Articles | Volume 26, issue 11
https://doi.org/10.5194/hess-26-2899-2022
© Author(s) 2022. 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-26-2899-2022
© Author(s) 2022. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Research article
| 
13 Jun 2022
Research article |
| 13 Jun 2022
| 13 Jun 2022
The role of multi-criteria decision analysis in a transdisciplinary process: co-developing a flood forecasting system in western Africa
Eawag: Swiss Federal Institute of Aquatic Science & Technology, Environmental Social Sciences (ESS) Department, Ueberlandstrasse 133, 8600 Duebendorf, Switzerland
Jafet C. M. Andersson
Swedish Meteorological and Hydrological Institute (SMHI), Hydrology Research, 601 76 Norrköping, Sweden
Daniel Hofmann
Eawag: Swiss Federal Institute of Aquatic Science & Technology, Environmental Social Sciences (ESS) Department, Ueberlandstrasse 133, 8600 Duebendorf, Switzerland
Francisco Silva Pinto
Eawag: Swiss Federal Institute of Aquatic Science & Technology, Environmental Social Sciences (ESS) Department, Ueberlandstrasse 133, 8600 Duebendorf, Switzerland
Martijn Kuller
Eawag: Swiss Federal Institute of Aquatic Science & Technology, Environmental Social Sciences (ESS) Department, Ueberlandstrasse 133, 8600 Duebendorf, Switzerland
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Judit Lienert, Jafet Andersson, Daniel Hofmann, Francisco Silva Pinto, and Martijn Kuller
Hydrol. Earth Syst. Sci. Discuss., https://doi.org/10.5194/hess-2021-177, https://doi.org/10.5194/hess-2021-177, 2021
Manuscript not accepted for further review
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West Africa faces serious floods, affecting millions of people every year. The FANFAR project co-designed a flood forecasting and warning system at lively workshops together with 50–60 key West African stakeholders. We prioritized FANFAR system configurations that best meet stakeholders’ needs and expectations. Stakeholders preferred a system producing accurate, clear, and accessible flood risk information, which works reliably under difficult West African conditions.
Louise Petersson Wårdh, Hasan Hosseini, Remco van de Beek, Jafet C. M. Andersson, Hossein Hashemi, and Jonas Olsson
EGUsphere, https://doi.org/10.5194/egusphere-2025-2820, https://doi.org/10.5194/egusphere-2025-2820, 2025
This preprint is open for discussion and under review for Atmospheric Measurement Techniques (AMT).
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Extreme rainfall can cause severe damage, especially in cities. However, national meteorological institutes have difficulties to observe such events. In this study we show that rainfall observations collected by local actors, such as municipalities and even citizens, can contribute to better rainfall observations. Sweden’s official monitoring network could not capture the event under study, whereas the complementary sensors contributed to a better understanding of the magnitude of the event.
Erlend Øydvin, Renaud Gaban, Jafet Andersson, Remco (C. Z.) van de Beek, Mareile Astrid Wolff, Nils-Otto Kitterød, Christian Chwala, and Vegard Nilsen
Atmos. Meas. Tech., 18, 2279–2293, https://doi.org/10.5194/amt-18-2279-2025, https://doi.org/10.5194/amt-18-2279-2025, 2025
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We present a novel method for classifying rain and snow by combining data from commercial microwave links (CMLs) with weather radar. We compare this to a reference method using dew point temperature for precipitation type classification. Evaluations with nearby disdrometers show that CMLs improve the classification of dry snow and rainfall, outperforming the reference method.
Jafet C. M. Andersson, Jonas Olsson, Remco (C. Z.) van de Beek, and Jonas Hansryd
Earth Syst. Sci. Data, 14, 5411–5426, https://doi.org/10.5194/essd-14-5411-2022, https://doi.org/10.5194/essd-14-5411-2022, 2022
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This article presents data from three types of sensors for rain measurement, i.e. commercial microwave links (CMLs), gauges, and weather radar. Access to CML data is typically restricted, which limits research and applications. We openly share a large CML database (364 CMLs at 10 s resolution with true coordinates), along with 11 gauges and one radar composite. This opens up new opportunities to study CMLs, to benchmark algorithms, and to investigate how multiple sensors can best be combined.
Judit Lienert, Jafet Andersson, Daniel Hofmann, Francisco Silva Pinto, and Martijn Kuller
Hydrol. Earth Syst. Sci. Discuss., https://doi.org/10.5194/hess-2021-177, https://doi.org/10.5194/hess-2021-177, 2021
Manuscript not accepted for further review
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West Africa faces serious floods, affecting millions of people every year. The FANFAR project co-designed a flood forecasting and warning system at lively workshops together with 50–60 key West African stakeholders. We prioritized FANFAR system configurations that best meet stakeholders’ needs and expectations. Stakeholders preferred a system producing accurate, clear, and accessible flood risk information, which works reliably under difficult West African conditions.
Remco (C. Z.) van de Beek, Jonas Olsson, and Jafet Andersson
Adv. Sci. Res., 17, 79–85, https://doi.org/10.5194/asr-17-79-2020, https://doi.org/10.5194/asr-17-79-2020, 2020
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High-resolution precipitation observation based on signal attenuation in a Commercial Microwave Link (CML) network is an emerging technique that is becoming more and more used. Here a pragmatic method for estimating the optimal resolution is presented. The method is demonstrated using a CML network and a representative precpitation pattern in Stockholm, Sweden. One application would be feasibility investigations in cities considering starting CML-based precipitation observations.
Berit Arheimer, Rafael Pimentel, Kristina Isberg, Louise Crochemore, Jafet C. M. Andersson, Abdulghani Hasan, and Luis Pineda
Hydrol. Earth Syst. Sci., 24, 535–559, https://doi.org/10.5194/hess-24-535-2020, https://doi.org/10.5194/hess-24-535-2020, 2020
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How far can we reach in predicting river flow globally, using integrated catchment modelling and open global data? For the first time, a catchment model was applied world-wide, covering the entire globe with a relatively high resolution. The results show that stepwise calibration provided better performance than traditional modelling of the globe. The study highlights that open data and models are crucial to advance hydrological sciences by sharing knowledge and enabling transparent evaluation.
W. Greuell, J. C. M. Andersson, C. Donnelly, L. Feyen, D. Gerten, F. Ludwig, G. Pisacane, P. Roudier, and S. Schaphoff
Hydrol. Earth Syst. Sci. Discuss., https://doi.org/10.5194/hessd-12-10289-2015, https://doi.org/10.5194/hessd-12-10289-2015, 2015
Revised manuscript has not been submitted
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The main aims of this paper are the evaluation of five large-scale hydrological models across Europe and the assessment of the suitability of the models for making projections under climate change. While we found large inter-model differences in biases, the skill to simulate interannual variability in discharge did not differ much between the models. Assuming that the skill of a model to simulate interannual variability provides a measure for the model’s ability to make projections under climate
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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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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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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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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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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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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.
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.
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.
Cited articles
Abdullah, M. F., Siraj, S., and Hodgett, R. E.: An overview of Multi-Criteria Decision Analysis (MCDA) application in managing water-related disaster events: Analyzing 20 years of literature for flood and drought events, Water, 13, 1358, https://doi.org/10.3390/w13101358, 2021.
Aich, V., Liersch, S., Vetter, T., Fournet, S., Andersson, J. C. M., Calmanti, S., van Weert, F. H. A., Hattermann, F. F., and Paton, E. N.: Flood projections within the Niger River Basin under future land use and climate change, Sci. Total Environ., 562, 666–677, https://doi.org/10.1016/j.scitotenv.2016.04.021, 2016.
Andersson, J. and Ibrahim, A.: Interview about the FANFAR project for the European Development Days (the Green Deal for a Sustainable Future; 15–16 June 2021, #edd21), https://youtu.be/OrrpG6wZmhI (last access: 9 June 2022), 2021.
Andersson, J., Ali, A., Arheimer, B., Crochemore, L., Gbobaniyi, B., Gustafsson, D., Hamatan, M., Kuller, M., Lienert, J., Machefer, M., Magashi, U., Mathot, E., Minoungou, B., Naranjo, A., Ndayizigiye, T., Pacini, F., Silva Pinto, F., Santos, L., and Shuaib, A.: Flood forecasting and alerts in West Africa – experiences from co-developing a pre-operational system at regional scale, EGU General Assembly 2020, online, 4–8 May 2020, https://doi.org/10.5194/egusphere-egu2020-7660, 2020a.
Andersson, J., Santos, L., Isberg, K., Gustafsson, D.,
Musuuza, J., Minoungou, B., and Crochemore, L.: Deliverable:
D3.2. Report documenting and explaining the hydrological models,
European Union, Horizon 2020, Innovation Action ICT programme,
project 780118 FANFAR, https://doi.org/10.13140/RG.2.2.17369.85601, 41 pp., 2020b.
Andersson, J. C. M., Arheimer, B., Traoré, F., Gustafsson, D., and Ali, A.: Process refinements improve a hydrological model concept applied to the Niger River basin, Hydrol. Process., 31, 4540–4554, https://doi.org/10.1002/hyp.11376, 2017.
Arheimer, B., Pimentel, R., Isberg, K., Crochemore, L., Andersson, J. C. M., Hasan, A., and Pineda, L.: Global catchment modelling using World-Wide HYPE (WWH), open data, and stepwise parameter estimation, Hydrol. Earth Syst. Sci., 24, 535–559, https://doi.org/10.5194/hess-24-535-2020, 2020.
Arvai, J. L., Gregory, R., and McDaniels, T. L.: Testing a structured decision approach: Value-focused thinking for deliberative risk communication, Risk Anal., 21, 1065–1076, https://doi.org/10.1111/0272-4332.216175, 2001.
Basher, R.: Global early warning systems for natural hazards: systematic and people-centred, Philos. T. Roy. Soc. A, 364, 2167–2180, https://doi.org/10.1098/rsta.2006.1819, 2006.
Belton, V. and Stewart, T. S.: Multiple Criteria Decision Analysis: An Integrated Approach, Springer Science+Business Media Springer, Dordrecht, The Netherlands, https://doi.org/10.1007/978-1-4615-1495-4, ISBN 978-1-4613-5582-3, 978-1-4615-1495-4, 2002.
Berg, P., Almén, F., and Bozhinova, D.: HydroGFD3.0
(Hydrological Global Forcing Data): a 25 km global precipitation
and temperature data set updated in near-real time, Earth
Syst. Sci. Data, 13, 1531–1545, https://doi.org/10.5194/essd-13-1531-2021,
2021.
Bierens, S., Boersma, K., and van den Homberg, M. J. C.: The legitimacy, accountability, and ownership of an impact-based forecasting model in disaster governance, Politics Gov., 8, 445–455, https://doi.org/10.17645/pag.v8i4.3161, 2020.
Bond, S. D., Carlson, K. A., and Keeney, R. L.: Generating objectives: Can decision makers articulate what they want?, Manage. Sci., 54, 56–70, https://doi.org/10.1287/mnsc.1070.0754, 2008.
Caniglia, G., Luederitz, C., von Wirth, T., Fazey, I., Martin-Lopez, B., Hondrila, K., Konig, A., von Wehrden, H., Schapke, N. A., Laubichler, M. D., and Lang, D. J.: A pluralistic and integrated approach to action-oriented knowledge for sustainability, Nat. Sustain., 4, 93–100, https://doi.org/10.1038/s41893-020-00616-z, 2021.
Convertino, M., Annis, A., and Nardi, F.: Information-theoretic portfolio decision model for optimal flood management, Environ. Modell. Softw., 119, 258–274, https://doi.org/10.1016/j.envsoft.2019.06.013, 2019.
de Brito, M. M. and Evers, M.: Multi-criteria decision-making for flood risk management: a survey of the current state of the art, Nat. Hazards Earth Syst. Sci., 16, 1019–1033, https://doi.org/10.5194/nhess-16-1019-2016, 2016.
de Brito, M. M., Evers, M., and Almoradie, A. D. S.: Participatory flood vulnerability assessment: a multi-criteria approach, Hydrol. Earth Syst. Sci., 22, 373–390, https://doi.org/10.5194/hess-22-373-2018, 2018.
Eisenführ, F., Weber, M., and Langer, T.: Rational Decision Making, Springer, Berlin, Heidelberg, New York, ISBN 978-3-642-02850-2, 2010.
ERIC open (Eawag Research Data Institutional Collection), Eawag: Swiss Federal Institute of Aquatic Science and Technology, 8600 Dübendorf, Switzerland, https://opendata.eawag.ch/, last access: 2 June 2022.
Evers, M., Almoradie, A., and de Brito, M. M.: Enhancing Flood Resilience Through Collaborative Modelling and Multi-criteria Decision Analysis (MCDA), in: Urban Disaster Resilience and Security: Addressing Risks in Societies, edited by: Fekete, A. and Fiedrich, F., Urban Book Series, 221–236, https://doi.org/10.1007/978-3-319-68606-6_14,
ISBN 978-3-319-68606-6, 978-3-319-68605-9, 2018.
FANFAR: Operational flood forecasting and alerts in West
Africa. A transdisciplinary international project funded by the
European Union, https://fanfar.eu and
https://cordis.europa.eu/project/id/780118/results, last
access: 30 September 2021.
FANFAR consortium: Video introducing the visualization portal of FANFAR, Youtube, https://youtu.be/GjGUkapNpus (last access: 9 June 2022), 2020.
Figueira, J. and Roy, B.: Determining the weights of criteria in the ELECTRE type methods with a revised Simos' procedure, Eur. J. Oper. Res., 139, 317–326, https://doi.org/10.1016/S0377-2217(01)00370-8, 2002.
Gregory, R., Failing, L., Harstone, M., Long, G., McDaniels, T., and Ohlson, D.: Structured decision making: A practical guide to environmental management choices, Wiley-Blackwell Publishing, ISBN 978-1-4443-3341-1, 978-1-4443-3342-8, 2012a.
Gregory, R., Long, G., Colligan, M., Geiger, J. G., and Laser, M.: When experts disagree (and better science won't help much): Using structured deliberations to support endangered species recovery planning, J. Environ. Manage., 105, 30–43, https://doi.org/10.1016/j.jenvman.2012.03.001, 2012b.
Grimble, R., and Wellard, K.: Stakeholder methodologies in natural resource management: A review of principles, contexts, experiences and opportunities, Agr. Syst., 55, 173–193, https://doi.org/10.1016/S0308-521X(97)00006-1, 1997.
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.
Haag, F., Lienert, J., Schuwirth, N., and Reichert, P.: Identifying non-additive multi-attribute value functions based on uncertain indifference statements, Omega-Int. J. Manage. S., 85, 49–67, https://doi.org/10.1016/j.omega.2018.05.011, 2019a.
Haag, F., Reichert, P., Maurer, M., and Lienert, J.: Integrating uncertainty of preferences and predictions in decision models: An application to regional wastewater planning, J. Environ. Manage., 252, 109652–109652, https://doi.org/10.1016/j.jenvman.2019.109652, 2019b.
Haag, F., Zuercher, S., and Lienert, J.: Enhancing the elicitation of diverse decision objectives for public planning, Eur. J. Oper. Res., 279, 912–928, https://doi.org/10.1016/j.ejor.2019.06.002, 2019c.
Haag, F., Aubert, A. H., and Lienert, J.: ValueDecisions, a web app to support decisions with conflicting objectives, multiple stakeholders, and uncertainty, Environ. Modell. Softw., 150, 105361, https://doi.org/10.1016/j.envsoft.2022.105361, 2022.
Howard, R. A.: Decision-analysis – Practice and promise, Manage. Sci., 34, 679–695, https://doi.org/10.1287/mnsc.34.6.679, 1988.
Jahn, T., Bergmann, M., and Keil, F.: Transdisciplinarity: Between mainstreaming and marginalization, Ecol. Econ., 79, 1–10, https://doi.org/10.1016/j.ecolecon.2012.04.017, 2012.
Janis, I. L.: Victims of Groupthink, Houghton Mifflin, New York, ISBN 13 978-0395140444,
ISBN 10 0395140447, 1972.
Keeney, R. L.: Decision-Analysis – an Overview, Oper. Res., 30, 803–838, https://doi.org/10.1287/opre.30.5.803, 1982.
Keeney, R. L.: Value-focused thinking: Identifying decision opportunities and creating alternatives, Eur. J. Oper. Res., 92, 537–549, https://doi.org/10.1016/0377-2217(96)00004-5, 1996.
Kendall, M. G.: A new measure of rank correlation, Biometrika, 30, 81–93, https://doi.org/10.2307/2332226, 1938.
Kuller, M., Silva Pinto, F., Schönholzer, K., and Lienert, J.: Effective risk communication for early flood warning in West-Africa, EGU General Assembly 2020, online, 4–8 May 2020, https://doi.org/10.5194/egusphere-egu2020-9425, 2020.
Kuller, M., Schönholzer, K., and Lienert, J.: Creating effective flood warnings: a framework from a critical review, J. Hydrol., 602, 126708, https://doi.org/10.1016/j.jhydrol.2021.126708, 2021.
Kuller, M., Beutler, P., and Lienert, J.: Preference change in stakeholder group-decision processes in the public sector: extent, causes and implications, Eur. J. Oper. Res., in review, 2022.
Lang, D. J., Wiek, A., Bergmann, M., Stauffacher, M., Martens, P., Moll, P., Swilling, M., and Thomas, C. J.: Transdisciplinary research in sustainability science: practice, principles, and challenges, Sustain. Sci., 7, 25–43, https://doi.org/10.1007/s11625-011-0149-x, 2012.
Lemos, M. C. and Morehouse, B. J.: The co-production of science and policy in integrated climate assessments, Global Environ. Chang., 15, 57–68, https://doi.org/10.1016/j.gloenvcha.2004.09.004, 2005.
Lichtenstein, S. and Slovic, P. (Eds.): The Construction of Preference, Cambridge University Press,
ISBN 978-0-521-83428-5, https://www.cambridge.org/ch/academic/subjects/psychology/cognition/construction-preference#OJjDl3E664yCXSzp.97 (last access: 9 June 2022), 2006.
Lienert, J., Schnetzer, F., and Ingold, K.: Stakeholder analysis combined with social network analysis provides fine-grained insights into water infrastructure planning processes, J. Environ. Manage., 125, 134–148, https://doi.org/10.1016/j.jenvman.2013.03.052, 2013.
Lienert, J., Scholten, L., Egger, C., and Maurer, M.: Structured decision-making for sustainable water infrastructure planning and four future scenarios, EURO Journal on Decision Processes, 3, 107–140, https://doi.org/10.1007/s40070-014-0030-0, 2015.
Lienert, J., Andersson, J., Hofmann, D., Silva Pinto, F.,
and Kuller, M.: Deliverable D2.2. Report on the co-design workshops
in FANFAR to create a flood forecast and alert system for West
Africa European Union, Horizon 2020, Innovation Action ICT
programme, project 780118 FANFAR,
https://www.dora.lib4ri.ch/eawag/islandora/object/eawag:21545 (last access: 3 June 2022),
Deliverable D2.2, 29 pp., 2020.
Lienert, J., Andersson, J. C. M. , Hofmann, D., Silva Pinto, F., and Kuller, M.: Data for scientific paper (on Eawag Research Data Institutional Collection, ERIC): The role of MCDA in a transdisciplinary process: Co-developing a flood forecasting system in West Africa, https://doi.org/10.25678/000629, 2022.
Liu, S., Maclean, K., and Robinson, C.: A cost-effective framework to prioritise stakeholder participation options, EURO Journal on Decision Processes, 7, 221–241, https://doi.org/10.1007/s40070-019-00103-7, 2019.
Lumbroso, D., Brown, E., and Ranger, N.: Stakeholders' perceptions of the overall effectiveness of early warning systems and risk assessments for weather-related hazards in Africa, the Caribbean and South Asia, Nat. Hazards, 84, 2121–2144, https://doi.org/10.1007/s11069-016-2537-0, 2016.
Marttunen, M. and Hamalainen, R. P.: The decision analysis interview approach in the collaborative management of a large regulated water course, Environ. Manage., 42, 1026–1042, https://doi.org/10.1007/s00267-008-9200-9, 2008.
Marttunen, M., Lienert, J., and Belton, V.: Structuring problems for Multi-Criteria Decision Analysis in practice: A literature review of method combinations, Eur. J. Oper. Res., 263, 1–17, https://doi.org/10.1016/j.ejor.2017.04.041, 2017.
Marttunen, M., Belton, V., and Lienert, J.: Are objectives hierarchy related biases observed in practice? A meta-analysis of environmental and energy applications of Multi-Criteria Decision Analysis, Eur. J. Oper. Res., 265, 178–194, https://doi.org/10.1016/j.ejor.2017.02.038, 2018.
Marttunen, M., Haag, F., Belton, V., Mustajoki, J., and Lienert, J.: Methods to inform the development of concise objectives hierarchies in multi-criteria decision analysis, Eur. J. Oper. Res., 277, 604–620, https://doi.org/10.1016/j.ejor.2019.02.039, 2019.
Massazza, G., Tarchiani, V., Andersson, J. C. M., Ali, A., Ibrahim, M. H., Pezzoli, A., De Filippis, T., Rocchi, L., Minoungou, B., Gustafsson, D., and Rosso, M.: Downscaling Regional Hydrological Forecast for Operational Use in Local Early Warning: HYPE Models in the Sirba River, Water, 12, 3504, https://doi.org/10.3390/w12123504 2020.
Mauser, W., Klepper, G., Rice, M., Schmalzbauer, B. S., Hackmann, H., Leemans, R., and Moore, H.: Transdisciplinary global change research: the co-creation of knowledge for sustainability, Curr. Opin. Env. Sust., 5, 420–431, https://doi.org/10.1016/j.cosust.2013.07.001, 2013.
Montibeller, G. and von Winterfeldt, D.: Cognitive and motivational biases in decision and risk analysis, Risk Anal., 35, 1230–1251, https://doi.org/10.1111/risa.12360, 2015.
Nachappa, T. G., Piralilou, S. T., Gholamnia, K., Ghorbanzadeh, O., Rahmati, O., and Blaschke, T.: Flood susceptibility mapping with machine learning, multi-criteria decision analysis and ensemble using Dempster Shafer Theory, J. Hydrol., 590, 125275, https://doi.org/10.1016/j.jhydrol.2020.125275, 2020.
NBA (Niger Basin Authority): SATH-NBA (Satellite based
water monitoring and flow forecasting for the Niger River Basin,
http://www.sath.abn.ne/, last access: 9 November 2020.
Nka, B. N., Oudin, L., Karambiri, H., Paturel, J. E., and Ribstein, P.: Trends in floods in West Africa: analysis based on 11 catchments in the region, Hydrol. Earth Syst. Sci., 19, 4707–4719, https://doi.org/10.5194/hess-19-4707-2015, 2015.
Norstrom, A. V., Cvitanovic, C., Lof, M. F., West, S., Wyborn, C., Balvanera, P., Bednarek, A. T., Bennett, E. M., Biggs, R., de Bremond, A., Campbell, B. M., Canadell, J. G., Carpenter, S. R., Folke, C., Fulton, E. A., Gaffney, O., Gelcich, S., Jouffray, J. B., Leach, M., Le Tissier, M., Martin-Lopez, B., Louder, E., Loutre, M. F., Meadow, A. M., Nagendra, H., Payne, D., Peterson, G. D., Reyers, B., Scholes, R., Speranza, C. I., Spierenburg, M., Stafford-Smith, M., Tengo, M., van der Hel, S., van Putten, I., and Osterblom, H.: Principles for knowledge co-production in sustainability research, Nat. Sustain., 3, 182–190, https://doi.org/10.1038/s41893-019-0448-2, 2020.
O'Hagan, A.: Expert knowledge elicitation: subjective but scientific, Am. Stat., 73, 69–81, https://doi.org/10.1080/00031305.2018.1518265, 2019.
OCHA: West and Central Africa: flooding situation, UN Office for the Coordination of Humanitarian Affairs (OCHA), https://reliefweb.int/report/niger/west-and-central-africa-flooding-situation-23-october-2020 (last access: 3 June 2022), 2, 2020.
Pang, B., Yue, J. J., Huang, Z. Q., and Zhang, R.: Parameter uncertainty assessment of a flood forecasting model using multiple objectives, J. Flood Risk Manag., 12, e12493, https://doi.org/10.1111/jfr3.12493, 2019.
Passerotti, G., Massazza, G., Pezzoli, A., Bigi, V., Zsótér, E., and Rosso, M.: Hydrological Model Application in the Sirba River: Early Warning System and GloFAS Improvements, Water, 12, 620, https://doi.org/10.3390/w12030620, 2020.
Paulus, P. B. and Yang, H. C.: Idea generation in groups: A basis for creativity in organizations, Organ. Behav. Hum. Dec., 82, 76–87, https://doi.org/10.1006/obhd.2000.2888, 2000.
Perera, D., Seidou, O., Agnihotri, J., Rasmy, M.,
Smakhtin, V., Coulibaly, P., and Mehmood, H.: Flood early warning
systems: a review of benefits, challenges and prospects, United
Nations University Institute for Water, Environment and Health
(UNU-INWEH), https://inweh.unu.edu/flood-early-warning-systems-a-review-of-benefits-challenges-and-prospects/ (last access:
3 June 2022), Hamilton, Canada, 26,
2019.
Pham, B. T., Luu, C., Phong, T. V., Nguyen, H. D., Le, H. V., Tran, T. Q., Ta, H. T., and Prakash, I.: Flood risk assessment using hybrid artificial intelligence models integrated with multi-criteria decision analysis in Quang Nam Province, Vietnam, J. Hydrol., 592, 125815, https://doi.org/10.1016/j.jhydrol.2020.125815, 2021.
Pictet, J. and Bollinger, D.: Extended use of the cards procedure as a simple elicitation technique for MAVT. Application to public procurement in Switzerland, Eur. J. Oper. Res., 185, 1300–1307, https://doi.org/10.1016/j.ejor.2006.05.051, 2008.
R Core Team: R: A language and environment for statistical computing, Version 3.3.1, R Foundation for Statistical Computing, http://www.R-project.org/ (last access: 3 June 2022), Vienna, Austria, 2018.
Reed, M. S., Graves, A., Dandy, N., Posthumus, H., Hubacek, K., Morris, J., Prell, C., Quinn, C. H., and Stringer, L. C.: Who's in and why? A typology of stakeholder analysis methods for natural resource management, J. Environ. Manage., 90, 1933–1949, https://doi.org/10.1016/j.jenvman.2009.01.001, 2009.
Reichert, P., Schuwirth, N., and Langhans, S. D.: Constructing, evaluating and visualizing value and utility functions for decision support, Environ. Modell. Softw., 46, 283–291, https://doi.org/10.1016/j.envsoft.2013.01.017, 2013.
Reichert, P., Langhans, S. D., Lienert, J., and Schuwirth, N.: The conceptual foundation of environmental decision support, J. Environ. Manage., 154, 316–332, https://doi.org/10.1016/j.jenvman.2015.01.053, 2015.
Reichert, P., Niederberger, K., Rey, P., Helg, U., and Haertel-Borer, S.: The need for unconventional value aggregation techniques: experiences from eliciting stakeholder preferences in environmental management, EURO Journal on Decision Processes, 7, 197–219, https://doi.org/10.1007/s40070-019-00101-9, 2019.
Ronco, P., Bullo, M., Torresan, S., Critto, A., Olschewski, R., Zappa, M., and Marcomini, A.: KULTURisk regional risk assessment methodology for water-related natural hazards – Part 2: Application to the Zurich case study, Hydrol. Earth Syst. Sci., 19, 1561–1576, https://doi.org/10.5194/hess-19-1561-2015, 2015.
Rosenhead, J. and Mingers, J.: Rational Analysis for a Problematic World Revisited: Problem Structuring Methods for Complexity, Uncertainty and Conflict, John Wiley & Sons, Chichester, ISBN 978-0-471-49523-9, 2001.
Roudier, P., Ducharne, A., and Feyen, L.: Climate change impacts on runoff in West Africa: a review, Hydrol. Earth Syst. Sci., 18, 2789–2801, https://doi.org/10.5194/hess-18-2789-2014, 2014.
Samanta, S., Koloa, C., Pal, D. K., and Palsamanta, B.: Flood Risk Analysis in Lower Part of Markham River Based on Multi-Criteria Decision Approach (MCDA), Hydrology, 3, 29, https://doi.org/10.3390/hydrology3030029, 2016.
Santos, L., Andersson, J. C. M., and Arheimer, B.: Evaluation of parameter sensitivity of a rainfall-runoff model over a global catchment set, Hydrolog. Sci. J., 67, 342–357, https://doi.org/10.1080/02626667.2022.2035388, 2022.
Schneider, F., Giger, M., Harari, N., Moser, S., Oberlack, C., Providoli, I., Schmid, L., Tribaldos, T., and Zimmermann, A.: Transdisciplinary co-production of knowledge and sustainability transformations: Three generic mechanisms of impact generation, Environ. Sci. Policy, 102, 26–35, https://doi.org/10.1016/j.envsci.2019.08.017, 2019.
Shiny: Web Application Framework for R, R package version 1.5, https://cran.r-project.org/web/packages/shiny/index.html (last access: 3 June 2022), 2020.
Silva Pinto, F. and Lienert, J.: Report activities to establish co-design committee, stakeholder analysis, European Union, Horizon 2020, Innovation Action ICT programme, project 780118 FANFAR, https://www.dora.lib4ri.ch/eawag/islandora/object/eawag%3A23886 (last access: 3 June 2022), Deliverable D2.1, 48 pp., 2018.
Sultan, B., Lejeune, Q., Menke, I., Maskell, G., Lee, K., Noblet, M., Sy, I., and Roudier, P.: Current needs for climate services in West Africa: Results from two stakeholder surveys, Clim. Serv., 18, 100166, https://doi.org/10.1016/j.cliser.2020.100166, 2020.
Tang, Z. Q., Zhang, H., Yi, S. Z., and Xiao, Y. F.: Assessment of flood susceptible areas using spatially explicit, probabilistic multi-criteria decision analysis, J. Hydrol., 558, 144–158, https://doi.org/10.1016/j.jhydrol.2018.01.033, 2018.
UNISDR: Early warning practices can save lives: selected examples. Good practices and lessons learned, United Nations Secretariat of the International Strategy for Disaster Reduction (UNISDR), https://www.unisdr.org/files/15254_EWSBBLLfinalweb.pdf (last access: 3 June 2020), Bonn, Germany, 2010.
WMO: 2020 State of climate services: risk information and early warning systems, WMO (World Meteorological Organization), https://library.wmo.int/index.php?lvl=notice_display&id=21777#.YeU1A_go8ab (last access: 3 June 2022), 2020.
WMO: Regional Climate Outlook Forums, WMO (World Meteorological Organization), https://public.wmo.int/en/our-mandate/climate/regional-climate-outlook-products, last access: 25 February 2021.
Wuelser, G., Adler, C., Breu, T., Hadorn, G. H., Wiesmann, U., and Pohl, C.: On which common ground to build? Transferable knowledge across cases in transdisciplinary sustainability research, Sustain. Sci., 16, 1891–1905, https://doi.org/10.1007/s11625-021-01010-0, 2021.
Zheng, J., Egger, C., and Lienert, J.: A scenario-based MCDA framework for wastewater infrastructure planning under uncertainty, J. Environ. Manage., 183, 895–908, https://doi.org/10.1016/j.jenvman.2016.09.027, 2016.
Short summary
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.
Many western Africans encounter serious floods every year. The FANFAR project co-designed a...
