Articles | Volume 24, issue 6
https://doi.org/10.5194/hess-24-3111-2020
© Author(s) 2020. 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-24-3111-2020
© Author(s) 2020. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Research article
| 
17 Jun 2020
Research article |
| 17 Jun 2020
| 17 Jun 2020
Crossing hydrological and geochemical modeling to understand the spatiotemporal variability of water chemistry in a headwater catchment (Strengbach, France)
Julien Ackerer
CORRESPONDING AUTHOR
Laboratoire d'Hydrologie et de Géochimie de Strasbourg, Université de Strasbourg, CNRS, ENGEES, 1 rue Blessig, 67084 Strasbourg CEDEX, France
Benjamin Jeannot
CORRESPONDING AUTHOR
Laboratoire d'Hydrologie et de Géochimie de Strasbourg, Université de Strasbourg, CNRS, ENGEES, 1 rue Blessig, 67084 Strasbourg CEDEX, France
Frederick Delay
CORRESPONDING AUTHOR
Laboratoire d'Hydrologie et de Géochimie de Strasbourg, Université de Strasbourg, CNRS, ENGEES, 1 rue Blessig, 67084 Strasbourg CEDEX, France
Sylvain Weill
Laboratoire d'Hydrologie et de Géochimie de Strasbourg, Université de Strasbourg, CNRS, ENGEES, 1 rue Blessig, 67084 Strasbourg CEDEX, France
Yann Lucas
Laboratoire d'Hydrologie et de Géochimie de Strasbourg, Université de Strasbourg, CNRS, ENGEES, 1 rue Blessig, 67084 Strasbourg CEDEX, France
Bertrand Fritz
Laboratoire d'Hydrologie et de Géochimie de Strasbourg, Université de Strasbourg, CNRS, ENGEES, 1 rue Blessig, 67084 Strasbourg CEDEX, France
Daniel Viville
Laboratoire d'Hydrologie et de Géochimie de Strasbourg, Université de Strasbourg, CNRS, ENGEES, 1 rue Blessig, 67084 Strasbourg CEDEX, France
François Chabaux
CORRESPONDING AUTHOR
Laboratoire d'Hydrologie et de Géochimie de Strasbourg, Université de Strasbourg, CNRS, ENGEES, 1 rue Blessig, 67084 Strasbourg CEDEX, France
Related authors
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David Luttenauer, Aronne Dell'Oca, Alberto Guadagnini, Sylvain Weill, and Philippe Ackerer
Hydrol. Earth Syst. Sci. Discuss., https://doi.org/10.5194/hess-2024-73, https://doi.org/10.5194/hess-2024-73, 2024
Preprint under review for HESS
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Land Surface Model outputs (evaporation, transpiration, groundwater recharge) are influenced by uncertain parameters. Global sensitivity metrics provide a ranking of the importance of uncertain factors. Evaporation is directly influenced by the net radiation and by the parameters associated with the top litter layer. Transpiration appears as mainly influenced by the vegetation characteristics and by albedo. Groundwater recharge is influenced mainly by soil-related parameters.
Benjamin Jeannot, Sylvain Weill, David Eschbach, Laurent Schmitt, and Frederick Delay
Hydrol. Earth Syst. Sci., 23, 239–254, https://doi.org/10.5194/hess-23-239-2019, https://doi.org/10.5194/hess-23-239-2019, 2019
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A hydrological model is used in combination with thermal measurements to investigate the effect of restoration actions in an artificial island of the Upper Rhine river. The injection of water in a newly built channel is efficient as it enhances overall hydrologic dynamics of the system with possible benefits for water quality and biodiversity. The combined use of the model and thermal measurements is also proven to be a relevant tool to study the effect of restoration on hydrological systems.
Antoine Cogez, Frédéric Herman, Éric Pelt, Thierry Reuschlé, Gilles Morvan, Christopher M. Darvill, Kevin P. Norton, Marcus Christl, Lena Märki, and François Chabaux
Earth Surf. Dynam., 6, 121–140, https://doi.org/10.5194/esurf-6-121-2018, https://doi.org/10.5194/esurf-6-121-2018, 2018
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Sediments produced by glaciers are transported by rivers and wind toward the ocean. During their journey, these sediments are weathered, and we know that this has an impact on climate. One key factor is time, but the duration of this journey is largely unknown. We were able to measure the average time that sediment spends only in the glacial area. This time is 100–200 kyr, which is long and allows a lot of processes to act on sediments during their journey.
M. C. Pierret, P. Stille, J. Prunier, D. Viville, and F. Chabaux
Hydrol. Earth Syst. Sci., 18, 3969–3985, https://doi.org/10.5194/hess-18-3969-2014, https://doi.org/10.5194/hess-18-3969-2014, 2014
Related subject area
Subject: Catchment hydrology | Techniques and Approaches: Modelling approaches
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
Catchment response to climatic variability: implications for root zone storage and streamflow predictions
Hybrid hydrological modeling for large alpine basins: a semi-distributed approach
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?
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
Assessing the impact of climate change on high return levels of peak flows in Bavaria applying the CRCM5 large ensemble
Impacts of climate and land surface change on catchment evapotranspiration and runoff from 1951 to 2020 in Saxony, Germany
Quantifying and reducing flood forecast uncertainty by the CHUP-BMA method
Developing a tile drainage module for the Cold Regions Hydrological Model: lessons from a farm in southern Ontario, Canada
To bucket or not to bucket? Analyzing the performance and interpretability of hybrid hydrological models with dynamic parameterization
Widespread flooding dynamics under climate change: characterising floods using grid-based hydrological modelling and regional climate projections
HESS Opinions: The sword of Damocles of the impossible flood
Metamorphic testing of machine learning and conceptual hydrologic models
The influence of human activities on streamflow reductions during the megadrought in central Chile
Elevational control of isotopic composition and application in understanding hydrologic processes in the mid Merced River catchment, Sierra Nevada, California, USA
Lack of robustness of hydrological models: A large-sample diagnosis and an attempt to identify the hydrological and climatic drivers
The Significance of the Leaf-Area-Index on the Evapotranspiration Estimation in SWAT-T for Characteristic Land Cover Types of Western Africa
Enhancing long short-term memory (LSTM)-based streamflow prediction with a spatially distributed approach
Broadleaf afforestation impacts on terrestrial hydrology insignificant compared to climate change in Great Britain
Impacts of spatiotemporal resolutions of precipitation on flood event simulation based on multimodel structures – a case study over the Xiang River basin in China
A network approach for multiscale catchment classification using traits
Multi-model approach in a variable spatial framework for streamflow simulation
Advancing understanding of lake–watershed hydrology: a fully coupled numerical model illustrated by Qinghai Lake
Technical note: Testing the connection between hillslope-scale runoff fluctuations and streamflow hydrographs at the outlet of large river basins
Empirical stream thermal sensitivity cluster on the landscape according to geology and climate
Deep learning for monthly rainfall–runoff modelling: a large-sample comparison with conceptual models across Australia
A large-sample modelling approach towards integrating streamflow and evaporation data for the Spanish catchments
On optimization of calibrations of a distributed hydrological model with spatially distributed information on snow
Toward interpretable LSTM-based modeling of hydrological systems
Flow intermittence prediction using a hybrid hydrological modelling approach: influence of observed intermittence data on the training of a random forest model
What controls the tail behaviour of flood series: rainfall or runoff generation?
Learning Landscape Features from Streamflow with Autoencoders
Seasonal prediction of end-of-dry-season watershed behavior in a highly interconnected alluvial watershed in northern California
Glaciers determine the sensitivity of hydrological processes to perturbed climate in a large mountainous basin on the Tibetan Plateau
Leveraging gauge networks and strategic discharge measurements to aid the development of continuous streamflow records
On the need for physical constraints in deep learning rainfall–runoff projections under climate change: a sensitivity analysis to warming and shifts in potential evapotranspiration
Evaluation of hydrological models on small mountainous catchments: impact of the meteorological forcings
Projecting sediment export from two highly glacierized alpine catchments under climate change: exploring non-parametric regression as an analysis tool
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.
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.
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.
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.
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.
Florian Willkofer, Raul R. Wood, and Ralf Ludwig
Hydrol. Earth Syst. Sci., 28, 2969–2989, https://doi.org/10.5194/hess-28-2969-2024, https://doi.org/10.5194/hess-28-2969-2024, 2024
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Severe flood events pose a threat to riverine areas, yet robust estimates of the dynamics of these events in the future due to climate change are rarely available. Hence, this study uses data from a regional climate model, SMILE, to drive a high-resolution hydrological model for 98 catchments of hydrological Bavaria and exploits the large database to derive robust values for the 100-year flood events. Results indicate an increase in frequency and intensity for most catchments in the future.
Maik Renner and Corina Hauffe
Hydrol. Earth Syst. Sci., 28, 2849–2869, https://doi.org/10.5194/hess-28-2849-2024, https://doi.org/10.5194/hess-28-2849-2024, 2024
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Climate and land surface changes influence the partitioning of water balance components decisively. Their impact is quantified for 71 catchments in Saxony. Germany. Distinct signatures in the joint water and energy budgets are found: (i) past forest dieback caused a decrease in and subsequent recovery of evapotranspiration in the affected regions, and (ii) the recent shift towards higher aridity imposed a large decline in runoff that has not been seen in the observation records before.
Zhen Cui, Shenglian Guo, Hua Chen, Dedi Liu, Yanlai Zhou, and Chong-Yu Xu
Hydrol. Earth Syst. Sci., 28, 2809–2829, https://doi.org/10.5194/hess-28-2809-2024, https://doi.org/10.5194/hess-28-2809-2024, 2024
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Ensemble forecasting facilitates reliable flood forecasting and warning. This study couples the copula-based hydrologic uncertainty processor (CHUP) with Bayesian model averaging (BMA) and proposes the novel CHUP-BMA method of reducing inflow forecasting uncertainty of the Three Gorges Reservoir. The CHUP-BMA avoids the normal distribution assumption in the HUP-BMA and considers the constraint of initial conditions, which can improve the deterministic and probabilistic forecast performance.
Mazda Kompanizare, Diogo Costa, Merrin L. Macrae, John W. Pomeroy, and Richard M. Petrone
Hydrol. Earth Syst. Sci., 28, 2785–2807, https://doi.org/10.5194/hess-28-2785-2024, https://doi.org/10.5194/hess-28-2785-2024, 2024
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A new agricultural tile drainage module was developed in the Cold Region Hydrological Model platform. Tile flow and water levels are simulated by considering the effect of capillary fringe thickness, drainable water and seasonal regional groundwater dynamics. The model was applied to a small well-instrumented farm in southern Ontario, Canada, where there are concerns about the impacts of agricultural drainage into Lake Erie.
Eduardo Acuña Espinoza, Ralf Loritz, Manuel Álvarez Chaves, Nicole Bäuerle, and Uwe Ehret
Hydrol. Earth Syst. Sci., 28, 2705–2719, https://doi.org/10.5194/hess-28-2705-2024, https://doi.org/10.5194/hess-28-2705-2024, 2024
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Hydrological hybrid models promise to merge the performance of deep learning methods with the interpretability of process-based models. One hybrid approach is the dynamic parameterization of conceptual models using long short-term memory (LSTM) networks. We explored this method to evaluate the effect of the flexibility given by LSTMs on the process-based part.
Adam Griffin, Alison L. Kay, Paul Sayers, Victoria Bell, Elizabeth Stewart, and Sam Carr
Hydrol. Earth Syst. Sci., 28, 2635–2650, https://doi.org/10.5194/hess-28-2635-2024, https://doi.org/10.5194/hess-28-2635-2024, 2024
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Widespread flooding is a major problem in the UK and is greatly affected by climate change and land-use change. To look at how widespread flooding changes in the future, climate model data (UKCP18) were used with a hydrological model (Grid-to-Grid) across the UK, and 14 400 events were identified between two time slices: 1980–2010 and 2050–2080. There was a strong increase in the number of winter events in the future time slice and in the peak return periods.
Alberto Montanari, Bruno Merz, and Günter Blöschl
Hydrol. Earth Syst. Sci., 28, 2603–2615, https://doi.org/10.5194/hess-28-2603-2024, https://doi.org/10.5194/hess-28-2603-2024, 2024
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Floods often take communities by surprise, as they are often considered virtually
impossibleyet are an ever-present threat similar to the sword suspended over the head of Damocles in the classical Greek anecdote. We discuss four reasons why extremely large floods carry a risk that is often larger than expected. We provide suggestions for managing the risk of megafloods by calling for a creative exploration of hazard scenarios and communicating the unknown corners of the reality of floods.
Peter Reichert, Kai Ma, Marvin Höge, Fabrizio Fenicia, Marco Baity-Jesi, Dapeng Feng, and Chaopeng Shen
Hydrol. Earth Syst. Sci., 28, 2505–2529, https://doi.org/10.5194/hess-28-2505-2024, https://doi.org/10.5194/hess-28-2505-2024, 2024
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We compared the predicted change in catchment outlet discharge to precipitation and temperature change for conceptual and machine learning hydrological models. We found that machine learning models, despite providing excellent fit and prediction capabilities, can be unreliable regarding the prediction of the effect of temperature change for low-elevation catchments. This indicates the need for caution when applying them for the prediction of the effect of climate change.
Nicolás Álamos, Camila Alvarez-Garreton, Ariel Muñoz, and Álvaro González-Reyes
Hydrol. Earth Syst. Sci., 28, 2483–2503, https://doi.org/10.5194/hess-28-2483-2024, https://doi.org/10.5194/hess-28-2483-2024, 2024
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In this study, we assess the effects of climate and water use on streamflow reductions and drought intensification during the last 3 decades in central Chile. We address this by contrasting streamflow observations with near-natural streamflow simulations. We conclude that while the lack of precipitation dominates streamflow reductions in the megadrought, water uses have not diminished during this time, causing a worsening of the hydrological drought conditions and maladaptation conditions.
Fengjing Liu, Martha H. Conklin, and Glenn D. Shaw
Hydrol. Earth Syst. Sci., 28, 2239–2258, https://doi.org/10.5194/hess-28-2239-2024, https://doi.org/10.5194/hess-28-2239-2024, 2024
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Mountain snowpack has been declining and more precipitation falls as rain than snow. Using stable isotopes, we found flows and flow duration in Yosemite Creek are most sensitive to climate warming due to strong evaporation of waterfalls, potentially lengthening the dry-up period of waterfalls in summer and negatively affecting tourism. Groundwater recharge in Yosemite Valley is primarily from the upper snow–rain transition (2000–2500 m) and very vulnerable to a reduction in the snow–rain ratio.
Léonard Santos, Vazken Andréassian, Torben O. Sonnenborg, Göran Lindström, Alban de Lavenne, Charles Perrin, Lila Collet, and Guillaume Thirel
Hydrol. Earth Syst. Sci. Discuss., https://doi.org/10.5194/hess-2024-80, https://doi.org/10.5194/hess-2024-80, 2024
Revised manuscript accepted for HESS
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This work aims at investigating how hydrological models can be transferred to a period in which climatic conditions are different to the ones of the period in which it was set up. The RAT method, built to detect dependencies between model error and climatic drivers, was applied to 3 different hydrological models on 352 catchments in Denmark, France and Sweden. Potential issues are detected for a significant number of catchments for the 3 models even though these catchments differ for each model.
Fabian Merk, Timo Schaffhauser, Faizan Anwar, Ye Tuo, Jean-Martial Cohard, and Markus Disse
Hydrol. Earth Syst. Sci. Discuss., https://doi.org/10.5194/hess-2024-131, https://doi.org/10.5194/hess-2024-131, 2024
Revised manuscript accepted for HESS
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ET is computed from vegetation (plant transpiration) and soil (soil evaporation). In Western Africa, plant transpiration correlates with vegetation growth. Vegetation is often represented with the leaf-area-index (LAI). In this study, we evaluate the importance of LAI for the ET calculation. We take a close look at the LAI-ET interaction and show the relevance to consider both, LAI and ET. Our work contributes to the understanding of the processes of the terrestrial water cycle.
Qiutong Yu, Bryan A. Tolson, Hongren Shen, Ming Han, Juliane Mai, and Jimmy Lin
Hydrol. Earth Syst. Sci., 28, 2107–2122, https://doi.org/10.5194/hess-28-2107-2024, https://doi.org/10.5194/hess-28-2107-2024, 2024
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It is challenging to incorporate input variables' spatial distribution information when implementing long short-term memory (LSTM) models for streamflow prediction. This work presents a novel hybrid modelling approach to predict streamflow while accounting for spatial variability. We evaluated the performance against lumped LSTM predictions in 224 basins across the Great Lakes region in North America. This approach shows promise for predicting streamflow in large, ungauged basin.
Marcus Buechel, Louise Slater, and Simon Dadson
Hydrol. Earth Syst. Sci., 28, 2081–2105, https://doi.org/10.5194/hess-28-2081-2024, https://doi.org/10.5194/hess-28-2081-2024, 2024
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Afforestation has been proposed internationally, but the hydrological implications of such large increases in the spatial extent of woodland are not fully understood. In this study, we use a land surface model to simulate hydrology across Great Britain with realistic afforestation scenarios and potential climate changes. Countrywide afforestation minimally influences hydrology, when compared to climate change, and reduces low streamflow whilst not lowering the highest flows.
Qian Zhu, Xiaodong Qin, Dongyang Zhou, Tiantian Yang, and Xinyi Song
Hydrol. Earth Syst. Sci., 28, 1665–1686, https://doi.org/10.5194/hess-28-1665-2024, https://doi.org/10.5194/hess-28-1665-2024, 2024
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Input data, model and calibration strategy can affect the accuracy of flood event simulation and prediction. Satellite-based precipitation with different spatiotemporal resolutions is an important input source. Data-driven models are sometimes proven to be more accurate than hydrological models. Event-based calibration and conventional strategy are two options adopted for flood simulation. This study targets the three concerns for accurate flood event simulation and prediction.
Fabio Ciulla and Charuleka Varadharajan
Hydrol. Earth Syst. Sci., 28, 1617–1651, https://doi.org/10.5194/hess-28-1617-2024, https://doi.org/10.5194/hess-28-1617-2024, 2024
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We present a new method based on network science for unsupervised classification of large datasets and apply it to classify 9067 US catchments and 274 biophysical traits at multiple scales. We find that our trait-based approach produces catchment classes with distinct streamflow behavior and that spatial patterns emerge amongst pristine and human-impacted catchments. This method can be widely used beyond hydrology to identify patterns, reduce trait redundancy, and select representative sites.
Cyril Thébault, Charles Perrin, Vazken Andréassian, Guillaume Thirel, Sébastien Legrand, and Olivier Delaigue
Hydrol. Earth Syst. Sci., 28, 1539–1566, https://doi.org/10.5194/hess-28-1539-2024, https://doi.org/10.5194/hess-28-1539-2024, 2024
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Streamflow forecasting is useful for many applications, ranging from population safety (e.g. floods) to water resource management (e.g. agriculture or hydropower). To this end, hydrological models must be optimized. However, a model is inherently wrong. This study aims to analyse the contribution of a multi-model approach within a variable spatial framework to improve streamflow simulations. The underlying idea is to take advantage of the strength of each modelling framework tested.
Lele Shu, Xiaodong Li, Yan Chang, Xianhong Meng, Hao Chen, Yuan Qi, Hongwei Wang, Zhaoguo Li, and Shihua Lyu
Hydrol. Earth Syst. Sci., 28, 1477–1491, https://doi.org/10.5194/hess-28-1477-2024, https://doi.org/10.5194/hess-28-1477-2024, 2024
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We developed a new model to better understand how water moves in a lake basin. Our model improves upon previous methods by accurately capturing the complexity of water movement, both on the surface and subsurface. Our model, tested using data from China's Qinghai Lake, accurately replicates complex water movements and identifies contributing factors of the lake's water balance. The findings provide a robust tool for predicting hydrological processes, aiding water resource planning.
Ricardo Mantilla, Morgan Fonley, and Nicolás Velásquez
Hydrol. Earth Syst. Sci., 28, 1373–1382, https://doi.org/10.5194/hess-28-1373-2024, https://doi.org/10.5194/hess-28-1373-2024, 2024
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Hydrologists strive to “Be right for the right reasons” when modeling the hydrologic cycle; however, the datasets available to validate hydrological models are sparse, and in many cases, they comprise streamflow observations at the outlets of large catchments. In this work, we show that matching streamflow observations at the outlet of a large basin is not a reliable indicator of a correct description of the small-scale runoff processes.
Lillian M. McGill, E. Ashley Steel, and Aimee H. Fullerton
Hydrol. Earth Syst. Sci., 28, 1351–1371, https://doi.org/10.5194/hess-28-1351-2024, https://doi.org/10.5194/hess-28-1351-2024, 2024
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This study examines the relationship between air and river temperatures in Washington's Snoqualmie and Wenatchee basins. We used classification and regression approaches to show that the sensitivity of river temperature to air temperature is variable across basins and controlled largely by geology and snowmelt. Findings can be used to inform strategies for river basin restoration and conservation, such as identifying climate-insensitive areas of the basin that should be preserved and protected.
Stephanie R. Clark, Julien Lerat, Jean-Michel Perraud, and Peter Fitch
Hydrol. Earth Syst. Sci., 28, 1191–1213, https://doi.org/10.5194/hess-28-1191-2024, https://doi.org/10.5194/hess-28-1191-2024, 2024
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To determine if deep learning models are in general a viable alternative to traditional hydrologic modelling techniques in Australian catchments, a comparison of river–runoff predictions is made between traditional conceptual models and deep learning models in almost 500 catchments spread over the continent. It is found that the deep learning models match or outperform the traditional models in over two-thirds of the river catchments, indicating feasibility in a wide variety of conditions.
Patricio Yeste, Matilde García-Valdecasas Ojeda, Sonia R. Gámiz-Fortis, Yolanda Castro-Díez, Axel Bronstert, and María Jesús Esteban-Parra
Hydrol. Earth Syst. Sci. Discuss., https://doi.org/10.5194/hess-2024-57, https://doi.org/10.5194/hess-2024-57, 2024
Revised manuscript accepted for HESS
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Integrating streamflow and evaporation data can help improve the physical realism of hydrologic models. In this work we investigate the capabilities of the Variable Infiltration Capacity (VIC) to reproduce both hydrologic variables for 189 headwater located in Spain. Results from sensitivity analysis indicate that adding two vegetation is enough to improve the representation of evaporation, and the performance of VIC exceeded that of the largest modelling effort currently available in Spain.
Dipti Tiwari, Mélanie Trudel, and Robert Leconte
Hydrol. Earth Syst. Sci., 28, 1127–1146, https://doi.org/10.5194/hess-28-1127-2024, https://doi.org/10.5194/hess-28-1127-2024, 2024
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Calibrating hydrological models with multi-objective functions enhances model robustness. By using spatially distributed snow information in the calibration, the model performance can be enhanced without compromising the outputs. In this study the HYDROTEL model was calibrated in seven different experiments, incorporating the SPAEF (spatial efficiency) metric alongside Nash–Sutcliffe efficiency (NSE) and root-mean-square error (RMSE), with the aim of identifying the optimal calibration strategy.
Luis Andres De la Fuente, Mohammad Reza Ehsani, Hoshin Vijai Gupta, and Laura Elizabeth Condon
Hydrol. Earth Syst. Sci., 28, 945–971, https://doi.org/10.5194/hess-28-945-2024, https://doi.org/10.5194/hess-28-945-2024, 2024
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Long short-term memory (LSTM) is a widely used machine-learning model in hydrology, but it is difficult to extract knowledge from it. We propose HydroLSTM, which represents processes like a hydrological reservoir. Models based on HydroLSTM perform similarly to LSTM while requiring fewer cell states. The learned parameters are informative about the dominant hydrology of a catchment. Our results show how parsimony and hydrological knowledge extraction can be achieved by using the new structure.
Louise Mimeau, Annika Künne, Flora Branger, Sven Kralisch, Alexandre Devers, and Jean-Philippe Vidal
Hydrol. Earth Syst. Sci., 28, 851–871, https://doi.org/10.5194/hess-28-851-2024, https://doi.org/10.5194/hess-28-851-2024, 2024
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Modelling flow intermittence is essential for predicting the future evolution of drying in river networks and better understanding the ecological and socio-economic impacts. However, modelling flow intermittence is challenging, and observed data on temporary rivers are scarce. This study presents a new modelling approach for predicting flow intermittence in river networks and shows that combining different sources of observed data reduces the model uncertainty.
Elena Macdonald, Bruno Merz, Björn Guse, Viet Dung Nguyen, Xiaoxiang Guan, and Sergiy Vorogushyn
Hydrol. Earth Syst. Sci., 28, 833–850, https://doi.org/10.5194/hess-28-833-2024, https://doi.org/10.5194/hess-28-833-2024, 2024
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In some rivers, the occurrence of extreme flood events is more likely than in other rivers – they have heavy-tailed distributions. We find that threshold processes in the runoff generation lead to such a relatively high occurrence probability of extremes. Further, we find that beyond a certain return period, i.e. for rare events, rainfall is often the dominant control compared to runoff generation. Our results can help to improve the estimation of the occurrence probability of extreme floods.
Alberto Bassi, Marvin Höge, Antonietta Mira, Fabrizio Fenicia, and Carlo Albert
Hydrol. Earth Syst. Sci. Discuss., https://doi.org/10.5194/hess-2024-47, https://doi.org/10.5194/hess-2024-47, 2024
Revised manuscript accepted for HESS
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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 needed for challenging cases, associated with aridity and intermittent flow. Baseflow index, aridity, and soil/vegetation attributes strongly correlate with learned features, indicating their importance for streamflow prediction.
Claire Kouba and Thomas Harter
Hydrol. Earth Syst. Sci., 28, 691–718, https://doi.org/10.5194/hess-28-691-2024, https://doi.org/10.5194/hess-28-691-2024, 2024
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In some watersheds, the severity of the dry season has a large impact on aquatic ecosystems. In this study, we design a way to predict, 5–6 months in advance, how severe the dry season will be in a rural watershed in northern California. This early warning can support seasonal adaptive management. To predict these two values, we assess data about snow, rain, groundwater, and river flows. We find that maximum snowpack and total wet season rainfall best predict dry season severity.
Yi Nan and Fuqiang Tian
Hydrol. Earth Syst. Sci., 28, 669–689, https://doi.org/10.5194/hess-28-669-2024, https://doi.org/10.5194/hess-28-669-2024, 2024
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This paper utilized a tracer-aided model validated by multiple datasets in a large mountainous basin on the Tibetan Plateau to analyze hydrological sensitivity to climate change. The spatial pattern of the local hydrological sensitivities and the influence factors were analyzed in particular. The main finding of this paper is that the local hydrological sensitivity in mountainous basins is determined by the relationship between the glacier area ratio and the mean annual precipitation.
Michael J. Vlah, Matthew R. V. Ross, Spencer Rhea, and Emily S. Bernhardt
Hydrol. Earth Syst. Sci., 28, 545–573, https://doi.org/10.5194/hess-28-545-2024, https://doi.org/10.5194/hess-28-545-2024, 2024
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Virtual stream gauging enables continuous streamflow estimation where a gauge might be difficult or impractical to install. We reconstructed flow at 27 gauges of the National Ecological Observatory Network (NEON), informing ~199 site-months of missing data in the official record and improving that accuracy of official estimates at 11 sites. This study shows that machine learning, but also routine regression methods, can be used to supplement existing gauge networks and reduce monitoring costs.
Sungwook Wi and Scott Steinschneider
Hydrol. Earth Syst. Sci., 28, 479–503, https://doi.org/10.5194/hess-28-479-2024, https://doi.org/10.5194/hess-28-479-2024, 2024
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We investigate whether deep learning (DL) models can produce physically plausible streamflow projections under climate change. We address this question by focusing on modeled responses to increases in temperature and potential evapotranspiration and by employing three DL and three process-based hydrological models. The results suggest that physical constraints regarding model architecture and input are necessary to promote the physical realism of DL hydrological projections under climate change.
Guillaume Evin, Matthieu Le Lay, Catherine Fouchier, David Penot, Francois Colleoni, Alexandre Mas, Pierre-André Garambois, and Olivier Laurantin
Hydrol. Earth Syst. Sci., 28, 261–281, https://doi.org/10.5194/hess-28-261-2024, https://doi.org/10.5194/hess-28-261-2024, 2024
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Hydrological modelling of mountainous catchments is challenging for many reasons, the main one being the temporal and spatial representation of precipitation forcings. This study presents an evaluation of the hydrological modelling of 55 small mountainous catchments of the northern French Alps, focusing on the influence of the type of precipitation reanalyses used as inputs. These evaluations emphasize the added value of radar measurements, in particular for the reproduction of flood events.
Lena Katharina Schmidt, Till Francke, Peter Martin Grosse, and Axel Bronstert
Hydrol. Earth Syst. Sci., 28, 139–161, https://doi.org/10.5194/hess-28-139-2024, https://doi.org/10.5194/hess-28-139-2024, 2024
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How suspended sediment export from glacierized high-alpine areas responds to future climate change is hardly assessable as many interacting processes are involved, and appropriate physical models are lacking. We present the first study, to our knowledge, exploring machine learning to project sediment export until 2100 in two high-alpine catchments. We find that uncertainties due to methodological limitations are small until 2070. Negative trends imply that peak sediment may have already passed.
Cited articles
Acker, J. G. and Bricker, O. P.: The influence of pH on biotite dissolution
and alteration kinetics at low temperature, Geochim. Cosmochim. Ac., 56, 3073–3092, 1992.
Ackerer, J., Chabaux, F., Van der Woerd, J., Viville, D., Pelt, E., Kali,
E., Lerouge, C., Ackerer, P., Di Chiara Roupert, R., and Négrel, P.:
Regolith evolution on the millennial timescale from combined U–Th–Ra
isotopes and in situ cosmogenic 10Be analysis in a weathering profile
(Strengbach catchment, France), Earth Planet. Sc. Lett., 453, 33–43, 2016.
Ackerer, J., Chabaux, F., Lucas, Y., Clément, A., Fritz, B., Beaulieu, E
Viville D., Pierret, M.C., Gangloff, S., and Négrel, P.: Monitoring and
reactive-transport modeling of the spatial and temporal variations of the
Strengbach spring hydrochemistry, Geochim. Cosmochim. Ac., 225, 17–35, 2018.
Ameli, A. A., Beven, K., Erlandsson, M., Creed, I. F., McDonnell, J. J., and
Bishop, K.: Primary weathering rates, water transit times, and
concentration-discharge relations: A theoretical analysis for the critical
zone, Water Resour. Res., 53, 942–960, 2017.
Amrhein, C. and Suarez, D. L.: Some factors affecting the dissolution
kinetics of anorthite at 25 C, Geochim. Cosmochim. Ac., 56, 1815–1826, 1992.
Bao, C., Li, L., Shi, Y., and Duffy, C.: Understanding watershed
hydrogeochemistry: 1. Development of RT-Flux-PIHM, Water Resour. Res., 53, 2328–2345, 2017.
Beaulieu, E., Goddéris, Y., Donnadieu, Y., Labat, D., and Roelandt, C.:
High sensitivity of the continental-weathering carbon dioxide sink to future
climate change, Nat. Clim. Change, 2, 346–349, 2012.
Beaulieu, E., Lucas, Y., Viville, D., Chabaux, F., Ackerer, P.,
Goddéris, Y., and Pierret, M. C.: Hydrological and vegetation response
to climate change in a forested mountainous catchment, Modeling Earth Systems and Environment, 2, 1–15, 2016.
Beisman, J. J., Maxwell, R. M., Navarre-Sitchler, A. K., Steefel, C. I.,
and Molins, S.: ParCrunchFlow: an efficient, parallel reactive transport
simulation tool for physically and chemically heterogeneous saturated
subsurface environments, Computat. Geosci., 19, 403–422, 2015.
Berger, G., Cadore, E., Schott, J., and Dove, P. M.: Dissolution rate of
quartz in lead and sodium electrolyte solutions between 25 and 300 C: Effect
of the nature of surface complexes and reaction affinity, Geochim. Cosmochim. Ac., 58, 541–551, 1994.
Brantley, S. L. and Mellott, N. P.: Surface area and porosity of primary
silicate minerals, Am. Mineral., 85, 1767–1783, 2000.
Camporese, M., Paniconi, C., Putti, M., and Orlandini, S.: Surface-subsurface
flow modeling with path-based runoff routing, boundary condition-based
coupling, and assimilation of multisource observation data, Water Resour.
Res., 46, W02512, https://doi.org/10.1029/2008WR007536, 2010.
Chabaux, F., Viville, D., Lucas, Y., Ackerer, J., Ranchoux, C., Bosia, C,
Pierret, M.C., Labasque, T., Aquilina, L., Wyns, R., Lerouge, C., Dezaye, C., and Négrel, P.: Geochemical tracing and modeling of surface and deep
water–rock interactions in first-order granitic watersheds (Strengbach and
Ringelbach CZOs, France), Acta Geochim., 36, 363–366, 2017.
Chabaux, F., Stille, P., Prunier, J., Gangloff, S., Lemarchand, D., Morvan, G.,
Négrel, J., Pelt, E., Pierret, M. C., Rihs, S., Schmitt, A. D.,
Trémolières, T., and Viville, D.: Plant-soil-water interactions:
Implications from U-Th-Ra isotope analysis in soils, soil solutions and
vegetation (Strengbach CZO, France), Geochim. Cosmochim. Ac., 259, 188–210, 2019.
Chorover, J., Derry, L. A., and McDowell, W. H.: Concentration-Discharge
Relations in the Critical Zone: Implications for Resolving Critical Zone
Structure, Function, and Evolution, Water Resour. Res., 53, 8654–8659, 2017.
Chou, L. and Wollast, R.: Steady-state kinetics and dissolution mechanisms
of albite, Am. J. Sci., 285, 963–993, 1985.
Clow, D. W. and Mast, M. A.: Mechanisms for chemostatic behavior in
catchments: implications for CO2 consumption by mineral weathering, Chem. Geol., 269,
40–51, 2010.
Daval, D., Calvaruso, C., Guyot, F., and Turpault, M. P.: Time-dependent
feldspar dissolution rates resulting from surface passivation: Experimental
evidence and geochemical implications, Earth Planet. Sc. Lett., 498, 226–236, 2018.
Diamond, J. S. and Cohen, M. J.: Complex patterns of catchment
solute–discharge relationships for coastal plain rivers, Hydrol. Process., 32, 388–401, 2018.
Ebel, B. A. and Loague, K.: Physics-based hydrologic-response simulation:
Seeing through the fog of equifinality, Hydrol. Process., 20, 2887–2900, 2006.
El Gh'Mari, A.: Etude minéralogique, pétrophysique et géochimique de dynamique d'altération d'un granite soumis aux dépôts atmosphériques acides (bassin versant du Strengbach, Vosges, France). Mécanismes, bilans et modélisation, PhD Thesis, Université Louis Pasteur, Strasbourg, France, 200 pp., 1995.
Eyring, H.: The activated complex in chemical reactions, J. Chem. Phys., 3, 107–115, 1935.
Fichter, J., Turpault, M. P., Dambrine, E., and Ranger, J.: Mineral evolution
of acid forest soils in the Strengbach catchment (Vosges mountains, NE
France), Geoderma, 82, 315–340, 1998.
Fischer, C., Kurganskaya, I., Schäfer, T., and Lüttge, A.:
Variability of crystal surface reactivity: What do we know?, Appl. Geochem., 43, 132–157,
2014.
Gangloff, S., Stille, P., Pierret, M. C., Weber, T., and Chabaux, F.:
Characterization and evolution of dissolved organic matter in acidic forest
soil and its impact on the mobility of major and trace elements (case of the
Strengbach watershed), Geochim. Cosmochim. Ac., 130, 21–41, 2014.
Gangloff, S., Stille, P., Schmitt, A. D., and Chabaux F.: Factors controlling
the chemical composition of colloidal and dissolved fractions in soil
solutions and the mobility of trace elements in soils, Geochim. Cosmochim.
Ac., 189 37–57, 2016.
Gautier, J. M., Oelkers, E. H., and Schott, J.: Are quartz dissolution rates
proportional to BET surface areas?, Geochim. Cosmochim. Ac., 65, 1059–1070, 2001.
Gérard, F., Clément, A., and Fritz, B.: Numerical validation of a
Eulerian hydrochemical code using a 1D multisolute mass transport system
involving heterogeneous kinetically controlled reactions, J. Cont. Hydrol., 30, 201–216, 1998.
Gislason, S. R., Oelkers, E. H., Eiriksdottir, E. S., Kardjilov, M. I.,
Gisladottir, G., Sigfusson, B., Snorrason, A., Elefsen, S., Hardardottir,
J., Torssander, P., and Oskarsson, N.: Direct evidence of the feedback
between climate and weathering, Earth Planet. Sc. Lett., 277, 213–222, 2009.
Goddéris, Y., François, L. M., Probst, A., Schott, J., Moncoulon,
D., Labat, D., and Viville, D.: Modelling weathering processes at the
catchment scale: the WITCH numerical model, Geochim. Cosmochim. Ac., 70,
1128–1147, 2006.
Goddéris, Y., Brantley, S. L., François, L. M., Schott, J., Pollard, D., Déqué, M., and Dury, M.: Rates of consumption of atmospheric CO2 through the weathering of loess during the next 100 yr of climate change, Biogeosciences, 10, 135–148, https://doi.org/10.5194/bg-10-135-2013, 2013.
Godsey, S. E., Kirchner, J. W., and Clow, D. W.: Concentration–discharge
relationships reflect chemostatic characteristics of US catchments, Hydrol. Process., 23, 1844–1864, 2009.
Guidry, M. W. and Mackenzie, F. T.: Experimental study of igneous and
sedimentary apatite dissolution: control of pH, distance from equilibrium,
and temperature on dissolution rates, Geochim. Cosmochim. Ac., 67, 2949–2963, 2003.
Gunduz, O. and Aral, M. M.: River networks and groundwater flow: a
simultaneous solution of a coupled system, J. Hydrol., 301, 216–234, 2005.
Gupta, H. V., Kling, H., Yilmaz, K. K., and Martinez, G. F.: Decomposition of the
mean squared error and NSE performance criteria: Implications for improving
hydrological modelling, J. Hydrol., 377, 80–91, 2009.
Hazenberg, P., Broxton, P., Gochis, D., Niu, G. Y., Pangle, L. A., Pelletier, J. D., Troch, P. A., and Zeng, X.: Testing the hybrid-3-D hillslope
hydrological model in a controlled environment, Water Resour. Res., 52, 1089–1107, 2016.
Herndon, E. M., Steinhoefel, G., Dere, A. L., and Sullivan, P. L.:
Perennial flow through convergent hillslopes explains chemodynamic solute
behavior in a shale headwater catchment, Chem. Geol., 493, 413–425, 2018.
Jeannot, B., Weill, S., Eschbach, D., Schmitt, L., and Delay, F.: A
low-dimensional integrated subsurface hydrological model coupled with 2-D
overland flow: Application to a restored fluvial hydrosystem (Upper Rhine
River–France), J. Hydrol., 563, 495–509, 2018.
Kampf, S. K. and Burges, S. J.: A framework for classifying and comparing
distributed hillslope and catchment hydrologic models, Water Resour. Res., 43, W05423,
https://doi.org/10.1029/2006WR005370, 2007.
Kim, H., Dietrich, W. E., Thurnhoffer, B. M., Bishop, J. K., and Fung, I. Y.:
Controls on solute concentration-discharge relationships revealed by
simultaneous hydrochemistry observations of hillslope runoff and stream
flow: The importance of critical zone structure, Water Resour. Res., 53, 1424–1443, 2017.
Kirchner, J. W.: Getting the right answers for the right reasons: Linking
measurements, analyses, and models to advance the science of hydrology,
Water Resour. Res., 42, W03S04, https://doi.org/10.1029/2005WR004362, 2006.
Lebedeva, M. I. and Brantley, S. L.: Exploring geochemical controls on weathering and erosion of convex hillslopes: Beyond the empirical regolith
production function, Earth Surf. Proc. Land., 38, 1793–1807, 2013.
Li, D. D., Jacobson, A. D., and McInerney, D. J.: A reactive-transport model
for examining tectonic and climatic controls on chemical weathering and
atmospheric CO2 consumption in granitic regolith, Chem. Geol., 365, 30–42 2014.
Li, L., Peters, C. A., and Celia, M. A.: Upscaling geochemical reaction rates
using pore-scale network modeling, Adv. Water Resour., 29, 1351–1370, 2006.
Li, L., Bao, C., Sullivan, P. L., Brantley, S., Shi, Y., and Duffy, C.:
Understanding watershed hydrogeochemistry: 2. Synchronized hydrological and
geochemical processes drive stream chemostatic behavior, Water Resour. Res., 53, 2346–2367,
2017a.
Li, L., Maher, K., Navarre-Sitchler, A., Druhan, J., Meile, C., Lawrence, C., Moore, J., Perdrial, J., Sullivan, P., Thompson, A., Jin, L., Bolton, E., Brantley, S., Dietrich, W., Mayer, U., Steefel, C., Valocchi, A., Zachara, J., and Beisman, J.: Expanding the role of reactive transport models in
critical zone processes, Earth-Sci. Rev., 165, 280–301, 2017b.
Lucas, Y., Schmitt, A. D., Chabaux, F., Clément, A., Fritz, B., Elsass,
P., and Durand, S.: Geochemical tracing and hydrogeochemical modelling of
water–rock interactions during salinization of alluvial groundwater (Upper
Rhine Valley, France), Appl. Geochem., 25, 1644–1663, 2010.
Lucas, Y., Chabaux, F., Schaffhauser, T., Fritz, B., Ambroise, B., Ackerer,
J., and Clément, A.: Hydrogeochemical modeling (KIRMAT) of spring and
deep borehole water compositions in the small granitic Ringelbach catchment
(Vosges Mountains, France), Appl. Geochem., 87, 1–21, 2017.
Lundström, U. and Öhman, L. O.: Dissolution of feldspars in the
presence of natural, organic solutes, J. Soil Sci., 41, 359–369, 1990.
Maher, K.: The dependence of chemical weathering rates on fluid residence
time, Earth Planet. Sc. Lett., 294, 101–110, 2010.
Maher, K.: The role of fluid residence time and topographic scales in
determining chemical fluxes from landscapes, Earth Planet. Sc. Lett., 312, 48–58, 2011.
Maher, K., Steefel, C. I., White, A. F., and Stonestrom, D. A.: The role of
reaction affinity and secondary minerals in regulating chemical weathering
rates at the Santa Cruz Soil Chronosequence, California, Geochim. Cosmochim. Ac., 73, 2804–2831,
2009.
Mirus, B. B., Ebel, B. A., Heppner, C. S., and Loague, K.: Assessing the
detail needed to capture rainfall-runoff dynamics with physics-based
hydrologic response simulation, Water Resour. Res., 47, W00H10, https://doi.org/10.1029/2010WR009906, 2011.
Moore, J., Lichtner, P. C., White, A. F., and Brantley, S. L.: Using a
reactive transport model to elucidate differences between laboratory and
field dissolution rates in regolith, Geochim. Cosmochim. Ac., 93, 235–261, 2012.
Murphy, W. M. and Helgeson, H. C.: Thermodynamic and kinetic constraints on
reaction rates among minerals and aqueous solutions. III. Activated
complexes and the pH-dependence of the rates of feldspar, pyroxene,
wollastonite, and olivine hydrolysis, Geochim. Cosmochim. Ac., 51, 3137–3153, 1987.
Musolff, A., Schmidt, C., Selle, B., and Fleckenstein, J. H.: Catchment controls on solute export, Adv. Water Resour., 86, 133–146, 2015.
Nagy, K. L., White, A. F., and Brantley, S. L.: Chemical weathering rates of
silicate minerals, Mineralogical Society of America, Washington, D.C., USA, 1995.
Navarre-Sitchler, A. and Brantley, S.: Basalt weathering across scales,
Earth Planet. Sc. Lett., 261, 321–334, 2007.
Navarre-Sitchler, A., Steefel, C. I., Yang, L., Tomutsa, L., and Brantley, S.
L.: Evolution of porosity and diffusivity associated with chemical
weathering of a basalt clast, J. Geophys. Res.-Earth, 114, F02016, https://doi.org/10.1029/2008JF001060, 2009.
Ngo, V. V., Delalande, M., Clément, A., Michau, N., and Fritz, B.:
Coupled transport-reaction modeling of the long-term interaction between
iron, bentonite and Callovo-Oxfordian claystone in radioactive waste
confinement systems, Appl. Clay Sci., 101, 430–443, 2014.
Pan, Y., Weill, S., Ackerer, P., and Delay, F.: A coupled stream flow and
depth-integrated subsurface flow model for catchment hydrology, J. Hydrol., 530, 66–78,
2015.
Pierret, M. C., Stille, P., Prunier, J., Viville, D., and Chabaux, F.: Chemical and U–Sr isotopic variations in stream and source waters of the Strengbach watershed (Vosges mountains, France), Hydrol. Earth Syst. Sci., 18, 3969–3985, https://doi.org/10.5194/hess-18-3969-2014, 2014.
Pierret, M. C., Cotel, S., Ackerer, P., Beaulieu, E., Benarioumlil, S., Boucher, M., Boutin, R., Chabaux, F., Delay, F., Fourtet, C., Friedmann, P., Fritz, B., Gangloff, S., Girard, J. F., Legtchenko, A., Viville, D., Weill, S., and Probst, A.: The Strengbach catchment: A
multidisciplinary environmental sentry for 30 years, Vadose Zone J., 17, 180090, https://doi.org/10.2136/vzj2018.04.0090, 2018.
Pollet-Villard, M., Daval, D., Ackerer, P., Saldi, G. D., Wild, B., Knauss,
K. G., and Fritz, B.: Does crystallographic anisotropy prevent the
conventional treatment of aqueous mineral reactivity? A case study based on
K-feldspar dissolution kinetics, Geochim. Cosmochim. Ac., 190, 294–308, 2016.
Prunier, J., Chabaux, F., Stille, P., Gangloff, S., Pierret, M. C., Viville,
D., and Aubert, A.: Geochemical and isotopic (Sr, U) monitoring of soil
solutions from the Strengbach catchment (Vosges mountains, France): Evidence
for recent weathering evolution, Chem. Geol., 417, 289–305, 2015.
Schaffhauser, T., Chabaux, F., Ambroise, B., Lucas, Y., Stille, P.,
Reuschlé, T., Perrone, T., and Fritz, B.: Geochemical and isotopic (U,
Sr) tracing of water pathways in the granitic Ringelbach catchment (Vosges
Mountains, France), Chem. Geol., 374, 117–127, 2014.
Schmitt, A. D., Gangloff, S., Labolle, F., Chabaux, F., and Stille, P.: Ca
biogeochemical cycle at the beech tree - soil solution interface from the
Strengbach CZO (NE France): insights from stable Ca and radiogenic Sr
isotopes, Geochim. Cosmochim. Ac., 213, 91–109, 2017.
Schmitt, A. D., Borrelli, N., Ertlen, D., Gangloff, S., Chabaux, F., and Osterrieth,
M.: Stable calcium isotope speciation and calcium oxalate production within
beech tree (Fagus sylvatica L.) organs, Biogeochemistry, 137, 197–217, https://doi.org/10.1007/s10533-017-0411-0, 2018.
Steefel, C. I., DePaolo, D. J., and Lichtner, P. C.: Reactive transport
modeling: An essential tool and a new research approach for the Earth
sciences, Earth Planet. Sc. Lett., 240, 539–558, 2005.
Tardy, Y. and Fritz, B.: An ideal solid solution model for calculating
solubility of clay minerals, Clay Miner., 16, 361–373, 1981.
van Meerveld, H. J. I., Kirchner, J. W., Vis, M. J. P., Assendelft, R. S., and Seibert, J.: Expansion and contraction of the flowing stream network alter hillslope flowpath lengths and the shape of the travel time distribution, Hydrol. Earth Syst. Sci., 23, 4825–4834, https://doi.org/10.5194/hess-23-4825-2019, 2019.
Viville, D., Chabaux, F., Stille, P., Pierret, M. C., and Gangloff, S.:
Erosion and weathering fluxes in granitic basins: the example of the
Strengbach catchment (Vosges massif, eastern France), Catena, 92, 122–129, 2012.
Weill, S., Altissimo, M., Cassiani, G., Deiana, R., Marani, M., and Putti,
M.: Saturated area dynamics and streamflow generation from coupled
surface–subsurface simulations and field observations, Adv. Water Resour., 59, 196–208, 2013.
Weill, S., Delay, F., Pan, Y., and Ackerer, P.: A low-dimensional subsurface
model for saturated and unsaturated flow processes: ability to address
heterogeneity, Comput. Geosci., 21, 301–314, 2017.
White, A. F. and Brantley, S. L.: The effect of time on the weathering of
silicate minerals: why do weathering rates differ in the laboratory and
field?, Chem. Geol., 202, 479–506, 2003.
Wild, B., Daval, D., Guyot, F., Knauss, K. G., Pollet-Villard, M., and
Imfeld, G.: pH-dependent control of feldspar dissolution rate by altered
surface layers, Chem. Geol., 442, 148–159, 2016.
Zhu, C.: In situ feldspar dissolution rates in an aquifer, Geochim. Cosmochim. Ac., 69, 1435–1453,
2005.
