Articles | Volume 26, issue 19
https://doi.org/10.5194/hess-26-5185-2022
© Author(s) 2022. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/hess-26-5185-2022
© Author(s) 2022. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Research article
| 
14 Oct 2022
Research article |
| 14 Oct 2022
| 14 Oct 2022
Flood patterns in a catchment with mixed bedrock geology and a hilly landscape: identification of flashy runoff contributions during storm events
Audrey Douinot
CORRESPONDING AUTHOR
Environmental Research and Innovation Department (ERIN), Luxembourg
Institute of Science and Technology (LIST), Belvaux, Luxembourg
Jean François Iffly
Environmental Research and Innovation Department (ERIN), Luxembourg
Institute of Science and Technology (LIST), Belvaux, Luxembourg
Cyrille Tailliez
Environmental Research and Innovation Department (ERIN), Luxembourg
Institute of Science and Technology (LIST), Belvaux, Luxembourg
Claude Meisch
Administration de la Gestion de l'Eau – Division de l'Hydrologie, 1, avenue du Rock'n'roll, 4361 Esch-sur-Alzette, Luxembourg
Laurent Pfister
Environmental Research and Innovation Department (ERIN), Luxembourg
Institute of Science and Technology (LIST), Belvaux, Luxembourg
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Michael P. Schwab, Julian Klaus, Laurent Pfister, and Markus Weiler
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Simon Paul Seibert, Conrad Jackisch, Uwe Ehret, Laurent Pfister, and Erwin Zehe
Hydrol. Earth Syst. Sci., 21, 2817–2841, https://doi.org/10.5194/hess-21-2817-2017, https://doi.org/10.5194/hess-21-2817-2017, 2017
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Runoff production mechanisms and their corresponding physiographic controls continue to pose major research challenges in catchment hydrology. We propose innovative data-driven diagnostic signatures for overcoming the prevailing status quo in inter-comparison studies. Specifically, we present dimensionless double mass curves which allow us to infer information on runoff generation at the seasonal and annual timescales. The method is based on commonly available data.
N. Martínez-Carreras, C. E. Wetzel, J. Frentress, L. Ector, J. J. McDonnell, L. Hoffmann, and L. Pfister
Hydrol. Earth Syst. Sci., 19, 3133–3151, https://doi.org/10.5194/hess-19-3133-2015, https://doi.org/10.5194/hess-19-3133-2015, 2015
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We tested the hypothesis that different diatom species assemblages inhabit specific moisture domains of the catchment and, consequently, the presence of certain species assemblages in the stream during runoff events offers the potential for recording whether there was hydrological connectivity between these domains or not. In the Weierbach catchment, the transport of aerial diatoms during events suggested a rapid connectivity between the soil surface and the stream.
E. Zehe, U. Ehret, L. Pfister, T. Blume, B. Schröder, M. Westhoff, C. Jackisch, S. J. Schymanski, M. Weiler, K. Schulz, N. Allroggen, J. Tronicke, L. van Schaik, P. Dietrich, U. Scherer, J. Eccard, V. Wulfmeyer, and A. Kleidon
Hydrol. Earth Syst. Sci., 18, 4635–4655, https://doi.org/10.5194/hess-18-4635-2014, https://doi.org/10.5194/hess-18-4635-2014, 2014
A. M. J. Coenders-Gerrits, L. Hopp, H. H. G. Savenije, and L. Pfister
Hydrol. Earth Syst. Sci., 17, 1749–1763, https://doi.org/10.5194/hess-17-1749-2013, https://doi.org/10.5194/hess-17-1749-2013, 2013
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The quantification of precipitation into evaporation and runoff is vital for water resources management. The Budyko framework, based on aridity and evaporative indices of a catchment, can be an ideal tool for that. However, recent research highlights deviations of catchments from the expected evaporative index, casting doubt on its reliability. This study quantifies deviations of 2387 catchments, finding them minor and predictable. Integrating these into predictions upholds the framework's efficacy.
Anne-Laure Argentin, Pascal Horton, Bettina Schaefli, Jamal Shokory, Felix Pitscheider, Leona Repnik, Mattia Gianini, Simone Bizzi, Stuart N. Lane, and Francesco Comiti
Hydrol. Earth Syst. Sci., 29, 1725–1748, https://doi.org/10.5194/hess-29-1725-2025, https://doi.org/10.5194/hess-29-1725-2025, 2025
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In this article, we show that by taking the optimal parameters calibrated with a semi-lumped model for the discharge at a catchment's outlet, we can accurately simulate runoff at various points within the study area, including three nested and three neighboring catchments. In addition, we demonstrate that employing more intricate melt models, which better represent physical processes, enhances the transfer of parameters in the simulation, until we observe overparameterization.
Ryan S. Padrón, Massimiliano Zappa, Luzi Bernhard, and Konrad Bogner
Hydrol. Earth Syst. Sci., 29, 1685–1702, https://doi.org/10.5194/hess-29-1685-2025, https://doi.org/10.5194/hess-29-1685-2025, 2025
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We generate operational forecasts of daily maximum stream water temperature for 32 consecutive days at 54 stations in Switzerland with our best-performing data-driven model. The average forecast error is 0.38 °C for 1 d ahead and increases to 0.90 °C for 32 d ahead given the uncertainty in the meteorological variables influencing water temperature. Here we compare the skill of several models, how well they can forecast at new and ungauged stations, and the importance of different model inputs.
Eduardo Acuña Espinoza, Frederik Kratzert, Daniel Klotz, Martin Gauch, Manuel Álvarez Chaves, Ralf Loritz, and Uwe Ehret
Hydrol. Earth Syst. Sci., 29, 1749–1758, https://doi.org/10.5194/hess-29-1749-2025, https://doi.org/10.5194/hess-29-1749-2025, 2025
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Long short-term memory (LSTM) networks have demonstrated state-of-the-art performance for rainfall-runoff hydrological modelling. However, most studies focus on predictions at a daily scale, limiting the benefits of sub-daily (e.g. hourly) predictions in applications like flood forecasting. In this study, we introduce a new architecture, multi-frequency LSTM (MF-LSTM), designed to use inputs of various temporal frequencies to produce sub-daily (e.g. hourly) predictions at a moderate computational cost.
Louise Mimeau, Annika Künne, Alexandre Devers, Flora Branger, Sven Kralisch, Claire Lauvernet, Jean-Philippe Vidal, Núria Bonada, Zoltán Csabai, Heikki Mykrä, Petr Pařil, Luka Polović, and Thibault Datry
Hydrol. Earth Syst. Sci., 29, 1615–1636, https://doi.org/10.5194/hess-29-1615-2025, https://doi.org/10.5194/hess-29-1615-2025, 2025
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Our study projects how climate change will affect the drying of river segments and stream networks in Europe, using advanced modelling techniques to assess changes in six river networks across diverse ecoregions. We found that drying events will become more frequent and intense and will start earlier or last longer, potentially turning some river sections from perennial to intermittent. The results are valuable for river ecologists for evaluating the ecological health of river ecosystem.
Tariq Aziz, Steven K. Frey, David R. Lapen, Susan Preston, Hazen A. J. Russell, Omar Khader, Andre R. Erler, and Edward A. Sudicky
Hydrol. Earth Syst. Sci., 29, 1549–1568, https://doi.org/10.5194/hess-29-1549-2025, https://doi.org/10.5194/hess-29-1549-2025, 2025
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This study determines the value of subsurface water for ecosystem services' supply in an agricultural watershed in Ontario, Canada. Using a fully integrated water model and an economic valuation approach, the research highlights subsurface water's critical role in maintaining watershed ecosystem services. The study informs on the sustainable use of subsurface water and introduces a new method for managing watershed ecosystem services.
Eduardo Acuña Espinoza, Ralf Loritz, Frederik Kratzert, Daniel Klotz, Martin Gauch, Manuel Álvarez Chaves, and Uwe Ehret
Hydrol. Earth Syst. Sci., 29, 1277–1294, https://doi.org/10.5194/hess-29-1277-2025, https://doi.org/10.5194/hess-29-1277-2025, 2025
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Data-driven techniques have shown the potential to outperform process-based models in rainfall–runoff simulations. Hybrid models, combining both approaches, aim to enhance accuracy and maintain interpretability. Expanding the set of test cases to evaluate hybrid models under different conditions, we test their generalization capabilities for extreme hydrological events.
Basil Kraft, Michael Schirmer, William H. Aeberhard, Massimiliano Zappa, Sonia I. Seneviratne, and Lukas Gudmundsson
Hydrol. Earth Syst. Sci., 29, 1061–1082, https://doi.org/10.5194/hess-29-1061-2025, https://doi.org/10.5194/hess-29-1061-2025, 2025
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This study reconstructs daily runoff in Switzerland (1962–2023) using a deep-learning model, providing a spatially contiguous dataset on a medium-sized catchment grid. The model outperforms traditional hydrological methods, revealing shifts in Swiss water resources, including more frequent dry years and declining summer runoff. The reconstruction is publicly available.
Mengjiao Zhang, Yi Nan, and Fuqiang Tian
Hydrol. Earth Syst. Sci., 29, 1033–1060, https://doi.org/10.5194/hess-29-1033-2025, https://doi.org/10.5194/hess-29-1033-2025, 2025
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Owing to differences in the existing published results, we conducted a detailed analysis of the runoff components and future trends in the Yarlung Tsangpo River basin and found that the contributions of snowmelt and glacier melt runoff to streamflow (both ~5 %) are limited and much lower than previous results. The streamflow in this area will continuously increase in the future, but the overestimated contribution of glacier melt could lead to an underestimation of this increasing trend.
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
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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
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This study develops an integrated framework based on the novel Driving index for changes in Precipitation–Runoff Relationships (DPRR) to explore the controlling changes in precipitation–runoff relationships in non-stationary environments. According to the quantitative results of the candidate driving factors, the possible process explanations for changes in the precipitation–runoff relationships are deduced. The main contribution offers a comprehensive understanding of hydrological processes.
Everett Snieder and Usman T. Khan
Hydrol. Earth Syst. Sci., 29, 785–798, https://doi.org/10.5194/hess-29-785-2025, https://doi.org/10.5194/hess-29-785-2025, 2025
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Improving the accuracy of flood forecasts is paramount to minimising flood damage. Machine learning (ML) models are increasingly being applied for flood forecasting. Such models are typically trained on large historic hydrometeorological datasets. In this work, we evaluate methods for selecting training datasets that maximise the spatio-temporal diversity of the represented hydrological processes. Empirical results showcase the importance of hydrological diversity in training ML models.
Joško Trošelj and Naota Hanasaki
Hydrol. Earth Syst. Sci., 29, 753–766, https://doi.org/10.5194/hess-29-753-2025, https://doi.org/10.5194/hess-29-753-2025, 2025
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This study presents the first distributed hydrological simulation which confirms claims raised by historians that the eastward diversion project of the Tone River in Japan was conducted 4 centuries ago to increase low flows and subsequent travelling possibilities surrounding the capital, Edo (Tokyo), using inland navigation. We showed that great steps forward can be made for improving quality of life with small human engineering waterworks and small interventions in the regime of natural flows.
Léonard Santos, Vazken Andréassian, Torben O. Sonnenborg, Göran Lindström, Alban de Lavenne, Charles Perrin, Lila Collet, and Guillaume Thirel
Hydrol. Earth Syst. Sci., 29, 683–700, https://doi.org/10.5194/hess-29-683-2025, https://doi.org/10.5194/hess-29-683-2025, 2025
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This work investigates how hydrological models are transferred to a period in which climate conditions are different to the ones of the period in which they were set up. The robustness assessment test built to detect dependencies between model error and climatic drivers was applied to three hydrological models in 352 catchments in Denmark, France and Sweden. Potential issues are seen in a significant number of catchments for the models, even though the catchments differ for each model.
Xudong Zheng, Dengfeng Liu, Shengzhi Huang, Hao Wang, and Xianmeng Meng
Hydrol. Earth Syst. Sci., 29, 627–653, https://doi.org/10.5194/hess-29-627-2025, https://doi.org/10.5194/hess-29-627-2025, 2025
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Water budget non-closure is a widespread phenomenon among multisource datasets which undermines the robustness of hydrological inferences. This study proposes a Multisource Dataset Correction Framework grounded in Physical Hydrological Process Modelling to enhance water budget closure, termed PHPM-MDCF. We examined the efficiency and robustness of the framework using the CAMELS dataset and achieved an average reduction of 49 % in total water budget residuals across 475 CONUS basins.
Elena Macdonald, Bruno Merz, Viet Dung Nguyen, and Sergiy Vorogushyn
Hydrol. Earth Syst. Sci., 29, 447–463, https://doi.org/10.5194/hess-29-447-2025, https://doi.org/10.5194/hess-29-447-2025, 2025
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Flood peak distributions indicate how likely the occurrence of an extreme flood is at a certain river. If the distribution has a so-called heavy tail, extreme floods are more likely than might be anticipated. We find heavier tails in small catchments compared to large catchments, and spatially variable rainfall leads to a lower occurrence probability of extreme floods. Spatially variable runoff does not show effects. The results can improve estimations of probabilities of extreme floods.
Ngo Nghi Truyen Huynh, Pierre-André Garambois, Benjamin Renard, François Colleoni, Jérôme Monnier, and Hélène Roux
EGUsphere, https://doi.org/10.5194/egusphere-2024-3665, https://doi.org/10.5194/egusphere-2024-3665, 2025
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Understanding and modeling flash flood-prone areas remains challenging due to limited data and scale-relevant hydrological theory. While machine learning shows promise, its integration with process-based models is difficult. We present an approach incorporating machine learning into a high-resolution hydrological model to correct internal fluxes and transfer parameters between watersheds. Results show improved accuracy, advancing development of learnable and interpretable process-based models.
Junfu Gong, Xingwen Liu, Cheng Yao, Zhijia Li, Albrecht H. Weerts, Qiaoling Li, Satish Bastola, Yingchun Huang, and Junzeng Xu
Hydrol. Earth Syst. Sci., 29, 335–360, https://doi.org/10.5194/hess-29-335-2025, https://doi.org/10.5194/hess-29-335-2025, 2025
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Our study introduces a new method to improve flood forecasting by combining soil moisture and streamflow data using an advanced data assimilation technique. By integrating field and reanalysis soil moisture data and assimilating this with streamflow measurements, we aim to enhance the accuracy of flood predictions. This approach reduces the accumulation of past errors in the initial conditions at the start of the forecast, helping to better prepare for and respond to floods.
Jordy Salmon-Monviola, Ophélie Fovet, and Markus Hrachowitz
Hydrol. Earth Syst. Sci., 29, 127–158, https://doi.org/10.5194/hess-29-127-2025, https://doi.org/10.5194/hess-29-127-2025, 2025
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To increase the predictive power of hydrological models, it is necessary to improve their consistency, i.e. their physical realism, which is measured by the ability of the model to reproduce observed system dynamics. Using a model to represent the dynamics of water and nitrate and dissolved organic carbon concentrations in an agricultural catchment, we showed that using solute-concentration data for calibration is useful to improve the hydrological consistency of the model.
Haley A. Canham, Belize Lane, Colin B. Phillips, and Brendan P. Murphy
Hydrol. Earth Syst. Sci., 29, 27–43, https://doi.org/10.5194/hess-29-27-2025, https://doi.org/10.5194/hess-29-27-2025, 2025
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The influence of watershed disturbances has proved challenging to disentangle from natural streamflow variability. This study evaluates the influence of time-varying hydrologic controls on rainfall–runoff in undisturbed and wildfire-disturbed watersheds using a novel time-series event separation method. Across watersheds, water year type and season influenced rainfall–runoff patterns. Accounting for these controls enabled clearer isolation of wildfire effects.
Fabian Merk, Timo Schaffhauser, Faizan Anwar, Ye Tuo, Jean-Martial Cohard, and Markus Disse
Hydrol. Earth Syst. Sci., 28, 5511–5539, https://doi.org/10.5194/hess-28-5511-2024, https://doi.org/10.5194/hess-28-5511-2024, 2024
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Evapotranspiration (ET) is computed from the vegetation (plant transpiration) and soil (soil evaporation). In western Africa, plant transpiration correlates with vegetation growth. Vegetation is often represented using the leaf area index (LAI). In this study, we evaluate the importance of the LAI for ET calculation. We take a close look at this interaction and highlight its relevance. Our work contributes to the understanding of terrestrial water cycle processes .
Eshrat Fatima, Rohini Kumar, Sabine Attinger, Maren Kaluza, Oldrich Rakovec, Corinna Rebmann, Rafael Rosolem, Sascha E. Oswald, Luis Samaniego, Steffen Zacharias, and Martin Schrön
Hydrol. Earth Syst. Sci., 28, 5419–5441, https://doi.org/10.5194/hess-28-5419-2024, https://doi.org/10.5194/hess-28-5419-2024, 2024
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This study establishes a framework to incorporate cosmic-ray neutron measurements into the mesoscale Hydrological Model (mHM). We evaluate different approaches to estimate neutron counts within the mHM using the Desilets equation, with uniformly and non-uniformly weighted average soil moisture, and the physically based code COSMIC. The data improved not only soil moisture simulations but also the parameterisation of evapotranspiration in the model.
Laia Estrada, Xavier Garcia, Joan Saló-Grau, Rafael Marcé, Antoni Munné, and Vicenç Acuña
Hydrol. Earth Syst. Sci., 28, 5353–5373, https://doi.org/10.5194/hess-28-5353-2024, https://doi.org/10.5194/hess-28-5353-2024, 2024
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Hydrological modelling is a powerful tool to support decision-making. We assessed spatio-temporal patterns and trends of streamflow for 2001–2022 with a hydrological model, integrating stakeholder expert knowledge on management operations. The results provide insight into how climate change and anthropogenic pressures affect water resources availability in regions vulnerable to water scarcity, thus raising the need for sustainable management practices and integrated hydrological modelling.
Patricio Yeste, Matilde García-Valdecasas Ojeda, Sonia R. Gámiz-Fortis, Yolanda Castro-Díez, Axel Bronstert, and María Jesús Esteban-Parra
Hydrol. Earth Syst. Sci., 28, 5331–5352, https://doi.org/10.5194/hess-28-5331-2024, https://doi.org/10.5194/hess-28-5331-2024, 2024
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Integrating streamflow and evaporation data can help improve the physical realism of hydrologic models. We investigate the capabilities of the Variable Infiltration Capacity (VIC) to reproduce both hydrologic variables for 189 headwater located in Spain. Results from sensitivity analyses indicate that adding two vegetation parameters is enough to improve the representation of evaporation and that the performance of VIC exceeded that of the largest modelling effort currently available in Spain.
Daniel T. Myers, David Jones, Diana Oviedo-Vargas, John Paul Schmit, Darren L. Ficklin, and Xuesong Zhang
Hydrol. Earth Syst. Sci., 28, 5295–5310, https://doi.org/10.5194/hess-28-5295-2024, https://doi.org/10.5194/hess-28-5295-2024, 2024
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We studied how streamflow and water quality models respond to land cover data collected by satellites during the growing season versus the non-growing season. The land cover data showed more trees during the growing season and more built areas during the non-growing season. We next found that the use of non-growing season data resulted in a higher modeled nutrient export to streams. Knowledge of these sensitivities would be particularly important when models inform water resource management.
Hatice Türk, Christine Stumpp, Markus Hrachowitz, Karsten Schulz, Peter Strauss, Günter Blöschl, and Michael Stockinger
Hydrol. Earth Syst. Sci. Discuss., https://doi.org/10.5194/hess-2024-359, https://doi.org/10.5194/hess-2024-359, 2024
Revised manuscript accepted for HESS
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Using advances in transit time estimation and tracer data, we tested if fast-flow transit times are controlled solely by soil moisture or are also controlled by precipitation intensity. We used soil moisture-dependent and precipitation intensity-conditional transfer functions. We showed that significant portion of event water bypasses the soil matrix through fast flow paths (overland flow, tile drains, preferential flow paths) in dry soil conditions for both low and high-intensity precipitation.
Kevin R. Shook, Paul H. Whitfield, Christopher Spence, and John W. Pomeroy
Hydrol. Earth Syst. Sci., 28, 5173–5192, https://doi.org/10.5194/hess-28-5173-2024, https://doi.org/10.5194/hess-28-5173-2024, 2024
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Recent studies suggest that the velocities of water running off landscapes in the Canadian Prairies may be much smaller than generally assumed. Analyses of historical flows for 23 basins in central Alberta show that many of the rivers responded more slowly and that the flows are much slower than would be estimated from equations developed elsewhere. The effects of slow flow velocities on the development of hydrological models of the region are discussed, as are the possible causes.
Alberto Bassi, Marvin Höge, Antonietta Mira, Fabrizio Fenicia, and Carlo Albert
Hydrol. Earth Syst. Sci., 28, 4971–4988, https://doi.org/10.5194/hess-28-4971-2024, https://doi.org/10.5194/hess-28-4971-2024, 2024
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The goal is to remove the impact of meteorological drivers in order to uncover the unique landscape fingerprints of a catchment from streamflow data. Our results reveal an optimal two-feature summary for most catchments, with a third feature associated with aridity and intermittent flow that is needed for challenging cases. Baseflow index, aridity, and soil or vegetation attributes strongly correlate with learnt features, indicating their importance for streamflow prediction.
Pablo Fernando Dornes and Rocío Noelia Comas
Hydrol. Earth Syst. Sci. Discuss., https://doi.org/10.5194/hess-2024-338, https://doi.org/10.5194/hess-2024-338, 2024
Revised manuscript accepted for HESS
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The Desaguadero-Salado-Chadiluevú-Curacó (DSCC) River is a semiarid river which is severely dammed in its tributaries which collect the snowmelt runoff. This runoff feeds mostly gravitational irrigation systems of very low efficiency. As a result, the DSCC River does not have natural runoff. The proposed Hydrological Regime Index (HRI) is able to discriminate and quantify regime alterations under permanent and non-permanent flow conditions and with low and high impoundment conditions.
Sylvain Payraudeau, Pablo Alvarez-Zaldivar, Paul van Dijk, and Gwenaël Imfeld
EGUsphere, https://doi.org/10.5194/egusphere-2024-2840, https://doi.org/10.5194/egusphere-2024-2840, 2024
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Our study focuses on the rising concern of pesticides damaging aquatic ecosystems, which puts drinking water, the environment, and human health at risk. We provided more accurate estimates of how pesticides break down and spread in small water systems, helping to improve pesticide management practices. By using unique chemical markers in our analysis, we enhanced the accuracy of our predictions, offering important insights for better protection of water sources and natural ecosystems.
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.
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
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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
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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.
Francesco Zignol, William Lidberg, Caroline Greiser, Johannes Larson, Raúl Hoffrén, and Anneli M. Ågren
EGUsphere, https://doi.org/10.5194/egusphere-2024-2909, https://doi.org/10.5194/egusphere-2024-2909, 2024
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We investigated the factors influencing soil moisture variations across a boreal forest catchment in northern Sweden, where data is usually scarce. We found that soil moisture is shaped by topographical features, vegetation and soil characteristics, and weather conditions. The insights presented in this study will help improve models that predict soil moisture over space and time, which is crucial for forest management and nature conservation in the face of climate change and biodiversity loss.
Maria Elenius, Charlotta Pers, Sara Schützer, and Berit Arheimer
Hydrol. Earth Syst. Sci. Discuss., https://doi.org/10.5194/hess-2024-271, https://doi.org/10.5194/hess-2024-271, 2024
Revised manuscript accepted for HESS
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Simulations of peatland rewetting in Sweden under various conditions of climate, local hydrology and rewetting practices showed insubstantial changes in landscape flow extremes due to mixing with runoff from various landcover. The impact on local hydrological extremes are governed by groundwater levels prior to rewetting and reduced tree cover, hence wetland allocation and management practices are crucial if the purpose is to reduce flow extremes in peatland streams.
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.
Cited articles
adouinot: adouinot/TransitTimeModel: TransferTimeModel V1.0.0 (1.0.0), Zenodo [code], https://doi.org/10.5281/zenodo.7181809, 2022.
Asano, Y., Uchida, T., and Tomomura, M.: A Novel Method of Quantifying
Catchment-Wide Average Peak Propagation Speed in Hillslopes: Fast Hillslope
Responses are Detected During Annual Floods in a Steep Humid Catchment,
Water Resour. Res., 56, e2019WR025070, https://doi.org/10.1029/2019WR025070, 2020.
Anderson, A. E., Weiler, M., Alila, Y., and Hudson, R. O.: Subsurface flow
velocities in a hillslope with lateral preferential flow, Water Resour.
Res., 45, W11407, https://doi.org/10.1029/2008WR007121, 2009.
Berghuijs, W. R., Allen, S. T., Harrigan, S., and Kirchner, J. W.: Growing
Spatial Scales of Synchronous River Flooding in Europe, Geophys. Res.
Lett., 46, 1423–1428, https://doi.org/10.1029/2018GL081883, 2019.
Bergstrom, A., Jencso, K., and McGlynn, B.: Spatiotemporal processes that
contribute to hydrologic exchange between hillslopes, valley bottoms, and
streams, Water Resour. Res., 52, 4628–4645,
https://doi.org/10.1002/2015WR017972, 2016.
Braud, I.: Proceedings of the final ANR FloodScale workshop: multi-scale
hydro-meteorological observation and modelling for flash flood understanding
and simulation, in: Séminaire de restitution du projet ANR Floodscale,
Aix-en Provence, France, p. 109, https://hal.inrae.fr/hal-02602293 (last access: 2 July 2020), 2015.
Braud, I., Ayral, P. A., Bouvier, C., Branger, F., Delrieu, G., Dramais, G.,
and Vandervaere, J. P.: Advances in flash floods understanding and modelling
derived from the FloodScale project in south-east France, in: 3rd European
Conference on Flood Risk Management, Innovation, Implementation, Integration
(FLOODrisk 2016), Vol. 7, p. 4005, Lyon, France,
https://doi.org/10.1051/e3sconf/20160704005, 2016.
Bronstert, A., Agarwal, A., Boessenkool, B., Crisologo, I., Fischer, M.,
Heistermann, M., and Wendi, D.: Forensic hydro-meteorological analysis of an
extreme flash flood: The 2016-05-29 event in Braunsbach, SW Germany, Sci.
Total Environ., 630, 977–991,
https://doi.org/10.1016/j.scitotenv.2018.02.241, 2018.
Bryndal, T.: Local flash floods in Central Europe: A case study of Poland.
Norsk Geogr. Tidsskr., 69,
288–298, https://doi.org/10.1080/00291951.2015.1072242, 2015.
Butzen, V., Seeger, M., Marruedo, A., de Jonge, L., Wengel, R., Ries, J. B.,
and Casper, M. C.: Water repellency under coniferous and deciduous forest –
Experimental assessment and impact on overland flow, Catena, 133, 255–265,
https://doi.org/10.1016/j.catena.2015.05.022, 2015.
Diakakis, M. and Deligiannakis, G.: Flood fatalities in Greece: 1970–2010,
J. Flood Risk Manag., 10, 115–123,
https://doi.org/10.1111/jfr3.12166, 2017.
Doerr, S. H., Shakesby, R. A., and Walsh, R. P. D.: Soil water repellency:
Its causes, characteristics and hydro-geomorphological significance, Earth
Sci. Rev., 51, 33–65,
https://doi.org/10.1016/S0012-8252(00)00011-8, 2000.
Douinot, A., Roux, H., Garambois, P.-A., and Dartus, D.: Using a multi-hypothesis framework to improve the understanding of flow dynamics during flash floods, Hydrol. Earth Syst. Sci., 22, 5317–5340, https://doi.org/10.5194/hess-22-5317-2018, 2018.
Douinot, A., Dalla Torre, A., Martin, J., Iffly, J.-F., Rapin, L., Meisch,
C., Bastian C., and Pfister, L.: Prototype of a LPWA Network for Real-Time
Hydro-Meteorological Monitoring and Flood Nowcasting, in: Ad-Hoc, Mobile,
and Wireless Networks, edited by: Palattella, M. R.,
Scanzio, S., and Coleri Ergen, S., Lecture Notes in Computer Science, vol. 11803, Springer, 566–574, https://doi.org/10.1007/978-3-030-31831-4_40, 2019.
Du, J., Niu, J., Gao, Z., Chen, X., Zhang, L., Li, X., van Doorn, N. S.,
Luo, Z., and Zhu, Z.: Effects of rainfall intensity and slope on
interception and precipitation partitioning by forest litter layer, CATENA,
172, 711–718, https://doi.org/10.1016/j.catena.2018.09.036, 2019.
Ducrocq, V., Braud, I., Davolio, S., Ferretti, R., Flamant, C., Jansa, A.,
Kalthoff, N., Richard, E., Taupier-Letage, I., Ayral, P., Belamari, S.,
Berne, A., Borga, M., Boudevillain, B., Bock, O., Boichard, J., Bouin, M.,
Bousquet, O., Bouvier, C., Chiggiato, J., Cimini, D., Corsmeier, U.,
Coppola, L., Cocquerez, P., Defer, E., Delanoë, J., Di Girolamo, P.,
Doerenbecher, A., Drobinski, P., Dufournet, Y., Fourrié, N., Gourley, J.
J., Labatut, L., Lambert, D., Le Coz, J., Marzano, F. S., Molinié, G.,
Montani, A., Nord, G., Nuret, M., Ramage, K., Rison, W., Roussot, O., Said,
F., Schwarzenboeck, A., Testor, P., Van Baelen, J., Vincendon, B., Aran, M.,
and Tamayo, J.: HyMeX-SOP1: The Field Campaign Dedicated to Heavy
Precipitation and Flash Flooding in the Northwestern Mediterranean, B.
Am. Meteor. Soc., 95, 1083–1100,
https://doi.org/10.1175/BAMS-D-12-00244.1, 2014.
EM-DAT: CRED/UCLouvain, Brussels, Belgium, https://www.emdat.be/ (last access: 2 July 2020.
Fenicia, F., Kavetski, D., Savenije, H. H. G., Clark, M. P., Schoups, G.,
Pfister, L., and Freer, J.: Catchment properties, function, and conceptual
model representation: is there a correspondence?, Hydrol. Process.,
28, 2451–2467, https://doi.org/10.1002/hyp.9726, 2014.
Gabrielli, C. P., McDonnell, J. J., and Jarvis, W. T.: The role of bedrock
groundwater in rainfall-runoff response at hillslope and catchment scales,
J. Hydrol., 450–451, 117–133,
https://doi.org/10.1016/j.jhydrol.2012.05.023, 2012.
Gaume, E., Borga, M., Llassat, M. C., Maouche, S., Lang, M., and Diakakis,
M.: Mediterranean extreme floods and flash floods, in: The Mediterranean
Region under Climate Change, A Scientific Update, IRD Editions,
133–144, https://hal.archives-ouvertes.fr/hal-01465740 (last access: 2 July 2020), 2016.
Gerke, K. M., Sidle, R. C., and Mallants, D.: Preferential flow mechanisms
identified from staining experiments in forested hillslopes, Hydrol.
Process., 29, 4562–4578, https://doi.org/10.1002/hyp.10468, 2015.
Gomi, T., Sidle, R. C., Ueno, M., Miyata, S., and Kosugi, K.:
Characteristics of overland flow generation on steep forested hillslopes of
central Japan, J. Hydrol., 361, 275–290,
https://doi.org/10.1016/j.jhydrol.2008.07.045, 2008.
Graham, R. C., Rossi, A. M., and Hubbert, K. R.: Rock to regolith
conversion: Producing hospitable substrates for terrestrial ecosystems, GSA
Today, 20, 4–9, https://doi.org/10.1130/GSAT57A.1, 2010.
Hoeffding, W.: A Non-Parametric Test of Independence, Ann. Math. Stat.,
19, 546–557, https://doi.org/10.1214/aoms/1177730150, 1948.
Hrachowitz, M., Soulsby, C., Tetzlaff, D., Malcolm, I. A., and Schoups, G.:
Gamma distribution models for transit time estimation in catchments:
Physical interpretation of parameters and implications for time-variant
transit time assessment, Water Resour. Res., 46, W10536,
https://doi.org/10.1029/2010WR009148, 2010.
Iwasaki, K., Katsuyama, M., and Tani, M.: Contributions of bedrock
groundwater to the upscaling of storm-runoff generation processes in
weathered granitic headwater catchments, Hydrol. Process., 29,
1535–1548, https://doi.org/10.1002/hyp.10279, 2015.
Iwasaki, K., Katsuyama, M., and Tani, M.: Factors affecting dominant
peak-flow runoff-generation mechanisms among five neighbouring granitic
headwater catchments, Hydrol. Process., 34, 1154–1166,
https://doi.org/10.1002/hyp.13656, 2020.
Jackisch, C., Angermann, L., Allroggen, N., Sprenger, M., Blume, T., Tronicke, J., and Zehe, E.: Form and function in hillslope hydrology: in situ imaging and characterization of flow-relevant structures, Hydrol. Earth Syst. Sci., 21, 3749–3775, https://doi.org/10.5194/hess-21-3749-2017, 2017.
Jeyakumar, P., Müller, K., Deurer, M., van den Dijssel, C., Mason, K.,
Le Mire, G., and Clothier, B.: A novel approach to quantify the impact of
soil water repellency on run-off and solute loss, Geoderma, 221–222,
121–130, https://doi.org/10.1016/j.geoderma.2014.01.008, 2014.
Kausch, B. and Maquil, R.: Landscapes and Landforms of the Luxembourg
Sandstone, Grand-Duchy of Luxembourg, in: Landscapes and Landforms of
Belgium and Luxembourg, edited by: Demoulin, A., Springer International
Publishing, the Netherlands, 1st ed., 43–62,
https://doi.org/10.1007/978-3-319-58239-9, 2018.
Kendall, M. G.: A new measure of rank correlation, Biometrika, 30,
81–93, 1938.
Kim, J. K., Onda, Y., Kim, M. S., and Yang, D. Y.: Plot-scale study of
surface runoff on well-covered forest floors under different canopy species,
Quaternary Int., 344, 75–85,
https://doi.org/10.1016/j.quaint.2014.07.036, 2014.
Kirnbauer, R., Blöschl, G., Haas, P., Müller, G., and Merz, B.:
Identifying Space-time Patterns of Runoff Generation: A Case Study from the
Löhnersbach Catchment, Austrian Alps, in: Global Change and Mountain
Regions: An Overview of Current Knowledge, edited by: Huber, U. M.,
Bugmann, H. K. M., and Reasoner, M. A., Springer, the Netherlands, 309–320,
https://doi.org/10.1007/1-4020-3508-X_31, 2005.
Llasat, M. C., Marcos, R., Turco, M., Gilabert, J., and Llasat-Botija, M.:
Trends in flash flood events versus convective precipitation in the
Mediterranean region: The case of Catalonia, J. Hydrol., 541,
24–37, https://doi.org/10.1016/j.jhydrol.2016.05.040, 2016.
Marchi, L., Borga, M., Preciso, E., and Gaume, E.: Characterisation of
selected extreme flash floods in Europe and implications for flood risk
management, J. Hydrol., 394, 118–133,
https://doi.org/10.1016/j.jhydrol.2010.07.017, 2010.
Martínez-Carreras, N., Hissler, C., Gourdol, L., Klaus, J., Juilleret,
J., Iffly, J. F., and Pfister, L.: Storage controls on the generation of
double peak hydrographs in a forested headwater catchment, J.
Hydrol., 543, 255–269, https://doi.org/10.1016/j.jhydrol.2016.10.004,
2016.
Massari, C., Camici, S., Ciabatta, L., Penna, D., Marra, A. C., and
Panegrossi, G.: Floods in the Mediterranean area: The role of
soil moisture and precipitation, in: Water resources in Mediterranean
region, chap. 8, edited by: Zribi, M., Brocca, L., Tramblay, Y., and Molle, F., Elsevier,
191–218,
https://doi.org/10.1016/B978-0-12-818086-0.00008-X, 2020.
McGlynn, B. L., McDonnell, J. J., Seibert, J., and Kendall, C.: Scale
effects on headwater catchment runoff timing, flow sources, and
groundwater-streamflow relations, Water Resour. Res., 40, W07504,
https://doi.org/10.1029/2003WR002494, 2004.
Miller, D. J. and Dunne, T.: Topographic perturbations of regional stresses
and consequent bedrock fracturing, J. Geophys. Res.-Sol.
Ea., 101, 25523–25536, https://doi.org/10.1029/96JB02531, 1996.
Miyata, S., Kosugi, K., Gomi, T., and Mizuyama, T.: Effects of forest floor
coverage on overland flow and soil erosion on hillslopes in Japanese cypress
plantation forests, Water Resour. Res., 45, W06402,
https://doi.org/10.1029/2008WR007270, 2009.
Molnar, P.: Interactions among topographically induced elastic stress,
static fatigue, and valley incision, J. Geophys. Res.-Earth, 109, F02010, https://doi.org/10.1029/2003JF000097, 2004.
Nobre, A. D., Cuartas, L. A., Hodnett, M., Rennó, C. D., Rodrigues, G.,
Silveira, A., Waterloo, M., and Saleska, S.: Height Above the Nearest
Drainage – a hydrologically relevant new terrain model, J.
Hydrol., 404, 13–29,
https://doi.org/10.1016/j.jhydrol.2011.03.051, 2011.
Onda, Y., Tsujimura, M., Fujihara, J., and Ito, J.: Runoff generation
mechanisms in high-relief mountainous watersheds with different underlying
geology, J. Hydrol., 331, 659–673,
https://doi.org/10.1016/j.jhydrol.2006.06.009, 2006.
Padilla, C., Onda, Y., and Iida, T.: Interaction between runoff – bedrock
groundwater in a steep headwater catchment underlain by sedimentary bedrock
fractured by gravitational deformation, Hydrol. Process., 29,
4398–4412, https://doi.org/10.1002/hyp.10498, 2015.
Payrastre, O., NAULIN, J. P., Nguyen, C. C., and Gaume, E.: Analyse
hydrologique des crues de juin 2010 dans le Var, IFSTTAR – Institut
Français des Sciences et Technologies des Transports, de
l'Aménagement et des Réseaux, 33 pp., https://hal.archives-ouvertes.fr/hal-01272025/file/doc00023875.pdf
(last access: 1 September 2021),
2012.
Pereira, S., Diakakis, M., Deligiannakis, G., and Zêzere, J. L.:
Comparing flood mortality in Portugal and Greece (Western and Eastern
Mediterranean), Int. J. Disast. Risk, 22,
147–157, https://doi.org/10.1016/j.ijdrr.2017.03.007, 2017.
Pfister, L., Humbert, J., and Hoffmann, L.: Recent Trends in Rainfall-Runoff
Characteristics in the Alzette River Basin, Luxembourg, Climatic Change,
45, 323–337, https://doi.org/10.1023/A:1005567808533, 2000.
Pfister, L., Martínez-Carreras, N., Hissler, C., Klaus, J., Carrer, G.
E., Stewart, M. K., and McDonnell, J. J.: Bedrock geology controls on
catchment storage, mixing, and release: A comparative analysis of 16 nested
catchments, Hydrol. Process., 31, 1828–1845,
https://doi.org/10.1002/hyp.11134, 2017.
Pfister, L., Bastian, C., Faber O., Gölhausen, D., Hostache R., Iffly
J.F., Matgen P., Meisch C., Minette F., Patz, N., and Trebs, I.: La crue
éclair du 22 juillet 2016 dans la région de Larochette: Etude
mécanistique et fréquentielle, LIST, Luxembourg, 20 pp.,
https://gouvernement.lu/fr/publications.gouv_eau+fr+services-aux-citoyens+publications+2021+brochures+Crue-eclair-du-22-juillet-2016.html
(last access: 20 February 2021),
2018.
Pfister, L. Bastian, C., Douinot A., Gilbertz, C., Göhlhausen, D.,
Hostache R., Iffly J. F., Matgen P., Meisch C., Minette F., and Patz, N.:
Etude mécanistique et fréquentielle des crues subites de 2018 au
Luxembourg, LIST, technical report, Luxembourg, 24 pp., https://gouvernement.lu/fr/publications.gouv_eau+fr+services-aux-citoyens+publications+2021+brochures+Crues-subites-2018.html
(last access: 1 June 2021),
2020.
Ruiz-Villanueva, V., Borga, M., Zoccatelli, D., Marchi, L., Gaume, E., and Ehret, U.: Extreme flood response to short-duration convective rainfall in South-West Germany, Hydrol. Earth Syst. Sci., 16, 1543–1559, https://doi.org/10.5194/hess-16-1543-2012, 2012.
Saber, M., and Yilmaz, K. K.: Evaluation and Bias Correction of
Satellite-Based Rainfall Estimates for Modelling Flash Floods over the
Mediterranean region: Application to Karpuz River Basin, Turkey, Water,
10, 657, https://doi.org/10.3390/w10050657, 2018.
Sato, Y., Kumagai, T., Kume, A., Otsuki, K., and Ogawa, S.: Experimental
analysis of moisture dynamics of litter layers – the effects of rainfall
conditions and leaf shapes, Hydrol. Process., 18, 3007–3018,
https://doi.org/10.1002/hyp.5746, 2004.
Scaini, A., Hissler, C., Fenicia, F., Juilleret, J., Iffly, J. F., Pfister,
L., and Beven, K.: Hillslope response to sprinkling and natural rainfall
using velocity and celerity estimates in a slate-bedrock catchment, J.
Hydrol., 558, 366–379, https://doi.org/10.1016/j.jhydrol.2017.12.011,
2018.
Sidle, R. C., Tsuboyama, Y., Noguchi, S., Hosoda, I., Fujieda, M., and
Shimizu, T.: Stormflow generation in steep forested headwaters: a linked
hydrogeomorphic paradigm, Hydrol. Process., 14, 369–385,
https://doi.org/10.1002/(SICI)1099-1085(20000228)14:3<369::AID-HYP943>3.0.CO;2-P, 2000.
Sidle, R. C., Hirano, T., Gomi, T., and Terajima, T.: Hortonian overland
flow from Japanese forest plantations – an aberration, the real thing, or
something in between?, Hydrol. Process., 21, 3237–3247,
https://doi.org/10.1002/hyp.6876, 2007.
Slim, M., Perron, J. T., Martel, S. J., and Singha, K.: Topographic stress
and rock fracture: a two-dimensional numerical model for arbitrary
topography and preliminary comparison with borehole observations, Earth
Surf. Proc. Land., 40, 512–529,
https://doi.org/10.1002/esp.3646, 2015.
Teschemacher, S., Rieger, W., and Disse, M.: Experimental Investigation of
Lateral Subsurface Flow Depending on Land Use and Soil Cultivation, Water,
11, 766, https://doi.org/10.3390/w11040766, 2019.
Tramblay, Y., Bouvier, C., Martin, C., Didon-Lescot, J.-F., Todorovik, D.,
and Domergue, J.-M.: Assessment of initial soil moisture conditions for
event-based rainfall–runoff modelling, J. Hydrol., 387,
176–187, https://doi.org/10.1016/j.jhydrol.2010.04.006, 2010.
Van Campenhout, J., Hallot, E., Houbrechts, G., Peeters, A., Levecq, Y.,
Gérard, P., and Petit, F.: Flash floods and muddy floods in Wallonia:
recent temporal trends, spatial distribution and reconstruction of the
hydrosedimentological fluxes using flood marks and sediment deposits,
Belgeo, Revue Belge de Géographie, 1, 3,
https://doi.org/10.4000/belgeo.16409, 2015.
Vannier, O., Braud, I., and Anquetin, S.: Regional estimation of
catchment-scale soil properties by means of streamflow recession analysis
for use in distributed hydrological models, Hydrol. Process., 28, 6276–6291,
https://doi.org/10.1002/hyp.10101, 2013.
Westhoff, M. C., Bogaard, T. A., and Savenije, H. H. G.: Quantifying spatial and temporal discharge dynamics of an event in a first order stream, using distributed temperature sensing, Hydrol. Earth Syst. Sci., 15, 1945–1957, https://doi.org/10.5194/hess-15-1945-2011, 2011.
Wrede, S., Fenicia, F., Martínez-Carreras, N., Juilleret, J., Hissler,
C., Krein, A., Savenije, H. H. G., Uhlenbrook, S., Kavetski, D., and
Pfister, L.: Towards more systematic perceptual model development: a case
study using 3 Luxembourgish catchments, Hydrol. Process., 29,
2731–2750, https://doi.org/10.1002/hyp.10393, 2015.
Zavala, L. M., González, F. A., and Jordán, A.: Intensity and
persistence of water repellency in relation to vegetation types and soil
parameters in Mediterranean SW Spain, Geoderma, 152, 361–374, https://doi.org/10.1016/j.geoderma.2009.07.011, 2009.
Short summary
The objective of the paper is to highlight the seasonal and singular shift of the transfer time distributions of two catchments (≅10 km2).
Based on 2 years of rainfall and discharge observations, we compare variations in the properties of TTDs with the physiographic characteristics of catchment areas and the eco-hydrological cycle. The paper eventually aims to deduce several factors conducive to particularly rapid and concentrated water transfers, which leads to flash floods.
The objective of the paper is to highlight the seasonal and singular shift of the transfer time...
