Articles | Volume 23, issue 1
https://doi.org/10.5194/hess-23-537-2019
© Author(s) 2019. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/hess-23-537-2019
© Author(s) 2019. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Education and communication
| 
29 Jan 2019
Education and communication |
| 29 Jan 2019
| 29 Jan 2019
Perspectives and ambitions of interdisciplinary connectivity researchers
Eva Nora Paton
CORRESPONDING AUTHOR
Chair of Ecohydrology, Institute of Ecology, TU Berlin, 10587 Berlin,
Germany
Anna Smetanová
Chair of Ecohydrology, Institute of Ecology, TU Berlin, 10587 Berlin,
Germany
Tobias Krueger
IRI THESys, Humboldt-Universität zu Berlin, 10099 Berlin, Germany
Anthony Parsons
Department of Geography, University of Sheffield, S10 2TN, Sheffield,
UK
Related authors
Pedro Henrique Lima Alencar, Saskia Arndt, Kei Namba, Márk Somogyvári, Frederik Bart, Fabio Brill, Juan Dueñas, Peter Feindt, Daniel Johnson, Nariman Mahmoodi, Christoph Merz, Subham Mukherjee, Katrin Nissen, Eva Nora Paton, Tobias Sauter, Dörthe Tetzlaff, Franziska Tügel, Thomas Vogelpohl, Stenka Valentinova Vulova, Behnam Zamani, and Hui Hui Zhang
EGUsphere, https://doi.org/10.5194/egusphere-2025-428, https://doi.org/10.5194/egusphere-2025-428, 2025
This preprint is open for discussion and under review for Natural Hazards and Earth System Sciences (NHESS).
Short summary
Short summary
As climate change escalates, the Berlin-Brandenburg region faces new challenges. Climate change-induced extreme events are expected to cause new conflicts to emerge and aggravate existing ones. To guide future research, we co-develop a list of key questions on climate and water challenges in the region. Our findings highlight the need for new research approaches. We expect this list to provide a roadmap for actionable knowledge production to address climate and water challenges in the region.
Johannes Vogel, Eva Paton, and Valentin Aich
Biogeosciences, 18, 5903–5927, https://doi.org/10.5194/bg-18-5903-2021, https://doi.org/10.5194/bg-18-5903-2021, 2021
Short summary
Short summary
This study investigates extreme ecosystem impacts evoked by temperature and soil moisture in the Mediterranean Basin for the time span 1999–2019 with a specific focus on seasonal variations. The analysis showed that ecosystem vulnerability is caused by several varying combinations of both drivers during the yearly cycle. The approach presented here helps to provide insights on the specific phenological stage of the year in which ecosystem vulnerability to a certain climatic condition occurs.
Pedro Henrique Lima Alencar, Eva Nora Paton, and José Carlos de Araújo
Hydrol. Earth Syst. Sci. Discuss., https://doi.org/10.5194/hess-2021-278, https://doi.org/10.5194/hess-2021-278, 2021
Manuscript not accepted for further review
Short summary
Short summary
Knowing how long and how fast it rained on a particular day is not often an easy (or cheap) task. It requires equipment and constant monitoring. It can be even harder if you live in an isolated area or if the day you are interested in is so much in the past that such pieces of equipment were not even in the market. In this paper, we propose a new way to assess such information and also show how it can help to model sediment transport and siltation in watersheds.
V. Aich, B. Koné, F. F. Hattermann, and E. N. Müller
Nat. Hazards Earth Syst. Sci. Discuss., https://doi.org/10.5194/nhessd-2-5171-2014, https://doi.org/10.5194/nhessd-2-5171-2014, 2014
Revised manuscript not accepted
V. Aich, S. Liersch, T. Vetter, S. Huang, J. Tecklenburg, P. Hoffmann, H. Koch, S. Fournet, V. Krysanova, E. N. Müller, and F. F. Hattermann
Hydrol. Earth Syst. Sci., 18, 1305–1321, https://doi.org/10.5194/hess-18-1305-2014, https://doi.org/10.5194/hess-18-1305-2014, 2014
Pedro Henrique Lima Alencar, Saskia Arndt, Kei Namba, Márk Somogyvári, Frederik Bart, Fabio Brill, Juan Dueñas, Peter Feindt, Daniel Johnson, Nariman Mahmoodi, Christoph Merz, Subham Mukherjee, Katrin Nissen, Eva Nora Paton, Tobias Sauter, Dörthe Tetzlaff, Franziska Tügel, Thomas Vogelpohl, Stenka Valentinova Vulova, Behnam Zamani, and Hui Hui Zhang
EGUsphere, https://doi.org/10.5194/egusphere-2025-428, https://doi.org/10.5194/egusphere-2025-428, 2025
This preprint is open for discussion and under review for Natural Hazards and Earth System Sciences (NHESS).
Short summary
Short summary
As climate change escalates, the Berlin-Brandenburg region faces new challenges. Climate change-induced extreme events are expected to cause new conflicts to emerge and aggravate existing ones. To guide future research, we co-develop a list of key questions on climate and water challenges in the region. Our findings highlight the need for new research approaches. We expect this list to provide a roadmap for actionable knowledge production to address climate and water challenges in the region.
Márk Somogyvári, Fabio Brill, Mikhail Tsypin, Lisa Rihm, and Tobias Krueger
EGUsphere, https://doi.org/10.5194/egusphere-2024-4031, https://doi.org/10.5194/egusphere-2024-4031, 2025
Short summary
Short summary
In this study, we examined regional differences in groundwater behavior in Berlin-Brandenburg. We have developed a novel approach, combining standard groundwater modelling tools such with special data analysis techniques. The presented methodology can help to separate areas with different groundwater behavior from each other, which could be used as a starting point for further analysis.
Sophie Wagner, Fabian Stenzel, Tobias Krueger, and Jana de Wiljes
Hydrol. Earth Syst. Sci., 28, 5049–5068, https://doi.org/10.5194/hess-28-5049-2024, https://doi.org/10.5194/hess-28-5049-2024, 2024
Short summary
Short summary
Statistical models that explain global irrigation rely on location-referenced data. Traditionally, a system based on longitude and latitude lines is chosen. However, this introduces bias to the analysis due to the Earth's curvature. We propose using a system based on hexagonal grid cells that allows for distortion-free representation of the data. We show that this increases the model's accuracy by 28 % and identify biophysical and socioeconomic drivers of historical global irrigation expansion.
Márk Somogyvári, Dieter Scherer, Frederik Bart, Ute Fehrenbach, Akpona Okujeni, and Tobias Krueger
Hydrol. Earth Syst. Sci., 28, 4331–4348, https://doi.org/10.5194/hess-28-4331-2024, https://doi.org/10.5194/hess-28-4331-2024, 2024
Short summary
Short summary
We study the drivers behind the changes in lake levels, creating a series of models from least to most complex. In this study, we have shown that the decreasing levels of Groß Glienicker Lake in Germany are not simply the result of changes in climate but are affected by other processes. In our example, reduced inflow from a growing forest, regionally sinking groundwater levels and the modifications in the local rainwater infrastructure together resulted in an increasing lake level loss.
Rozemarijn ter Horst, Rossella Alba, Jeroen Vos, Maria Rusca, Jonatan Godinez-Madrigal, Lucie V. Babel, Gert Jan Veldwisch, Jean-Philippe Venot, Bruno Bonté, David W. Walker, and Tobias Krueger
Hydrol. Earth Syst. Sci., 28, 4157–4186, https://doi.org/10.5194/hess-28-4157-2024, https://doi.org/10.5194/hess-28-4157-2024, 2024
Short summary
Short summary
The exact power of models often remains hidden, especially when neutrality is claimed. Our review of 61 scientific articles shows that in the scientific literature little attention is given to the power of water models to influence development processes and outcomes. However, there is a lot to learn from those who are openly reflexive. Based on lessons from the review, we call for power-sensitive modelling, which means that people are critical about how models are made and with what effects.
Johannes Vogel, Eva Paton, and Valentin Aich
Biogeosciences, 18, 5903–5927, https://doi.org/10.5194/bg-18-5903-2021, https://doi.org/10.5194/bg-18-5903-2021, 2021
Short summary
Short summary
This study investigates extreme ecosystem impacts evoked by temperature and soil moisture in the Mediterranean Basin for the time span 1999–2019 with a specific focus on seasonal variations. The analysis showed that ecosystem vulnerability is caused by several varying combinations of both drivers during the yearly cycle. The approach presented here helps to provide insights on the specific phenological stage of the year in which ecosystem vulnerability to a certain climatic condition occurs.
Pedro Henrique Lima Alencar, Eva Nora Paton, and José Carlos de Araújo
Hydrol. Earth Syst. Sci. Discuss., https://doi.org/10.5194/hess-2021-278, https://doi.org/10.5194/hess-2021-278, 2021
Manuscript not accepted for further review
Short summary
Short summary
Knowing how long and how fast it rained on a particular day is not often an easy (or cheap) task. It requires equipment and constant monitoring. It can be even harder if you live in an isolated area or if the day you are interested in is so much in the past that such pieces of equipment were not even in the market. In this paper, we propose a new way to assess such information and also show how it can help to model sediment transport and siltation in watersheds.
V. Aich, B. Koné, F. F. Hattermann, and E. N. Müller
Nat. Hazards Earth Syst. Sci. Discuss., https://doi.org/10.5194/nhessd-2-5171-2014, https://doi.org/10.5194/nhessd-2-5171-2014, 2014
Revised manuscript not accepted
V. Aich, S. Liersch, T. Vetter, S. Huang, J. Tecklenburg, P. Hoffmann, H. Koch, S. Fournet, V. Krysanova, E. N. Müller, and F. F. Hattermann
Hydrol. Earth Syst. Sci., 18, 1305–1321, https://doi.org/10.5194/hess-18-1305-2014, https://doi.org/10.5194/hess-18-1305-2014, 2014
Related subject area
Subject: Catchment hydrology | Techniques and Approaches: Modelling approaches
CONCN: a high-resolution, integrated surface water–groundwater ParFlow modeling platform of continental China
Evaluating the effects of topography and land use change on hydrological signatures: a comparative study of two adjacent watersheds
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
Multi-variable process-based calibration of a behavioural 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
Comparative Hydrological Modeling of Snow-Cover and Frozen Ground Impacts Under Topographically Complex Conditions
Multi-scale soil moisture data and process-based modeling reveal the importance of lateral groundwater flow in a subarctic catchment
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
Adaptation of root zone storage capacity to climate change and its effects on future streamflow in Alpine catchments: towards non-stationary model parameters
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
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., 29, 2201–2218, https://doi.org/10.5194/hess-29-2201-2025, https://doi.org/10.5194/hess-29-2201-2025, 2025
Short summary
Short summary
We developed the first high-resolution, integrated surface water–groundwater hydrologic model of the entirety of continental China using ParFlow. The model shows good performance in terms 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.
Haifan Liu, Haochen Yan, and Mingfu Guan
Hydrol. Earth Syst. Sci., 29, 2109–2132, https://doi.org/10.5194/hess-29-2109-2025, https://doi.org/10.5194/hess-29-2109-2025, 2025
Short summary
Short summary
Land changes and landscape features critically impact water systems. Studying two watersheds in China’s Greater Bay Area, we found slope strongly influences water processes in mountainous areas. However, this relationship is weak in the lower regions of steeper watersheds. Urbanization leads to an increase in annual surface runoff, while flatter watersheds exhibit a buffering capacity against this effect. However, this buffering capacity diminishes with increasing annual rainfall intensity.
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
Short summary
Short summary
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
Short summary
Short summary
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
Short summary
Short summary
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
Short summary
Short summary
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
Short summary
Short summary
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
Short summary
Short summary
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
Short summary
Short summary
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
Short summary
Short summary
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
Short summary
Short summary
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
Short summary
Short summary
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
Short summary
Short summary
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
Short summary
Short summary
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.
Moritz Maximilian Heuer, Hadysa Mohajerani, and Markus Christian Casper
EGUsphere, https://doi.org/10.5194/egusphere-2025-636, https://doi.org/10.5194/egusphere-2025-636, 2025
Short summary
Short summary
This study presents a calibration approach for water balance models. The different calibration steps aim at calibrating different hydrological processes: evapotranspiration, the runoff partitioning into surface runoff, interflow and groundwater recharge, as well as the groundwater behaviour. This allows for selection of a model parameterisation that correctly predicts the discharge at catchment outlet and simultaneously correctly depicts the underlying hydrological processes.
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
Short summary
Short summary
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
Short summary
Short summary
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
Short summary
Short summary
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
Short summary
Short summary
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
Short summary
Short summary
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
Short summary
Short summary
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
Short summary
Short summary
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
Short summary
Short summary
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
Short summary
Short summary
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
Short summary
Short summary
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
Short summary
Short summary
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
Short summary
Short summary
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
Short summary
Short summary
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
Short summary
Short summary
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
Short summary
Short summary
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
Short summary
Short summary
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
Short summary
Short summary
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
Short summary
Short summary
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
Short summary
Short summary
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.
Nan Wu, Ke Zhang, Amir Naghibi, Hossein Hashemi, Zhongrui Ning, Qinuo Zhang, Xuejun Yi, Haijun Wang, Wei Liu, Wei Gao, and Jerker Jarsjö
Hydrol. Earth Syst. Sci. Discuss., https://doi.org/10.5194/hess-2024-324, https://doi.org/10.5194/hess-2024-324, 2024
Revised manuscript accepted for HESS
Short summary
Short summary
The hydrology of cold regions in the human population is poorly understood due to complex motion and limited data, hindering streamflow analysis. Using existing models, we compared runoff from an extended model with snowmelt and frozen ground, validating its reliability and integration. This study focuses on the effects of snowmelt and frozen ground on runoff, affecting precipitation type, surface-groundwater partitioning, and evapotranspiration.
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
Short summary
Short summary
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.
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
Short summary
Short summary
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
Short summary
Short summary
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
Short summary
Short summary
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
Short summary
Short summary
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
Short summary
Short summary
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
Short summary
Short summary
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
Short summary
Short summary
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
Short summary
Short summary
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
Short summary
Short summary
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.
Magali Ponds, Sarah Hanus, Harry Zekollari, Marie-Claire ten Veldhuis, Gerrit Schoups, Roland Kaitna, and Markus Hrachowitz
Hydrol. Earth Syst. Sci. Discuss., https://doi.org/10.5194/hess-2024-260, https://doi.org/10.5194/hess-2024-260, 2024
Revised manuscript accepted for HESS
Short summary
Short summary
This research examines how future climate changes impact root zone storage, a crucial hydrological model parameter. Root zone storage—the soil water accessible to plants—adapts to climate but is often treated as constant in models. We estimated climate-adapted storage for six Austrian Alps catchments. Although storage increased, streamflow projections showed minimal change, indicating that dynamic root zone representation is less critical in humid regions but warrants more study in arid areas.
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
Short summary
Short summary
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
Short summary
Short summary
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
Short summary
Short summary
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
Short summary
Short summary
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.
Cited articles
Ahlmer, A.-K., Cavalli, M., Hansson, K., Koutsouris, A. J., Crema, S., and
Kalantari, Z.: Soil moisture remote-sensing applications for identification
of flood-prone areas along transport infrastructure, Environ. Earth Sci., 77, 533, https://doi.org/10.1007/s12665-018-7704-z, 2018.
Ali, G., Oswald, C., Spence, C., and Wellen, C.: The t-tel method for assessing
water, sediment, and chemical connectivity, Water Resour. Res., 54,
634–662, https://doi.org/10.1002/2017wr020707, 2018.
Baguette, M., Blanchet, S., Legrand, D., Stevens, V. M., and Turlure, C.:
Individual dispersal, landscape connectivity and ecological networks,
Biol. Rev., 88, 310–326, https://doi.org/10.1111/brv.12000, 2013.
Bracken, L. J. and Oughton, E. A.: 'What do you mean?' The importance of
language in developing interdisciplinary research, Transactions of the
Institute of British Geographers, 31, 371–382,
https://doi.org/10.1111/j.1475-5661.2006.00218.x, 2006.
Bracken, L. J., Wainwright, J., Ali, G., A., Tetzlaff, D., Smith, M. W.,
Reaney, S. M., and Roy, A. G.: Concepts of hydrological connectivity:
Research approaches, pathways and future agendas, Earth-Sci. Rev., 119,
17–34, https://doi.org/10.1016/j.earscirev.2013.02.001, 2013.
Bracken, L. J., Turnbull, L., Wainwright, J., and Bogaart, P.: Sediment
connectivity: a framework for understanding sediment transfer at multiple
scales, Earth Surf. Proc. Land., 40, 177–188,
https://doi.org/10.1002/esp.3635, 2015.
Brierley, G., Fryirs, K., and Jain, V.: Landscape connectivity: the
geographic basis of geomorphic applications, Area, 38, 165–174,
https://doi.org/10.1111/j.1475-4762.2006.00671.x, 2006.
Brooks, C. P.: A scalar analysis of landscape connectivity, Oikos, 102,
433–439, 2003.
Callegaro, C. and Ursino, N.: Connectivity of Niches of Adaptation Affects
Vegetation Structure and Density in Self-Organized (Dis-Connected)
Vegetation Patterns, Land Degrad. Develop., 29, 2589–2594,
https://doi.org/10.1002/ldr.2759, 2018.
Carley, K. M.: Extracting team mental models through textual analysis, J.
Organiz. Behav., 18, 533–558, 1997.
Cavalli, M., Trevisani, S., Comiti, F., and Marchi, L.: Geomorphometric
assessment of spatial sediment connectivity in small Alpine catchments,
Geomorphology, 188, 31–41, 2013.
Cilliers, P., Biggs, H. C., Blignaut, S., Choles, A. G., Hofmeyr, J.-H. S.,
Jewitt, G. P. W., and Roux, D. J.: Complexity, modeling, and natural
resource management, Ecol. Soc., 18, 1,
https://doi.org/10.5751/ES-05382-180301, 2013.
Clauzel, C., Girardet, X., and Foltête, J. C.: Impact assessment of a high-speed
railway line on species distribution: Application to the European tree frog
(Hyla arborea) in Franche-Comté, J. Environ. Manag.,
127, 125–134, https://doi.org/10.1016/j.jenvman.2013.04.018, 2013.
Connecteur: Cost Action ES 1306: Connecting Connectivity Research, available
at: http://connecteur.info (last access: 12 June 2018), 2018.
Connecteur WG 1.: Cost Action ES 1306: Connecting European Connectivity
Research: WG Theory development, available at:
http://connecteur.info/wiki/connectivity-wiki/ (last access: 14 April 2018), 2018.
Connecteur WG 3 Think-Tank Team (Nunes, J. P., Wainwright, J., Bielders, C.
L., Darboux, F., Fiener, P., Finger, D., and Turnbull, L.): Better models are
more effectively connected models, Earth Surf. Process. Land., 43, 1355–1360,
https://doi.org/10.1002/esp.4323, 2018.
Connecteur WG 5.: Cost Action ES 1306: Connecting European Connectivity
Research: WG Transitions of connectivity research towards sustainable land
and water management, available at: http://connecteur.info/groups/working-group-5/
(last access: 17 October 2016), 2016.
Cossart, E., Viel, V., Lissak, C., Reulier, R., Fressard, M., and Delahaye, D.: How might
sediment connectivity change in space and time?, Land Degrad.
Develop., 29, 2595–2613, https://doi.org/10.1002/ldr.3022, 2018.
De Dreu, C. K. W. and Weingart, L. R.: Task versus relationship conflict,
team performance, and team member satisfaction: A meta-analysis, J.
Appl. Psychol., 88, 741–749, 2003.
Dewulf, A., François, G., Pahl-Wostl, C., and Taillieu, T.: A framing
approach to cross-disciplinary research collaboration: experiences from a
large-scale research project on adaptive water management, Ecol.
Soc., 12, http://www.ecologyandsociety.org/vol12/iss2/art14/, 2007.
Douglas, E. M., Wheeler, S. A., Smith, D. J., Overton, I. C., Gray, S. A.,
Doody, T. M., and Crossman, N. D.: Using mental-modelling to explore how
irrigators in the Murray–Darling Basin make water-use decisions, J.
Hydrol.: Reg. Stud., 6, 1–12,
https://doi.org/10.1016/j.ejrh.2016.01.035, 2016.
Foltête, J. C., Girardet, X., and Clauzel, C.: A methodological framework for the
use of landscape graphs in land-use planning, Landscape Urban Plan.,
124, 140–150, https://doi.org/10.1016/j.landurbplan.2013.12.012, 2014.
Freeman, M. C., Pringle, C. M., and Jackson, C. R.: Hydrologic connectivity and the
contribution of stream headwaters to ecological integrity at regional
scales, J. Am. Water Res. Assoc., 43, 5–14,
https://doi.org/10.1111/j.1752-1688.2007.00002.x, 2007.
Fryirs, K. A., Brierley, G. J., Preston, N. J., and Kasai, M.: Buffers,
barriers and blankets: The (dis)connectivity of catchment-scale sediment
cascades, Catena 70, 49–67, https://doi.org/10.1016/j.catena.2006.07.007,
2007.
Gibson, H., Stewart, I. S., Pahl, S., and Stokes, A.: A “mental models” approach to the communication of subsurface hydrology and hazards,
Hydrol. Earth Syst. Sci., 20, 1737–1749, https://doi.org/10.5194/hess-20-1737-2016, 2016.
Godeman, J.: Sustainable Communication as an Inter- and Transdisciplinary
Discipline, in: Sustainability
Communication: Interdisciplinary Perspectives and Theoretical Foundations, edited by: Godemann, J. and Michelsen, G.,
Springer Science+Business Media,
https://doi.org/10.1007/978-94-007-1697-1, 2011.
Golden, H. E., Creed, I. F., Ali, G., Basu, N. B., Neff, B. P., Rains, M. C.,
McLaughlin, D. L., Alexander, L. C., Ameli, A. A., Christensen, J. R., Evenson,
G. R., Jones, C. N., Lane, C. R., and Lang, M. G.: Integrating geographically
isolated wetlands into land management decisions, Front. Ecology
Environ., 15, 319–327, https://doi.org/10.1002/fee.1504, 2017.
Grabowski, A.: Opinion formation in a social network: The role of human
activity, Physica A: Statistical Mechanics and Its Applications, 388,
961–966, https://doi.org/10.1016/j.physa.2008.11.036, 2009.
Hare, M. and Pahl-Wostl, C.: Stakeholder categorisation in participatory
integrated assessment processes, Integrated Assessment, 3, 50–62,
https://doi.org/10.1076/iaij.3.1.50.7408, 2002.
Harel, M. A. and Mouche, E.: 1-D steady state runoff production in light of
queuing theory: Heterogeneity, connectivity, and scale, Water Resour. Res., 49, 7973–7991, https://doi.org/10.1002/2013WR013596, 2013.
Harel, M. A. and Mouche, E.: Is the connectivity function a good indicator
of soil infiltrability distribution and runoff flow dimension?, Earth Surf. Proc. Land., 39, 1514–1525, https://doi.org/10.1002/esp.3604,
2014.
Heckmann, T., Cavalli, M., Cerdan, O., Foerster, S., Javaux, M., Lode, E.,
Smetanová, A., Vericat, D., and Brardinoni, F.: Indices of sediment
connectivity, Earth Sci. Rev., 187, 77–108,
https://doi.org/10.1016/j.earscirev.2018.08.004, 2018.
Istanbulluoglu, E. and Bras, R. L.: Vegetation-modulated landscape evolution:
Effects of vegetation on landscape processes, drainage density, and
topography, J. Geophys. Res.-Earth Surf., 110, F02012,
https://doi.org/10.1029/2004JF000249, 2005.
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, https://www.ecologyandsociety.org/vol16/iss1/art46/, 2011.
Jones, N. A., Ross, H., Lynam, T., and Perez, P.: Eliciting mental models: a
comparison of interview procedures in the context of natural resource
management, Ecol. Soc., 19, 13,
https://doi.org/10.5751/ES-06248-190113, 2014.
Kearney, A. and Kaplan, S.: Toward a Methodology for the Measurement of
Knowledge Structures of Ordinary People, Environ. Behav., 29,
579–617, 1997.
Keesstra, S., Nunes, J. P., Saco, P., Parsons, T., Poeppl, R., Masselink, R.,
and
Cerdà, A.: The way forward: Can connectivity be useful to design better
measuring and modelling schemes for water and sediment dynamics?, Sci.
Total Environ., 644, 1557–1572,
https://doi.org/10.1016/j.scitotenv.2018.06.342, 2018.
Kolkman, M. J., Kok, M., and van der Veen, A.: Mental model mapping as a new
tool to analyse the use of information in decision-making in integrated
water management, Phys. Chem. Earth, 30, 317–332,
https://doi.org/10.1016/j.pce.2005.01.002, 2005.
Krueger, T., Maynard, C., Carr, G., Bruns, A., Mueller, E. N., and Lane, S.: A
transdisciplinary account of water research, Wiley Interdisciplinary
Reviews: Water, 3, 369–389, https://doi.org/10.1002/wat2.1132, 2016.
Leibowitz, S. G., Wigington, P. J., Rains, M. C., and Downing, D. M.: Non-navigable
streams and adjacent wetlands: Addressing science needs following the
supreme court's rapanos decision, Front. Ecol. Environ.,
6, 366–373, https://doi.org/10.1890/070068, 2008.
Ludwig, J. A., Bastin, G. N., Chewings, V. H., Eager, R. W., and Liedloff, A.
C.:
Leakiness: a new index for monitoring the health of arid and semiarid
landscapes using remotely sensed vegetation cover and elevation data, Ecol.
Indic., 7, 442–454, https://doi.org/10.1016/j.ecolind.2006.05.001, 2007.
Lynam, T. and Brown, K.: Mental Models in Human-Environment Interactions:
Theory, Policy Implications, and Methodological Explorations, Ecol.
Soc., 17, 3, https://doi.org/10.5751/ES-04257-170324, 2012.
Lynam, T., Mathevet, R., Etienne, M., Stone-Jovicich, S., Leitch, A., Jones,
N., Ross, H., Du Toit, D., Pollard, S., Biggs, H., and Perez, P.: Waypoints
on a Journey of Discovery: Mental Models in Human-Environment Interactions,
Ecol. Soc., 17, 3, https://doi.org/10.5751/ES-05118-170323, 2012.
Manjunath, K. and Mohan, M. R.: A new hybrid multi-objective quick service
restoration technique for electric power distribution systems, Int.
J. Electrical Power & Energy Systems, 29, 51–64,
https://doi.org/10.1016/j.ijepes.2005.12.012, 2007.
Mohammed, S., Klimoski, R., and Rentsch, J. R.: The Measurement of Team Mental
Models: We Have No Shared Schema, Organizational Research Methods, 3,
123–165, https://doi.org/10.1177/109442810032001, 2000.
Mueller, E. N., Wainwright, J., and Parsons, A. J.: The stability of vegetation
boundaries and the propagation of desertification in the American Southwest:
A modelling approach, Ecol. Model., 208, 91–101,
https://doi.org/10.1016/j.ecolmodel.2007.04.010, 2007.
Mykura, N. ST4120: Somerset Levels Lower Burrow and flooding on West Moor,
available at: http://www.geograph.org.uk/photo/1136561 (last access: 22
August 2018), 2018.
Nadeau, T. L. and Rains, M. C.: Hydrological connectivity between headwater
streams and downstream waters: How science can inform policy, J. Am. Water Res. Assoc., 43,
118–133,
https://doi.org/10.1111/j.1752-1688.2007.00010.x, 2007.
Neumann, R. B. and Cardon, Z. G.: The magnitude of hydraulic redistribution
by plant roots: a review and synthesis of empirical and modelling studies,
New Phytol., 194, 337–352,
https://doi.org/10.1111/j.1469-8137.2012.04088.x, 2012.
Öberg, G.: Interdisciplinary Environmental Studies: A Primer.
Wiley-Blackwell, 184 pp., 2011.
Pahl-Wostl, C. and Hare, M.: Processes of social learning in integrated
resources management, J. Comm. Appl. Soc. Psychol.,
14, 193–206, https://doi.org/10.1002/casp.774, 2004.
Prager, K. and Curfs, M.: Using mental models to understand soil management,
Soil Use Manage. 32, 36–44, https://doi.org/10.1111/sum.12244, 2016.
Parsons, A. J., Bracken, L., Poeppl, R. E., Wainwright, J., and Keesstra, S.
D.: Introduction to special issue on connectivity in water and sediment
dynamics, Earth Surf. Process. Land., 40, 1275–1277,
https://doi.org/10.1002/esp.3714, 2015.
Poeppl, R. E. and Parsons, A. J.: The geomorphic cell: a basis for studying
connectivity, Earth Surf. Process. Land., 43, 1155–1159,
https://doi.org/10.1002/esp.4300, 2017.
Prieto, I., Armas, C., and Pugnaire, F. I.: Water release through plant
roots: new insights into its consequences at the plant and ecosystem level,
New Phytol., 193, 830–841,
https://doi.org/10.1111/j.1469-8137.2011.04039.x, 2012.
Smetanová, A. and Dąbrowska, K.: Language of geomorphology,
XII EGEA Eastern Regional Congress 2009, Jastrzebia Gora (31.3–4.4.2009),
EGEA Warsaw & Warsaw university, 32–37, 2009.
Smetanová, A., Paton, E., Maynard, C., Tindale, S., Fernández-Getino,
S. P., Marqéus Pérez, M. J., Bracken, L., Le Bissonnais, Y., and
Keesstra, S. D.: Stakeholders' perception of the relevance of water and
sediment connectivity in water and land management, Land Degrad.
Develop., 29, 1833–1844, https://doi.org/10.1002/ldr.2934, 2018.
Stam, C. J., van Straaten, E. C. W., Van Dellen, E., Tewarie, P., Gong, G.,
Hillebrand, A., Meier, J., and Van Mieghem, P.: The relation between
structural and functional connectivity patterns in complex brain networks,
Int. J. Psychophysiol., 103, 149–160,
https://doi.org/10.1016/j.ijpsycho.2015.02.011, 2016.
Tannier, C., Bourgeois, M., Houot, H., and Foltête, J. C.: Impact of urban
developments on the functional connectivity of forested habitats: a joint
contribution of advanced urban models and landscape graphs, Land Use Policy,
52, 76–91, https://doi.org/10.1016/j.landusepol.2015.12.002, 2016.
Thomson Klein, J. T.: Interdisciplinary teamwork: The Dynamics of
collaboration and integration, in: Interdisciplinary collaboration: An
emerging cognitive science, edited by: Derry, S., Schunn, C. D., and
Gernsbacher, M. A., Mahwah: Erlbaum, 23–50, 2005.
Turnbull, L., Hütt, M.-T., Ioannides, A. A., Kininmonth, S., Poeppl, R.,
Tockner, K., Bracken, L. J., Keesstra, S., Liu, L., Masselink, R., and
Parsons, A. J.: Connectivity and complex systems: learning from a
multi-disciplinary perspective, Appl. Network Sci., 3, 11,
https://doi.org/10.1007/s41109-018-0067-2, 2018.
van den Bossche, P., Gijselaers, W., and Segers, M.: Team learning: building
shared mental models, Instructional Science, 39, 283,
https://doi.org/10.1007/s11251-010-9128-3, 2011.
Vericat, D.: Disconnecting sediment and water fluxes, available at:
http://connecteur.info/connecteur-image-archive/ (last access: 22
August 2018), 2015.
Wainwright, J., Turnbull, L., Ibrahim, T. G., Lexartza-Artza, I., Thomton, S.
F., and Brazier, R. E.: Linking Environmental Régimes, Space and Time:
Interpretations of Structural and Functional Connectivity, Geomorphology,
126, 387–404, https://doi.org/10.1016/j.geomorph.2010.07.027, 2011.
Short summary
We reviewed research perspectives and ambitions of connectivity scientists in order to improve joint connectivity research across disciplinary boundaries. We demonstrated the wide diversity of approaching science in the community. We introduced a shared mental model approach with an exploratory case study as a way to overcome persistent barriers in understanding by identifying gaps and overlaps of individual researchers' perspectives, which improves collaboration in interdisciplinary science.
We reviewed research perspectives and ambitions of connectivity scientists in order to improve...
