Articles | Volume 18, issue 6
https://doi.org/10.5194/hess-18-2141-2014
© Author(s) 2014. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
https://doi.org/10.5194/hess-18-2141-2014
© Author(s) 2014. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
A prototype framework for models of socio-hydrology: identification of key feedback loops and parameterisation approach
Y. Elshafei
School of Earth & Environment, The University of Western Australia, Crawley WA 6009, Australia
M. Sivapalan
Department of Civil and Environmental Engineering, University of Illinois at Urbana-Champaign, N. Mathews Avenue, Urbana, IL 61801, USA
Department of Geography and Geographic Information Science, University of Illinois at Urbana-Champaign, Computing Applications Building, Springfield Avenue, Urbana, IL 61801, USA
M. Tonts
School of Earth & Environment, The University of Western Australia, Crawley WA 6009, Australia
M. R. Hipsey
School of Earth & Environment, The University of Western Australia, Crawley WA 6009, Australia
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Zewei Ma, Kaiyu Guan, Bin Peng, Wang Zhou, Robert Grant, Jinyun Tang, Murugesu Sivapalan, Ming Pan, Li Li, and Zhenong Jin
Hydrol. Earth Syst. Sci. Discuss., https://doi.org/10.5194/hess-2024-340, https://doi.org/10.5194/hess-2024-340, 2024
Preprint under review for HESS
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We explore tile drainage’ impacts on the integrated hydrology-biogeochemistry-plant system, using ecosys with soil oxygen and microbe dynamics. We found that tile drainage lowers soil water content and improves soil oxygen levels, which helps crops grow better, especially during wet springs, and the developed root system also helps mitigate drought stress on dry summers. Overall, tile drainage increases crop resilience to climate change, making it a valuable future agricultural practice.
Pankaj Dey, Jeenu Mathai, Murugesu Sivapalan, and Pradeep P. Mujumdar
Hydrol. Earth Syst. Sci., 28, 1493–1514, https://doi.org/10.5194/hess-28-1493-2024, https://doi.org/10.5194/hess-28-1493-2024, 2024
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This study explores the regional streamflow variability in Peninsular India. This variability is governed by monsoons, mountainous systems, and geologic gradients. A linkage between these influencing factors and streamflow variability is established using a Wegenerian approach and flow duration curves.
Pankaj Dey, Jeenu Mathai, Murugesu Sivapalan, and Pradeep Mujumdar
Hydrol. Earth Syst. Sci. Discuss., https://doi.org/10.5194/hess-2022-286, https://doi.org/10.5194/hess-2022-286, 2023
Preprint withdrawn
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This study explores the regional streamflow variability in Peninsular India – which is governed by monsoons, mountainous systems and geologic gradients. A linkage between these influencers and streamflow variability is established.
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.
Yongping Wei, Jing Wei, Gen Li, Shuanglei Wu, David Yu, Mohammad Ghoreishi, You Lu, Felipe Augusto Arguello Souza, Murugesu Sivapalan, and Fuqiang Tian
Hydrol. Earth Syst. Sci., 26, 2131–2146, https://doi.org/10.5194/hess-26-2131-2022, https://doi.org/10.5194/hess-26-2131-2022, 2022
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There is increasing tension among the riparian countries of transboundary rivers. This article proposes a socio-hydrological framework that incorporates the slow and less visible societal processes into existing hydro-economic models, revealing the slow and hidden feedbacks between societal and hydrological processes. This framework will contribute to process-based understanding of the complex mechanism that drives conflict and cooperation in transboundary river management.
You Lu, Fuqiang Tian, Liying Guo, Iolanda Borzì, Rupesh Patil, Jing Wei, Dengfeng Liu, Yongping Wei, David J. Yu, and Murugesu Sivapalan
Hydrol. Earth Syst. Sci., 25, 1883–1903, https://doi.org/10.5194/hess-25-1883-2021, https://doi.org/10.5194/hess-25-1883-2021, 2021
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The upstream countries in the transboundary Lancang–Mekong basin build dams for hydropower, while downstream ones gain irrigation and fishery benefits. Dam operation changes the seasonality of runoff downstream, resulting in their concerns. Upstream countries may cooperate and change their regulations of dams to gain indirect political benefits. The socio-hydrological model couples hydrology, reservoir, economy, and cooperation and reproduces the phenomena, providing a useful model framework.
Peisheng Huang, Karl Hennig, Jatin Kala, Julia Andrys, and Matthew R. Hipsey
Hydrol. Earth Syst. Sci., 24, 5673–5697, https://doi.org/10.5194/hess-24-5673-2020, https://doi.org/10.5194/hess-24-5673-2020, 2020
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Our results conclude that the climate change in the past decades has a remarkable effect on the hydrology of a large shallow lagoon with the same magnitude as that caused by the opening of an artificial channel, and it also highlighted the complexity of their interactions. We suggested that the consideration of the projected drying trend is essential in designing management plans associated with planning for environmental water provision and setting water quality loading targets.
Benya Wang, Matthew R. Hipsey, and Carolyn Oldham
Geosci. Model Dev., 13, 4253–4270, https://doi.org/10.5194/gmd-13-4253-2020, https://doi.org/10.5194/gmd-13-4253-2020, 2020
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Surface water nutrients are essential to manage water quality, but it is hard to analyse trends. We developed a hybrid model and compared with other models for the prediction of six different nutrients. Our results showed that the hybrid model had significantly higher accuracy and lower prediction uncertainty for almost all nutrient species. The hybrid model provides a flexible method to combine data of varied resolution and quality and is accurate for the prediction of nutrient concentrations.
J. Nikolaus Callow, Matthew R. Hipsey, and Ryan I. J. Vogwill
Hydrol. Earth Syst. Sci., 24, 717–734, https://doi.org/10.5194/hess-24-717-2020, https://doi.org/10.5194/hess-24-717-2020, 2020
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Secondary dryland salinity is a global land degradation issue. Our understanding of causal processes is adapted from wet and hydrologically connected landscapes and concludes that low end-of-catchment runoff indicates land clearing alters water balance in favour of increased infiltration and rising groundwater that bring salts to the surface causing salinity. This study shows surface flows play an important role in causing valley floor recharge and dryland salinity in low-gradient landscapes.
Matthew R. Hipsey, Louise C. Bruce, Casper Boon, Brendan Busch, Cayelan C. Carey, David P. Hamilton, Paul C. Hanson, Jordan S. Read, Eduardo de Sousa, Michael Weber, and Luke A. Winslow
Geosci. Model Dev., 12, 473–523, https://doi.org/10.5194/gmd-12-473-2019, https://doi.org/10.5194/gmd-12-473-2019, 2019
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The General Lake Model (GLM) has been developed to undertake simulation of a diverse range of wetlands, lakes, and reservoirs. The model supports the science needs of the Global Lake Ecological Observatory Network (GLEON), a network of lake sensors and researchers attempting to understand lake functioning and address questions about how lakes around the world vary in response to climate and land use change. The paper describes the science basis and application of the model.
Murugesu Sivapalan
Hydrol. Earth Syst. Sci., 22, 1665–1693, https://doi.org/10.5194/hess-22-1665-2018, https://doi.org/10.5194/hess-22-1665-2018, 2018
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The paper presents major milestones in the transformation of hydrologic science over the last 50 years from engineering hydrology to Earth system science. This transformation has involved a transition from a focus on time (empirical) to space (Newtonian mechanics), and to time (Darwinian co-evolution). Hydrology is now well positioned to again return to a focus on space or space–time and a move towards regional process hydrology.
Mahendran Roobavannan, Tim H. M. van Emmerik, Yasmina Elshafei, Jaya Kandasamy, Matthew R. Sanderson, Saravanamuthu Vigneswaran, Saket Pande, and Murugesu Sivapalan
Hydrol. Earth Syst. Sci., 22, 1337–1349, https://doi.org/10.5194/hess-22-1337-2018, https://doi.org/10.5194/hess-22-1337-2018, 2018
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This paper reviews a relevant social science that links cultural factors to environmental decision-making and assesses how to better incorporate its insights to enhance sociohydrological (SH) models and the knowledge gaps that remain to be filled. The paper concludes with a discussion of challenges and opportunities in terms of generalization of SH models and the use of available data to facilitate future prediction and allow model transfer to ungauged basins.
Brian J. Dermody, Murugesu Sivapalan, Elke Stehfest, Detlef P. van Vuuren, Martin J. Wassen, Marc F. P. Bierkens, and Stefan C. Dekker
Earth Syst. Dynam., 9, 103–118, https://doi.org/10.5194/esd-9-103-2018, https://doi.org/10.5194/esd-9-103-2018, 2018
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Ensuring sustainable food and water security is an urgent and complex challenge. As the world becomes increasingly globalised and interdependent, food and water management policies may have unintended consequences across regions, sectors and scales. Current decision-making tools do not capture these complexities and thus miss important dynamics. We present a modelling framework to capture regional and sectoral interdependence and cross-scale feedbacks within the global food system.
Guangyao Gao, Jianjun Zhang, Yu Liu, Zheng Ning, Bojie Fu, and Murugesu Sivapalan
Hydrol. Earth Syst. Sci., 21, 4363–4378, https://doi.org/10.5194/hess-21-4363-2017, https://doi.org/10.5194/hess-21-4363-2017, 2017
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This study extracted spatio-temporal patterns in the effects of LUCC and precipitation variability on sediment yield across the Loess Plateau during 1961–2011. The impacts of precipitation on sediment yield declined with time and the precipitation-sediment relationship showed a coherent spatial pattern. The sediment coefficient, representing the effect of LUCC, decreases linearly with fraction of area treated with erosion control measures and the slopes were highly variable among the catchments.
Yoshihide Wada, Marc F. P. Bierkens, Ad de Roo, Paul A. Dirmeyer, James S. Famiglietti, Naota Hanasaki, Megan Konar, Junguo Liu, Hannes Müller Schmied, Taikan Oki, Yadu Pokhrel, Murugesu Sivapalan, Tara J. Troy, Albert I. J. M. van Dijk, Tim van Emmerik, Marjolein H. J. Van Huijgevoort, Henny A. J. Van Lanen, Charles J. Vörösmarty, Niko Wanders, and Howard Wheater
Hydrol. Earth Syst. Sci., 21, 4169–4193, https://doi.org/10.5194/hess-21-4169-2017, https://doi.org/10.5194/hess-21-4169-2017, 2017
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Rapidly increasing population and human activities have altered terrestrial water fluxes on an unprecedented scale. Awareness of potential water scarcity led to first global water resource assessments; however, few hydrological models considered the interaction between terrestrial water fluxes and human activities. Our contribution highlights the importance of human activities transforming the Earth's water cycle, and how hydrological models can include such influences in an integrated manner.
Amar V. V. Nanda, Leah Beesley, Luca Locatelli, Berry Gersonius, Matthew R. Hipsey, and Anas Ghadouani
Hydrol. Earth Syst. Sci. Discuss., https://doi.org/10.5194/hess-2017-307, https://doi.org/10.5194/hess-2017-307, 2017
Revised manuscript not accepted
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When anthropological effects result in changes to wetland hydrology; this often leads to a decline in their ecological integrity. We present a policy oriented approach that assesses the suitability of management when rigorous ecological data are lacking. We link ecological objectives from management authorities to threshold values for water depth defined in policy. Results show insufficient water levels for key ecological objectives and we conclude that current policy is ineffective.
A. M. Carmona, G. Poveda, M. Sivapalan, S. M. Vallejo-Bernal, and E. Bustamante
Hydrol. Earth Syst. Sci., 20, 589–603, https://doi.org/10.5194/hess-20-589-2016, https://doi.org/10.5194/hess-20-589-2016, 2016
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We study a 3-D generalization of Budyko's framework that captures the interdependence among actual and potential evapotranspiration and precipitation. We demonstrate that Budyko-type equations present an inconsistency in humid environments, which we overcome by proposing a physically consistent power law that incorporates the complementary relationship of evapotranspiration into the Budyko curve. Evidence of space-time symmetry and signs of co-evolution of catchments are also found in Amazonia.
D. Liu, F. Tian, M. Lin, and M. Sivapalan
Hydrol. Earth Syst. Sci., 19, 1035–1054, https://doi.org/10.5194/hess-19-1035-2015, https://doi.org/10.5194/hess-19-1035-2015, 2015
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A simplified conceptual socio-hydrological model based on logistic growth curves is developed for the Tarim River basin in western China and is used to illustrate the explanatory power of a co-evolutionary model. The socio-hydrological system is composed of four sub-systems, i.e., the hydrological, ecological, economic, and social sub-systems. The hydrological equation focusing on water balance is coupled to the evolutionary equations of the other three sub-systems.
T. H. M. van Emmerik, Z. Li, M. Sivapalan, S. Pande, J. Kandasamy, H. H. G. Savenije, A. Chanan, and S. Vigneswaran
Hydrol. Earth Syst. Sci., 18, 4239–4259, https://doi.org/10.5194/hess-18-4239-2014, https://doi.org/10.5194/hess-18-4239-2014, 2014
Z. Zhang, H. Hu, F. Tian, X. Yao, and M. Sivapalan
Hydrol. Earth Syst. Sci., 18, 3951–3967, https://doi.org/10.5194/hess-18-3951-2014, https://doi.org/10.5194/hess-18-3951-2014, 2014
S. Pande, M. Ertsen, and M. Sivapalan
Hydrol. Earth Syst. Sci., 18, 3239–3258, https://doi.org/10.5194/hess-18-3239-2014, https://doi.org/10.5194/hess-18-3239-2014, 2014
E. J. Coopersmith, B. S. Minsker, and M. Sivapalan
Hydrol. Earth Syst. Sci., 18, 3095–3107, https://doi.org/10.5194/hess-18-3095-2014, https://doi.org/10.5194/hess-18-3095-2014, 2014
Y. Li, G. Gal, V. Makler-Pick, A. M. Waite, L. C. Bruce, and M. R. Hipsey
Biogeosciences, 11, 2939–2960, https://doi.org/10.5194/bg-11-2939-2014, https://doi.org/10.5194/bg-11-2939-2014, 2014
L. C. Bruce, P. L. M. Cook, I. Teakle, and M. R. Hipsey
Hydrol. Earth Syst. Sci., 18, 1397–1411, https://doi.org/10.5194/hess-18-1397-2014, https://doi.org/10.5194/hess-18-1397-2014, 2014
Y. Liu, F. Tian, H. Hu, and M. Sivapalan
Hydrol. Earth Syst. Sci., 18, 1289–1303, https://doi.org/10.5194/hess-18-1289-2014, https://doi.org/10.5194/hess-18-1289-2014, 2014
J. Kandasamy, D. Sounthararajah, P. Sivabalan, A. Chanan, S. Vigneswaran, and M. Sivapalan
Hydrol. Earth Syst. Sci., 18, 1027–1041, https://doi.org/10.5194/hess-18-1027-2014, https://doi.org/10.5194/hess-18-1027-2014, 2014
U. Ehret, H. V. Gupta, M. Sivapalan, S. V. Weijs, S. J. Schymanski, G. Blöschl, A. N. Gelfan, C. Harman, A. Kleidon, T. A. Bogaard, D. Wang, T. Wagener, U. Scherer, E. Zehe, M. F. P. Bierkens, G. Di Baldassarre, J. Parajka, L. P. H. van Beek, A. van Griensven, M. C. Westhoff, and H. C. Winsemius
Hydrol. Earth Syst. Sci., 18, 649–671, https://doi.org/10.5194/hess-18-649-2014, https://doi.org/10.5194/hess-18-649-2014, 2014
K. A. Sawicz, C. Kelleher, T. Wagener, P. Troch, M. Sivapalan, and G. Carrillo
Hydrol. Earth Syst. Sci., 18, 273–285, https://doi.org/10.5194/hess-18-273-2014, https://doi.org/10.5194/hess-18-273-2014, 2014
S. E. Thompson, M. Sivapalan, C. J. Harman, V. Srinivasan, M. R. Hipsey, P. Reed, A. Montanari, and G. Blöschl
Hydrol. Earth Syst. Sci., 17, 5013–5039, https://doi.org/10.5194/hess-17-5013-2013, https://doi.org/10.5194/hess-17-5013-2013, 2013
M. A. Yaeger, M. Sivapalan, G. F. McIsaac, and X. Cai
Hydrol. Earth Syst. Sci., 17, 4607–4623, https://doi.org/10.5194/hess-17-4607-2013, https://doi.org/10.5194/hess-17-4607-2013, 2013
A. L. Ruibal-Conti, R. Summers, D. Weaver, and M. R. Hipsey
Hydrol. Earth Syst. Sci. Discuss., https://doi.org/10.5194/hessd-10-11035-2013, https://doi.org/10.5194/hessd-10-11035-2013, 2013
Revised manuscript not accepted
J. L. Salinas, G. Laaha, M. Rogger, J. Parajka, A. Viglione, M. Sivapalan, and G. Blöschl
Hydrol. Earth Syst. Sci., 17, 2637–2652, https://doi.org/10.5194/hess-17-2637-2013, https://doi.org/10.5194/hess-17-2637-2013, 2013
A. Viglione, J. Parajka, M. Rogger, J. L. Salinas, G. Laaha, M. Sivapalan, and G. Blöschl
Hydrol. Earth Syst. Sci., 17, 2263–2279, https://doi.org/10.5194/hess-17-2263-2013, https://doi.org/10.5194/hess-17-2263-2013, 2013
P. A. Troch, G. Carrillo, M. Sivapalan, T. Wagener, and K. Sawicz
Hydrol. Earth Syst. Sci., 17, 2209–2217, https://doi.org/10.5194/hess-17-2209-2013, https://doi.org/10.5194/hess-17-2209-2013, 2013
J. Parajka, A. Viglione, M. Rogger, J. L. Salinas, M. Sivapalan, and G. Blöschl
Hydrol. Earth Syst. Sci., 17, 1783–1795, https://doi.org/10.5194/hess-17-1783-2013, https://doi.org/10.5194/hess-17-1783-2013, 2013
H. Liu, F. Tian, H. C. Hu, H. P. Hu, and M. Sivapalan
Hydrol. Earth Syst. Sci., 17, 805–815, https://doi.org/10.5194/hess-17-805-2013, https://doi.org/10.5194/hess-17-805-2013, 2013
Related subject area
Subject: Catchment hydrology | Techniques and Approaches: Modelling approaches
Technical note: What does the Standardized Streamflow Index actually reflect? Insights and implications for hydrological drought analysis
Long short-term memory networks for enhancing real-time flood forecasts: a case study for an underperforming hydrologic model
Assessing the value of high-resolution rainfall and streamflow data for hydrological modeling: an analysis based on 63 catchments in southeast China
Catchments do not strictly follow Budyko curves over multiple decades, but deviations are minor and predictable
Scale dependency in modeling nivo-glacial hydrological systems: the case of the Arolla basin, Switzerland
Extended-range forecasting of stream water temperature with deep-learning models
Technical note: An approach for handling multiple temporal frequencies with different input dimensions using a single LSTM cell
Projections of streamflow intermittence under climate change in European drying river networks
Economic valuation of subsurface water contributions to watershed ecosystem services using a fully integrated groundwater–surface-water model
Analyzing the generalization capabilities of a hybrid hydrological model for extrapolation to extreme events
CH-RUN: a deep-learning-based spatially contiguous runoff reconstruction for Switzerland
Runoff component quantification and future streamflow projection in a large mountainous basin based on a multidata-constrained cryospheric–hydrological model
Exploring the potential processes controlling changes in precipitation–runoff relationships in non-stationary environments
A diversity-centric strategy for the selection of spatio-temporal training data for LSTM-based streamflow forecasting
Simulating the Tone River eastward diversion project in Japan carried out 4 centuries ago
Lack of robustness of hydrological models: a large-sample diagnosis and an attempt to identify hydrological and climatic drivers
Achieving water budget closure through physical hydrological process modelling: insights from a large-sample study
Heavy-tailed flood peak distributions: what is the effect of the spatial variability of rainfall and runoff generation?
State updating of the Xin'anjiang model: joint assimilating streamflow and multi-source soil moisture data via the asynchronous ensemble Kalman filter with enhanced error models
Improving the hydrological consistency of a process-based solute-transport model by simultaneous calibration of streamflow and stream concentrations
Leveraging a time-series event separation method to disentangle time-varying hydrologic controls on streamflow – application to wildfire-affected catchments
The significance of the leaf area index for evapotranspiration estimation in SWAT-T for characteristic land cover types of West Africa
Improved representation of soil moisture processes through incorporation of cosmic-ray neutron count measurements in a large-scale hydrologic model
Spatio-temporal patterns and trends of streamflow in water-scarce Mediterranean basins
A large-sample modelling approach towards integrating streamflow and evaporation data for the Spanish catchments
Seasonal variation in land cover estimates reveals sensitivities and opportunities for environmental models
Estimating response times, flow velocities, and roughness coefficients of Canadian Prairie basins
Learning landscape features from streamflow with autoencoders
Hydrological regime index for non-perennial rivers
On the use of streamflow transformations for hydrological model calibration
Simulation-based inference for parameter estimation of complex watershed simulators
Multi-scale soil moisture data and process-based modeling reveal the importance of lateral groundwater flow in a subarctic catchment
CONCN: A high-resolution, integrated surface water-groundwater ParFlow modeling platform of continental China
Catchment response to climatic variability: implications for root zone storage and streamflow predictions
Assesing the Value of High-Resolution Data and Parameters Transferability Across Temporal Scales in Hydrological Modeling: A Case Study in Northern China
Hybrid hydrological modeling for large alpine basins: a semi-distributed approach
Technical note: How many models do we need to simulate hydrologic processes across large geographical domains?
Karst aquifer discharge response to rainfall interpreted as anomalous transport
HESS Opinions: Never train a Long Short-Term Memory (LSTM) network on a single basin
Large-sample hydrology – a few camels or a whole caravan?
Comment on “Are soils overrated in hydrology?” by Gao et al. (2023)
Multi-decadal fluctuations in root zone storage capacity through vegetation adaptation to hydro-climatic variability have minor effects on the hydrological response in the Neckar River basin, Germany
Projected future changes in the cryosphere and hydrology of a mountainous catchment in the upper Heihe River, China
On the importance of plant phenology in the evaporative process of a semi-arid woodland: could it be why satellite-based evaporation estimates in the miombo differ?
Assessing the adequacy of traditional hydrological models for climate change impact studies: A case for long-short-term memory (LSTM) neural networks
Regionalization of GR4J model parameters for river flow prediction in Paraná, Brazil
Evolution of river regimes in the Mekong River basin over 8 decades and the role of dams in recent hydrological extremes
Skill of seasonal flow forecasts at catchment scale: an assessment across South Korea
To what extent do flood-inducing storm events change future flood hazards?
When ancient numerical demons meet physics-informed machine learning: adjoint-based gradients for implicit differentiable modeling
Fabián Lema, Pablo A. Mendoza, Nicolás A. Vásquez, Naoki Mizukami, Mauricio Zambrano-Bigiarini, and Ximena Vargas
Hydrol. Earth Syst. Sci., 29, 1981–2002, https://doi.org/10.5194/hess-29-1981-2025, https://doi.org/10.5194/hess-29-1981-2025, 2025
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Hydrological droughts affect ecosystems and socioeconomic activities worldwide. Despite the fact that they are commonly described with the Standardized Streamflow Index (SSI), there is limited understanding of what they truly reflect in terms of water cycle processes. Here, we used state-of-the-art hydrological models in Andean basins to examine drivers of SSI fluctuations. The results highlight the importance of careful selection of indices and timescales for accurate drought characterization and monitoring.
Sebastian Gegenleithner, Manuel Pirker, Clemens Dorfmann, Roman Kern, and Josef Schneider
Hydrol. Earth Syst. Sci., 29, 1939–1962, https://doi.org/10.5194/hess-29-1939-2025, https://doi.org/10.5194/hess-29-1939-2025, 2025
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Accurate early-warning systems are crucial for reducing the damage caused by flooding events. In this study, we explored the potential of long short-term memory networks for enhancing the forecast accuracy of hydrologic models employed in operational flood forecasting. The presented approach elevated the investigated hydrologic model’s forecast accuracy for further ahead predictions and at flood event runoff.
Mahmut Tudaji, Yi Nan, and Fuqiang Tian
Hydrol. Earth Syst. Sci., 29, 1919–1937, https://doi.org/10.5194/hess-29-1919-2025, https://doi.org/10.5194/hess-29-1919-2025, 2025
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Common intuition holds that higher input data resolution leads to better results. To assess the benefits of high-resolution data, we conduct simulation experiments using data with various temporal resolutions across multiple catchments and find that higher-resolution data do not always improve model performance, challenging the necessity of pursuing such data. In catchments with small areas or significant flow variability, high-resolution data is more valuable.
Muhammad Ibrahim, Miriam Coenders-Gerrits, Ruud van der Ent, and Markus Hrachowitz
Hydrol. Earth Syst. Sci., 29, 1703–1723, https://doi.org/10.5194/hess-29-1703-2025, https://doi.org/10.5194/hess-29-1703-2025, 2025
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The quantification of precipitation into evaporation and runoff is vital for water resources management. The Budyko framework, based on aridity and evaporative indices of a catchment, can be an ideal tool for that. However, recent research highlights deviations of catchments from the expected evaporative index, casting doubt on its reliability. This study quantifies deviations of 2387 catchments, finding them minor and predictable. Integrating these into predictions upholds the framework's efficacy.
Anne-Laure Argentin, Pascal Horton, Bettina Schaefli, Jamal Shokory, Felix Pitscheider, Leona Repnik, Mattia Gianini, Simone Bizzi, Stuart N. Lane, and Francesco Comiti
Hydrol. Earth Syst. Sci., 29, 1725–1748, https://doi.org/10.5194/hess-29-1725-2025, https://doi.org/10.5194/hess-29-1725-2025, 2025
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In this article, we show that by taking the optimal parameters calibrated with a semi-lumped model for the discharge at a catchment's outlet, we can accurately simulate runoff at various points within the study area, including three nested and three neighboring catchments. In addition, we demonstrate that employing more intricate melt models, which better represent physical processes, enhances the transfer of parameters in the simulation, until we observe overparameterization.
Ryan S. Padrón, Massimiliano Zappa, Luzi Bernhard, and Konrad Bogner
Hydrol. Earth Syst. Sci., 29, 1685–1702, https://doi.org/10.5194/hess-29-1685-2025, https://doi.org/10.5194/hess-29-1685-2025, 2025
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We generate operational forecasts of daily maximum stream water temperature for 32 consecutive days at 54 stations in Switzerland with our best-performing data-driven model. The average forecast error is 0.38 °C for 1 d ahead and increases to 0.90 °C for 32 d ahead given the uncertainty in the meteorological variables influencing water temperature. Here we compare the skill of several models, how well they can forecast at new and ungauged stations, and the importance of different model inputs.
Eduardo Acuña Espinoza, Frederik Kratzert, Daniel Klotz, Martin Gauch, Manuel Álvarez Chaves, Ralf Loritz, and Uwe Ehret
Hydrol. Earth Syst. Sci., 29, 1749–1758, https://doi.org/10.5194/hess-29-1749-2025, https://doi.org/10.5194/hess-29-1749-2025, 2025
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Long short-term memory (LSTM) networks have demonstrated state-of-the-art performance for rainfall-runoff hydrological modelling. However, most studies focus on predictions at a daily scale, limiting the benefits of sub-daily (e.g. hourly) predictions in applications like flood forecasting. In this study, we introduce a new architecture, multi-frequency LSTM (MF-LSTM), designed to use inputs of various temporal frequencies to produce sub-daily (e.g. hourly) predictions at a moderate computational cost.
Louise Mimeau, Annika Künne, Alexandre Devers, Flora Branger, Sven Kralisch, Claire Lauvernet, Jean-Philippe Vidal, Núria Bonada, Zoltán Csabai, Heikki Mykrä, Petr Pařil, Luka Polović, and Thibault Datry
Hydrol. Earth Syst. Sci., 29, 1615–1636, https://doi.org/10.5194/hess-29-1615-2025, https://doi.org/10.5194/hess-29-1615-2025, 2025
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Our study projects how climate change will affect the drying of river segments and stream networks in Europe, using advanced modelling techniques to assess changes in six river networks across diverse ecoregions. We found that drying events will become more frequent and intense and will start earlier or last longer, potentially turning some river sections from perennial to intermittent. The results are valuable for river ecologists for evaluating the ecological health of river ecosystem.
Tariq Aziz, Steven K. Frey, David R. Lapen, Susan Preston, Hazen A. J. Russell, Omar Khader, Andre R. Erler, and Edward A. Sudicky
Hydrol. Earth Syst. Sci., 29, 1549–1568, https://doi.org/10.5194/hess-29-1549-2025, https://doi.org/10.5194/hess-29-1549-2025, 2025
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This study determines the value of subsurface water for ecosystem services' supply in an agricultural watershed in Ontario, Canada. Using a fully integrated water model and an economic valuation approach, the research highlights subsurface water's critical role in maintaining watershed ecosystem services. The study informs on the sustainable use of subsurface water and introduces a new method for managing watershed ecosystem services.
Eduardo Acuña Espinoza, Ralf Loritz, Frederik Kratzert, Daniel Klotz, Martin Gauch, Manuel Álvarez Chaves, and Uwe Ehret
Hydrol. Earth Syst. Sci., 29, 1277–1294, https://doi.org/10.5194/hess-29-1277-2025, https://doi.org/10.5194/hess-29-1277-2025, 2025
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Data-driven techniques have shown the potential to outperform process-based models in rainfall–runoff simulations. Hybrid models, combining both approaches, aim to enhance accuracy and maintain interpretability. Expanding the set of test cases to evaluate hybrid models under different conditions, we test their generalization capabilities for extreme hydrological events.
Basil Kraft, Michael Schirmer, William H. Aeberhard, Massimiliano Zappa, Sonia I. Seneviratne, and Lukas Gudmundsson
Hydrol. Earth Syst. Sci., 29, 1061–1082, https://doi.org/10.5194/hess-29-1061-2025, https://doi.org/10.5194/hess-29-1061-2025, 2025
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This study reconstructs daily runoff in Switzerland (1962–2023) using a deep-learning model, providing a spatially contiguous dataset on a medium-sized catchment grid. The model outperforms traditional hydrological methods, revealing shifts in Swiss water resources, including more frequent dry years and declining summer runoff. The reconstruction is publicly available.
Mengjiao Zhang, Yi Nan, and Fuqiang Tian
Hydrol. Earth Syst. Sci., 29, 1033–1060, https://doi.org/10.5194/hess-29-1033-2025, https://doi.org/10.5194/hess-29-1033-2025, 2025
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Owing to differences in the existing published results, we conducted a detailed analysis of the runoff components and future trends in the Yarlung Tsangpo River basin and found that the contributions of snowmelt and glacier melt runoff to streamflow (both ~5 %) are limited and much lower than previous results. The streamflow in this area will continuously increase in the future, but the overestimated contribution of glacier melt could lead to an underestimation of this increasing trend.
Tian Lan, Tongfang Li, Hongbo Zhang, Jiefeng Wu, Yongqin David Chen, and Chong-Yu Xu
Hydrol. Earth Syst. Sci., 29, 903–924, https://doi.org/10.5194/hess-29-903-2025, https://doi.org/10.5194/hess-29-903-2025, 2025
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This study develops an integrated framework based on the novel Driving index for changes in Precipitation–Runoff Relationships (DPRR) to explore the controlling changes in precipitation–runoff relationships in non-stationary environments. According to the quantitative results of the candidate driving factors, the possible process explanations for changes in the precipitation–runoff relationships are deduced. The main contribution offers a comprehensive understanding of hydrological processes.
Everett Snieder and Usman T. Khan
Hydrol. Earth Syst. Sci., 29, 785–798, https://doi.org/10.5194/hess-29-785-2025, https://doi.org/10.5194/hess-29-785-2025, 2025
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Improving the accuracy of flood forecasts is paramount to minimising flood damage. Machine learning (ML) models are increasingly being applied for flood forecasting. Such models are typically trained on large historic hydrometeorological datasets. In this work, we evaluate methods for selecting training datasets that maximise the spatio-temporal diversity of the represented hydrological processes. Empirical results showcase the importance of hydrological diversity in training ML models.
Joško Trošelj and Naota Hanasaki
Hydrol. Earth Syst. Sci., 29, 753–766, https://doi.org/10.5194/hess-29-753-2025, https://doi.org/10.5194/hess-29-753-2025, 2025
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This study presents the first distributed hydrological simulation which confirms claims raised by historians that the eastward diversion project of the Tone River in Japan was conducted 4 centuries ago to increase low flows and subsequent travelling possibilities surrounding the capital, Edo (Tokyo), using inland navigation. We showed that great steps forward can be made for improving quality of life with small human engineering waterworks and small interventions in the regime of natural flows.
Léonard Santos, Vazken Andréassian, Torben O. Sonnenborg, Göran Lindström, Alban de Lavenne, Charles Perrin, Lila Collet, and Guillaume Thirel
Hydrol. Earth Syst. Sci., 29, 683–700, https://doi.org/10.5194/hess-29-683-2025, https://doi.org/10.5194/hess-29-683-2025, 2025
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This work investigates how hydrological models are transferred to a period in which climate conditions are different to the ones of the period in which they were set up. The robustness assessment test built to detect dependencies between model error and climatic drivers was applied to three hydrological models in 352 catchments in Denmark, France and Sweden. Potential issues are seen in a significant number of catchments for the models, even though the catchments differ for each model.
Xudong Zheng, Dengfeng Liu, Shengzhi Huang, Hao Wang, and Xianmeng Meng
Hydrol. Earth Syst. Sci., 29, 627–653, https://doi.org/10.5194/hess-29-627-2025, https://doi.org/10.5194/hess-29-627-2025, 2025
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Water budget non-closure is a widespread phenomenon among multisource datasets which undermines the robustness of hydrological inferences. This study proposes a Multisource Dataset Correction Framework grounded in Physical Hydrological Process Modelling to enhance water budget closure, termed PHPM-MDCF. We examined the efficiency and robustness of the framework using the CAMELS dataset and achieved an average reduction of 49 % in total water budget residuals across 475 CONUS basins.
Elena Macdonald, Bruno Merz, Viet Dung Nguyen, and Sergiy Vorogushyn
Hydrol. Earth Syst. Sci., 29, 447–463, https://doi.org/10.5194/hess-29-447-2025, https://doi.org/10.5194/hess-29-447-2025, 2025
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Flood peak distributions indicate how likely the occurrence of an extreme flood is at a certain river. If the distribution has a so-called heavy tail, extreme floods are more likely than might be anticipated. We find heavier tails in small catchments compared to large catchments, and spatially variable rainfall leads to a lower occurrence probability of extreme floods. Spatially variable runoff does not show effects. The results can improve estimations of probabilities of extreme floods.
Junfu Gong, Xingwen Liu, Cheng Yao, Zhijia Li, Albrecht H. Weerts, Qiaoling Li, Satish Bastola, Yingchun Huang, and Junzeng Xu
Hydrol. Earth Syst. Sci., 29, 335–360, https://doi.org/10.5194/hess-29-335-2025, https://doi.org/10.5194/hess-29-335-2025, 2025
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Our study introduces a new method to improve flood forecasting by combining soil moisture and streamflow data using an advanced data assimilation technique. By integrating field and reanalysis soil moisture data and assimilating this with streamflow measurements, we aim to enhance the accuracy of flood predictions. This approach reduces the accumulation of past errors in the initial conditions at the start of the forecast, helping to better prepare for and respond to floods.
Jordy Salmon-Monviola, Ophélie Fovet, and Markus Hrachowitz
Hydrol. Earth Syst. Sci., 29, 127–158, https://doi.org/10.5194/hess-29-127-2025, https://doi.org/10.5194/hess-29-127-2025, 2025
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To increase the predictive power of hydrological models, it is necessary to improve their consistency, i.e. their physical realism, which is measured by the ability of the model to reproduce observed system dynamics. Using a model to represent the dynamics of water and nitrate and dissolved organic carbon concentrations in an agricultural catchment, we showed that using solute-concentration data for calibration is useful to improve the hydrological consistency of the model.
Haley A. Canham, Belize Lane, Colin B. Phillips, and Brendan P. Murphy
Hydrol. Earth Syst. Sci., 29, 27–43, https://doi.org/10.5194/hess-29-27-2025, https://doi.org/10.5194/hess-29-27-2025, 2025
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The influence of watershed disturbances has proved challenging to disentangle from natural streamflow variability. This study evaluates the influence of time-varying hydrologic controls on rainfall–runoff in undisturbed and wildfire-disturbed watersheds using a novel time-series event separation method. Across watersheds, water year type and season influenced rainfall–runoff patterns. Accounting for these controls enabled clearer isolation of wildfire effects.
Fabian Merk, Timo Schaffhauser, Faizan Anwar, Ye Tuo, Jean-Martial Cohard, and Markus Disse
Hydrol. Earth Syst. Sci., 28, 5511–5539, https://doi.org/10.5194/hess-28-5511-2024, https://doi.org/10.5194/hess-28-5511-2024, 2024
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Evapotranspiration (ET) is computed from the vegetation (plant transpiration) and soil (soil evaporation). In western Africa, plant transpiration correlates with vegetation growth. Vegetation is often represented using the leaf area index (LAI). In this study, we evaluate the importance of the LAI for ET calculation. We take a close look at this interaction and highlight its relevance. Our work contributes to the understanding of terrestrial water cycle processes .
Eshrat Fatima, Rohini Kumar, Sabine Attinger, Maren Kaluza, Oldrich Rakovec, Corinna Rebmann, Rafael Rosolem, Sascha E. Oswald, Luis Samaniego, Steffen Zacharias, and Martin Schrön
Hydrol. Earth Syst. Sci., 28, 5419–5441, https://doi.org/10.5194/hess-28-5419-2024, https://doi.org/10.5194/hess-28-5419-2024, 2024
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This study establishes a framework to incorporate cosmic-ray neutron measurements into the mesoscale Hydrological Model (mHM). We evaluate different approaches to estimate neutron counts within the mHM using the Desilets equation, with uniformly and non-uniformly weighted average soil moisture, and the physically based code COSMIC. The data improved not only soil moisture simulations but also the parameterisation of evapotranspiration in the model.
Laia Estrada, Xavier Garcia, Joan Saló-Grau, Rafael Marcé, Antoni Munné, and Vicenç Acuña
Hydrol. Earth Syst. Sci., 28, 5353–5373, https://doi.org/10.5194/hess-28-5353-2024, https://doi.org/10.5194/hess-28-5353-2024, 2024
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Hydrological modelling is a powerful tool to support decision-making. We assessed spatio-temporal patterns and trends of streamflow for 2001–2022 with a hydrological model, integrating stakeholder expert knowledge on management operations. The results provide insight into how climate change and anthropogenic pressures affect water resources availability in regions vulnerable to water scarcity, thus raising the need for sustainable management practices and integrated hydrological modelling.
Patricio Yeste, Matilde García-Valdecasas Ojeda, Sonia R. Gámiz-Fortis, Yolanda Castro-Díez, Axel Bronstert, and María Jesús Esteban-Parra
Hydrol. Earth Syst. Sci., 28, 5331–5352, https://doi.org/10.5194/hess-28-5331-2024, https://doi.org/10.5194/hess-28-5331-2024, 2024
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Integrating streamflow and evaporation data can help improve the physical realism of hydrologic models. We investigate the capabilities of the Variable Infiltration Capacity (VIC) to reproduce both hydrologic variables for 189 headwater located in Spain. Results from sensitivity analyses indicate that adding two vegetation parameters is enough to improve the representation of evaporation and that the performance of VIC exceeded that of the largest modelling effort currently available in Spain.
Daniel T. Myers, David Jones, Diana Oviedo-Vargas, John Paul Schmit, Darren L. Ficklin, and Xuesong Zhang
Hydrol. Earth Syst. Sci., 28, 5295–5310, https://doi.org/10.5194/hess-28-5295-2024, https://doi.org/10.5194/hess-28-5295-2024, 2024
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We studied how streamflow and water quality models respond to land cover data collected by satellites during the growing season versus the non-growing season. The land cover data showed more trees during the growing season and more built areas during the non-growing season. We next found that the use of non-growing season data resulted in a higher modeled nutrient export to streams. Knowledge of these sensitivities would be particularly important when models inform water resource management.
Kevin R. Shook, Paul H. Whitfield, Christopher Spence, and John W. Pomeroy
Hydrol. Earth Syst. Sci., 28, 5173–5192, https://doi.org/10.5194/hess-28-5173-2024, https://doi.org/10.5194/hess-28-5173-2024, 2024
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Recent studies suggest that the velocities of water running off landscapes in the Canadian Prairies may be much smaller than generally assumed. Analyses of historical flows for 23 basins in central Alberta show that many of the rivers responded more slowly and that the flows are much slower than would be estimated from equations developed elsewhere. The effects of slow flow velocities on the development of hydrological models of the region are discussed, as are the possible causes.
Alberto Bassi, Marvin Höge, Antonietta Mira, Fabrizio Fenicia, and Carlo Albert
Hydrol. Earth Syst. Sci., 28, 4971–4988, https://doi.org/10.5194/hess-28-4971-2024, https://doi.org/10.5194/hess-28-4971-2024, 2024
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The goal is to remove the impact of meteorological drivers in order to uncover the unique landscape fingerprints of a catchment from streamflow data. Our results reveal an optimal two-feature summary for most catchments, with a third feature associated with aridity and intermittent flow that is needed for challenging cases. Baseflow index, aridity, and soil or vegetation attributes strongly correlate with learnt features, indicating their importance for streamflow prediction.
Pablo Fernando Dornes and Rocío Noelia Comas
Hydrol. Earth Syst. Sci. Discuss., https://doi.org/10.5194/hess-2024-338, https://doi.org/10.5194/hess-2024-338, 2024
Revised manuscript accepted for HESS
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The Desaguadero-Salado-Chadiluevú-Curacó (DSCC) River is a semiarid river which is severely dammed in its tributaries which collect the snowmelt runoff. This runoff feeds mostly gravitational irrigation systems of very low efficiency. As a result, the DSCC River does not have natural runoff. The proposed Hydrological Regime Index (HRI) is able to discriminate and quantify regime alterations under permanent and non-permanent flow conditions and with low and high impoundment conditions.
Guillaume Thirel, Léonard Santos, Olivier Delaigue, and Charles Perrin
Hydrol. Earth Syst. Sci., 28, 4837–4860, https://doi.org/10.5194/hess-28-4837-2024, https://doi.org/10.5194/hess-28-4837-2024, 2024
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We discuss how mathematical transformations impact calibrated hydrological model simulations. We assess how 11 transformations behave over the complete range of streamflows. Extreme transformations lead to models that are specialized for extreme streamflows but show poor performance outside the range of targeted streamflows and are less robust. We show that no a priori assumption about transformations can be taken as warranted.
Robert Hull, Elena Leonarduzzi, Luis De La Fuente, Hoang Viet Tran, Andrew Bennett, Peter Melchior, Reed M. Maxwell, and Laura E. Condon
Hydrol. Earth Syst. Sci., 28, 4685–4713, https://doi.org/10.5194/hess-28-4685-2024, https://doi.org/10.5194/hess-28-4685-2024, 2024
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Large-scale hydrologic simulators are a needed tool to explore complex watershed processes and how they may evolve with a changing climate. However, calibrating them can be difficult because they are costly to run and have many unknown parameters. We implement a state-of-the-art approach to model calibration using neural networks with a set of experiments based on streamflow in the upper Colorado River basin.
Jari-Pekka Nousu, Kersti Leppä, Hannu Marttila, Pertti Ala-aho, Giulia Mazzotti, Terhikki Manninen, Mika Korkiakoski, Mika Aurela, Annalea Lohila, and Samuli Launiainen
Hydrol. Earth Syst. Sci., 28, 4643–4666, https://doi.org/10.5194/hess-28-4643-2024, https://doi.org/10.5194/hess-28-4643-2024, 2024
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We used hydrological models, field measurements, and satellite-based data to study the soil moisture dynamics in a subarctic catchment. The role of groundwater was studied with different ways to model the groundwater dynamics and via comparisons to the observational data. The choice of groundwater model was shown to have a strong impact, and representation of lateral flow was important to capture wet soil conditions. Our results provide insights for ecohydrological studies in boreal regions.
Chen Yang, Zitong Jia, Wenjie Xu, Zhongwang Wei, Xiaolang Zhang, Yiguang Zou, Jeffrey McDonnell, Laura Condon, Yongjiu Dai, and Reed Maxwell
Hydrol. Earth Syst. Sci. Discuss., https://doi.org/10.5194/hess-2024-292, https://doi.org/10.5194/hess-2024-292, 2024
Revised manuscript accepted for HESS
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We developed the first high-resolution, integrated surface water-groundwater hydrologic model of the entire continental China using ParFlow. The model shows good performance of streamflow and water table depth when compared to global data products and observations. It is essential for water resources management and decision making in China within a consistent framework in the changing world. It also has significant implications for similar modeling in other places in the world.
Nienke Tempel, Laurène Bouaziz, Riccardo Taormina, Ellis van Noppen, Jasper Stam, Eric Sprokkereef, and Markus Hrachowitz
Hydrol. Earth Syst. Sci., 28, 4577–4597, https://doi.org/10.5194/hess-28-4577-2024, https://doi.org/10.5194/hess-28-4577-2024, 2024
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This study explores the impact of climatic variability on root zone water storage capacities and, thus, on hydrological predictions. Analysing data from 286 areas in Europe and the US, we found that, despite some variations in root zone storage capacity due to changing climatic conditions over multiple decades, these changes are generally minor and have a limited effect on water storage and river flow predictions.
Mahmut Tudaji, Yi Nan, and Fuqiang Tian
EGUsphere, https://doi.org/10.5194/egusphere-2024-2966, https://doi.org/10.5194/egusphere-2024-2966, 2024
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We assessed the value of high-resolution data and parameters transferability across temporal scales based on 7 catchments in northern China. We found that higher resolution data does not always improve model performance, questioning the need for such data; Model parameters are transferable across different data resolutions, but not across computational time steps. It is recommended to utilize smaller computational time step when building hydrological models even without high-resolution data.
Bu Li, Ting Sun, Fuqiang Tian, Mahmut Tudaji, Li Qin, and Guangheng Ni
Hydrol. Earth Syst. Sci., 28, 4521–4538, https://doi.org/10.5194/hess-28-4521-2024, https://doi.org/10.5194/hess-28-4521-2024, 2024
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This paper developed hybrid semi-distributed hydrological models by employing a process-based model as the backbone and utilizing deep learning to parameterize and replace internal modules. The main contribution is to provide a high-performance tool enriched with explicit hydrological knowledge for hydrological prediction and to improve understanding about the hydrological sensitivities to climate change in large alpine basins.
Wouter J. M. Knoben, Ashwin Raman, Gaby J. Gründemann, Mukesh Kumar, Alain Pietroniro, Chaopeng Shen, Yalan Song, Cyril Thébault, Katie van Werkhoven, Andrew W. Wood, and Martyn P. Clark
Hydrol. Earth Syst. Sci. Discuss., https://doi.org/10.5194/hess-2024-279, https://doi.org/10.5194/hess-2024-279, 2024
Revised manuscript accepted for HESS
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Hydrologic models are needed to provide simulations of water availability, floods and droughts. The accuracy of these simulations is often quantified with so-called performance scores. A common thought is that different models are more or less applicable to different landscapes, depending on how the model works. We show that performance scores are not helpful in distinguishing between different models, and thus cannot easily be used to select an appropriate model for a specific place.
Dan Elhanati, Nadine Goeppert, and Brian Berkowitz
Hydrol. Earth Syst. Sci., 28, 4239–4249, https://doi.org/10.5194/hess-28-4239-2024, https://doi.org/10.5194/hess-28-4239-2024, 2024
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A continuous time random walk framework was developed to allow modeling of a karst aquifer discharge response to measured rainfall. The application of the numerical model yielded robust fits between modeled and measured discharge values, especially for the distinctive long tails found during recession times. The findings shed light on the interplay of slow and fast flow in the karst system and establish the application of the model for simulating flow and transport in such systems.
Frederik Kratzert, Martin Gauch, Daniel Klotz, and Grey Nearing
Hydrol. Earth Syst. Sci., 28, 4187–4201, https://doi.org/10.5194/hess-28-4187-2024, https://doi.org/10.5194/hess-28-4187-2024, 2024
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Recently, a special type of neural-network architecture became increasingly popular in hydrology literature. However, in most applications, this model was applied as a one-to-one replacement for hydrology models without adapting or rethinking the experimental setup. In this opinion paper, we show how this is almost always a bad decision and how using these kinds of models requires the use of large-sample hydrology data sets.
Franziska Clerc-Schwarzenbach, Giovanni Selleri, Mattia Neri, Elena Toth, Ilja van Meerveld, and Jan Seibert
Hydrol. Earth Syst. Sci., 28, 4219–4237, https://doi.org/10.5194/hess-28-4219-2024, https://doi.org/10.5194/hess-28-4219-2024, 2024
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We show that the differences between the forcing data included in three CAMELS datasets (US, BR, GB) and the forcing data included for the same catchments in the Caravan dataset affect model calibration considerably. The model performance dropped when the data from the Caravan dataset were used instead of the original data. Most of the model performance drop could be attributed to the differences in precipitation data. However, differences were largest for the potential evapotranspiration data.
Ying Zhao, Mehdi Rahmati, Harry Vereecken, and Dani Or
Hydrol. Earth Syst. Sci., 28, 4059–4063, https://doi.org/10.5194/hess-28-4059-2024, https://doi.org/10.5194/hess-28-4059-2024, 2024
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Gao et al. (2023) question the importance of soil in hydrology, sparking debate. We acknowledge some valid points but critique their broad, unsubstantiated views on soil's role. Our response highlights three key areas: (1) the false divide between ecosystem-centric and soil-centric approaches, (2) the vital yet varied impact of soil properties, and (3) the call for a scale-aware framework. We aim to unify these perspectives, enhancing hydrology's comprehensive understanding.
Siyuan Wang, Markus Hrachowitz, and Gerrit Schoups
Hydrol. Earth Syst. Sci., 28, 4011–4033, https://doi.org/10.5194/hess-28-4011-2024, https://doi.org/10.5194/hess-28-4011-2024, 2024
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Root zone storage capacity (Sumax) changes significantly over multiple decades, reflecting vegetation adaptation to climatic variability. However, this temporal evolution of Sumax cannot explain long-term fluctuations in the partitioning of water fluxes as expressed by deviations ΔIE from the parametric Budyko curve over time with different climatic conditions, and it does not have any significant effects on shorter-term hydrological response characteristics of the upper Neckar catchment.
Zehua Chang, Hongkai Gao, Leilei Yong, Kang Wang, Rensheng Chen, Chuntan Han, Otgonbayar Demberel, Batsuren Dorjsuren, Shugui Hou, and Zheng Duan
Hydrol. Earth Syst. Sci., 28, 3897–3917, https://doi.org/10.5194/hess-28-3897-2024, https://doi.org/10.5194/hess-28-3897-2024, 2024
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An integrated cryospheric–hydrologic model, FLEX-Cryo, was developed that considers glaciers, snow cover, and frozen soil and their dynamic impacts on hydrology. We utilized it to simulate future changes in cryosphere and hydrology in the Hulu catchment. Our projections showed the two glaciers will melt completely around 2050, snow cover will reduce, and permafrost will degrade. For hydrology, runoff will decrease after the glacier has melted, and permafrost degradation will increase baseflow.
Henry M. Zimba, Miriam Coenders-Gerrits, Kawawa E. Banda, Petra Hulsman, Nick van de Giesen, Imasiku A. Nyambe, and Hubert H. G. Savenije
Hydrol. Earth Syst. Sci., 28, 3633–3663, https://doi.org/10.5194/hess-28-3633-2024, https://doi.org/10.5194/hess-28-3633-2024, 2024
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The fall and flushing of new leaves in the miombo woodlands co-occur in the dry season before the commencement of seasonal rainfall. The miombo species are also said to have access to soil moisture in deep soils, including groundwater in the dry season. Satellite-based evaporation estimates, temporal trends, and magnitudes differ the most in the dry season, most likely due to inadequate understanding and representation of the highlighted miombo species attributes in simulations.
Jean-Luc Martel, François Brissette, Richard Arsenault, Richard Turcotte, Mariana Castañeda-Gonzalez, William Armstrong, Edouard Mailhot, Jasmine Pelletier-Dumont, Gabriel Rondeau-Genesse, and Louis-Philippe Caron
EGUsphere, https://doi.org/10.5194/egusphere-2024-2133, https://doi.org/10.5194/egusphere-2024-2133, 2024
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This study compares Long Short-Term Memory (LSTM) neural networks with traditional hydrological models to predict future streamflow under climate change. Using data from 148 catchments, it finds that LSTM models, which learn from extensive data sequences, perform differently and often better than traditional hydrolgical models. The continental LSTM model, which includes data from diverse climate zones, is particularly effective for understanding climate impacts on water resources.
Louise Akemi Kuana, Arlan Scortegagna Almeida, Emílio Graciliano Ferreira Mercuri, and Steffen Manfred Noe
Hydrol. Earth Syst. Sci., 28, 3367–3390, https://doi.org/10.5194/hess-28-3367-2024, https://doi.org/10.5194/hess-28-3367-2024, 2024
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The authors compared regionalization methods for river flow prediction in 126 catchments from the south of Brazil, a region with humid subtropical and hot temperate climate. The regionalization method based on physiographic–climatic similarity had the best performance for predicting daily and Q95 reference flow. We showed that basins without flow monitoring can have a good approximation of streamflow using machine learning and physiographic–climatic information as inputs.
Huy Dang and Yadu Pokhrel
Hydrol. Earth Syst. Sci., 28, 3347–3365, https://doi.org/10.5194/hess-28-3347-2024, https://doi.org/10.5194/hess-28-3347-2024, 2024
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By examining basin-wide simulations of a river regime over 83 years with and without dams, we present evidence that climate variation was a key driver of hydrologic variabilities in the Mekong River basin (MRB) over the long term; however, dams have largely altered the seasonality of the Mekong’s flow regime and annual flooding patterns in major downstream areas in recent years. These findings could help us rethink the planning of future dams and water resource management in the MRB.
Yongshin Lee, Francesca Pianosi, Andres Peñuela, and Miguel Angel Rico-Ramirez
Hydrol. Earth Syst. Sci., 28, 3261–3279, https://doi.org/10.5194/hess-28-3261-2024, https://doi.org/10.5194/hess-28-3261-2024, 2024
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Following recent advancements in weather prediction technology, we explored how seasonal weather forecasts (1 or more months ahead) could benefit practical water management in South Korea. Our findings highlight that using seasonal weather forecasts for predicting flow patterns 1 to 3 months ahead is effective, especially during dry years. This suggest that seasonal weather forecasts can be helpful in improving the management of water resources.
Mariam Khanam, Giulia Sofia, and Emmanouil N. Anagnostou
Hydrol. Earth Syst. Sci., 28, 3161–3190, https://doi.org/10.5194/hess-28-3161-2024, https://doi.org/10.5194/hess-28-3161-2024, 2024
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Flooding worsens due to climate change, with river dynamics being a key in local flood control. Predicting post-storm geomorphic changes is challenging. Using self-organizing maps and machine learning, this study forecasts post-storm alterations in stage–discharge relationships across 3101 US stream gages. The provided framework can aid in updating hazard assessments by identifying rivers prone to change, integrating channel adjustments into flood hazard assessment.
Yalan Song, Wouter J. M. Knoben, Martyn P. Clark, Dapeng Feng, Kathryn Lawson, Kamlesh Sawadekar, and Chaopeng Shen
Hydrol. Earth Syst. Sci., 28, 3051–3077, https://doi.org/10.5194/hess-28-3051-2024, https://doi.org/10.5194/hess-28-3051-2024, 2024
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Differentiable models (DMs) integrate neural networks and physical equations for accuracy, interpretability, and knowledge discovery. We developed an adjoint-based DM for ordinary differential equations (ODEs) for hydrological modeling, reducing distorted fluxes and physical parameters from errors in models that use explicit and operation-splitting schemes. With a better numerical scheme and improved structure, the adjoint-based DM matches or surpasses long short-term memory (LSTM) performance.
Cited articles
Adger, W. N.: Social and ecological resilience: are they related?, Prog. Hum. Geog., 24, 347–364, 2000.
Ajzen, I.: From intentions to actions: A theory of planned behavior, in: Action control: from cognition to behaviour, edited by: Kuhl, J. and Backmann, J., Springer, Berlin, 11–39, 1985.
Allan, J. A.: Policy responses to the closure of water resources: Regional and global issues, in: Water policy: Allocation and management in practice, edited by: Howsam, P. and Carter, R. C., CRC Press, London, UK, 228–234, 1996.
Allison, H. E. and Hobbs, R. J.: Resilience, adaptive capacity, and the "lock-in trap" of the Western Australian agricultural region, Ecol. Soc., 9, 3–28, 2004.
Amundsen, H.: Illusions of Resilience? An Analysis of Community Responses to Change in Northern Norway, Ecol. Soc., 17, 46–59, 2012.
Anderies, J. M. and Janssen, M. A.: The fragility of robust social-ecological systems, Global Environ. Chang., 21, 1153–1156, 2011.
Anderies, J. M., Janssen, M. A., and Ostrom, E.: A Framework to Analyze the Robustness of Social-ecological Systems from an Institutional Perspective, Ecol. Soc., 9, 18–34, 2004.
Anderies, J. M., Ryan, P., and Walker, B. H.: Loss of resilience, crisis, and institutional change: Lessons from an intensive agricultural system in southeastern Australia, Ecosystems, 9, 865–878, 2006a.
Anderies, J. M., Walker, B. H., and Kinzig, A. P.: Fifteen weddings and a funeral: Case studies and resilience-based management, Ecol. Soc., 11, 21–32, 2006b.
Anderies, J. M., Janssen, M. A., Lee, A., and Wasserman, H.: Environmental variability and collective action: Experimental insights from an irrigation game, Ecol. Econ., 93, 166–176, 2013.
Annin, P.: The Great Lakes water wars, Island Press, Washington DC, 2006.
Armitage, C. and Christian, J.: From attitudes to behaviour: Basic and applied research on the theory of planned behaviour, Curr. Psychol., 22, 187–195, 2003.
Arthington, A. H. and Pusey, B. J.: Flow restoration and protection in Australian rivers, River Res. Appl., 19, 377–395, 2003.
Baldassare, M. and Katz, C.: The personal threat of environmental problems as predictor of environmental practices, Environ. Behav., 24, 602–616, 1992.
Barbier, E. B.: Explaining agricultural land expansion and deforestation in developing countries, Am. J. Agr. Econ., 86, 1347–1353, 2004.
Barlow, M.: Blue covenant: The global water crisis and the coming battle for the right to water, McClelland and Stewart, Toronto, Canada, 2007.
Bengston, D. N.: Changing Forest Values and Ecosystem Management, Soc. Natur. Resour., 7, 515–533, 2008.
Berkes, F. and Folke, C.: Linking social and ecological systems: Management practices and social mechanisms for building resilience, Cambridge University Press, Cambridge, 1998.
Berkes, F. and Jolly, D.: Adapting to climate change: social-ecological resilience in a Canadian western Arctic community, Conserv. Ecol., 5, 18–32, 2002.
Berkes, F., Colding, J., and Folke, C.: Navigating social-ecological systems: building resilience for complexity and change, Cambridge University Press, Cambridge, 2003.
Bezemer, D. and Headey, D.: Agriculture, development, and urban bias, World Dev., 36, 1342–1364, 2008.
Biswas, A. K.: History of hydrology, North-Holland Publishing Company, Amsterdam, London, 1970.
Biswas, A. K.: Water development and the environment, Int. J. Water Resour. D., 13, 141–168, 1997.
Biswas, A. K.: Water crisis: Current perceptions and future realities, Water Int., 24, 363–367, 1999.
Biswas, A. K.: Dams: cornucopia or disaster?, Int. J. Water Resour. D., 20, 3–14, 2004.
Biswas, A. K. and Tortajada, C.: Development and large dams: A global perspective, Int. J. Water Resour. D., 17, 9–21, 2001.
Biswas, A. K. and Tortajada, C.: Water quality management: An introductory framework, Int. J. Water Resour. D., 27, 5–11, 2011.
Briguglio, L., Cordina, G., Farrugia, N., and Vella, S.: Economic vulnerability and resilience: Concepts and measurements, Oxford Dev. Stud., 37, 229–247, 2009.
Broderick, K.: Getting a handle on social-ecological systems in catchments: the nature and importance of environmental perception, Aust. Geogr., 38, 297–308, 2007.
Buikstra, E., Ross, H., King, C. A., Baker, P. G., Hegney, D., McLachlan, K., and Rogers-Clark, C.: The components of resilience–Perceptions of an Australian rural community, J. Community Psychol., 38, 975–991, 2010.
Bunch, M. J., Morrison, K. E., Parkes, M. W., and Venema, H. D.: Promoting Health and Well-Being by Managing for Social-Ecological Resilience: the potential of integrating ecohealth and water resources management Approaches, Ecol. Soc., 16, 6–23, 2011.
Bunn, S. E. and Arthington, A. H.: Basic principles and ecological consequences of altered flow regimes for aquatic biodiversity, Environ. Manage., 30, 492–507, 2002.
Byerlee, D., Diao, X., and Jackson, C.: Agriculture, rural development, and pro-poor growth country experiences in the post-reform era, Agriculture and Rural Development Discussion Paper 21, The World Bank, Washington DC, 2005.
Carpenter, S. R., Stanley, E. H., and Vander Zanden, M. J.: State of the world's freshwater ecosystems: Physical, chemical, and biological changes, Annu. Rev. Env. Resour., 36, 75–99, 2011.
Carey, M., Baraer, M., Mark, B. G., French, A., Bury, J., Young, K. R., and McKenzie, J. M.: Toward hydro-social modeling: Merging human variables and the social sciences with climate-glacier runoff models (Santa River, Peru), J. Hydrol., https://doi.org/10.1016/j.jhydrol.2013.11.006, in press, 2014.
Chaskin, R.: Resilience, Community, and Resilient Communities: Conditioning Contexts and Collective Action, Child Care in Practice, 14, 65–74, 2008.
Conacher, A.: Dryland agriculture and secondary salinity, in: Man and the Australian Environment, McGraw-Hill, Sydney, 113–125, 1986.
Cosgrove, W. and Rijsberman, F.: World water vision: Making water everybody's business, World Water Council, Earthscan, London, UK, 2000.
Cullen, P. and Lake, P.: Water resources and biodiversity: past, present and future problems and solutions, in: Conserving Biodiversity: Threats and Solutions, edited by: Bradstock, R. A., Auld, T. D., Keith, D. A., Kingsford, R. T., Lumey, D., and Siversten, D. P., Surrey Beatty & Sons, Sydney, 115–125, 1995.
Cumming, G., Barnes, G., Perz, S., Schmink, M., Sieving, K., Southworth, J., Binford, M., Holt, R., Stickler, C., and Holt, T.: An Exploratory Framework for the Empirical Measurement of Resilience, Ecosystems, 8, 975–987, 2005.
Daily, G. C.: Nature's services: societal dependence on natural ecosystems, Island Press, Washington DC, 1997.
Dale, A., Ling, C., and Newman, L.: Community Vitality: The Role of Community-Level Resilience Adaptation and Innovation in Sustainable Development, Sustainability, 2, 215–231, 2010.
Di Baldassarre, G., Kooy, M., Kemerink, J. S., and Brandimarte, L.: Towards understanding the dynamic behaviour of floodplains as human-water systems, Hydrol. Earth Syst. Sci., 17, 3235–3244, https://doi.org/10.5194/hess-17-3235-2013, 2013a.
Di Baldassarre, G., Viglione, A., Carr, G., Kuil, L., Salinas, J. L., and Blöschl, G.: Socio-hydrology: conceptualising human-flood interactions, Hydrol. Earth Syst. Sci., 17, 3295–3303, https://doi.org/10.5194/hess-17-3295-2013, 2013b.
Epstein, G., Vogt, J. M., Mincey, S. K., Cox, M., and Fischer, B.: Missing ecology: integrating ecological perspectives with the social-ecological system framework, Int. J. Commons, 7, 432–453, 2013.
Falkenmark, M.: Main problems of water use and transfer of technology, GeoJournal, 3, 435–443, 1979.
Falkenmark, M.: Society's interaction with the water cycle: a conceptual framework for a more holistic approach, Hydrolog. Sci. J., 42, 451–466, 1997.
Falkenmark, M.: Forward to the future: a conceptual framework for water dependence, Ambio, 28, 356–361, 1999.
Falkenmark, M.: The greatest water problem: the inability to link environmental security, water security and food security, Int. J. Water Resour. D., 17, 539–554, 2001.
Falkenmark, M.: Freshwater as Shared between Society and Ecosystems: From Divided Approaches to Integrated Challenges, Philos. T. R. Soc. B., 358, 2037–2049, 2003.
Farmer, D., Sivapalan, M., and Jothityangkoon, C.: Climate, soil, and vegetation controls upon the variability of water balance in temperate and semiarid landscapes: Downward approach to water balance analysis, Water Resour. Res., 39, 1035, https://doi.org/10.1029/2001WR000328, 2003.
Fishman, C.: The Big Thirst: The secret life and turbulent future of water, Simon and Schuster, New York, 2011.
Flörke, M., Kynast, E., Bärlund, I., Eisner, S., Wimmer, F., and Alcamo, J.: Domestic and industrial water uses of the past 60 years as a mirror of socio-economic development: A global simulation study, Global Environ. Change, 23, 144–156, 2013.
Foley, J. A., Defries, R., Asner, G. P., Barford, C., Bonan, G., Carpenter, S. R., Chapin, F. S., Coe, M. T., Daily, G. C., Gibbs, H. K., Helkowski, J. H., Holloway, T., Howard, E. A., Kucharik, C. J., Monfreda, C., Patz, J. A., Prentice, I. C., Ramankutty, N., Snyder P. K., and DeFries, R.: Global consequences of land use, Science, 309, 570–574, 2005.
Folke, C.: Ecosystem approaches to the management and allocation of critical resources, in: Successes, limitations and frontiers in ecosystem science, edited by: Pace, M. and Groffman, P., Springer Verlag, New York, 313–345, 1998.
Folke, C.: Freshwater for Resilience: A Shift in Thinking, Philos. T. R. Soc. B., 358, 2027–2036, 2003.
Folke, C.: Resilience: The emergence of a perspective for social–ecological systems analyses, Global Environ. Chang., 16, 253–267, 2006.
Folke, C., Carpenter, S. R., Walker, B., Scheffer, M., Chapin, T., and Rockström, J.: Resilience thinking: integrating resilience, adaptability and transformability, Ecol. Soc., 15, 20–28, 2010.
Forbes, B. C., Fresco, N., Shvidenko, A., Danell, K., and Chapin, F. S.: Geographic variations in anthropogenic drivers that influence the vulnerability and resilience of social–ecological systems, Ambio, 33, 377–382, 2004.
Forbes, B. C., Stammler, F., Kumpula, T., Meschtyb, N., Pajunen, A., and Kaarlejärvi, E.: High resilience in the Yamal-Nenets social–ecological system, West Siberian Arctic, Russia, Proc. Natl. Acad. Sci. USA, 106, 22041–22048, 2009.
Fouberg, E. H., Murphy, A. B., and de Blij, H. J.: Human geography: people, place, and culture, John Wiley & Sons, Inc, Wiley. com, New Jersey, USA, 2010.
George, R., Dogramaci, S., Wyland, J., and Lacey, P.: Protecting stranded biodiversity using groundwater pumps and surface water engineering at Lake Toolibin, Western Australia, Aust. J. Water Resour., 9, 119–127, 2005.
Giddens, A.: The constitution of society: Introduction of the theory of structuration, Polity Press, Malden, MA, 1984.
Gleick, P. H.: Water and conflict: Fresh water resources and international security, Int. Security, 18, 79–112, 1993.
Gober, P. and Wheater, H. S.: Socio-hydrology and the science-policy interface: a case study of the Saskatchewan River Basin, Hydrol. Earth Syst. Sci., 18, 1413–1422, https://doi.org/10.5194/hess-18-1413-2014, 2014.
Gooch, M. and Rigano, D.: Enhancing Community-scale Social Resilience: what is the connection between healthy communities and healthy waterways?, Aust. Geogr., 41, 507–520, 2010.
Gordon, L. J., Finlayson, C. M., and Falkenmark, M.: Managing water in agriculture for food production and other ecosystem services, Agr. Water Manage., 97, 512–519, 2010.
Gregory, K. J.: The human role in changing river channels, Geomorphology, 79, 172–191, 2006.
Guimarães, M. H. E., Mascarenhas, A., Sousa, C., Boski, T., and Dentinho, T. P.: The impact of water quality changes on the socio-economic system of the Guadiana Estuary: an assessment of management options, Ecol. Soc., 17, 38–51, 2012.
Gunderson, L. H. and Holling, C. S.: Panarchy, Island Press, Washington D.C., 2002.
Hardin, G.: The tragedy of the commons, Science, 162, 1243–1248, 1968.
Hatton, T. J., Ruprecht, J., and George, R. J.: Preclearing hyrdology of the Western Australian wheatbelt: Target for the future, Plant Soil, 257, 341–356, 2003.
Heemskerk, M., Wilson, K., and Pavao-Zuckerman, M.: Conceptual Models as Tools for Communication Across Disciplines, Ecol. Soc., 7, 8–20, 2003.
Holling, C. S.: Resilience and stability of ecological systems, Annu. Rev. Ecol. Syst., 4, 1–23, 1973.
Horne, J.: Economic approaches to water management in Australia, Int. J. Water Resour. D., 29, 1–13, 2012.
Imberger, J., Mamouni, E. A. D., Anderson, J., Ng, M. L., Nicol, S., and Veale, A.: The Index of Sustainable Functionality: A new adaptive, multicriteria measurement of sustainability – Application to Western Australia, Int. J. Environ. Sust. Dev., 6, 323–355, 2007.
Johnston, B. F. and Mellor, J. W.: The role of agriculture in economic development, Am. Econ. Rev., 51, 566–593, 1961.
Jones, A.: Human geography: The basics, Routledge: Taylor and Francis, tandfonline.com, New York, NY, 2012.
Jones, N. A., Ross, H., Lynam, T., Perez, P., and Leitch, A.: Mental Models: An Interdisciplinary Synthesis of Theory and Methods, Ecol. Soc., 16, 46–58, 2011.
Kandasamy, J., Sounthararajah, D., Sivabalan, P., Chanan, A., Vigneswaran, S., and Sivapalan, M.: Socio-hydrologic drivers of the pendulum swing between agriculture development and environmental health: a case study from Murrumbidgee River Basin, Australia, Hydrol. Earth Syst. Sci., 18, 1027–1041, https://doi.org/10.5194/hess-18-1027-2014, 2014.
Kates, R. and Clark, W.: Our common journey, Washington DC, National Academy Press, 1999.
Kinzig, A. P.: Bridging Disciplinary Divides to Address Environmental and Intellectual Challenges, Ecosystems, 4, 709–715, 2001.
Kinzig, A. P., Ryan, P., Etienne, M., Allison, H., Elmqvist, T., and Walker, B. H.: Resilience and regime shifts: assessing cascading effects, Ecol. Soc., 11, 20–42, 2006.
Kinzig, A. P., Ehrlich, P. R., Alston, L. J., Arrow, K., Barrett, S., Buchman, T. G., Daily, G. C., Levin, B., Levin, S., and Oppenheimer, M.: Social norms and global environmental challenges: The complex interaction of behaviors, values, and policy, BioScience, 63, 164–175, 2013.
Kollmuss, A. and Agyeman, J.: Mind the Gap: Why Do People Act Environmentally and What Are the Barriers to Pro-Environmental Behavior?, Environ. Educ. Res., 8, 239–260, 2002.
Lade, S. J., Tavoni, A., Levin, S. A., and Schlüter, M.: Regime shifts in a social-ecological system, Theor. Ecol., 6, 359–372, 2013.
Lambin, E. F., Turner, B. L., Geist, H. J., Agbola, S. B., Angelsen, A., Bruce, J. W., Coomes, O. T., Dirzo, R., Fischer, G., and Folke, C.: The causes of land-use and land-cover change: moving beyond the myths, Global Environ. Change, 11, 261–269, 2001.
Leichenko, R. M. and O'Brien, K. L.: The dynamics of rural vulnerability to global change: the case of southern Africa, Mitig. Adapt. Strateg. Glob. Change, 7, 1–18, 2002.
Liu, J., Dietz, T., Carpenter, S. R., Folke, C., Alberti, M., Redman, C. L., Schneider, S. H., Ostrom, E., Pell, A. N., Lubchenco, J., Taylor, W. W., Ouyang, Z., Deadman, P., Kratz T., and Provencher, W.: Coupled human and natural systems, Ambio, 36, 639–649, 2007a.
Liu, J. G., Dietz, T., Carpenter, S. R., Alberti, M., Folke, C., Moran, E., Pell, A. N., Deadman, P., Kratz, T., Lubchenco, J., Ostrom, E., Ouyang, Z., Provencher, W., Redman, C. L., Schneider, S. H., and Taylor, W. W.: Complexity of coupled human and natural systems, Science, 317, 1513–1516, 2007b.
Liu, Y., Gupta, H., Springer, E., and Wagener, T.: Linking science with environmental decision making: experiences from an integrated modeling approach to supporting sustainable water resources management, Environ. Modell. Softw., 23, 846–858, 2008.
Liu, Y., Tian, F., Hu, H., and Sivapalan, M.: Socio-hydrologic perspectives of the co-evolution of humans and water in the Tarim River Basin, Western China: the Taiji–Tire Model, Hydrol. Earth Syst. Sci., 18, 1289–1303, https://doi.org/10.5194/hess-18-1289-2014, 2014.
Low, B., Costanza, R., Ostrom, E., Wilson, J., and Simon, C. P.: Human – ecosystem interactions: a dynamic integrated model, Ecol. Econ., 31, 227–242, 1999.
Luthar, S. S., Cicchetti, D., and Becker, B.: The construct of resilience: A critical evaluation and guidelines for future work, Child Dev., 71, 543–562, 2000.
Lynam, T. and Brown, K.: Mental Models in Human-Environment Interactions: Theory, Policy Implications, and Methodological Explorations, Ecol. Soc., 17, 24–26, 2012.
Mankad, A.: Decentralised water systems: Emotional influences on resource decision making, Environ. Int., 44, 128–140, 2012.
Mankad, A. and Tapsuwan, S.: Review of socio-economic drivers of community acceptance and adoption of decentralised water systems, J. Environ. Manage., 92, 380–391, 2011.
Marsh, G. P.: Man and Nature, Belknap Press of Harvard University Press, Cambridge, MA, 1864.
Masten, A. S., Best, K. M., and Garmezy, N.: Resilience and development: Contributions from the study of children who overcome adversity, Dev. Psychopathol., 2, 425–444, 1990.
McDonnell, M. J. and Pickett, S. T.: Humans as components of ecosystems: the ecology of subtle human effects and populated areas, Springer-Verlag, New York, 1993.
Molden, D., Sakthivadivel, R., and Samad, M.: Accounting for changes in water use and the need for institutional adaptation, in: Intersectoral management of river basins: Proceedings of an international workshop on Integrated Water Management in Water-Stressed River Basins in Developing Countries: Strategies for Poverty Alleviation and Agricultural Growth, Loskop Dam, South Africa, 16–21 October 2000, 2001.
Molle, F.: Historical benchmarks and reflections on small tanks and their utilization, Mossoro, Brazil: Collection Mossoroense, 1991.
Molle, F.: Development trajectories of river basins: a conceptual framework, Research Report, International Water Management Institute, 72, Colombo, Sri Lanka, 2003.
Montanari, A., Young, G., Savenije, H., Hughes, D., Wagener, T., Ren, L., Koutsoyiannis, D., Cudennec, C., Toth, E., Grimaldi, S., Blöschl, G., M. Sivapalan, M., Beven, K., Gupta, H., Hipsey, M., Schaefli, B., Arheimer, B., Boegh, E., Schymanski, S. J., Di Baldassarre, G., Yu, B., Hubert, P., Huang, Y., Schumann, A., Post, D. A., Srinivasan, V., Harman, C., Thompson, S., Rogger, M., Viglione, A., McMillan, H., Characklis, G., Pangad, Z., and Belyaev, V.: "Panta Rhei–Everything Flows": Change in hydrology and society – The IAHS Scientific Decade 2013–2022, Hydrolog. Sci. J., 58, 1256–1275, 2013.
Munro, J. K. and Moore, S. A.: Using landholder perspectives to evaluate and improve recovery planning for Toolibin Lake in the West Australian wheatbelt, Ecol. Manage. Restor., 4, 111–117, 2005.
Myrdal, G.: The Principle of Circular and Cumulative Causation, in: Economic theory and under-developed regions, edited by: Myrdal, G., Methuen and Co. Ltd., London, 11–22, 1957.
Norgaard, R. B., Kallis, G., and Kiparsky, M.: Collectively engaging complex socio-ecological systems: re-envisioning science, governance, and the California Delta, Environ. Sci. Policy, 12, 644–652, 2009.
Odum, E. P.: Ecology and our endangered life-support systems, Sinauer Associates, Massachusetts, 1989.
Ostrom, E.: A general framework for analysing sustainability of social-ecological systems, Science, 325, 419–422, 2009.
Ostrom, E., Dietz, T., Dolsak, N., Stern, P., Stonich, S., and Weber, E. (Eds.): The drama of the commons, Committee on the Human Dimensions of Global Change, National Academies Press, Washington, DC, 2002.
Pande, S., Ertsen, M., and Sivapalan, M.: Endogenous technological and population change under increasing water scarcity, Hydrol. Earth Syst. Sci. Discuss., 10, 13505–13537, https://doi.org/10.5194/hessd-10-13505-2013, 2013.
Pearce, F.: When the Rivers Run Dry: Water – The Defining Crisis of the Twenty-first Century, Beacon Press, Boston, Massachussets, 2007.
Postel, S. L.: Securing water for people, crops, and ecosystems: New mindset and new priorities, Nat. Resour. Forum, 27, 89–98. 2003.
Ribeiro Neto, A., Scott, C. A., Lima, E. A., Montenegro, S. M. G. L., and Cirilo, J. A.: Infrastructure sufficiency in meeting water demand under climate-induced socio-hydrological transition in the urbanizing Capibaribe River Basin – Brazil, Hydrol. Earth Syst. Sci. Discuss., 11, 2795–2824, https://doi.org/10.5194/hessd-11-2795-2014, 2014.
Rockström, J., Lannerstad, M., and Falkenmark, M.: Assessing the water challenge of a new green revolution in developing countries, Proc. Natl. Acad. Sci. USA, 104, 6253–6260, 2007.
Rockström, J., Falkenmark, M., Karlberg, L., Hoff, H., Rost, S., and Gerten, D.: Future water availability for global food production: the potential of green water for increasing resilience to global change, Water Resour. Res., 45, W00A12, https://doi.org/10.1029/2007WR006767, 2009.
Rogers, R. W.: A Protection Motivation Theory of Fear Appeals and Attitude Change1, J. Psychol., 91, 93–114, 1975.
Rolfe, J., Donaghy, P., Alam, K., O'Dea, G., and Miles, R.: Considering the economic and social impacts of protecting environmental values in specific Moreton Bay/SEQ, Mary River Basin/Great Sandy Strait Region and Douglas Shire waters, Report prepared for the Environmental Protection Agency, Queensland Government, Rockhampton, Australia, 2005.
Savenije, H., Hoekstra, A., and van der Zaag, P.: Evolving water science in the Anthropocene, Hydrol. Earth Syst. Sci., 18, 319–332, https://doi.org/10.5194/hess-18-319-2014, 2014.
Scheffer, M.: Critical transitions in nature and society, Princeton University Press, Princeton, New Jersey, 2009.
Scheffer, M. and Westley, F. R.: The evolutionary basis of rigidity: locks in cells, minds, and society, Ecol. Soc., 12, 36–48, 2007.
Schlüter, M. and Herrfahrdt-Pähle, E.: Exploring resilience and transformability of a river basin in the face of socio-economic and ecological crisis: An example from the Amudarya River Basin, central Asia, Ecol. Soc., 16, 1–19, 2011.
Schlüter, M. and Pahl-Wostl, C.: Mechanisms of resilience in common-pool resource management systems: an agent-based model of water use in a river basin, Ecol. Soc., 12, 4–26, 2007.
Schlüter, M., Leslie, H., and Levin, S.: Managing water-use trade-offs in a semi-arid river delta to sustain multiple ecosystem services: a modeling approach, Ecol. Res., 24, 491–503, 2009.
Schlüter, M., McAllister, R. R. J., Arlinghaus, R., Bunnefeld, N., Eisenack, K., Hoelker, F., Milner-Gulland, E. J., Müller, B., Nicholson, E., Quaas, K., and Stöven, M.: New horizons for managing the environment: A review of coupled social-ecological systems modeling, Nat. Resour. Model., 25, 219–272, 2012.
Schlüter, M., Müller, B., and Frank, K.: How to use models to improve analysis and governance of social-ecological systems – the reference frame MORE, Working Paper, 5 April 2013, https://doi.org/10.2139/ssrn.2037723, 2013.
Schwarz, N. and Ernst, A.: Agent-based modeling of the diffusion of environmental innovations – An empirical approach, Technol. Forecast. Soc., 76, 497–511, 2009.
Seymour, E., Curtis, A., Pannell, D., Allan, C., and Roberts, A.: Understanding the role of assigned values in natural resource management, Australas. J. Environ., 17, 142–153, 2010.
Sherrieb, K., Norris, F. H., and Galea, S.: Measuring Capacities for Community Resilience, Soc. Indic. Res., 99, 227–247, 2010.
Simane, B., Zaitchik, B. F., and Mesfin, D.: Building Climate Resilience in the Blue Nile/Abay Highlands: A Framework for Action, Int. J. Environ. Res. Public Health, 9, 435–461, 2012.
Sivapalan, M., Savenije, H. H. G., and Blöschl, G.: Socio-hydrology: A new science of people and water, Hydrol. Process., 26, 1270–1276, 2012.
Sivapalan, M., Konar, M., Srinivasan, V., Chhatre, A., Wutich, A., Scott, C. A., Wescoat, J. L., and Rodríguez-Iturbe, I.: Socio-hydrology: Use inspired water sustainability science for the Anthropocene, Earth's Future, 2, 225–230, https://doi.org/10.1002/eft2.26, 2014.
Smith, J., Moore, R., Anderson, D., and Siderelis, C.: Community Resilience in Southern Appalachia: A Theoretical Framework and Three Case Studies, Hum. Ecol., 40, 341–353, 2012.
Srinivasan, V.: Coevolution of water security in a developing city, Hydrol. Earth Syst. Sci. Discuss., 10, 13265–13291, https://doi.org/10.5194/hessd-10-13265-2013, 2013.
Srinivasan, V., Seto, K. C., Emerson, R., and Gorelick, S. M.: The impact of urbanization on water vulnerability: A coupled human-environment system approach for Chennai, India, Global Environ. Change, 23, 229–239, 2013.
Steffen, W., Grinevald, J., Crutzen, P., and McNeill, J.: The Anthropocene: conceptual and historical perspectives, Philos. T. R. Soc. A, 369, 842–867, 2011.
Stein, T. V., Anderson, D. H., and Kelly, T.: Using stakeholders' values to apply ecosystem management in an upper Midwest landscape, Environ. Manage., 24, 399–413, 1999.
Tavoni, A., Schlüter, M., and Levin, S.: The survival of the conformist: social pressure and renewable resource management, J. Theor. Biol., 299, 152–161, 2012.
Thomas Jr., W. L.: Man's Role in Changing the Face of the Earth, University of Chicago Press, Chicago, USA, 1956.
Thompson, S. E., Sivapalan, M., Harman, C. J., Srinivasan, V., Hipsey, M. R., Reed, P., Montanari, A., and Blöschl, G.: Developing predictive insight into changing water systems: use-inspired hydrologic science for the Anthropocene, Hydrol. Earth Syst. Sci., 17, 5013–5039, https://doi.org/10.5194/hess-17-5013-2013, 2013.
Tolun, L. G., Ergenekon, S., Hocaoglu, S. M., Donertas, A. S., Cokacar, T., Husrevoglu, S., Beken, C. P., and Baban, A.: Socioeconomic Response to Water Quality: a First Experience in Science and Policy Integration for the Izmit Bay Coastal System, Ecol. Soc., 17, 40–53, 2012.
Transparency International: The Corruption Perceptions Index, Transparency International, Berlin, 2012.
Turner, B. L.: Vulnerability and resilience: Coalescing or paralleling approaches for sustainability science?, Global Environ. Change, 20, 570–576, 2010.
Turner, B. L., Clark, W., Kates, R., Richards, J., Matthews, J., and Meyer, W. B.: The earth as transformed by human action: global and regional changes in the biosphere over the past 300 years, Cambridge University Press Archive, Cambridge, UK, 1990.
Turner, B. L., Kasperson, R. E., Matson, P. A., McCarthy, J. J., Corell, R. W., Christensen, L., Eckley, N., Kasperson, J. X., Luers, A., Martello, M. L., Polsky, C., Pulsipher, A., and Schiller, A.: A framework for vulnerability analysis in sustainability science, Proc. Natl. Acad. Sci. USA, 100, 8074–8079, 2003.
Turral, H.: Hydro-Logic?: Reform in Water Resources Management in Developed Countries with Major Agricultural Water Use: Lessons for Developing Nations, Overseas Development Institute, London, 1998.
UNDP: Human Development Report 1990, United Nations Development Programme, New York, 1990.
UNEP: World atlas of desertification, United Nations Environment Programme, London, 1997.
van Emmerik, T. H. M., Li, Z., Sivapalan, M., Pande, S., Kandasamy, J., Savenije, H. H. G., Chanan, A., and Vigneswaran, S.: Socio-hydrologic modeling to understand and mediate the competition for water between agriculture development and environmental health: Murrumbidgee River Basin, Australia, Hydrol. Earth Syst. Sci. Discuss., 11, 3387–3435, https://doi.org/10.5194/hessd-11-3387-2014, 2014.
Vanclay, F.: The social side of natural resource management, W.A. BankWest Landcare Conference: Where Community Counts, Esperance, W.A., September, 29–39, 1999.
Vanclay, F.: Social principles for agricultural extension to assist in the promotion of natural resource management, Animal Production Science, 44, 213–222, 2004.
Varis, O.: Poverty, economic growth, deprivation, and water: the cases of Cambodia and Vietnam, Ambio, 37, 225–231, 2008.
Vaske, J. J. and Donnelly, M. P.: A value-attitude-behavior model predicting wildland preservation voting intentions, Soc. Natur Resour., 12, 523–537, 1999.
Vörösmarty, C. J., Leveque, C., and Revenga, C. (Convening Lead Authors) (with Bos, R., Caudill, C., Chilton, J., Douglas, E. M., Meybeck, M., Prager, D., Balvanera, P., Barker, S., Maas, M., Nilsson, C., Oki, T., Reidy, C. A.): Chapter 7: Fresh Water, in: Millennium Ecosystem Assessment, Volume 1: Conditions and Trends Working Group Report, Island Press, Washington DC, 165–207, 2005.
Walker, K. and Thoms, M.: Environmental effects of flow regulation on the lower River Murray, Australia, Regul. River, 8, 103–119, 1993.
Zilberman, D., Dinar, A., MacDougall, N., Khanna, M., Brown, C., and Castillo, F.: Individual and institutional responses to the drought: the case of California agriculture, J. Contemp. Water Res. Educ., 121, 17–23, 2011.