Articles | Volume 23, issue 4
https://doi.org/10.5194/hess-23-1951-2019
© Author(s) 2019. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/hess-23-1951-2019
© Author(s) 2019. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Research article
| 
11 Apr 2019
Research article |
| 11 Apr 2019
| 11 Apr 2019
Seasonal drought prediction for semiarid northeast Brazil: what is the added value of a process-based hydrological model?
Institute of Environmental Science and Geography, University of Potsdam, Potsdam, Germany
José Miguel Delgado
Institute of Environmental Science and Geography, University of Potsdam, Potsdam, Germany
Sebastian Voss
Institute of Environmental Science and Geography, University of Potsdam, Potsdam, Germany
Klaus Vormoor
Institute of Environmental Science and Geography, University of Potsdam, Potsdam, Germany
Till Francke
Institute of Environmental Science and Geography, University of Potsdam, Potsdam, Germany
Alexandre Cunha Costa
Institute of Engineering and Sustainable Development, University of International Integration of the Afro-Brazilian Lusophony (UNILAB), Acarape, Ceará, Brazil
Eduardo Martins
Research Institute for Meteorology and Water Resources – FUNCEME, Fortaleza, Ceará, Brazil
Axel Bronstert
Institute of Environmental Science and Geography, University of Potsdam, Potsdam, Germany
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Tobias Pilz, Till Francke, and Axel Bronstert
Geosci. Model Dev., 10, 3001–3023, https://doi.org/10.5194/gmd-10-3001-2017, https://doi.org/10.5194/gmd-10-3001-2017, 2017
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To discretise and transfer a landscape into a hydrological model, many different algorithms and software implementations exist. These are, however, often model specific, commercial, and allow for only a limited workflow automation. Overcoming these limitations, the software package lumpR was developed. It employs an hillslope-based discretisation algorithm directed at large-scale application. The software is demonstrated in a case study and crucial discretisation parameters are investigated.
Till Francke, Cosimo Brogi, Alby Duarte Rocha, Michael Förster, Maik Heistermann, Markus Köhli, Daniel Rasche, Marvin Reich, Paul Schattan, Lena Scheiffele, and Martin Schrön
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Multiple methods for measuring soil moisture beyond the point scale exist. Their validation is generally hindered by not knowing the truth. We propose a virtual framework in which this truth is fully known and the sensor observations for cosmic ray neutron sensing, remote sensing, and hydrogravimetry are simulated. This allows for the rigorous testing of these virtual sensors to understand their effectiveness and limitations.
Daniel Altdorff, Maik Heistermann, Till Francke, Martin Schrön, Sabine Attinger, Albrecht Bauriegel, Frank Beyrich, Peter Biró, Peter Dietrich, Rebekka Eichstädt, Peter Martin Grosse, Arvid Markert, Jakob Terschlüsen, Ariane Walz, Steffen Zacharias, and Sascha E. Oswald
EGUsphere, https://doi.org/10.5194/egusphere-2024-3848, https://doi.org/10.5194/egusphere-2024-3848, 2024
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The German federal state of Brandenburg is particularly prone to soil moisture droughts. To support the management of related risks, we introduce a novel soil moisture and drought monitoring network based on cosmic-ray neutron sensing technology. This initiative is driven by a collaboration of research institutions and federal state agencies, and it is the first of its kind in Germany to have started operation. In this brief communication, we outline the network design and share first results.
Marjorie Beate Kreis, Jean-Denis Taupin, Nicolas Patris, Patrick Lachassagne, Virginie Vergnaud-Ayraud, Julien Daniel Pierre Burte, Christian Leduc, and Eduardo Sávio Passos Rodrigues Martins
Proc. IAHS, 385, 393–398, https://doi.org/10.5194/piahs-385-393-2024, https://doi.org/10.5194/piahs-385-393-2024, 2024
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This study used hydrodynamic and hydrogeochemical data to understand the salinization processes of the crystalline groundwater (GW) in Ceará, Brazil. Results demonstrate that GW is generally recent and recharged by meteoric waters mainly through localized infiltration. The study suggests that GW, originally bicarbonated, becomes progressively enriched in chloride due to the dissolution and leaching of salts that have precipitated in the unsaturated zone and pond sediments during dryer periods.
Marjorie B. Kreis, Jean-Denis Taupin, Nicolas Patris, and Eduardo S. P. R. Martins
Proc. IAHS, 385, 17–23, https://doi.org/10.5194/piahs-385-17-2024, https://doi.org/10.5194/piahs-385-17-2024, 2024
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The isotopic characterization of rainwater in the semi-arid regions of Northeastern Brazil (NEB) was only addressed by a few studies. Moreover, the isotopic data available were mainly linked to the establishment of the Global Network of Isotopes in Precipitation, which was paralyzed in the 1990s despite the extensive use of these data to improve the global knowledge of hydrological processes. This study allowed to improve the characterization of the isotopic signal of precipitation in NEB.
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Hydrol. Earth Syst. Sci., 28, 989–1000, https://doi.org/10.5194/hess-28-989-2024, https://doi.org/10.5194/hess-28-989-2024, 2024
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Hydrol. Earth Syst. Sci., 28, 139–161, https://doi.org/10.5194/hess-28-139-2024, https://doi.org/10.5194/hess-28-139-2024, 2024
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Hydrol. Earth Syst. Sci., 27, 4217–4225, https://doi.org/10.5194/hess-27-4217-2023, https://doi.org/10.5194/hess-27-4217-2023, 2023
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Maik Heistermann, Till Francke, Lena Scheiffele, Katya Dimitrova Petrova, Christian Budach, Martin Schrön, Benjamin Trost, Daniel Rasche, Andreas Güntner, Veronika Döpper, Michael Förster, Markus Köhli, Lisa Angermann, Nikolaos Antonoglou, Manuela Zude-Sasse, and Sascha E. Oswald
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Cosmic-ray neutron sensing (CRNS) allows for the non-invasive estimation of root-zone soil water content (SWC). The signal observed by a single CRNS sensor is influenced by the SWC in a radius of around 150 m (the footprint). Here, we have put together a cluster of eight CRNS sensors with overlapping footprints at an agricultural research site in north-east Germany. That way, we hope to represent spatial SWC heterogeneity instead of retrieving just one average SWC estimate from a single sensor.
Lena Katharina Schmidt, Till Francke, Peter Martin Grosse, Christoph Mayer, and Axel Bronstert
Hydrol. Earth Syst. Sci., 27, 1841–1863, https://doi.org/10.5194/hess-27-1841-2023, https://doi.org/10.5194/hess-27-1841-2023, 2023
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We present a suitable method to reconstruct sediment export from decadal records of hydroclimatic predictors (discharge, precipitation, temperature) and shorter suspended sediment measurements. This lets us fill the knowledge gap on how sediment export from glacierized high-alpine areas has responded to climate change. We find positive trends in sediment export from the two investigated nested catchments with step-like increases around 1981 which are linked to crucial changes in glacier melt.
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Heye Reemt Bogena, Martin Schrön, Jannis Jakobi, Patrizia Ney, Steffen Zacharias, Mie Andreasen, Roland Baatz, David Boorman, Mustafa Berk Duygu, Miguel Angel Eguibar-Galán, Benjamin Fersch, Till Franke, Josie Geris, María González Sanchis, Yann Kerr, Tobias Korf, Zalalem Mengistu, Arnaud Mialon, Paolo Nasta, Jerzy Nitychoruk, Vassilios Pisinaras, Daniel Rasche, Rafael Rosolem, Hami Said, Paul Schattan, Marek Zreda, Stefan Achleitner, Eduardo Albentosa-Hernández, Zuhal Akyürek, Theresa Blume, Antonio del Campo, Davide Canone, Katya Dimitrova-Petrova, John G. Evans, Stefano Ferraris, Félix Frances, Davide Gisolo, Andreas Güntner, Frank Herrmann, Joost Iwema, Karsten H. Jensen, Harald Kunstmann, Antonio Lidón, Majken Caroline Looms, Sascha Oswald, Andreas Panagopoulos, Amol Patil, Daniel Power, Corinna Rebmann, Nunzio Romano, Lena Scheiffele, Sonia Seneviratne, Georg Weltin, and Harry Vereecken
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Monitoring of increasingly frequent droughts is a prerequisite for climate adaptation strategies. This data paper presents long-term soil moisture measurements recorded by 66 cosmic-ray neutron sensors (CRNS) operated by 24 institutions and distributed across major climate zones in Europe. Data processing followed harmonized protocols and state-of-the-art methods to generate consistent and comparable soil moisture products and to facilitate continental-scale analysis of hydrological extremes.
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Cosmic-ray neutron sensing (CRNS) is a non-invasive tool for measuring hydrogen pools like soil moisture, snow, or vegetation. This study presents a directional shielding approach, aiming to measure in specific directions only. The results show that non-directional neutron transport blurs the signal of the targeted direction. For typical instruments, this does not allow acceptable precision at a daily time resolution. However, the mere statistical distinction of two rates is feasible.
Maik Heistermann, Till Francke, Martin Schrön, and Sascha E. Oswald
Hydrol. Earth Syst. Sci., 25, 4807–4824, https://doi.org/10.5194/hess-25-4807-2021, https://doi.org/10.5194/hess-25-4807-2021, 2021
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Cosmic-ray neutron sensing (CRNS) is a powerful technique for retrieving representative estimates of soil moisture in footprints extending over hectometres in the horizontal and decimetres in the vertical. This study, however, demonstrates the potential of CRNS to obtain spatio-temporal patterns of soil moisture beyond isolated footprints. To that end, we analyse data from a unique observational campaign that featured a dense network of more than 20 neutron detectors in an area of just 1 km2.
Erwin Rottler, Axel Bronstert, Gerd Bürger, and Oldrich Rakovec
Hydrol. Earth Syst. Sci., 25, 2353–2371, https://doi.org/10.5194/hess-25-2353-2021, https://doi.org/10.5194/hess-25-2353-2021, 2021
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The mesoscale hydrological model (mHM) forced with an ensemble of climate projection scenarios was used to assess potential future changes in flood seasonality in the Rhine River basin. Results indicate that future changes in flood characteristics are controlled by increases in precipitation sums and diminishing snowpacks. The decreases in snowmelt can counterbalance increasing precipitation, resulting in only small and transient changes in streamflow maxima.
Benjamin Fersch, Till Francke, Maik Heistermann, Martin Schrön, Veronika Döpper, Jannis Jakobi, Gabriele Baroni, Theresa Blume, Heye Bogena, Christian Budach, Tobias Gränzig, Michael Förster, Andreas Güntner, Harrie-Jan Hendricks Franssen, Mandy Kasner, Markus Köhli, Birgit Kleinschmit, Harald Kunstmann, Amol Patil, Daniel Rasche, Lena Scheiffele, Ulrich Schmidt, Sandra Szulc-Seyfried, Jannis Weimar, Steffen Zacharias, Marek Zreda, Bernd Heber, Ralf Kiese, Vladimir Mares, Hannes Mollenhauer, Ingo Völksch, and Sascha Oswald
Earth Syst. Sci. Data, 12, 2289–2309, https://doi.org/10.5194/essd-12-2289-2020, https://doi.org/10.5194/essd-12-2289-2020, 2020
Erwin Rottler, Till Francke, Gerd Bürger, and Axel Bronstert
Hydrol. Earth Syst. Sci., 24, 1721–1740, https://doi.org/10.5194/hess-24-1721-2020, https://doi.org/10.5194/hess-24-1721-2020, 2020
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In the attempt to identify and disentangle long-term impacts of changes in snow cover and precipitation along with reservoir constructions, we employ a set of analytical tools on hydro-climatic time series. We identify storage reservoirs as an important factor redistributing runoff from summer to winter. Furthermore, our results hint at more (intense) rainfall in recent decades. Detected increases in high discharge can be traced back to corresponding changes in precipitation.
José Miguel Delgado, Sebastian Voss, Gerd Bürger, Klaus Vormoor, Aline Murawski, José Marcelo Rodrigues Pereira, Eduardo Martins, Francisco Vasconcelos Júnior, and Till Francke
Hydrol. Earth Syst. Sci., 22, 5041–5056, https://doi.org/10.5194/hess-22-5041-2018, https://doi.org/10.5194/hess-22-5041-2018, 2018
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The feasibility of drought prediction is assessed in the Brazilian northeast. The models were provided by a regional agency and a European meteorological agency and downscaling was done using three empirical models. This work showed that the combination of different forecast and downscaling models can provide skillful predictions of drought events on timescales relevant to water managers. But the models also showed little to no skill for quantitative predictions of monthly precipitation.
Till Francke, Saskia Foerster, Arlena Brosinsky, Erik Sommerer, Jose A. Lopez-Tarazon, Andreas Güntner, Ramon J. Batalla, and Axel Bronstert
Earth Syst. Sci. Data, 10, 1063–1075, https://doi.org/10.5194/essd-10-1063-2018, https://doi.org/10.5194/essd-10-1063-2018, 2018
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This paper presents a hydro-sedimentological dataset for the Isábena catchment, northeastern Spain, for the period 2010–2018. It contains the results of several years of monitoring rainfall, discharge and sediment flux and analysing soil spectroscopic properties. The dataset features data in high spatial and temporal resolution suitable for the advanced process understanding of water and sediment fluxes, their origin and connectivity and sediment budgeting and for model development.
Tobias Pilz, Till Francke, and Axel Bronstert
Geosci. Model Dev., 10, 3001–3023, https://doi.org/10.5194/gmd-10-3001-2017, https://doi.org/10.5194/gmd-10-3001-2017, 2017
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To discretise and transfer a landscape into a hydrological model, many different algorithms and software implementations exist. These are, however, often model specific, commercial, and allow for only a limited workflow automation. Overcoming these limitations, the software package lumpR was developed. It employs an hillslope-based discretisation algorithm directed at large-scale application. The software is demonstrated in a case study and crucial discretisation parameters are investigated.
Cleiton da Silva Silveira, Francisco de Assis de Souza Filho, Francisco das Chagas Vasconcelos Junior, and E. Sávio Passos Rodrigues Martins
Hydrol. Earth Syst. Sci. Discuss., https://doi.org/10.5194/hess-2016-135, https://doi.org/10.5194/hess-2016-135, 2016
Manuscript not accepted for further review
M. A. Sunyer, Y. Hundecha, D. Lawrence, H. Madsen, P. Willems, M. Martinkova, K. Vormoor, G. Bürger, M. Hanel, J. Kriaučiūnienė, A. Loukas, M. Osuch, and I. Yücel
Hydrol. Earth Syst. Sci., 19, 1827–1847, https://doi.org/10.5194/hess-19-1827-2015, https://doi.org/10.5194/hess-19-1827-2015, 2015
C. Kormann, T. Francke, M. Renner, and A. Bronstert
Hydrol. Earth Syst. Sci., 19, 1225–1245, https://doi.org/10.5194/hess-19-1225-2015, https://doi.org/10.5194/hess-19-1225-2015, 2015
K. Vormoor, D. Lawrence, M. Heistermann, and A. Bronstert
Hydrol. Earth Syst. Sci., 19, 913–931, https://doi.org/10.5194/hess-19-913-2015, https://doi.org/10.5194/hess-19-913-2015, 2015
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Projected shifts towards more dominant autumn/winter events during a future climate correspond to an increasing relevance of rainfall as a flood generating process in six Norwegian catchments. The relative role of hydrological model parameter uncertainty, compared to other uncertainty sources from our applied ensemble, is highest in those catchments showing the largest shifts in flood seasonality which indicates a lack in parameter robustness under non-stationary hydroclimatological conditions.
B. Merz, J. Aerts, K. Arnbjerg-Nielsen, M. Baldi, A. Becker, A. Bichet, G. Blöschl, L. M. Bouwer, A. Brauer, F. Cioffi, J. M. Delgado, M. Gocht, F. Guzzetti, S. Harrigan, K. Hirschboeck, C. Kilsby, W. Kron, H.-H. Kwon, U. Lall, R. Merz, K. Nissen, P. Salvatti, T. Swierczynski, U. Ulbrich, A. Viglione, P. J. Ward, M. Weiler, B. Wilhelm, and M. Nied
Nat. Hazards Earth Syst. Sci., 14, 1921–1942, https://doi.org/10.5194/nhess-14-1921-2014, https://doi.org/10.5194/nhess-14-1921-2014, 2014
J. M. Delgado, B. Merz, and H. Apel
Nat. Hazards Earth Syst. Sci., 14, 1579–1589, https://doi.org/10.5194/nhess-14-1579-2014, https://doi.org/10.5194/nhess-14-1579-2014, 2014
C. H. Mohr, A. Zimmermann, O. Korup, A. Iroumé, T. Francke, and A. Bronstert
Earth Surf. Dynam., 2, 117–125, https://doi.org/10.5194/esurf-2-117-2014, https://doi.org/10.5194/esurf-2-117-2014, 2014
T. Conradt, F. Wechsung, and A. Bronstert
Hydrol. Earth Syst. Sci., 17, 2947–2966, https://doi.org/10.5194/hess-17-2947-2013, https://doi.org/10.5194/hess-17-2947-2013, 2013
M. Heistermann, I. Crisologo, C. C. Abon, B. A. Racoma, S. Jacobi, N. T. Servando, C. P. C. David, and A. Bronstert
Nat. Hazards Earth Syst. Sci., 13, 653–657, https://doi.org/10.5194/nhess-13-653-2013, https://doi.org/10.5194/nhess-13-653-2013, 2013
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Hydrol. Earth Syst. Sci., 29, 507–524, https://doi.org/10.5194/hess-29-507-2025, https://doi.org/10.5194/hess-29-507-2025, 2025
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Benjamin D. West, Reed M. Maxwell, and Laura E. Condon
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This article describes the addition of reservoirs to the hydrologic model ParFlow. ParFlow is particularly good at helping us understand some of the broader drivers behind different parts of the water cycle. By having reservoirs in such a model, we hope to be able to better understand both our impacts on the environment and how to adjust our management of reservoirs to changing conditions.
Shan Sang, Yan Li, Chengcheng Hou, Shuangshuang Zi, and Huiqing Lin
Hydrol. Earth Syst. Sci., 29, 67–84, https://doi.org/10.5194/hess-29-67-2025, https://doi.org/10.5194/hess-29-67-2025, 2025
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Green water exchanges between each province in China form an interconnected flow network and have substantial socioeconomic values. Green water flow and its teleconnected socioeconomic effects should be considered in water resource management in addition to blue water.
Laure Baratgin, Jan Polcher, Patrice Dumas, and Philippe Quirion
Hydrol. Earth Syst. Sci., 28, 5479–5509, https://doi.org/10.5194/hess-28-5479-2024, https://doi.org/10.5194/hess-28-5479-2024, 2024
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Hydrological modeling is valuable for estimating the potential impact of climate change on hydropower generation. This study presents a comprehensive approach to modeling the management of hydroelectric reservoirs in hydrological models. The total power grid demand for hydropower is distributed to the various power plants to compute their release. The method is tested on the French national power grid, and it is demonstrated that it successfully reproduces the observed behavior of reservoirs.
Ruikang Zhang, Dedi Liu, Lihua Xiong, Jie Chen, Hua Chen, and Jiabo Yin
Hydrol. Earth Syst. Sci., 28, 5229–5247, https://doi.org/10.5194/hess-28-5229-2024, https://doi.org/10.5194/hess-28-5229-2024, 2024
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Flash flood warnings cannot be effective without people’s responses to them. We propose a method to determine the threshold of issuing warnings based on a people’s response process simulation. The results show that adjusting the warning threshold according to people’s tolerance levels to the failed warnings can improve warning effectiveness, but the prerequisite is to increase forecasting accuracy and decrease forecasting variance.
Mohsen Amini Fasakhodi, Hakan Djuma, Ioannis Sofokleous, Marinos Eliades, and Adriana Bruggeman
Hydrol. Earth Syst. Sci., 28, 5209–5227, https://doi.org/10.5194/hess-28-5209-2024, https://doi.org/10.5194/hess-28-5209-2024, 2024
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This study examined the water use of pine and cypress trees in a semiarid Mediterranean forest environment. We applied a widely used land surface model (Noah-MP) to simulate the water balance of the ecosystem. We found good modeling results for soil moisture. However, the model underestimated the transpiration of the trees during the dry summer months. These findings indicate that more research is needed to improve the modeling of ecosystem responses to climate and land use change.
Manuel Quintanilla-Albornoz, Xavier Miarnau, Ana Pelechá, Héctor Nieto, and Joaquim Bellvert
Hydrol. Earth Syst. Sci., 28, 4797–4818, https://doi.org/10.5194/hess-28-4797-2024, https://doi.org/10.5194/hess-28-4797-2024, 2024
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Remote sensing can be a helpful tool for monitoring crop transpiration (T) for agricultural water management. Since remote sensing provides instantaneous data, upscaling techniques are required to estimate T on a daily scale. This study assesses optimal image acquisition times and four upscaling approaches to estimate daily T. The results indicate that the main errors derive from measurement time and water stress levels, which can be mitigated by choosing a proper upscaling approach.
Rozemarijn ter Horst, Rossella Alba, Jeroen Vos, Maria Rusca, Jonatan Godinez-Madrigal, Lucie V. Babel, Gert Jan Veldwisch, Jean-Philippe Venot, Bruno Bonté, David W. Walker, and Tobias Krueger
Hydrol. Earth Syst. Sci., 28, 4157–4186, https://doi.org/10.5194/hess-28-4157-2024, https://doi.org/10.5194/hess-28-4157-2024, 2024
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The exact power of models often remains hidden, especially when neutrality is claimed. Our review of 61 scientific articles shows that in the scientific literature little attention is given to the power of water models to influence development processes and outcomes. However, there is a lot to learn from those who are openly reflexive. Based on lessons from the review, we call for power-sensitive modelling, which means that people are critical about how models are made and with what effects.
Saskia Salwey, Gemma Coxon, Francesca Pianosi, Rosanna Lane, Chris Hutton, Michael Bliss Singer, Hilary McMillan, and Jim Freer
Hydrol. Earth Syst. Sci., 28, 4203–4218, https://doi.org/10.5194/hess-28-4203-2024, https://doi.org/10.5194/hess-28-4203-2024, 2024
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Reservoirs are essential for water resource management and can significantly impact downstream flow. However, representing reservoirs in hydrological models can be challenging, particularly across large scales. We design a new and simple method for simulating river flow downstream of water supply reservoirs using only open-access data. We demonstrate the approach in 264 reservoir catchments across Great Britain, where we can significantly improve the simulation of reservoir-impacted flow.
Amelie Herzog, Jost Hellwig, and Kerstin Stahl
Hydrol. Earth Syst. Sci., 28, 4065–4083, https://doi.org/10.5194/hess-28-4065-2024, https://doi.org/10.5194/hess-28-4065-2024, 2024
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Surface water–groundwater interaction can vary along a river. This study used a groundwater model that reproduced relative observed longitudinal and vertical connectivity patterns in the river network to assess the system's response to imposed stress tests. For the case study, imposed groundwater abstraction appears to influence connectivity relatively more than altered recharge, but a quantification of absolute exchange flows will require further model improvements.
Lisa Tanika, Rika Ratna Sari, Arief Lukman Hakim, Meine van Noordwijk, Marielos Peña-Claros, Beria Leimona, Edi Purwanto, and Erika N. Speelman
Hydrol. Earth Syst. Sci., 28, 3807–3835, https://doi.org/10.5194/hess-28-3807-2024, https://doi.org/10.5194/hess-28-3807-2024, 2024
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The H2Ours game is designed to facilitate knowledge transfer and sharing among stakeholders to trigger commitment and collaborative action to restore hydrological conditions. The adaptability of the H2Ours game was proven in two different landscapes: groundwater recharge in upper to middle sub-watersheds with (over)use of water in the lowland zone and a peatland with drainage, rewetting, oil palm conversion and fire as issues. The game evaluation shows that the H2Ours game meets its purpose.
Pierre Laluet, Luis Olivera-Guerra, Víctor Altés, Vincent Rivalland, Alexis Jeantet, Julien Tournebize, Omar Cenobio-Cruz, Anaïs Barella-Ortiz, Pere Quintana-Seguí, Josep Maria Villar, and Olivier Merlin
Hydrol. Earth Syst. Sci., 28, 3695–3716, https://doi.org/10.5194/hess-28-3695-2024, https://doi.org/10.5194/hess-28-3695-2024, 2024
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Monitoring agricultural drainage flow in irrigated areas is key to water and soil management. In this paper, four simple drainage models are evaluated on two irrigated sub-basins where drainage flow is measured daily. The evaluation of their precision shows that they simulate drainage very well when calibrated with drainage data and that one of them is slightly better. The evaluation of their accuracy shows that only one model can provide rough drainage estimates without calibration data.
Gláuber Pontes Rodrigues, Arlena Brosinsky, Ítalo Sampaio Rodrigues, George Leite Mamede, and José Carlos de Araújo
Hydrol. Earth Syst. Sci., 28, 3243–3260, https://doi.org/10.5194/hess-28-3243-2024, https://doi.org/10.5194/hess-28-3243-2024, 2024
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The research focuses on a 4-million-inhabitant tropical region supplied by a network of open-water reservoirs where the dry season lasts for 8 months (Jun−Dec). We analysed the impact of four climate change scenarios on the evaporation rate and the associated availability (water yield distributed per year). The worst-case scenario shows that by the end of the century (2071−2099), the evaporation rate in the dry season could increase by 6 %, which would reduce stored water by about 80 %.
Anjana Ekka, Yong Jiang, Saket Pande, and Pieter van der Zaag
Hydrol. Earth Syst. Sci., 28, 3219–3241, https://doi.org/10.5194/hess-28-3219-2024, https://doi.org/10.5194/hess-28-3219-2024, 2024
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For the first time, we analyse the economic and ecological performance of existing multiple big reservoirs on a daily timescale for a major river basin (upper Cauvery) in India, where pre-intervention data were not available but where there are increasing calls for such assessments. Results show that smaller reservoirs on smaller streams that maximize the economic value of stored water are better for the basin economy and the environment. The approach can help to prioritize dam removals.
Mohamad El Gharamti, Arezoo Rafieeinasab, and James L. McCreight
Hydrol. Earth Syst. Sci., 28, 3133–3159, https://doi.org/10.5194/hess-28-3133-2024, https://doi.org/10.5194/hess-28-3133-2024, 2024
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This study introduces a hybrid data assimilation scheme for precise streamflow predictions during intense rainfall and hurricanes. Tested in real events, it outperforms traditional methods by up to 50 %, utilizing ensemble and climatological background covariances. The adaptive algorithm ensures reliability with a small ensemble, offering improved forecasts up to 18 h in advance, marking a significant advancement in flood prediction capabilities.
Yongshin Lee, Andres Peñuela, Francesca Pianosi, and Miguel Angel Rico-Ramirez
EGUsphere, https://doi.org/10.5194/egusphere-2024-1985, https://doi.org/10.5194/egusphere-2024-1985, 2024
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This study assesses the value of Seasonal Flow Forecasts (SFFs) in informing decision-making for drought management in South Korea and introduces a novel method for assessing value benchmarked against historical operations. Our results show the importance of considering flow forecast uncertainty in reservoir operations. But the difference in value between SFFs and Ensemble Streamflow Prediction is negligible. The method for selecting a compromise release schedule is a key control of the value.
Maliko Tanguy, Michael Eastman, Amulya Chevuturi, Eugene Magee, Elizabeth Cooper, Robert H. B. Johnson, Katie Facer-Childs, and Jamie Hannaford
Hydrol. Earth Syst. Sci. Discuss., https://doi.org/10.5194/hess-2024-179, https://doi.org/10.5194/hess-2024-179, 2024
Revised manuscript accepted for HESS
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Our research compares two techniques, Bias-Correction (BC) and Data Assimilation (DA), for improving river flow forecasts across 316 UK catchments. BC, which corrects errors post-simulation, showed broad improvements, while DA, adjusting model states pre-forecast, excelled in specific conditions like snowmelt and high base flows. Each method's unique strengths suit different scenarios. These insights can enhance forecasting systems, offering reliable and user-friendly hydrological predictions.
Shengnan Fu, David M. Schultz, Heng Lyu, Zhonghua Zheng, and Chi Zhang
Hydrol. Earth Syst. Sci. Discuss., https://doi.org/10.5194/hess-2024-146, https://doi.org/10.5194/hess-2024-146, 2024
Revised manuscript accepted for HESS
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To address the lack of county-level flood dataset in China, we used machine learning techniques to accurately identify flood events and locations from news reports. This dataset offers crucial insights into the spatiotemporal distribution of urban flooding from 2000 to 2022, highlighting increases in flood occurrences and identifying key vulnerable areas. These findings are vital for enhancing urban planning in China, aiming to mitigate the impact of future floods.
Malve Heinz, Maria Eliza Turek, Bettina Schaefli, Andreas Keiser, and Annelie Holzkämper
EGUsphere, https://doi.org/10.5194/egusphere-2024-1201, https://doi.org/10.5194/egusphere-2024-1201, 2024
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Potato farmers in Switzerland are facing drier conditions and water restrictions. We explored how improving soil health and planting early maturing potato varieties might help to adapt. Using a computer model, we simulated potato yields and irrigation water needs under water scarcity. Our results show that earlier maturing potato varieties reduce the reliance on irrigation but result in lower yields. However, improving soil health can significantly reduce yield losses.
Alexander Herr, Linda E. Merrin, Patrick J. Mitchell, Anthony P. O'Grady, Kate L. Holland, Richard E. Mount, David A. Post, Chris R. Pavey, and Ashley D. Sparrow
Hydrol. Earth Syst. Sci., 28, 1957–1979, https://doi.org/10.5194/hess-28-1957-2024, https://doi.org/10.5194/hess-28-1957-2024, 2024
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We develop an ecohydrological classification for regions with limited hydrological records. It provides causal links of landscape features and their water requirement. The classification is an essential framework for modelling the impact of future coal resource developments via water on the features. A rule set combines diverse data with prioritisation, resulting in a transparent, repeatable and adjustable approach. We show examples of linking ecohydrology with environmental impacts.
Jing Liu, Yue-Ping Xu, Wei Zhang, Shiwu Wang, and Siwei Chen
Hydrol. Earth Syst. Sci., 28, 1325–1350, https://doi.org/10.5194/hess-28-1325-2024, https://doi.org/10.5194/hess-28-1325-2024, 2024
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Applying optimal water allocation models to simultaneously enable economic benefits, water preferences, and environmental demands at different decision levels, timescales, and regions is a challenge. In this study, a process-based three-layer synergistic optimal-allocation model (PTSOA) is established to achieve these goals. Reused, reclaimed water is also coupled to capture environmentally friendly solutions. Network analysis was introduced to reduce competition among different stakeholders.
Bing-Yi Zhou, Guo-Hua Fang, Xin Li, Jian Zhou, and Hua-Yu Zhong
Hydrol. Earth Syst. Sci., 28, 817–832, https://doi.org/10.5194/hess-28-817-2024, https://doi.org/10.5194/hess-28-817-2024, 2024
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The current unreasonable inter-basin water transfer operation leads to the problem of spatial and temporal imbalances in water allocation. This paper defines a water deficit evenness index and incorporates it into a joint optimization model for the Jiangsu section of the South-to-North Water Diversion Project considering ecology and economy. At the same time, the lake storage capacity performs well, and the water transfer efficiency of the river is significantly improved.
Tossapol Phoophiwfa, Prapawan Chomphuwiset, Thanawan Prahadchai, Jeong-Soo Park, Arthit Apichottanakul, Watchara Theppang, and Piyapatr Busababodhin
Hydrol. Earth Syst. Sci., 28, 801–816, https://doi.org/10.5194/hess-28-801-2024, https://doi.org/10.5194/hess-28-801-2024, 2024
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This study examines the impact of extreme rainfall events on flood risk management in Thailand's Chi watershed. By analyzing historical data, we identified regions, notably Udon Thani and Chaiyaphum, with a high risk of flash flooding. To aid in flood risk assessment, visual maps were created. The study underscores the importance of preparing for extreme rainfall events, particularly in the context of climate change, to effectively mitigate potential flood damage.
Elisabeth Brochet, Youen Grusson, Sabine Sauvage, Ludovic Lhuissier, and Valérie Demarez
Hydrol. Earth Syst. Sci., 28, 49–64, https://doi.org/10.5194/hess-28-49-2024, https://doi.org/10.5194/hess-28-49-2024, 2024
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This study aims to take into account irrigation withdrawals in a watershed model. The model we used combines agriculture and hydrological modeling. Two different crop models were compared, the first based on air temperature and the second based on Sentinel-2 satellite data. Results show that including remote sensing data leads to better emergence dates. Both methods allow us to simulate the daily irrigation withdrawals and downstream flow with a good accuracy, especially during low-flow periods.
Awad M. Ali, Lieke A. Melsen, and Adriaan J. Teuling
Hydrol. Earth Syst. Sci., 27, 4057–4086, https://doi.org/10.5194/hess-27-4057-2023, https://doi.org/10.5194/hess-27-4057-2023, 2023
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Using a new approach based on a combination of modeling and Earth observation, useful information about the filling of the Grand Ethiopian Renaissance Dam can be obtained with limited data and proper rainfall selection. While the monthly streamflow into Sudan has decreased significantly (1.2 × 109–5 × 109 m3) with respect to the non-dam scenario, the negative impact has been masked due to higher-than-average rainfall. We reveal that the dam will need 3–5 more years to complete filling.
Mari R. Tye, Ming Ge, Jadwiga H. Richter, Ethan D. Gutmann, Allyson Rugg, Cindy L. Bruyère, Sue Ellen Haupt, Flavio Lehner, Rachel McCrary, Andrew J. Newman, and Andrew Wood
EGUsphere, https://doi.org/10.5194/egusphere-2023-2326, https://doi.org/10.5194/egusphere-2023-2326, 2023
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There is a perceived mismatch between the spatial scales that global climate models can produce data and that needed for water management decisions. However, poor communication of specific metrics relevant to local decisions is also a problem. We identified a potential set of water use decision metrics to assess their credibility in the Community Earth System Model v2 (CESM2). CESM2 can reliably reproduce many of these metrics and shows potential to support long-range water resource decisions.
Søren J. Kragh, Rasmus Fensholt, Simon Stisen, and Julian Koch
Hydrol. Earth Syst. Sci., 27, 2463–2478, https://doi.org/10.5194/hess-27-2463-2023, https://doi.org/10.5194/hess-27-2463-2023, 2023
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This study investigates the precision of irrigation estimates from a global hotspot of unsustainable irrigation practice, the Indus and Ganges basins. We show that irrigation water use can be estimated with high precision by comparing satellite and rainfed hydrological model estimates of evapotranspiration. We believe that our work can support sustainable water resource management, as it addresses the uncertainty of a key component of the water balance that remains challenging to quantify.
Kerr J. Adams, Christopher A. J. Macleod, Marc J. Metzger, Nicola Melville, Rachel C. Helliwell, Jim Pritchard, and Miriam Glendell
Hydrol. Earth Syst. Sci., 27, 2205–2225, https://doi.org/10.5194/hess-27-2205-2023, https://doi.org/10.5194/hess-27-2205-2023, 2023
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We applied participatory methods to create a hybrid equation-based Bayesian network (BN) model to increase stakeholder understanding of catchment-scale resilience to the impacts of both climatic and socio-economic stressors to a 2050 time horizon. Our holistic systems-thinking approach enabled stakeholders to gain new perspectives on how future scenarios may influence their specific sectors and how their sector impacted other sectors and environmental conditions within the catchment system.
Afua Owusu, Jazmin Zatarain Salazar, Marloes Mul, Pieter van der Zaag, and Jill Slinger
Hydrol. Earth Syst. Sci., 27, 2001–2017, https://doi.org/10.5194/hess-27-2001-2023, https://doi.org/10.5194/hess-27-2001-2023, 2023
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The construction of two dams in the Lower Volta River, Ghana, adversely affected downstream riverine ecosystems and communities. In contrast, Ghana has enjoyed vast economic benefits from the dams. Herein lies the challenge; there exists a trade-off between water for river ecosystems and water for anthropogenic water demands such hydropower. In this study, we quantify these trade-offs and show that there is room for providing environmental flows under current and future climatic conditions.
Joel Z. Harms, Julien J. Malard-Adam, Jan F. Adamowski, Ashutosh Sharma, and Albert Nkwasa
Hydrol. Earth Syst. Sci., 27, 1683–1693, https://doi.org/10.5194/hess-27-1683-2023, https://doi.org/10.5194/hess-27-1683-2023, 2023
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To facilitate the meaningful participation of stakeholders in water management, model choice is crucial. We show how system dynamics models (SDMs), which are very visual and stakeholder-friendly, can be automatically combined with physically based hydrological models that may be more appropriate for modelling the water processes of a human–water system. This allows building participatory SDMs with stakeholders and delegating hydrological components to an external hydrological model.
Erhu Du, Feng Wu, Hao Jiang, Naliang Guo, Yong Tian, and Chunmiao Zheng
Hydrol. Earth Syst. Sci., 27, 1607–1626, https://doi.org/10.5194/hess-27-1607-2023, https://doi.org/10.5194/hess-27-1607-2023, 2023
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This study develops an integrated socio-hydrological modeling framework that can simulate the entire flood management processes, including flood inundation, flood management policies, public responses, and evacuation activities. The model is able to holistically examine flood evacuation performance under the joint impacts of hydrological conditions, management policies (i.e., shelter location distribution), and human behaviors (i.e., evacuation preparation time and route-searching strategy).
Mohammad Ghoreishi, Amin Elshorbagy, Saman Razavi, Günter Blöschl, Murugesu Sivapalan, and Ahmed Abdelkader
Hydrol. Earth Syst. Sci., 27, 1201–1219, https://doi.org/10.5194/hess-27-1201-2023, https://doi.org/10.5194/hess-27-1201-2023, 2023
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The study proposes a quantitative model of the willingness to cooperate in the Eastern Nile River basin. Our results suggest that the 2008 food crisis may account for Sudan recovering its willingness to cooperate with Ethiopia. Long-term lack of trust among the riparian countries may have reduced basin-wide cooperation. The model can be used to explore the effects of changes in future dam operations and other management decisions on the emergence of basin cooperation.
Richard Laugesen, Mark Thyer, David McInerney, and Dmitri Kavetski
Hydrol. Earth Syst. Sci., 27, 873–893, https://doi.org/10.5194/hess-27-873-2023, https://doi.org/10.5194/hess-27-873-2023, 2023
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Forecasts may be valuable for user decisions, but current practice to quantify it has critical limitations. This study introduces RUV (relative utility value, a new metric that can be tailored to specific decisions and decision-makers. It illustrates how critical this decision context is when evaluating forecast value. This study paves the way for agencies to tailor the evaluation of their services to customer decisions and researchers to study model improvements through the lens of user impact.
Efrain Noa-Yarasca, Meghna Babbar-Sebens, and Chris Jordan
Hydrol. Earth Syst. Sci., 27, 739–759, https://doi.org/10.5194/hess-27-739-2023, https://doi.org/10.5194/hess-27-739-2023, 2023
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Riparian vegetation has been identified as a strategy to control rising stream temperatures by shading streams. Riparian vegetation is included within a sub-basin-scale hydrological model and evaluated for full and efficient restoration scenarios. Results showed average temperature reductions of 0.91 and 0.86 °C for full and efficient riparian restoration, respectively. Notwithstanding the similar benefits, efficient restoration was 14.4 % cheaper than full riparian vegetation restoration.
Silvia Terzago, Giulio Bongiovanni, and Jost von Hardenberg
Hydrol. Earth Syst. Sci., 27, 519–542, https://doi.org/10.5194/hess-27-519-2023, https://doi.org/10.5194/hess-27-519-2023, 2023
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Reliable seasonal forecasts of the abundance of mountain snowpack over the winter/spring ahead provide valuable information for water management, hydropower production and ski tourism. We present a climate service prototype to generate multi-model ensemble seasonal forecasts of mountain snow depth, based on Copernicus seasonal forecast system meteorological data used to force the SNOWPACK model. The prototype shows skill at predicting snow depth below and above normal and extremely dry seasons.
Guang Yang, Matteo Giuliani, and Andrea Castelletti
Hydrol. Earth Syst. Sci., 27, 69–81, https://doi.org/10.5194/hess-27-69-2023, https://doi.org/10.5194/hess-27-69-2023, 2023
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Participatory decision-making is a well-established approach to address the increasing pressure on water systems that searches for system-wise efficient solutions but often does not quantify how the resulting benefits are distributed across stakeholders. In this work, we show how including equity principles into the design of water system operations enriches the solution space by generating more compromise solutions that balance efficiency and justice.
Aaron Heldmyer, Ben Livneh, James McCreight, Laura Read, Joseph Kasprzyk, and Toby Minear
Hydrol. Earth Syst. Sci., 26, 6121–6136, https://doi.org/10.5194/hess-26-6121-2022, https://doi.org/10.5194/hess-26-6121-2022, 2022
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Measurements of channel characteristics are important for accurate forecasting in the NOAA National Water Model (NWM) but are scarcely available. We seek to improve channel representativeness in the NWM by updating channel geometry and roughness parameters using a large, previously unpublished, dataset of approximately 48 000 gauges. We find that the updated channel parameterization from this new dataset leads to improvements in simulated streamflow performance and channel representation.
Friedrich Boeing, Oldrich Rakovec, Rohini Kumar, Luis Samaniego, Martin Schrön, Anke Hildebrandt, Corinna Rebmann, Stephan Thober, Sebastian Müller, Steffen Zacharias, Heye Bogena, Katrin Schneider, Ralf Kiese, Sabine Attinger, and Andreas Marx
Hydrol. Earth Syst. Sci., 26, 5137–5161, https://doi.org/10.5194/hess-26-5137-2022, https://doi.org/10.5194/hess-26-5137-2022, 2022
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In this paper, we deliver an evaluation of the second generation operational German drought monitor (https://www.ufz.de/duerremonitor) with a state-of-the-art compilation of observed soil moisture data from 40 locations and four different measurement methods in Germany. We show that the expressed stakeholder needs for higher resolution drought information at the one-kilometer scale can be met and that the agreement of simulated and observed soil moisture dynamics can be moderately improved.
Anahi Ocampo-Melgar, Pilar Barría, Cristián Chadwick, and Cesar Rivas
Hydrol. Earth Syst. Sci., 26, 5103–5118, https://doi.org/10.5194/hess-26-5103-2022, https://doi.org/10.5194/hess-26-5103-2022, 2022
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This article examines how a hydrological model exploring the causes of a lake desiccation was turned into a 5-step participatory process to better adjust the model to address questions that were causing suspicions and conflicts in the community. Although the process was key in finding a combination of strategies that were of moderate impact and higher local acceptability, we address the challenges of such collaboration in modeling when conflict is deeply embedded in the context.
Ashish Shrestha, Felipe Augusto Arguello Souza, Samuel Park, Charlotte Cherry, Margaret Garcia, David J. Yu, and Eduardo Mario Mendiondo
Hydrol. Earth Syst. Sci., 26, 4893–4917, https://doi.org/10.5194/hess-26-4893-2022, https://doi.org/10.5194/hess-26-4893-2022, 2022
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Equitable sharing of benefits is key to successful cooperation in transboundary water resource management. However, external changes can shift the split of benefits and shifts in the preferences regarding how an actor’s benefits compare to the other’s benefits. To understand how these changes can impact the robustness of cooperative agreements, we develop a socio-hydrological system dynamics model of the benefit sharing provision of the Columbia River Treaty and assess a series of scenarios.
Sara Modanesi, Christian Massari, Michel Bechtold, Hans Lievens, Angelica Tarpanelli, Luca Brocca, Luca Zappa, and Gabriëlle J. M. De Lannoy
Hydrol. Earth Syst. Sci., 26, 4685–4706, https://doi.org/10.5194/hess-26-4685-2022, https://doi.org/10.5194/hess-26-4685-2022, 2022
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Given the crucial impact of irrigation practices on the water cycle, this study aims at estimating irrigation through the development of an innovative data assimilation system able to ingest high-resolution Sentinel-1 radar observations into the Noah-MP land surface model. The developed methodology has important implications for global water resource management and the comprehension of human impacts on the water cycle and identifies main challenges and outlooks for future research.
Yujie Zeng, Dedi Liu, Shenglian Guo, Lihua Xiong, Pan Liu, Jiabo Yin, and Zhenhui Wu
Hydrol. Earth Syst. Sci., 26, 3965–3988, https://doi.org/10.5194/hess-26-3965-2022, https://doi.org/10.5194/hess-26-3965-2022, 2022
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The sustainability of the water–energy–food (WEF) nexus remains challenge, as interactions between WEF and human sensitivity and water resource allocation in water systems are often neglected. We incorporated human sensitivity and water resource allocation into a WEF nexus and assessed their impacts on the integrated system. This study can contribute to understanding the interactions across the water–energy–food–society nexus and improving the efficiency of resource management.
Louise Busschaert, Shannon de Roos, Wim Thiery, Dirk Raes, and Gabriëlle J. M. De Lannoy
Hydrol. Earth Syst. Sci., 26, 3731–3752, https://doi.org/10.5194/hess-26-3731-2022, https://doi.org/10.5194/hess-26-3731-2022, 2022
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Increasing amounts of water are used for agriculture. Therefore, we looked into how irrigation requirements will evolve under a changing climate over Europe. Our results show that, by the end of the century and under high emissions, irrigation water will increase by 30 % on average compared to the year 2000. Also, the irrigation requirement is likely to vary more from 1 year to another. However, if emissions are mitigated, these effects are reduced.
Judit Lienert, Jafet C. M. Andersson, Daniel Hofmann, Francisco Silva Pinto, and Martijn Kuller
Hydrol. Earth Syst. Sci., 26, 2899–2922, https://doi.org/10.5194/hess-26-2899-2022, https://doi.org/10.5194/hess-26-2899-2022, 2022
Short summary
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Many western Africans encounter serious floods every year. The FANFAR project co-designed a pre-operational flood forecasting system (FEWS) with 50 key western African stakeholders. Participatory multi-criteria decision analysis (MCDA) helped prioritize a FEWS that meets their needs: it should provide accurate, clear, and timely flood risk information and work reliably in tough conditions. As a theoretical contribution, we propose an assessment framework for transdisciplinary hydrology research.
Donghoon Lee, Jia Yi Ng, Stefano Galelli, and Paul Block
Hydrol. Earth Syst. Sci., 26, 2431–2448, https://doi.org/10.5194/hess-26-2431-2022, https://doi.org/10.5194/hess-26-2431-2022, 2022
Short summary
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To fully realize the potential of seasonal streamflow forecasts in the hydropower industry, we need to understand the relationship between reservoir design specifications, forecast skill, and value. Here, we rely on realistic forecasts and simulated hydropower operations for 753 dams worldwide to unfold such relationship. Our analysis shows how forecast skill affects hydropower production, what type of dams are most likely to benefit from seasonal forecasts, and where these dams are located.
Herminia Torelló-Sentelles and Christian L. E. Franzke
Hydrol. Earth Syst. Sci., 26, 1821–1844, https://doi.org/10.5194/hess-26-1821-2022, https://doi.org/10.5194/hess-26-1821-2022, 2022
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Drought affects many regions worldwide, and future climate projections imply that drought severity and frequency will increase. Hence, the impacts of drought on the environment and society will also increase considerably. Monitoring and early warning systems for drought rely on several indicators; however, assessments on how these indicators are linked to impacts are still lacking. Our results show that meteorological indices are best linked to impact occurrences.
Leah A. Jackson-Blake, François Clayer, Elvira de Eyto, Andrew S. French, María Dolores Frías, Daniel Mercado-Bettín, Tadhg Moore, Laura Puértolas, Russell Poole, Karsten Rinke, Muhammed Shikhani, Leon van der Linden, and Rafael Marcé
Hydrol. Earth Syst. Sci., 26, 1389–1406, https://doi.org/10.5194/hess-26-1389-2022, https://doi.org/10.5194/hess-26-1389-2022, 2022
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We explore, together with stakeholders, whether seasonal forecasting of water quantity, quality, and ecology can help support water management at five case study sites, primarily in Europe. Reliable forecasting, a season in advance, has huge potential to improve decision-making. However, managers were reluctant to use the forecasts operationally. Key barriers were uncertainty and often poor historic performance. The importance of practical hands-on experience was also highlighted.
Mads Troldborg, Zisis Gagkas, Andy Vinten, Allan Lilly, and Miriam Glendell
Hydrol. Earth Syst. Sci., 26, 1261–1293, https://doi.org/10.5194/hess-26-1261-2022, https://doi.org/10.5194/hess-26-1261-2022, 2022
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Pesticides continue to pose a threat to surface water quality worldwide. Here, we present a spatial Bayesian belief network (BBN) for assessing inherent pesticide risk to water quality. The BBN was applied in a small catchment with limited data to simulate the risk of five pesticides and evaluate the likely effectiveness of mitigation measures. The probabilistic graphical model combines diverse data and explicitly accounts for uncertainties, which are often ignored in pesticide risk assessments.
Ida Karlsson Seidenfaden, Torben Obel Sonnenborg, Jens Christian Refsgaard, Christen Duus Børgesen, Jørgen Eivind Olesen, and Dennis Trolle
Hydrol. Earth Syst. Sci., 26, 955–973, https://doi.org/10.5194/hess-26-955-2022, https://doi.org/10.5194/hess-26-955-2022, 2022
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This study investigates how the spatial nitrate reduction in the subsurface may shift under changing climate and land use conditions. This change is investigated by comparing maps showing the spatial nitrate reduction in an agricultural catchment for current conditions, with maps generated for future projected climate and land use conditions. Results show that future climate flow paths may shift the catchment reduction noticeably, while implications of land use changes were less substantial.
Oleksandr Mialyk, Joep F. Schyns, Martijn J. Booij, and Rick J. Hogeboom
Hydrol. Earth Syst. Sci., 26, 923–940, https://doi.org/10.5194/hess-26-923-2022, https://doi.org/10.5194/hess-26-923-2022, 2022
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As the global demand for crops is increasing, it is vital to understand spatial and temporal patterns of crop water footprints (WFs). Previous studies looked into spatial patterns but not into temporal ones. Here, we present a new process-based gridded crop model to simulate WFs and apply it for maize in 1986–2016. We show that despite the average unit WF reduction (−35 %), the global WF of maize production has increased (+50 %), which might harm ecosystems and human livelihoods in some regions.
Cited articles
Alves, J. M. B., Campos, J. N. B., and Servain, J.: Reservoir Management Using
Coupled Atmospheric and Hydrological Models: The Brazilian Semi-Arid Case,
Water Resour. Manage., 26, 1365–1385, https://doi.org/10.1007/s11269-011-9963-2, 2012. a, b
Barros, F. V. F., de Maria Alves, C., Martins, E. S. P. R., and Reis Jr., D. S.:
The Development and Application of Information System for Water Management and
Allocation (SIGA) to a Negotiable Water Allocation Process in Brazil, in: World
Environmental and Water Resources Congress, 19–23 May 2013, Cincinnati, Ohio,
USA, https://doi.org/10.1061/9780784412947.128, 2013. a
Block, P. and Rajagopalan, B.: Statistical–Dynamical Approach for Streamflow
Modeling at Malakal, Sudan, on the White Nile River, J. Hydrol. Eng., 14,
185–196, https://doi.org/10.1061/(ASCE)1084-0699(2009)14:2(185), 2009. a, b
Block, P. J., Souza Filho, F. A., Sun, L., and Kwon, H.-H.: A Streamflow
Forecasting Framework using Multiple Climate and Hydrological Models, J. Am.
Water Resour. Assoc., 45, 828–843, https://doi.org/10.1111/j.1752-1688.2009.00327.x, 2009. a, b
Boé, J., Terray, L., Habets, F., and Martin, E.: Statistical and dynamical
downscaling of the Seine basin climate for hydro-meteorological studies, Int.
J. Climatol., 27, 1643–1655, https://doi.org/10.1002/joc.1602, 2007. a
Bourdin, D. R., Nipen, T. N., and Stull, R. B.: Reliable probabilistic
forecasts from an ensemble reservoir inflow forecasting system, Water Resour.
Res., 50, 3108–3130, https://doi.org/10.1002/2014wr015462, 2014. a
Braga, C., De Nys, E., Frazao, C., Martins, P., and Martins, E. S. P. R.:
Impacto das mudanças do clima e projeções de Demanda sobre o processo
de alocação de água em Duas bacias do nordeste semiárido
(Portuguese), Agua Brasil series 8, World Bank Group, Washington, D.C., USA, 2013. a
Brazil gridded meteorological data: http://careyking.com/data-downloads/,
last access: 6 April 2019. a
Breiman, L.: Random Forests, Mach. Learn., 45, 5–32, https://doi.org/10.1023/A:1010933404324, 2001. a
Bronstert, A., Jaeger, A., Güntner, A., Hauschild, N., Doll, P., and Krol,
M.: Integrated modelling of water availability and water use in the semi-arid
Northeast of Brazil, Phys. Chem. Earth B, 25, 227–232, https://doi.org/10.1016/S1464-1909(00)00008-3, 2000. a
Bronstert, A., de Araújo, J.-C., Batalla, R. J., Costa, A. C., Delgado, J.
M., Francke, T., Foerster, S., Guentner, A., López-Tarazón, J. A.,
Mamede, G. L., Medeiros, P. H., Mueller, E., and Vericat, D.: Process-based
modelling of erosion, sediment transport and reservoir siltation in mesoscale
semi-arid catchments, J. Soils Sediments, 14, 2001–2018, https://doi.org/10.1007/s11368-014-0994-1, 2014. a
de Araújo, J. C. and Bronstert, A.: A method to assess hydrological drought
in semi-arid environments and its application to the Jaguaribe River basin,
Brazil, Water Int., 41, 213–230, https://doi.org/10.1080/02508060.2015.1113077, 2016. a
de Araújo, J. C. and Medeiros, P. H. A.: Impact of Dense Reservoir Networks
on Water Resources in Semiarid Environments, Aust. J. Water Resour., 17, 87–100,
https://doi.org/10.7158/13241583.2013.11465422, 2013. a
de Figueiredo, J. V., de Araújo, J. C., Medeiros, P. H. A., and Costa, A.
C.: Runoff initiation in a preserved semiarid Caatinga small watershed,
Northeastern Brazil, Hydrol. Process., 30, 2390–2400, https://doi.org/10.1002/hyp.10801, 2016. a
Delgado, J., Zhang, S., Schuettig, M., and Foerster, S.: Quantifying Distributed
Water Availability in Small Dams in the State of Ceará, Brazil, in:
poster presentation, 2nd Mapping Water Bodies from Space Conference, ESA-ESRIN,
Frascati, Italy, 2018a. a
Delgado, J. M., Voss, S., Bürger, G., Vormoor, K., Murawski, A., Rodrigues,
M., Martins, E., Vasconcelos Júnior, F., and Francke, T.: Seasonal Drought
Prediction for Semiarid Northeast Brazil: Verification of Six Hydro-Meteorological
Forecast Products, Hydrol. Earth Syst. Sci., 22, 5041–5056, https://doi.org/10.5194/hess-22-5041-2018, 2018b. a, b, c, d, e, f, g, h, i, j, k, l, m, n
Farmer, W. H. and Vogel, R. M.: On the deterministic and stochastic use of
hydrologic models, Water Resour. Res., 52, 5619–5633, https://doi.org/10.1002/2016WR019129, 2016. a
Francke, T.: ppso: Particle Swarm Optimization and Dynamically Dimensioned
Search, optionally using parallel computing based on Rmpi, R package
version 0.9-9994, available at: https://github.com/TillF/ppso (last
access: 6 April 2019), 2017. a
Gaiser, T., Krol, M., Frischkorn, H., and de Araújo, J. C. (Eds.): Global
Change and Regional Impacts – Water Availability and Vulnerability of
Ecosystems and Society in the Semiarid Northeast of Brazil, Springer-Verlag,
Berlin, Heidelberg, available at: http://www.springer.com/de/book/9783540438243
(last access: 6 April 2019), 2003. a
Galvão, C. D. O., Nobre, P., Braga, A. C. F. M., de Oliveira, K. F., da Silva,
R., Silva, S., Gomes Filho, M. F., Santos, C., Lacerda, F. F., and Moncunill,
D. F.: Climatic predictability, hydrology and water resources over Nordeste
Brazil, in: Regional Hydrological Impacts of Climatic Change: Impact assessment
and decision making, vol. 295 of IAHS Publications, edited by: Wagener, T.,
Franks, S., Gupta, H., Bogh, E., Bastidas, L., Nobre, C., and Galvão, C. D.
O., IAHS Publications, Wallingford, Oxfordshire, UK, 211–220, 2005. a, b
Gudmundsson, L., Bremnes, J. B., Haugen, J. E., and Engen-Skaugen, T.: Technical
Note: Downscaling RCM precipitation to the station scale using statistical
transformations – a comparison of methods, Hydrol. Earth Syst. Sci., 16,
3383–3390, https://doi.org/10.5194/hess-16-3383-2012, 2012. a
Güntner, A.: Large-scale hydrological modelling in the semi-arid North-East
of Brazil, PIK Report 77, Potsdam Institute for Climate Impact Research, Potsdam, Germany, 2002. a
Güntner, A. and Bronstert, A.: Representation of landscape variability and
lateral redistribution processes for large-scale hydrological modelling in
semi-arid areas, J. Hydrol., 297, 136–161, https://doi.org/10.1016/j.jhydrol.2004.04.008, 2004. a
Güntner, A., Krol, M. S., De Araújo, J. C., and Bronstert, A.: Simple
water balance modelling of surface reservoir systems in a large data-scarce
semiarid region, Hydrolog. Sci. J., 49, 901–918, https://doi.org/10.1623/hysj.49.5.901.55139, 2004. a
Gupta, H. V., Kling, H., Yilmaz, K. K., and Martinez, G. F.: Decomposition of
the mean squared error and NSE performance criteria: Implications for improving
hydrological modelling, J. Hydrol., 377, 80–91, https://doi.org/10.1016/j.jhydrol.2009.08.003, 2009. a
Hastenrath, S.: Exploring the climate problems of Brazil's Nordeste: a review,
Climatic Change, 112, 243–251, https://doi.org/10.1007/s10584-011-0227-1, 2012. a, b, c, d
Heine, I., Francke, T., Rogass, C., Medeiros, P. H. A., Bronstert, A., and
Foerster, S.: Monitoring Seasonal Changes in the Water Surface Areas of
Reservoirs Using TerraSAR-X Time Series Data in Semiarid Northeastern Brazil,
IEEE J. Sel. Top. Appl. Earth Obs. Remote Sens., 7, 3190–3199, https://doi.org/10.1109/JSTARS.2014.2323819, 2014. a
Hidroweb: http://www.hidro.ce.gov.br, last access: 6 April 2019. a
Hothorn, T., Buehlmann, P., Dudoit, S., Molinaro, A., and Van Der Laan, M.:
Survival Ensembles, Biostatistics, 7, 355–373, https://doi.org/10.1093/biostatistics/kxj011, 2006. a
IPECE: Anuário Estatístico do Ceará, available at:
https://www.ipece.ce.gov.br/anuario-estatistico-do-ceara/ (last access:
6 April 2019), 2016. a
Jackisch, C., Zehe, E., Samaniego, L., and Singh, A. K.: An experiment to gauge
an ungauged catchment: rapid data assessment and eco-hydrological modelling in
a data-scarce rural catchment, Hydrolog. Sci. J., 59, 2103–2125, https://doi.org/10.1080/02626667.2013.870662, 2014. a
Jacomine, P. K. T., Almeida, J. C., and Medeiros, L. A. R.: Levantamento
exploratorio – Reconhecimento de solos do Estado do Ceará, vol. 1, DNPEA,
DRN-SUDENE, Recife, Brazil, 1973. a
Kelly, K. S. and Krzysztofowicz, R.: Precipitation uncertainty processor for
probabilistic river stage forecasting, Water Resour. Res., 36, 2643–2653,
https://doi.org/10.1029/2000WR900061, 2000. a
Kneis, D.: geostat: Utilities for spatial interpolation, R package version 0.1,
available at: https://github.com/echse/echse_tools/tree/master/R/packages/geostat
(last access: 6 April 2019), 2012. a
Komma, J., Blöschl, G., and Reszler, C.: Soil moisture updating by Ensemble
Kalman Filtering in real-time flood forecasting, J. Hydrol., 357, 228–242,
https://doi.org/10.1016/j.jhydrol.2008.05.020, 2008. a
Krol, M., Jaeger, A., Bronstert, A., and Güntner, A.: Integrated modelling
of climate, water, soil, agricultural and socio-economic processes: A general
introduction of the methodology and some exemplary results from the semi-arid
north-east of Brazil, J. Hydrol., 328, 417–431, https://doi.org/10.1016/j.jhydrol.2005.12.021, 2006. a, b
Krol, M. S., de Vries, M. J., Oel, P. R., and de Araújo, J. C.: Sustainability
of Small Reservoirs and Large Scale Water Availability Under Current Conditions
and Climate Change, Water Resour. Manage., 25, 3017–3026, https://doi.org/10.1007/s11269-011-9787-0, 2011. a
Krzysztofowicz, R. and Kelly, K. S.: Hydrologic uncertainty processor for
probabilistic river stage forecasting, Water Resour. Res., 36, 3265–3277,
https://doi.org/10.1029/2000wr900108, 2000. a
Liu, Y. and Gupta, H. V.: Uncertainty in hydrologic modeling: Toward an
integrated data assimilation framework, Water Resour. Res., 43, W07401,
https://doi.org/10.1029/2006wr005756, 2007. a
Mamede, G. L., Araújo, N. A. M., Schneider, C. M., de Araújo, J. C.,
and Herrmann, H. J.: Overspill avalanching in a dense reservoir network, P.
Natl. Acad. Sci. USA, 109, 7191–7195, https://doi.org/10.1073/pnas.1200398109, 2012. a
Marengo, J. A., Torres, R. R., and Alves, L. M.: Drought in Northeast Brazil – past,
present, and future, Theor. Appl. Climatol., 129, 1189–1200, https://doi.org/10.1007/s00704-016-1840-8, 2017. a, b
Medeiros, P. H. A., Güntner, A., Francke, T., Mamede, G. L., and de Araújo,
J. C.: Modelling spatio-temporal patterns of sediment yield and connectivity in
a semi-arid catchment with the WASA-SED model, Hydrolog. Sci. J., 55, 636–648, https://doi.org/10.1080/02626661003780409, 2010. a
Medeiros, P. H. A., de Araújo, J. C., Mamede, G. L., Creutzfeldt, B.,
Güntner, A., and Bronstert, A.: Connectivity of sediment transport in a
semiarid environment: a synthesis for the Upper Jaguaribe Basin, Brazil, J.
Soils Sediments, 14, 1938–1948, https://doi.org/10.1007/s11368-014-0988-z, 2014. a
Mishra, A. K. and Singh, V. P.: A review of drought concepts, J. Hydrol.,
391, 202–216, https://doi.org/10.1016/j.jhydrol.2010.07.012, 2010. a
Mueller, E. N., Francke, T., Batalla, R. J., and Bronstert, A.: Modelling the
effects of land-use change on runoff and sediment yield for a meso-scale
catchment in the Southern Pyrenees, Catena, 79, 288–296, https://doi.org/10.1016/j.catena.2009.06.007, 2009. a
Mueller, E. N., Güntner, A., Francke, T., and Mamede, G.: Modelling sediment
export, retention and reservoir sedimentation in drylands with the WASA-SED
model, Geosci. Model Dev., 3, 275–291, https://doi.org/10.5194/gmd-3-275-2010, 2010. a, b
Murphy, A. H.: What Is a Good Forecast? An Essay on the Nature of Goodness in
Weather Forecasting, Weather Forecast., 8, 281–293, https://doi.org/10.1175/1520-0434(1993)008<0281:WIAGFA>2.0.CO;2, 1993. a
Paper scripts: https://github.com/tpilz/paper_drought_prediction_brazil,
last access: 6 April 2019. a
Pilz, T., Francke, T., and Bronstert, A.: lumpR 2.0.0: an R package facilitating
landscape discretisation for hillslope-based hydrological models, Geosci. Model
Dev., 10, 3001–3023, https://doi.org/10.5194/gmd-10-3001-2017, 2017. a
Reggiani, P. and Weerts, A. H.: Probabilistic Quantitative Precipitation Forecast
for Flood Prediction: An Application, J. Hydrometeorol., 9, 76–95, https://doi.org/10.1175/2007JHM858.1, 2008. a
Roeckner, E., Arpe, K., Bengtsson, L., Christoph, M., Claussen, M., Dümenil,
L., Esch, M., Giorgetta, M., Schlese, U., and Schulzweida, U.: The atmospheric
general circulation model ECHAM-4: Model description and simulation of
present-day climate, MPI-Report 218, Max-Planck-Institut für Meteorologie,
Hamburg, Germany, 1996. a
Roulin, E. and Vannitsem, S.: Post-processing of medium-range probabilistic
hydrological forecasting: impact of forcing, initial conditions and model errors,
Hydrol. Process., 29, 1434–1449, https://doi.org/10.1002/hyp.10259, 2014. a
Sankarasubramanian, A., Lall, U., Souza Filho, F. A., and Sharma, A.: Improved
water allocation utilizing probabilistic climate forecasts: Short-term water
contracts in a risk management framework, Water Resour. Res., 45, W11409,
https://doi.org/10.1029/2009wr007821, 2009. a
Schaefli, B. and Gupta, H. V.: Do Nash values have value?, Hydrol. Process.,
21, 2075–2080, https://doi.org/10.1002/hyp.6825, 2007. a
Schepen, A. and Wang, Q.: Model averaging methods to merge operational
statistical and dynamic seasonal streamflow forecasts in Australia, Water Resour.
Res., 51, 1797–1812, https://doi.org/10.1002/2014WR016163, 2015. a, b
Seibert, M., Merz, B., and Apel, H.: Seasonal forecasting of hydrological
drought in the Limpopo Basin: a comparison of statistical methods, Hydrol. Earth
Syst. Sci., 21, 1611–1629, https://doi.org/10.5194/hess-21-1611-2017, 2017. a
Sittichok, K., Seidou, O., Djibo, A. G., and Rakangthong, N. K.: Estimation of
the added value of using rainfall–runoff transformation and statistical models
for seasonal streamflow forecasting, Hydrolog. Sci. J., 63, 630–645,
https://doi.org/10.1080/02626667.2018.1445854, 2018. a, b
Souza Filho, F. A. and Lall, U.: Seasonal to interannual ensemble streamflow
forecasts for Ceara, Brazil: Applications of a multivariate, semiparametric
algorithm, Water Resour. Res., 39, 1307, https://doi.org/10.1029/2002wr001373, 2003. a
SRTM data: http://srtm.csi.cgiar.org/srtmdata/, last access: 6 April 2019. a
Strobl, C., Boulesteix, A.-L., Zeileis, A., and Hothorn, T.: Bias in Random
Forest Variable Importance Measures: Illustrations, Sources and a Solution,
BMC Bioinf., 8, 25, https://doi.org/10.1186/1471-2105-8-25, 2007. a
Strobl, C., Boulesteix, A.-L., Kneib, T., Augustin, T., and Zeileis, A.:
Conditional Variable Importance for Random Forests, BMC Bioinf., 9, 307,
https://doi.org/10.1186/1471-2105-9-307, 2008. a, b
Sun, L., Moncunill, D. F., Li, H., Moura, A. D., Filho, F. D. A. D. S., and
Zebiak, S. E.: An Operational Dynamical Downscaling Prediction System for
Nordeste Brazil and the 2002–04 Real-Time Forecast Evaluation, J. Climate,
19, 1990–2007, https://doi.org/10.1175/jcli3715.1, 2006.
a, b
Sun, L., Seidou, O., Nistor, I., and Liu, K.: Review of the Kalman-type
hydrological data assimilation, Hydrolog. Sci. J., 61, 2348–2366, https://doi.org/10.1080/02626667.2015.1127376, 2016. a
Todini, E.: A model conditional processor to assess predictive uncertainty in
flood forecasting, Int. J. River Basin Manage., 6, 123–137, https://doi.org/10.1080/15715124.2008.9635342, 2008. a
Tolson, B. A. and Shoemaker, C. A.: Dynamically dimensioned search algorithm
for computationally efficient watershed model calibration, Water Resour. Res.,
43, W01413, https://doi.org/10.1029/2005wr004723, 2007. a
van Oel, P. R., Krol, M. S., and Hoekstra, A. Y.: Application of multi-agent
simulation to evaluate the influence of reservoir operation strategies on the
distribution of water availability in the semi-arid Jaguaribe basin, Brazil,
Phys. Chem. Earth., 47–48, 173–181, https://doi.org/10.1016/j.pce.2011.07.051, 2012. a
van Oel, P. R., Martins, E. S. P. R., Costa, A. C., Wanders, N., and van Lanen,
H. A. J.: Diagnosing drought using the downstreamness concept: the effect of
reservoir networks on drought evolution, Hydrolog. Sci. J., 63, 979–990,
https://doi.org/10.1080/02626667.2018.1470632, 2018. a
Verkade, J., Brown, J., Reggiani, P., and Weerts, A.: Post-processing ECMWF
precipitation and temperature ensemble reforecasts for operational hydrologic
forecasting at various spatial scales, J. Hydrol., 501, 73–91, https://doi.org/10.1016/j.jhydrol.2013.07.039, 2013. a
Vrugt, J. A., ter Braak, C. J., Diks, C. G., and Schoups, G.: Hydrologic data
assimilation using particle Markov chain Monte Carlo simulation: Theory,
concepts and applications, Adv. Water Resour., 51, 457–478, https://doi.org/10.1016/j.advwatres.2012.04.002, 2013. a
WASA-SED: https://github.com/TillF/WASA-SED, last access: 6 April 2019. a
Xavier, A. C., King, C. W., and Scanlon, B. R.: Daily gridded meteorological
variables in Brazil (1980–2013), Int. J. Climatol., 36, 2644–2659, https://doi.org/10.1002/joc.4518, 2016. a, b
Yan, H., Moradkhani, H., and Zarekarizi, M.: A probabilistic drought forecasting
framework: A combined dynamical and statistical approach, J. Hydrol., 548,
291–304, https://doi.org/10.1016/j.jhydrol.2017.03.004, 2017. a
Short summary
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.
This work investigates different model types for drought prediction in a dryland region....
