275–1291, https://doi.org/10.5194/hess-24-1275-2020, https://doi.org/10.5194/hess-24-1275-2020, 2020
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To understand human vulnerability to flood and drought risk across large regions, researchers increasingly use large-scale hydrological models that convert climate to river flows. These models include the important effects of river regulation by dams but do not currently capture dam operators' use of flow forecasts to mitigate risk. This research addresses this problem by developing an approach to infer the forecast horizons contributing to the operations of a large sample of dams.
Sebastian Multsch, Maarten S. Krol, Markus Pahlow, André L. C. Assunção, Alberto G. O. P. Barretto, Quirijn de Jong van Lier, and Lutz Breuer
Hydrol. Earth Syst. Sci., 24, 307–324, https://doi.org/10.5194/hess-24-307-2020, https://doi.org/10.5194/hess-24-307-2020, 2020
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Expanding irrigation in agriculture is one of Brazil's strategies to increase production. In this study the amount of water required to grow the main crops has been calculated and compared to the water that is available in rivers at least 95 % of the time. Future decisions regarding expanding irrigated cropping areas must, while intensifying production practices, consider the likely regional effects on water scarcity levels, in order to reach sustainable agricultural production.
Guillaume Bigeard, Benoit Coudert, Jonas Chirouze, Salah Er-Raki, Gilles Boulet, Eric Ceschia, and Lionel Jarlan
Hydrol. Earth Syst. Sci., 23, 5033–5058, https://doi.org/10.5194/hess-23-5033-2019, https://doi.org/10.5194/hess-23-5033-2019, 2019
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The purpose of our work is to estimate landscape evapotranspiration (ET) fluxes over agricultural areas by relying on two surface modeling approaches with increasing complexity and input data needs.
Both approaches, compared sequentially and over the entire crop cycle, showed quite similar performance except under developed vegetation and stressed conditions. This study helps lay the groundwork for exploring the complementarities between instantaneous and continuous ET mapping with TIR data.
Gabriela Chiquito Gesualdo, Paulo Tarso Oliveira, Dulce Buchala Bicca Rodrigues, and Hoshin Vijai Gupta
Hydrol. Earth Syst. Sci., 23, 4955–4968, https://doi.org/10.5194/hess-23-4955-2019, https://doi.org/10.5194/hess-23-4955-2019, 2019
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We investigate the influence of anticipated climate change on water security in the Jaguari Basin, which is the main source of freshwater for 9 million people in the São Paulo metropolitan region. Our findings indicate an expansion of the basin critical period, and identify October and November as the most vulnerable months. There is an urgent need to implement efficient mitigation and adaptation policies that recognize the annual pattern of variation between insecure and secure periods.
Raphaël Payet-Burin, Mikkel Kromann, Silvio Pereira-Cardenal, Kenneth Marc Strzepek, and Peter Bauer-Gottwein
Hydrol. Earth Syst. Sci., 23, 4129–4152, https://doi.org/10.5194/hess-23-4129-2019, https://doi.org/10.5194/hess-23-4129-2019, 2019
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We present an open-source tool for water infrastructure investment planning considering interrelations between the water, food, and energy systems. We apply it to the Zambezi River basin to evaluate economic impacts of hydropower and irrigation development plans. We find trade-offs between the development plans and sensitivity to uncertainties (e.g. climate change, carbon taxes, capital costs of solar technologies, environmental policies) demonstrating the necessity for an integrated approach.
Sara Suárez-Almiñana, Abel Solera, Jaime Madrigal, Joaquín Andreu, and Javier Paredes-Arquiola
Hydrol. Earth Syst. Sci. Discuss., https://doi.org/10.5194/hess-2019-496, https://doi.org/10.5194/hess-2019-496, 2019
Revised manuscript accepted for HESS
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This work responds to the need of an effective methodology that integrates the climate change projections into water planning and management to guide complex basin decision-making. This general approach is based on a model chain for drought risk and management assessments. In this case, it was adapted to the Júcar River Basin (east of Spain), which showed a worrying decreasing trend in the basin's future water resources, despite the considerable uncertainty of results from mid-century onwards.
Fuad Yassin, Saman Razavi, Mohamed Elshamy, Bruce Davison, Gonzalo Sapriza-Azuri, and Howard Wheater
Hydrol. Earth Syst. Sci., 23, 3735–3764, https://doi.org/10.5194/hess-23-3735-2019, https://doi.org/10.5194/hess-23-3735-2019, 2019
Eric Sauquet, Bastien Richard, Alexandre Devers, and Christel Prudhomme
Hydrol. Earth Syst. Sci., 23, 3683–3710, https://doi.org/10.5194/hess-23-3683-2019, https://doi.org/10.5194/hess-23-3683-2019, 2019
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This study aims to identify catchments and the associated water uses vulnerable to climate change. Vulnerability is considered here to be the likelihood of water restrictions which are unacceptable for agricultural uses. This study provides the first regional analysis of the stated water restrictions, highlighting heterogeneous decision-making processes; data from a national system of compensation to farmers for uninsurable damages were used to characterize past failure events.
Jessica R. Dzara, Bethany T. Neilson, and Sarah E. Null
Hydrol. Earth Syst. Sci., 23, 2965–2982, https://doi.org/10.5194/hess-23-2965-2019, https://doi.org/10.5194/hess-23-2965-2019, 2019
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In Nevada's Walker River, stream temperatures nearly always exceed optimal temperature thresholds for adult trout. We used high-resolution measured data to verify simulated stream temperatures and estimate the spatial distribution of cold-water pockets for fish. Irrigation return canals, beaver dams, and groundwater seeps were river features with cold-water, and the average distance between pockets of cold-water in this river was 2.8 km.
Xinyao Zhou, Yonghui Yang, Zhuping Sheng, and Yongqiang Zhang
Hydrol. Earth Syst. Sci., 23, 2491–2505, https://doi.org/10.5194/hess-23-2491-2019, https://doi.org/10.5194/hess-23-2491-2019, 2019
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Quantifying the impact of upstream water use on downstream water scarcity is critical for water management. Comparing natural and observed runoff in China's 12 basins, this study found surface water use increased 1.6 times for the 1970s-2000s, driving most arid and semi-arid (ASA) basins into water scarcity status. The water stress decreased downstream in ASA basins due to reduced upstream inflow since the 2000s. Upstream water use caused over a 30 % increase in water scarcity in ASA basins.
Alexander Kaune, Micha Werner, Patricia López López, Erasmo Rodríguez, Poolad Karimi, and Charlotte de Fraiture
Hydrol. Earth Syst. Sci., 23, 2351–2368, https://doi.org/10.5194/hess-23-2351-2019, https://doi.org/10.5194/hess-23-2351-2019, 2019
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The value of using longer periods of record of river discharge information from global precipitation datasets is assessed for irrigation area planning. Results show that for all river discharge simulations the benefit of choosing the irrigated area based on the 30 years of simulated data is higher compared to using only 5 years of observed discharge data. Hence, irrigated areas can be better planned using 30 years of river discharge information from global precipitation datasets.
Tobias Pilz, José Miguel Delgado, Sebastian Voss, Klaus Vormoor, Till Francke, Alexandre Cunha Costa, Eduardo Martins, and Axel Bronstert
Hydrol. Earth Syst. Sci., 23, 1951–1971, https://doi.org/10.5194/hess-23-1951-2019, https://doi.org/10.5194/hess-23-1951-2019, 2019
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This work investigates different model types for drought prediction in a dryland region. Consequently, the performances of seasonal reservoir volume forecasts derived by a process-based and a statistical hydrological model were evaluated. The process-based approach obtained lower accuracy while resolution and reliability of drought prediction were comparable. Initialisation of the process-based model is worthwhile for more in-depth analyses, provided adequate rainfall forecasts are available.
Erin Towler, Heather Lazrus, and Debasish PaiMazumder
Hydrol. Earth Syst. Sci., 23, 1469–1482, https://doi.org/10.5194/hess-23-1469-2019, https://doi.org/10.5194/hess-23-1469-2019, 2019
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Drought is a function of both natural and human influences, but fully characterizing the interactions between human and natural influences on drought remains challenging. To better characterize the drought feedback loop, this study combines hydrological and societal perspectives to characterize the potential for drought action. We discuss how the results can be used to reduce potential disagreement among stakeholders and promote sustainable water management.
Daeha Kim, Jong Ahn Chun, and Si Jung Choi
Hydrol. Earth Syst. Sci., 23, 1145–1162, https://doi.org/10.5194/hess-23-1145-2019, https://doi.org/10.5194/hess-23-1145-2019, 2019
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In this study, we proposed an approach for gauging the risks of non-successful water supply and environmental reliabilities varying across a large river basin. The proposed method enables the measurement of system robustness to climate change with consideration of conflicting stakeholder interests. We simply converted the expected system performance under climate stresses into binary outcomes and applied them to the logistic regressions. A case study for a South Korean river basin is provided.
Sang-Hyun Lee, Rabi H. Mohtar, and Seung-Hwan Yoo
Hydrol. Earth Syst. Sci., 23, 557–572, https://doi.org/10.5194/hess-23-557-2019, https://doi.org/10.5194/hess-23-557-2019, 2019
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In this study, we quantified the holistic impacts of food trade on food security and water–land savings and revealed that the MENA region saved significant amounts of national water and land based on the import of barley, maize, rice, and wheat within the period from 2000 to 2012. In addition, the MENA region focused more on increasing the volume of virtual water imported during the period 2006–2012, yet little attention was paid to the expansion of connections with country exporters.
Benjamin Jeannot, Sylvain Weill, David Eschbach, Laurent Schmitt, and Frederick Delay
Hydrol. Earth Syst. Sci., 23, 239–254, https://doi.org/10.5194/hess-23-239-2019, https://doi.org/10.5194/hess-23-239-2019, 2019
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A hydrological model is used in combination with thermal measurements to investigate the effect of restoration actions in an artificial island of the Upper Rhine river. The injection of water in a newly built channel is efficient as it enhances overall hydrologic dynamics of the system with possible benefits for water quality and biodiversity. The combined use of the model and thermal measurements is also proven to be a relevant tool to study the effect of restoration on hydrological systems.
Jiali Qiu, Qichun Yang, Xuesong Zhang, Maoyi Huang, Jennifer C. Adam, and Keyvan Malek
Hydrol. Earth Syst. Sci., 23, 35–49, https://doi.org/10.5194/hess-23-35-2019, https://doi.org/10.5194/hess-23-35-2019, 2019
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Complex water management activities challenge hydrologic modeling. We evaluated how different representations of reservoir operation and agricultural irrigation affect streamflow simulations in the Yakima River basin. Results highlight the importance of the inclusion of reliable reservoir and irrigation information in watershed models for improving watershed hydrology modeling. Models used here are public and hold the promise to benefit water assessment and management in other basins.
René Reijer Wijngaard, Hester Biemans, Arthur Friedrich Lutz, Arun Bhakta Shrestha, Philippus Wester, and Walter Willem Immerzeel
Hydrol. Earth Syst. Sci., 22, 6297–6321, https://doi.org/10.5194/hess-22-6297-2018, https://doi.org/10.5194/hess-22-6297-2018, 2018
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This study assesses the combined impacts of climate change and socio-economic developments on the future water gap for the Indus, Ganges, and Brahmaputra river basins until the end of the 21st century. The results show that despite projected increases in surface water availability, the strong socio-economic development and associated increase in water demand will likely lead to an increase in the water gap, indicating that socio-economic changes will be the key driver in the evolving water gap.
Clara Linés, Ana Iglesias, Luis Garrote, Vicente Sotés, and Micha Werner
Hydrol. Earth Syst. Sci., 22, 5901–5917, https://doi.org/10.5194/hess-22-5901-2018, https://doi.org/10.5194/hess-22-5901-2018, 2018
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In this paper we follow a user-based approach to examine operational drought management decisions and how the role of information on them can be assessed. The approach combines a stakeholder consultation and a decision model representing the interrelated decisions of the irrigation association and farmers. The decision model was extended to include information on snow cover from satellite. This contributed to better decisions in the simulation and ultimately higher benefits for the farmers.
Dirk-Jan D. Kok, Saket Pande, Jules B. van Lier, Angela R. C. Ortigara, Hubert Savenije, and Stefan Uhlenbrook
Hydrol. Earth Syst. Sci., 22, 5781–5799, https://doi.org/10.5194/hess-22-5781-2018, https://doi.org/10.5194/hess-22-5781-2018, 2018
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Phosphorus (P) is important to global food security. Thus it is concerning that natural P reserves are predicted to deplete within the century. Here we explore the potential of P recovery from wastewater (WW) at global scale. We identify high production and demand sites to determine optimal market prices and trade flows. We show that 20 % of the agricultural demand can be met, yet only 4 % can be met economically. Nonetheless, this recovery stimulates circular economic development in WW treatment.
Milad Aminzadeh, Peter Lehmann, and Dani Or
Hydrol. Earth Syst. Sci., 22, 4015–4032, https://doi.org/10.5194/hess-22-4015-2018, https://doi.org/10.5194/hess-22-4015-2018, 2018
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Significant evaporative losses from local water reservoirs in arid regions exacerbate water shortages during dry spells. We propose a systematic approach for modeling energy balance and fluxes from covered water bodies using self-assembling floating elements, considering cover properties and local conditions. The study will provide a scientific and generalized basis for designing and implementing this important water conservation strategy to assist with its adaptation in various arid regions.
Junyu Qi, Sheng Li, Charles P.-A. Bourque, Zisheng Xing, and Fan-Rui Meng
Hydrol. Earth Syst. Sci., 22, 3789–3806, https://doi.org/10.5194/hess-22-3789-2018, https://doi.org/10.5194/hess-22-3789-2018, 2018
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The paper proposed an approach to develop a decision support tool to evaluate impacts of land use change and best management practices (BMPs) on water quantity and quality for large ungauged watersheds. It was developed based on statistical equations derived from Soil and Water Assessment Tool (SWAT) simulations in a small experimental watershed. The decision support tool reproduced annual stream discharge and sediment and nutrient loadings for another watershed fairly well.
Jonathan M. Lala, David R. Rounce, and Daene C. McKinney
Hydrol. Earth Syst. Sci., 22, 3721–3737, https://doi.org/10.5194/hess-22-3721-2018, https://doi.org/10.5194/hess-22-3721-2018, 2018
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Many glacial lakes in the Himalayas are held in place by natural sediment dams, which are prone to collapse, causing a glacial lake outburst flood (GLOF). This study models a GLOF as a process chain, in which an avalanche enters the lake, creates a large wave that erodes the sediment dam, and produces a flood downstream. Results indicate that Imja Tsho presents little hazard for the next 30 years, but the model is replicable and should be used at other lakes that may present greater hazard.
Stephen P. Charles, Quan J. Wang, Mobin-ud-Din Ahmad, Danial Hashmi, Andrew Schepen, Geoff Podger, and David E. Robertson
Hydrol. Earth Syst. Sci., 22, 3533–3549, https://doi.org/10.5194/hess-22-3533-2018, https://doi.org/10.5194/hess-22-3533-2018, 2018
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Predictions of irrigation-season water availability are important for water-limited Pakistan. We assess a Bayesian joint probability approach, using flow and climate indices as predictors, to produce streamflow forecasts for inflow to Pakistan's two largest dams. The approach produces skilful and reliable forecasts. As it is simple and quick to apply, it can be used to provide probabilistic seasonal streamflow forecasts that can inform Pakistan's water management.
Abebe D. Chukalla, Maarten S. Krol, and Arjen Y. Hoekstra
Hydrol. Earth Syst. Sci., 22, 3245–3259, https://doi.org/10.5194/hess-22-3245-2018, https://doi.org/10.5194/hess-22-3245-2018, 2018
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This paper provides the first detailed and comprehensive study regarding the potential for reducing the grey WF of crop production by changing management practice such as the nitrogen application rate, nitrogen form (inorganic N or manure N), tillage practice and irrigation strategy. The paper shows that although water pollution (grey WF) can be reduced dramatically, this comes together with a great yield reduction.
Jason M. Hunter, Holger R. Maier, Matthew S. Gibbs, Eloise R. Foale, Naomi A. Grosvenor, Nathan P. Harders, and Tahali C. Kikuchi-Miller
Hydrol. Earth Syst. Sci., 22, 2987–3006, https://doi.org/10.5194/hess-22-2987-2018, https://doi.org/10.5194/hess-22-2987-2018, 2018
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This research proposes a generalised hybrid model development framework and applies it to a case study of salinity prediction in a reach of the Murray River. The hybrid model combines five sub-models which describe one process of salt entry each and are developed based on the amount of system knowledge and data that are available to support each individual process. The model demonstrates increased performance over two benchmark models and has implications for future model development processes.
Richard R. Rushforth and Benjamin L. Ruddell
Hydrol. Earth Syst. Sci., 22, 3007–3032, https://doi.org/10.5194/hess-22-3007-2018, https://doi.org/10.5194/hess-22-3007-2018, 2018
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The National Water Economy Database is a new data resource to better understand the human economy's water use impact on the hydrosphere. NWED quantifies and maps a spatially detailed and economically complete blue water footprint for the United States, utilizing several datasets: US Geological Survey, the US Department of Agriculture, the US Energy Information Administration, the US Department of Transportation, the US Department of Energy, and the US Bureau of Labor Statistics.
Kean Foster, Cintia Bertacchi Uvo, and Jonas Olsson
Hydrol. Earth Syst. Sci., 22, 2953–2970, https://doi.org/10.5194/hess-22-2953-2018, https://doi.org/10.5194/hess-22-2953-2018, 2018
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Hydropower makes up nearly half of Sweden's electrical energy production. Careful reservoir management is required for optimal production throughout the year and accurate seasonal forecasts are essential for this. In this work we develop a seasonal forecast prototype and evaluate its ability to predict spring flood volumes, a critical variable, in northern Sweden. We show that the prototype is better than the operational system on average 65 % of the time and reduces the volume error by ~ 6 %.
Héctor Angarita, Albertus J. Wickel, Jack Sieber, John Chavarro, Javier A. Maldonado-Ocampo, Guido A. Herrera-R., Juliana Delgado, and David Purkey
Hydrol. Earth Syst. Sci., 22, 2839–2865, https://doi.org/10.5194/hess-22-2839-2018, https://doi.org/10.5194/hess-22-2839-2018, 2018
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The Magdalena River basin has great hydropower potential. A number of large dams are proposed in the upstream reaches of the two largest rivers that converge in the lowland floodplains. While these dams are expected to more than double national electricity production, the implications for the wetlands and the people that depend on them are highly uncertain. Our assessment of these implications provides insights to guide basin-level infrastructure development and ecosystem conservation projects.
Marta Zaniolo, Matteo Giuliani, Andrea Francesco Castelletti, and Manuel Pulido-Velazquez
Hydrol. Earth Syst. Sci., 22, 2409–2424, https://doi.org/10.5194/hess-22-2409-2018, https://doi.org/10.5194/hess-22-2409-2018, 2018
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Drought indexes are an effective tool to support drought management in water systems, but their definition must be tailored to the features of the considered basin. In highly regulated contexts, non-generalizable ad hoc methods are usually employed to design these indexes. This paper contributes the novel Framework for Index-based Drought Analysis (FRIDA) that supports the automatic construction of basin-customized drought indexes representing a surrogate of the basin drought conditions.
Sameh Saadi, Gilles Boulet, Malik Bahir, Aurore Brut, Émilie Delogu, Pascal Fanise, Bernard Mougenot, Vincent Simonneaux, and Zohra Lili Chabaane
Hydrol. Earth Syst. Sci., 22, 2187–2209, https://doi.org/10.5194/hess-22-2187-2018, https://doi.org/10.5194/hess-22-2187-2018, 2018
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This study evaluated the performances of an energy balance model (SPARSE model) forced by MODIS remote sensing products in an operational context to estimate instantaneous and daily evapotranspiration. The validation protocol was based on an unprecedented dataset with an extra-large aperture scintillometer. Indeed, to our knowledge, this is the first work based on XLAS measurements acquired over the course of more than 2 years.
Zhongwei Huang, Mohamad Hejazi, Xinya Li, Qiuhong Tang, Chris Vernon, Guoyong Leng, Yaling Liu, Petra Döll, Stephanie Eisner, Dieter Gerten, Naota Hanasaki, and Yoshihide Wada
Hydrol. Earth Syst. Sci., 22, 2117–2133, https://doi.org/10.5194/hess-22-2117-2018, https://doi.org/10.5194/hess-22-2117-2018, 2018
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This study generate a historical global monthly gridded water withdrawal data (0.5 × 0.5 degrees) for the period 1971–2010, distinguishing six water use sectors (irrigation, domestic, electricity generation, livestock, mining, and manufacturing). This dataset is the first reconstructed global water withdrawal data product at sub-annual and gridded resolution that is derived from different models and data sources, and was generated by spatially and temporally downscaling country-scale estimates.
Dung Duc Tran, Gerardo van Halsema, Petra J. G. J. Hellegers, Long Phi Hoang, Tho Quang Tran, Matti Kummu, and Fulco Ludwig
Hydrol. Earth Syst. Sci., 22, 1875–1896, https://doi.org/10.5194/hess-22-1875-2018, https://doi.org/10.5194/hess-22-1875-2018, 2018
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We modeled hydrological changes under impacts of large-scale dike constructions for intensive rice production in the floodplain of the Vietnamese Mekong Delta. Four scenarios show a significant increase in peak water levels in the upstream rivers, but very few water level changes are found downstream. Water balance calculations show where the floodwater goes under four dike construction scenarios. Its impacts on the tidal areas need to be clarified in the future with a 3-D hydraulic model.
Shuiqing Yin, Zhengyuan Zhu, Li Wang, Baoyuan Liu, Yun Xie, Guannan Wang, and Yishan Li
Hydrol. Earth Syst. Sci., 22, 1695–1712, https://doi.org/10.5194/hess-22-1695-2018, https://doi.org/10.5194/hess-22-1695-2018, 2018
Mahendran Roobavannan, Tim H. M. van Emmerik, Yasmina Elshafei, Jaya Kandasamy, Matthew R. Sanderson, Saravanamuthu Vigneswaran, Saket Pande, and Murugesu Sivapalan
Hydrol. Earth Syst. Sci., 22, 1337–1349, https://doi.org/10.5194/hess-22-1337-2018, https://doi.org/10.5194/hess-22-1337-2018, 2018
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This paper reviews a relevant social science that links cultural factors to environmental decision-making and assesses how to better incorporate its insights to enhance sociohydrological (SH) models and the knowledge gaps that remain to be filled. The paper concludes with a discussion of challenges and opportunities in terms of generalization of SH models and the use of available data to facilitate future prediction and allow model transfer to ungauged basins.
Yassin Elamri, Bruno Cheviron, Annabelle Mange, Cyril Dejean, François Liron, and Gilles Belaud
Hydrol. Earth Syst. Sci., 22, 1285–1298, https://doi.org/10.5194/hess-22-1285-2018, https://doi.org/10.5194/hess-22-1285-2018, 2018
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Agrivoltaism is the association of agricultural and photovoltaic energy production on the same land area, coping with the increasing pressure on land use and water resources while delivering clean and renewable energy. This paper shows how to operate the tilting-angle solar panels tested above the cultivated plots to remedy the often unexplored rain redistribution issues, by which large parts of the plot are sheltered, whereas concentrated fluxes are redirected on a few locations.
Paweł Wilk, Paulina Orlińska-Woźniak, and Joanna Gębala
Hydrol. Earth Syst. Sci., 22, 1033–1050, https://doi.org/10.5194/hess-22-1033-2018, https://doi.org/10.5194/hess-22-1033-2018, 2018
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Polish Institute of Meteorology and Water Management – State Research Institute (IMGW-PIB) has been conducting research on the use of river absorption capacity (RAC) for 5 years. The research focuses on combining mathematical modelling with traditional RAC calculations. For this purpose, the Macromodel DNS (discharge–nutrient–sea) was developed in the IMGW-PIB, along with the Soil Water Assessment Tool (SWAT). The study was conducted on a selected fragment of one of the largest rivers in Poland.
Wei Weng, Matthias K. B. Luedeke, Delphine C. Zemp, Tobia Lakes, and Juergen P. Kropp
Hydrol. Earth Syst. Sci., 22, 911–927, https://doi.org/10.5194/hess-22-911-2018, https://doi.org/10.5194/hess-22-911-2018, 2018
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We provide a detailed spatial analysis of hydrological impacts of land use change in Amazonia, focusing on the aspect of
aerial rivers. Our approach of observation-based atmospheric moisture tracking allows us to recognize potential teleconnection between source and sink regions of atmospheric moisture. Relying on a quantitative assessment, we identified regions where water availability is most sensitive to land use change and regions where land use change is critical for a given sink region.
A. B. M. Firoz, Alexandra Nauditt, Manfred Fink, and Lars Ribbe
Hydrol. Earth Syst. Sci., 22, 547–565, https://doi.org/10.5194/hess-22-547-2018, https://doi.org/10.5194/hess-22-547-2018, 2018
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There are very few studies found globally where the impact of hydropower on drought issues has been addressed. Furthermore, recent development of hydropower and its impact on streamflow on the downstream is still not explored. This study tries to address the associated impact of hydropower on streamflow drought which may directly affect the irrigation, water, and energy production. The developed method helps the decision makers to identify the potential impact of hydropower on downstream users.
Ying Zhang, Semu Moges, and Paul Block
Hydrol. Earth Syst. Sci., 22, 143–157, https://doi.org/10.5194/hess-22-143-2018, https://doi.org/10.5194/hess-22-143-2018, 2018
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The study proposes advancing local-level seasonal rainfall predictions by first conditioning on regional-level predictions, as defined through cluster analysis. This statistical approach is applied to western Ethiopia, where lives and livelihoods are vulnerable to its high spatial–temporal rainfall variability, particularly given the high reliance on rain-fed agriculture. The statistical model improves in skills versus the non-clustered case or dynamical models for some critical regions.
Hassaan Furqan Khan, Y. C. Ethan Yang, Hua Xie, and Claudia Ringler
Hydrol. Earth Syst. Sci., 21, 6275–6288, https://doi.org/10.5194/hess-21-6275-2017, https://doi.org/10.5194/hess-21-6275-2017, 2017
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Sustainable water management needs to account for the ways humans benefit from the environment while also incorporating the impact of human actions on the natural system. In this study we present a generalized modeling framework to simulate the reciprocal impacts of human decisions on water availability, food and energy production, and environment in two transboundary river basins. The framework allows users to observe how individual water use decisions affect others across the entire system.
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This is the first analysis of the asynchronous ensemble Kalman filter in hydrological forecasting. The results of discharge assimilation into a hydrological model for the catchment show that including past predictions and observations in the filter improves model forecasts. Additionally, we show that elimination of the strongly non-linear relation between soil moisture and assimilated discharge observations from the model update becomes beneficial for improved operational forecasting.
This is the first analysis of the asynchronous ensemble Kalman filter in hydrological...
Hydrology and Earth System Sciences
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