Articles | Volume 23, issue 3
https://doi.org/10.5194/hess-23-1801-2019
© Author(s) 2019. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/hess-23-1801-2019
© Author(s) 2019. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Research article
| 
02 Apr 2019
Research article |
| 02 Apr 2019
| 02 Apr 2019
Assessing the impact of resolution and soil datasets on flash-flood modelling
Alexane Lovat
CORRESPONDING AUTHOR
CNRM, Université de Toulouse, Météo-France, CNRS, Toulouse, France
Béatrice Vincendon
DCSC, Météo-France, Toulouse, France
Véronique Ducrocq
CNRM, Université de Toulouse, Météo-France, CNRS, Toulouse, France
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Alexane Lovat, Béatrice Vincendon, and Véronique Ducrocq
Hydrol. Earth Syst. Sci., 26, 2697–2714, https://doi.org/10.5194/hess-26-2697-2022, https://doi.org/10.5194/hess-26-2697-2022, 2022
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The hydrometeorological skills of two new nowcasting systems for forecasting Mediterranean intense rainfall events and floods are investigated. The results reveal that up to 75 or 90 min of forecast the performance of the nowcasting system blending numerical weather prediction and extrapolation of radar estimation is higher than the numerical weather model. For lead times up to 3 h the skills are equivalent in general. Using these nowcasting systems for flash flood forecasting is also promising.
Olivier Caumont, Marc Mandement, François Bouttier, Judith Eeckman, Cindy Lebeaupin Brossier, Alexane Lovat, Olivier Nuissier, and Olivier Laurantin
Nat. Hazards Earth Syst. Sci., 21, 1135–1157, https://doi.org/10.5194/nhess-21-1135-2021, https://doi.org/10.5194/nhess-21-1135-2021, 2021
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This study focuses on the heavy precipitation event of 14 and 15 October 2018, which caused deadly flash floods in the Aude basin in south-western France.
The case is studied from a meteorological point of view using various operational numerical weather prediction systems, as well as a unique combination of observations from both standard and personal weather stations. The peculiarities of this case compared to other cases of Mediterranean heavy precipitation events are presented.
Alexane Lovat, Béatrice Vincendon, and Véronique Ducrocq
Hydrol. Earth Syst. Sci., 26, 2697–2714, https://doi.org/10.5194/hess-26-2697-2022, https://doi.org/10.5194/hess-26-2697-2022, 2022
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The hydrometeorological skills of two new nowcasting systems for forecasting Mediterranean intense rainfall events and floods are investigated. The results reveal that up to 75 or 90 min of forecast the performance of the nowcasting system blending numerical weather prediction and extrapolation of radar estimation is higher than the numerical weather model. For lead times up to 3 h the skills are equivalent in general. Using these nowcasting systems for flash flood forecasting is also promising.
Samira Khodayar, Silvio Davolio, Paolo Di Girolamo, Cindy Lebeaupin Brossier, Emmanouil Flaounas, Nadia Fourrie, Keun-Ok Lee, Didier Ricard, Benoit Vie, Francois Bouttier, Alberto Caldas-Alvarez, and Veronique Ducrocq
Atmos. Chem. Phys., 21, 17051–17078, https://doi.org/10.5194/acp-21-17051-2021, https://doi.org/10.5194/acp-21-17051-2021, 2021
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Heavy precipitation (HP) constitutes a major meteorological threat in the western Mediterranean. Every year, recurrent events affect the area with fatal consequences. Despite this being a well-known issue, open questions still remain. The understanding of the underlying mechanisms and the modeling representation of the events must be improved. In this article we present the most recent lessons learned from the Hydrological Cycle in the Mediterranean Experiment (HyMeX).
Olivier Caumont, Marc Mandement, François Bouttier, Judith Eeckman, Cindy Lebeaupin Brossier, Alexane Lovat, Olivier Nuissier, and Olivier Laurantin
Nat. Hazards Earth Syst. Sci., 21, 1135–1157, https://doi.org/10.5194/nhess-21-1135-2021, https://doi.org/10.5194/nhess-21-1135-2021, 2021
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This study focuses on the heavy precipitation event of 14 and 15 October 2018, which caused deadly flash floods in the Aude basin in south-western France.
The case is studied from a meteorological point of view using various operational numerical weather prediction systems, as well as a unique combination of observations from both standard and personal weather stations. The peculiarities of this case compared to other cases of Mediterranean heavy precipitation events are presented.
Olivier Nuissier, Fanny Duffourg, Maxime Martinet, Véronique Ducrocq, and Christine Lac
Atmos. Chem. Phys., 20, 14649–14667, https://doi.org/10.5194/acp-20-14649-2020, https://doi.org/10.5194/acp-20-14649-2020, 2020
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This present article demonstrates how numerical simulations with very high horizontal resolution (150 m) can contribute to better understanding the key physical processes (turbulence and microphysics) that lead to Mediterranean heavy precipitation.
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Atmos. Chem. Phys., 20, 1675–1699, https://doi.org/10.5194/acp-20-1675-2020, https://doi.org/10.5194/acp-20-1675-2020, 2020
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Air–sea exchanges during Mediterranean heavy precipitation events are key and their representation must be improved for high-resolution weather forecasts. This study investigates the mechanisms acting at the air–sea interface during a case that occurred in southern France. To focus on the impact of sea state, we developed and used an original coupled air–wave model. Results show modifications of the forecast for the air–sea fluxes, the near-surface wind and the location of precipitation.
François Besson, Brigitte Dubuisson, Pierre Etchevers, Anne-Laure Gibelin, Pierre Lassegues, Michel Schneider, and Béatrice Vincendon
Adv. Sci. Res., 16, 149–156, https://doi.org/10.5194/asr-16-149-2019, https://doi.org/10.5194/asr-16-149-2019, 2019
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A spatialization of extreme daily temperatures (called ANASTASIA) had been produced on a 1 km regular grid over France. The production covers 1947 to present period. Validation shows good quality after the 1960s and temporal homogeneity at national scale from the 1970s. The ANASTASIA production is useful for temperature real-time monitoring and detection of heat and cold wave episodes over France.
Mary Borderies, Olivier Caumont, Julien Delanoë, Véronique Ducrocq, Nadia Fourrié, and Pascal Marquet
Nat. Hazards Earth Syst. Sci., 19, 907–926, https://doi.org/10.5194/nhess-19-907-2019, https://doi.org/10.5194/nhess-19-907-2019, 2019
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The potential of W-band radar reflectivity to improve the quality of analyses and forecasts of heavy precipitation events in the Mediterranean area is investigated. The 1D + 3DVar assimilation method has been adapted to assimilate the W-band reflectivity in the Météo-France kilometre-scale NWP model AROME. The results suggest that the joint assimilation of W-band reflectivity and horizontal wind profiles lead to a slight improvement of moisture analyses and rainfall precipitation forecasts.
Mary Borderies, Olivier Caumont, Julien Delanoë, Véronique Ducrocq, and Nadia Fourrié
Nat. Hazards Earth Syst. Sci., 19, 821–835, https://doi.org/10.5194/nhess-19-821-2019, https://doi.org/10.5194/nhess-19-821-2019, 2019
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The study reports on the impact of the assimilation of wind data from airborne Doppler cloud-profiling radar in a kilometre-scale NWP model on predicting heavy precipitation events in the Mediterranean area. The positive impact of the assimilation of such data is particularly evidenced for a heavy precipitation event and results are slightly encouraging over a 45-day period. In addition, the impact of the length of the assimilation window in a 3h-3DVar assimilation system is investigated.
Keun-Ok Lee, Cyrille Flamant, Fanny Duffourg, Véronique Ducrocq, and Jean-Pierre Chaboureau
Atmos. Chem. Phys., 18, 16845–16862, https://doi.org/10.5194/acp-18-16845-2018, https://doi.org/10.5194/acp-18-16845-2018, 2018
Christine Lac, Jean-Pierre Chaboureau, Valéry Masson, Jean-Pierre Pinty, Pierre Tulet, Juan Escobar, Maud Leriche, Christelle Barthe, Benjamin Aouizerats, Clotilde Augros, Pierre Aumond, Franck Auguste, Peter Bechtold, Sarah Berthet, Soline Bielli, Frédéric Bosseur, Olivier Caumont, Jean-Martial Cohard, Jeanne Colin, Fleur Couvreux, Joan Cuxart, Gaëlle Delautier, Thibaut Dauhut, Véronique Ducrocq, Jean-Baptiste Filippi, Didier Gazen, Olivier Geoffroy, François Gheusi, Rachel Honnert, Jean-Philippe Lafore, Cindy Lebeaupin Brossier, Quentin Libois, Thibaut Lunet, Céline Mari, Tomislav Maric, Patrick Mascart, Maxime Mogé, Gilles Molinié, Olivier Nuissier, Florian Pantillon, Philippe Peyrillé, Julien Pergaud, Emilie Perraud, Joris Pianezze, Jean-Luc Redelsperger, Didier Ricard, Evelyne Richard, Sébastien Riette, Quentin Rodier, Robert Schoetter, Léo Seyfried, Joël Stein, Karsten Suhre, Marie Taufour, Odile Thouron, Sandra Turner, Antoine Verrelle, Benoît Vié, Florian Visentin, Vincent Vionnet, and Philippe Wautelet
Geosci. Model Dev., 11, 1929–1969, https://doi.org/10.5194/gmd-11-1929-2018, https://doi.org/10.5194/gmd-11-1929-2018, 2018
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This paper presents the Meso-NH model version 5.4, which is an atmospheric non-hydrostatic research model that is applied on synoptic to turbulent scales. The model includes advanced numerical techniques and state-of-the-art physics parameterization schemes. It has been expanded to provide capabilities for a range of Earth system prediction applications such as chemistry and aerosols, electricity and lightning, hydrology, wildland fires, volcanic eruptions, and cyclones with ocean coupling.
Aurore Voldoire, Bertrand Decharme, Joris Pianezze, Cindy Lebeaupin Brossier, Florence Sevault, Léo Seyfried, Valérie Garnier, Soline Bielli, Sophie Valcke, Antoinette Alias, Mickael Accensi, Fabrice Ardhuin, Marie-Noëlle Bouin, Véronique Ducrocq, Stéphanie Faroux, Hervé Giordani, Fabien Léger, Patrick Marsaleix, Romain Rainaud, Jean-Luc Redelsperger, Evelyne Richard, and Sébastien Riette
Geosci. Model Dev., 10, 4207–4227, https://doi.org/10.5194/gmd-10-4207-2017, https://doi.org/10.5194/gmd-10-4207-2017, 2017
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This study presents the principles of the new coupling interface based on the SURFEX multi-surface model and the OASIS3-MCT coupler. As SURFEX can be plugged into several atmospheric models, it can be used in a wide range of applications. The objective of this development is to build and share a common structure for the atmosphere–surface coupling of all these applications, involving on the one hand atmospheric models and on the other hand ocean, ice, hydrology, and wave models.
Béatrice Vincendon and Arnau Amengual
Nat. Hazards Earth Syst. Sci. Discuss., https://doi.org/10.5194/nhess-2017-353, https://doi.org/10.5194/nhess-2017-353, 2017
Preprint withdrawn
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Discharge forecasts are affected by meteorological and hydrological uncertainties, particularly difficult to handle when dealing with Mediterranean flash-flood. In this work, an intercomparison of two hydrometeorological ensemble strategies is presented for heavy precipitation events that affected semi-arid Spanish catchments. Both stategies are more beneficial than a deterministic approach when conveying information to end-users. Their skill is enhanced by shorter forecasting lead-times.
Beatrice Vincendon and Arnau Amengual
Hydrol. Earth Syst. Sci. Discuss., https://doi.org/10.5194/hess-2017-427, https://doi.org/10.5194/hess-2017-427, 2017
Preprint withdrawn
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Several hydrometeorological prediction systems were designed for two heavy precipitation events that affected Spanish Mediterranean catchments. The uncertainty on precipitation forecasting is sampled through probabilistic atmospheric systems based on two distinct kilometric-scale models. The rainfall scenarios are used to drive two distinct hydrological models. These strategies have proven useful for discharge forecasting, allowing to better encompass the arising uncertainty.
Guillaume Nord, Brice Boudevillain, Alexis Berne, Flora Branger, Isabelle Braud, Guillaume Dramais, Simon Gérard, Jérôme Le Coz, Cédric Legoût, Gilles Molinié, Joel Van Baelen, Jean-Pierre Vandervaere, Julien Andrieu, Coralie Aubert, Martin Calianno, Guy Delrieu, Jacopo Grazioli, Sahar Hachani, Ivan Horner, Jessica Huza, Raphaël Le Boursicaud, Timothy H. Raupach, Adriaan J. Teuling, Magdalena Uber, Béatrice Vincendon, and Annette Wijbrans
Earth Syst. Sci. Data, 9, 221–249, https://doi.org/10.5194/essd-9-221-2017, https://doi.org/10.5194/essd-9-221-2017, 2017
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A. Hally, O. Caumont, L. Garrote, E. Richard, A. Weerts, F. Delogu, E. Fiori, N. Rebora, A. Parodi, A. Mihalović, M. Ivković, L. Dekić, W. van Verseveld, O. Nuissier, V. Ducrocq, D. D'Agostino, A. Galizia, E. Danovaro, and A. Clematis
Nat. Hazards Earth Syst. Sci., 15, 537–555, https://doi.org/10.5194/nhess-15-537-2015, https://doi.org/10.5194/nhess-15-537-2015, 2015
E. Defer, J.-P. Pinty, S. Coquillat, J.-M. Martin, S. Prieur, S. Soula, E. Richard, W. Rison, P. Krehbiel, R. Thomas, D. Rodeheffer, C. Vergeiner, F. Malaterre, S. Pedeboy, W. Schulz, T. Farges, L.-J. Gallin, P. Ortéga, J.-F. Ribaud, G. Anderson, H.-D. Betz, B. Meneux, V. Kotroni, K. Lagouvardos, S. Roos, V. Ducrocq, O. Roussot, L. Labatut, and G. Molinié
Atmos. Meas. Tech., 8, 649–669, https://doi.org/10.5194/amt-8-649-2015, https://doi.org/10.5194/amt-8-649-2015, 2015
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The paper summarizes the scientific objectives and the observational/modeling strategy of the atmospheric electricity PEACH project of the HyMeX program focusing on the lightning activity and the electrical state of Mediterranean thunderstorms. Examples of concurrent observations from radio frequency to acoustic for regular and atypical lightning flashes and for storms are discussed, showing the unique and comprehensive description of lightning flashes recorded during a dedicated field campaign.
I. Braud, P.-A. Ayral, C. Bouvier, F. Branger, G. Delrieu, J. Le Coz, G. Nord, J.-P. Vandervaere, S. Anquetin, M. Adamovic, J. Andrieu, C. Batiot, B. Boudevillain, P. Brunet, J. Carreau, A. Confoland, J.-F. Didon-Lescot, J.-M. Domergue, J. Douvinet, G. Dramais, R. Freydier, S. Gérard, J. Huza, E. Leblois, O. Le Bourgeois, R. Le Boursicaud, P. Marchand, P. Martin, L. Nottale, N. Patris, B. Renard, J.-L. Seidel, J.-D. Taupin, O. Vannier, B. Vincendon, and A. Wijbrans
Hydrol. Earth Syst. Sci., 18, 3733–3761, https://doi.org/10.5194/hess-18-3733-2014, https://doi.org/10.5194/hess-18-3733-2014, 2014
A. Hally, E. Richard, and V. Ducrocq
Nat. Hazards Earth Syst. Sci., 14, 1071–1084, https://doi.org/10.5194/nhess-14-1071-2014, https://doi.org/10.5194/nhess-14-1071-2014, 2014
H. Brenot, A. Walpersdorf, M. Reverdy, J. van Baelen, V. Ducrocq, C. Champollion, F. Masson, E. Doerflinger, P. Collard, and P. Giroux
Atmos. Meas. Tech., 7, 553–578, https://doi.org/10.5194/amt-7-553-2014, https://doi.org/10.5194/amt-7-553-2014, 2014
V. Masson, P. Le Moigne, E. Martin, S. Faroux, A. Alias, R. Alkama, S. Belamari, A. Barbu, A. Boone, F. Bouyssel, P. Brousseau, E. Brun, J.-C. Calvet, D. Carrer, B. Decharme, C. Delire, S. Donier, K. Essaouini, A.-L. Gibelin, H. Giordani, F. Habets, M. Jidane, G. Kerdraon, E. Kourzeneva, M. Lafaysse, S. Lafont, C. Lebeaupin Brossier, A. Lemonsu, J.-F. Mahfouf, P. Marguinaud, M. Mokhtari, S. Morin, G. Pigeon, R. Salgado, Y. Seity, F. Taillefer, G. Tanguy, P. Tulet, B. Vincendon, V. Vionnet, and A. Voldoire
Geosci. Model Dev., 6, 929–960, https://doi.org/10.5194/gmd-6-929-2013, https://doi.org/10.5194/gmd-6-929-2013, 2013
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Subject: Catchment hydrology | Techniques and Approaches: Modelling approaches
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Improving the hydrological consistency of a process-based solute-transport model by simultaneous calibration of streamflow and stream concentrations
Leveraging a time-series event separation method to disentangle time-varying hydrologic controls on streamflow – application to wildfire-affected catchments
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Spatio-temporal patterns and trends of streamflow in water-scarce Mediterranean basins
A large-sample modelling approach towards integrating streamflow and evaporation data for the Spanish catchments
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Soil moisture and precipitation intensity control the transit time distribution of quick flow in a flashy headwater catchment
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Wouter J. M. Knoben, Ashwin Raman, Gaby J. Gründemann, Mukesh Kumar, Alain Pietroniro, Chaopeng Shen, Yalan Song, Cyril Thébault, Katie van Werkhoven, Andrew W. Wood, and Martyn P. Clark
Hydrol. Earth Syst. Sci., 29, 2361–2375, https://doi.org/10.5194/hess-29-2361-2025, https://doi.org/10.5194/hess-29-2361-2025, 2025
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Hydrologic models are needed to provide simulations of water availability, floods, and droughts. The accuracy of these simulations is often quantified with so-called performance scores. A common thought is that different models are more or less applicable to different landscapes, depending on how the model works. We show that performance scores are not helpful in distinguishing between different models and thus cannot easily be used to select an appropriate model for a specific place.
Chen Yang, Zitong Jia, Wenjie Xu, Zhongwang Wei, Xiaolang Zhang, Yiguang Zou, Jeffrey McDonnell, Laura Condon, Yongjiu Dai, and Reed Maxwell
Hydrol. Earth Syst. Sci., 29, 2201–2218, https://doi.org/10.5194/hess-29-2201-2025, https://doi.org/10.5194/hess-29-2201-2025, 2025
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We developed the first high-resolution, integrated surface water–groundwater hydrologic model of the entirety of continental China using ParFlow. The model shows good performance in terms of streamflow and water table depth when compared to global data products and observations. It is essential for water resources management and decision-making in China within a consistent framework in the changing world. It also has significant implications for similar modeling in other places in the world.
Haifan Liu, Haochen Yan, and Mingfu Guan
Hydrol. Earth Syst. Sci., 29, 2109–2132, https://doi.org/10.5194/hess-29-2109-2025, https://doi.org/10.5194/hess-29-2109-2025, 2025
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Land changes and landscape features critically impact water systems. Studying two watersheds in China’s Greater Bay Area, we found slope strongly influences water processes in mountainous areas. However, this relationship is weak in the lower regions of steeper watersheds. Urbanization leads to an increase in annual surface runoff, while flatter watersheds exhibit a buffering capacity against this effect. However, this buffering capacity diminishes with increasing annual rainfall intensity.
Fabián Lema, Pablo A. Mendoza, Nicolás A. Vásquez, Naoki Mizukami, Mauricio Zambrano-Bigiarini, and Ximena Vargas
Hydrol. Earth Syst. Sci., 29, 1981–2002, https://doi.org/10.5194/hess-29-1981-2025, https://doi.org/10.5194/hess-29-1981-2025, 2025
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Hydrological droughts affect ecosystems and socioeconomic activities worldwide. Despite the fact that they are commonly described with the Standardized Streamflow Index (SSI), there is limited understanding of what they truly reflect in terms of water cycle processes. Here, we used state-of-the-art hydrological models in Andean basins to examine drivers of SSI fluctuations. The results highlight the importance of careful selection of indices and timescales for accurate drought characterization and monitoring.
Sebastian Gegenleithner, Manuel Pirker, Clemens Dorfmann, Roman Kern, and Josef Schneider
Hydrol. Earth Syst. Sci., 29, 1939–1962, https://doi.org/10.5194/hess-29-1939-2025, https://doi.org/10.5194/hess-29-1939-2025, 2025
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Accurate early-warning systems are crucial for reducing the damage caused by flooding events. In this study, we explored the potential of long short-term memory networks for enhancing the forecast accuracy of hydrologic models employed in operational flood forecasting. The presented approach elevated the investigated hydrologic model’s forecast accuracy for further ahead predictions and at flood event runoff.
Mahmut Tudaji, Yi Nan, and Fuqiang Tian
Hydrol. Earth Syst. Sci., 29, 1919–1937, https://doi.org/10.5194/hess-29-1919-2025, https://doi.org/10.5194/hess-29-1919-2025, 2025
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Common intuition holds that higher input data resolution leads to better results. To assess the benefits of high-resolution data, we conduct simulation experiments using data with various temporal resolutions across multiple catchments and find that higher-resolution data do not always improve model performance, challenging the necessity of pursuing such data. In catchments with small areas or significant flow variability, high-resolution data is more valuable.
Muhammad Ibrahim, Miriam Coenders-Gerrits, Ruud van der Ent, and Markus Hrachowitz
Hydrol. Earth Syst. Sci., 29, 1703–1723, https://doi.org/10.5194/hess-29-1703-2025, https://doi.org/10.5194/hess-29-1703-2025, 2025
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The quantification of precipitation into evaporation and runoff is vital for water resources management. The Budyko framework, based on aridity and evaporative indices of a catchment, can be an ideal tool for that. However, recent research highlights deviations of catchments from the expected evaporative index, casting doubt on its reliability. This study quantifies deviations of 2387 catchments, finding them minor and predictable. Integrating these into predictions upholds the framework's efficacy.
Anne-Laure Argentin, Pascal Horton, Bettina Schaefli, Jamal Shokory, Felix Pitscheider, Leona Repnik, Mattia Gianini, Simone Bizzi, Stuart N. Lane, and Francesco Comiti
Hydrol. Earth Syst. Sci., 29, 1725–1748, https://doi.org/10.5194/hess-29-1725-2025, https://doi.org/10.5194/hess-29-1725-2025, 2025
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In this article, we show that by taking the optimal parameters calibrated with a semi-lumped model for the discharge at a catchment's outlet, we can accurately simulate runoff at various points within the study area, including three nested and three neighboring catchments. In addition, we demonstrate that employing more intricate melt models, which better represent physical processes, enhances the transfer of parameters in the simulation, until we observe overparameterization.
Ryan S. Padrón, Massimiliano Zappa, Luzi Bernhard, and Konrad Bogner
Hydrol. Earth Syst. Sci., 29, 1685–1702, https://doi.org/10.5194/hess-29-1685-2025, https://doi.org/10.5194/hess-29-1685-2025, 2025
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We generate operational forecasts of daily maximum stream water temperature for 32 consecutive days at 54 stations in Switzerland with our best-performing data-driven model. The average forecast error is 0.38 °C for 1 d ahead and increases to 0.90 °C for 32 d ahead given the uncertainty in the meteorological variables influencing water temperature. Here we compare the skill of several models, how well they can forecast at new and ungauged stations, and the importance of different model inputs.
Eduardo Acuña Espinoza, Frederik Kratzert, Daniel Klotz, Martin Gauch, Manuel Álvarez Chaves, Ralf Loritz, and Uwe Ehret
Hydrol. Earth Syst. Sci., 29, 1749–1758, https://doi.org/10.5194/hess-29-1749-2025, https://doi.org/10.5194/hess-29-1749-2025, 2025
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Long short-term memory (LSTM) networks have demonstrated state-of-the-art performance for rainfall-runoff hydrological modelling. However, most studies focus on predictions at a daily scale, limiting the benefits of sub-daily (e.g. hourly) predictions in applications like flood forecasting. In this study, we introduce a new architecture, multi-frequency LSTM (MF-LSTM), designed to use inputs of various temporal frequencies to produce sub-daily (e.g. hourly) predictions at a moderate computational cost.
Louise Mimeau, Annika Künne, Alexandre Devers, Flora Branger, Sven Kralisch, Claire Lauvernet, Jean-Philippe Vidal, Núria Bonada, Zoltán Csabai, Heikki Mykrä, Petr Pařil, Luka Polović, and Thibault Datry
Hydrol. Earth Syst. Sci., 29, 1615–1636, https://doi.org/10.5194/hess-29-1615-2025, https://doi.org/10.5194/hess-29-1615-2025, 2025
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Our study projects how climate change will affect the drying of river segments and stream networks in Europe, using advanced modelling techniques to assess changes in six river networks across diverse ecoregions. We found that drying events will become more frequent and intense and will start earlier or last longer, potentially turning some river sections from perennial to intermittent. The results are valuable for river ecologists for evaluating the ecological health of river ecosystem.
Tariq Aziz, Steven K. Frey, David R. Lapen, Susan Preston, Hazen A. J. Russell, Omar Khader, Andre R. Erler, and Edward A. Sudicky
Hydrol. Earth Syst. Sci., 29, 1549–1568, https://doi.org/10.5194/hess-29-1549-2025, https://doi.org/10.5194/hess-29-1549-2025, 2025
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This study determines the value of subsurface water for ecosystem services' supply in an agricultural watershed in Ontario, Canada. Using a fully integrated water model and an economic valuation approach, the research highlights subsurface water's critical role in maintaining watershed ecosystem services. The study informs on the sustainable use of subsurface water and introduces a new method for managing watershed ecosystem services.
Eduardo Acuña Espinoza, Ralf Loritz, Frederik Kratzert, Daniel Klotz, Martin Gauch, Manuel Álvarez Chaves, and Uwe Ehret
Hydrol. Earth Syst. Sci., 29, 1277–1294, https://doi.org/10.5194/hess-29-1277-2025, https://doi.org/10.5194/hess-29-1277-2025, 2025
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Data-driven techniques have shown the potential to outperform process-based models in rainfall–runoff simulations. Hybrid models, combining both approaches, aim to enhance accuracy and maintain interpretability. Expanding the set of test cases to evaluate hybrid models under different conditions, we test their generalization capabilities for extreme hydrological events.
Basil Kraft, Michael Schirmer, William H. Aeberhard, Massimiliano Zappa, Sonia I. Seneviratne, and Lukas Gudmundsson
Hydrol. Earth Syst. Sci., 29, 1061–1082, https://doi.org/10.5194/hess-29-1061-2025, https://doi.org/10.5194/hess-29-1061-2025, 2025
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This study reconstructs daily runoff in Switzerland (1962–2023) using a deep-learning model, providing a spatially contiguous dataset on a medium-sized catchment grid. The model outperforms traditional hydrological methods, revealing shifts in Swiss water resources, including more frequent dry years and declining summer runoff. The reconstruction is publicly available.
Mengjiao Zhang, Yi Nan, and Fuqiang Tian
Hydrol. Earth Syst. Sci., 29, 1033–1060, https://doi.org/10.5194/hess-29-1033-2025, https://doi.org/10.5194/hess-29-1033-2025, 2025
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Owing to differences in the existing published results, we conducted a detailed analysis of the runoff components and future trends in the Yarlung Tsangpo River basin and found that the contributions of snowmelt and glacier melt runoff to streamflow (both ~5 %) are limited and much lower than previous results. The streamflow in this area will continuously increase in the future, but the overestimated contribution of glacier melt could lead to an underestimation of this increasing trend.
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
Preprint under review 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.
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.
Mahmut Tudaji, Yi Nan, and Fuqiang Tian
EGUsphere, https://doi.org/10.5194/egusphere-2024-2966, https://doi.org/10.5194/egusphere-2024-2966, 2024
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We assessed the value of high-resolution data and parameters transferability across temporal scales based on 7 catchments in northern China. We found that higher resolution data does not always improve model performance, questioning the need for such data; Model parameters are transferable across different data resolutions, but not across computational time steps. It is recommended to utilize smaller computational time step when building hydrological models even without high-resolution data.
Bu Li, Ting Sun, Fuqiang Tian, Mahmut Tudaji, Li Qin, and Guangheng Ni
Hydrol. Earth Syst. Sci., 28, 4521–4538, https://doi.org/10.5194/hess-28-4521-2024, https://doi.org/10.5194/hess-28-4521-2024, 2024
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This paper developed hybrid semi-distributed hydrological models by employing a process-based model as the backbone and utilizing deep learning to parameterize and replace internal modules. The main contribution is to provide a high-performance tool enriched with explicit hydrological knowledge for hydrological prediction and to improve understanding about the hydrological sensitivities to climate change in large alpine basins.
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.
Magali Ponds, Sarah Hanus, Harry Zekollari, Marie-Claire ten Veldhuis, Gerrit Schoups, Roland Kaitna, and Markus Hrachowitz
Hydrol. Earth Syst. Sci. Discuss., https://doi.org/10.5194/hess-2024-260, https://doi.org/10.5194/hess-2024-260, 2024
Revised manuscript accepted for HESS
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This research examines how future climate changes impact root zone storage, a crucial hydrological model parameter. Root zone storage—the soil water accessible to plants—adapts to climate but is often treated as constant in models. We estimated climate-adapted storage for six Austrian Alps catchments. Although storage increased, streamflow projections showed minimal change, indicating that dynamic root zone representation is less critical in humid regions but warrants more study in arid areas.
Zehua Chang, Hongkai Gao, Leilei Yong, Kang Wang, Rensheng Chen, Chuntan Han, Otgonbayar Demberel, Batsuren Dorjsuren, Shugui Hou, and Zheng Duan
Hydrol. Earth Syst. Sci., 28, 3897–3917, https://doi.org/10.5194/hess-28-3897-2024, https://doi.org/10.5194/hess-28-3897-2024, 2024
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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.
Cited articles
Almeida, I., Kaufmann Almeida, A., Ayach Anache, J., Steffen, J., and
Alves Sobrinho, T.: Estimation on Time of Concentration of Overland Flow in
Watersheds: A Review, Geociencias, 33, 661–671, 2015.
Anquetin, S., Braud, I., Vannier, O., Viallet, P., Boudevillain, B., Creutin,
J.-D., and Manus, C.: Sensitivity of the hydrological response to the
variability of rainfall fields and soils for the Gard 2002 flash-flood event,
J. Hydrol., 394, 134–147, 2010.
Antonetti, M., Buss, R., Scherrer, S., Margreth, M., and Zappa, M.: Mapping
dominant runoff processes: an evaluation of different approaches using
similarity measures and synthetic runoff simulations, Hydrol. Earth Syst.
Sci., 20, 2929–2945, https://doi.org/10.5194/hess-20-2929-2016, 2016.
Artinyan, E., Vincendon, B., Kroumova, K., Nedkov, N., Tsarev, P., Balabanova,
S., and Koshinchanov, G.: Flood forecasting and alert system for Arda River
basin, J. Hydrol., 541, 457–470, 2016.
Ballabio, C., Panagos, P., and Monatanarella, L.: Mapping topsoil physical
properties at European scale using the LUCAS database, Geoderma, 261,
110–123, 2016.
Beven, K. and Kirkby, M. J.: A physically based, variable contributing area
model of basin hydrology/Un modèle à base physique de zone d'appel
variable de l'hydrologie du bassin versant, Hydrolog. Sci. J.,
24, 43–69, 1979.
Blöschl, G.: Scaling in hydrology, Hydrol. Process., 15, 709–711,
2001.
Blöschl, G., Ardoin-Bardin, S., Bonell, M., Dorninger, M., Goodrich, D.,
Gutknecht, D., Matamoros, D., Merz, B., Shand, P., and Szolgay, J.: At what
scales do climate variability and land cover change impact on flooding and
low flows?, Hydrol. Process., 21, 1241–1247,
2007.
Boudevillain, B., Delrieu, G., Galabertier, B., Bonnifait, L., Bouilloud, L.,
Kirstetter, P.-E., and Mosini, M.-L.: The Cévennes-Vivarais Mediterranean
Hydrometeorological Observatory database, Water Resour. Res., 47 W07701, https://doi.org/10.1029/2010WR010353, 2011.
Bouilloud, L., Chancibault, K., Vincendon, B., Ducrocq, V., Habets, F.,
Saulnier, G.-M., Anquetin, S., Martin, E., and Noilhan, J.: Coupling the ISBA
land surface model and the TOPMODEL hydrological model for Mediterranean
flash-flood forecasting: description, calibration, and validation, J.
Hydrometeorol., 11, 315–333, 2010.
Braud, I., Ayral, P.-A., Bouvier, C., Branger, F., Delrieu, G., Le Coz, J.,
Nord, G., Vandervaere, J.-P., Anquetin, S., Adamovic, M., Andrieu, J.,
Batiot, C., Boudevillain, B., Brunet, P., Carreau, J., Confoland, A.,
Didon-Lescot, J.-F., Domergue, J.-M., Douvinet, J., Dramais, G., Freydier,
R., Gérard, S., Huza, J., Leblois, E., Le Bourgeois, O., Le Boursicaud,
R., Marchand, P., Martin, P., Nottale, L., Patris, N., Renard, B., Seidel,
J.-L., Taupin, J.-D., Vannier, O., Vincendon, B., and Wijbrans, A.:
Multi-scale hydrometeorological observation and modelling for flash flood
understanding, Hydrol. Earth Syst. Sci., 18, 3733–3761,
https://doi.org/10.5194/hess-18-3733-2014, 2014.
Chaplot, V.: Impact of spatial input data resolution on hydrological and
erosion modeling: Recommendations from a global assessment, Phys.
Chem. Earth Pt. A/B/C, 67, 23–35, 2014.
Clapp, R. B. and Hornberger, G. M.: Empirical equations for some soil hydraulic
properties, Water Resour. Res., 14, 601–604, 1978.
Cotter, A. S., Chaubey, I., Costello, T. A., Soerens, T. S., and Nelson, M. A.:
Water quality model output uncertainty as affected by spatial resolution of
input data, J. Am. Water Resour. As., 39,
977–986, 2003.
Drobinski, P., Ducrocq, V., Alpert, P., Anagnostou, E., Béranger K., Borga,
M., Braud, I., Chanzy, A., Davolio, S., Delrieu, G., Estournel, C.,
Boubrahmi, N., Filali, Font, J., Grubišić, V., Gualdi, S., Homar, V.,
Ivančan-Picek, B., Kottmeier, C., Kotroni, V., Lagouvardos, K., Lionello,
P., Llasat, M. C., Ludwig, W., Lutoff, C., Mariotti, A., Richard, E., Romero,
R., Rotunno, R., Roussot, O., Ruin, I., Somot, S., Taupier-Letage, I.,
Tintore, J., Uijlenhoet, R., and Wernli, H.: HyMeX: A
10-year multidisciplinary program on the Mediterranean water cycle, B.
Am. Meteorol. Soc., 95, 1063–1082, 2014.
Ducrocq, V., Braud, I., Davolio, S., Ferretti, R., Flamant, C., Jansa, A.,
Kalthoff, N., Richard, E., Taupier-Letage, I., Ayral, P.-A., Belamari, S., Berne, A., Borga, M., Boudevillain, B., Bock, O., Boichard, J.-L., Bouin,
M.-N., Bousquet, O., Bouvier, C., and Chiggiato, J.:
HyMeX-SOP1: The field campaign dedicated to heavy precipitation and flash
flooding in the northwestern Mediterranean, B. Am.
Meteorol. Soc., 95, 1083–1100, 2014.
Dutta, D. and Nakayama, K.: Effects of spatial grid resolution on river flow
and surface inundation simulation by physically based distributed modelling
approach, Hydrol. Process., 23, 534–545,
2009.
Edouard, S., Vincendon, B., and Ducrocq, V.: Ensemble-based flash-flood
modelling: Taking into account hydrodynamic parameters and initial soil
moisture uncertainties, J. Hydrol., 560, 480–494, 2018.
Egüen, M., Aguilar, C., Herrero, J., Millares, A., and Polo, M. J.: On
the influence of cell size in physically-based distributed hydrological
modelling to assess extreme values in water resource planning, Nat. Hazards
Earth Syst. Sci., 12, 1573–1582, https://doi.org/10.5194/nhess-12-1573-2012,
2012.
Faroux, S., Kaptué Tchuenté, A. T., Roujean, J.-L., Masson, V.,
Martin, E., and Le Moigne, P.: ECOCLIMAP-II/Europe: a twofold database of
ecosystems and surface parameters at 1 km resolution based on satellite
information for use in land surface, meteorological and climate models,
Geosci. Model Dev., 6, 563–582, https://doi.org/10.5194/gmd-6-563-2013,
2013.
Ferraris, L., Rudari, R., and Siccardi, F.: The uncertainty in the prediction
of flash floods in the northern Mediterranean environment, J.
Hydrometeorol., 3, 714–727, 2002.
Flügel, W.-A.: Delineating hydrological response units by geographical
information system analyses for regional hydrological modelling using
PRMS/MMS in the drainage basin of the River Bröl, Germany, Hydrol.
Process., 9, 423–436, 1995.
Garambois, P.-A., Roux, H., Larnier, K., Labat, D., and Dartus, D.: Parameter
regionalization for a process-oriented distributed model dedicated to flash
floods, J. Hydrol., 525, 383–399, 2015.
Gaume, E., Borga, M., Llassat, M. C., Maouche, S., Lang, M., and Diakakis, M.:
Mediterranean extreme floods and flash floods, (Sub-chapter 1.3.4), Allenvi, The Mediterranean Region under
Climate Change, A Scientific Update, Coll. Synthéses, IRD Editions,
133–144, 2016.
Gharari, S., Hrachowitz, M., Fenicia, F., Gao, H., and Savenije, H. H. G.:
Using expert knowledge to increase realism in environmental system models can
dramatically reduce the need for calibration, Hydrol. Earth Syst. Sci., 18,
4839–4859, https://doi.org/10.5194/hess-18-4839-2014, 2014a.
Gharari, S., Shafiei, M., Hrachowitz, M., Kumar, R., Fenicia, F., Gupta, H.
V., and Savenije, H. H. G.: A constraint-based search algorithm for parameter
identification of environmental models, Hydrol. Earth Syst. Sci., 18,
4861–4870, https://doi.org/10.5194/hess-18-4861-2014, 2014.b.
Habets, F., Boone, A., Champeaux, J.-L., Etchevers, P., Franchisteguy, L.,
Leblois, E., Ledoux, E., Le Moigne, P., Martin, E., Morel, S., Noilhan, J., Quintana-Segui, P., Rousset-Regimbeau, F., and Viennot, P.: The
SAFRAN-ISBA-MODCOU hydrometeorological model applied over France, J.
Geophys. Res.-Atmos., American Geophysical Union, 113, 18 pp., 2008.
Hardy, J., Gourley, J. J., Kirstetter, P.-E., Hong, Y., Kong, F., and Flamig,
Z. L.: A method for probabilistic flash flood forecasting, J.
Hydrol., 541, 480–494, 2016.
Hengl, T.: Finding the right pixel size, Comput. Geosci., 32,
1283–1298, 2006.
Jarvis, A., Rubiano, J. E., Nelson, A., Farrow, A., and Mulligan, M.:
Practical use of SRTM data in the tropics: Comparisons with digital elevation
models generated from cartographic data, Cali, CO: Centro Internacional de
Agricultura Tropical (CIAT), p. 32, Working document no. 198, 2004.
Javelle, P., Demargne, J., Defrance, D., Pansu, J., and Arnaud, P.: Evaluating
flash-flood warnings at ungauged locations using post-event surveys: a case
study with the AIGA warning system, Hydrolog. Sci. J., 59,
1390–1402, 2014.
Kamali, B., Abbaspour, K. C., and Yang, H.: Assessing the Uncertainty of
Multiple Input Datasets in the Prediction of Water Resource Components,
Water, 9, 709, https://doi.org/10.3390/w9090709, 2017.
Kumar, S. and Merwade, V.: Impact of watershed subdivision and soil data
resolution on SWAT model calibration and parameter uncertainty, J.
Am. Water Resour. As., 45, 1179–1196, 2009.
Lagadec, L.-R., Breil, P., Chazelle, B., Braud, I., and Moulin, L.: Use of
post-event surveys of impacts on railways for the evaluation of the IRIP
method for surface runoff mapping, in: E3S Web of Conferences, vol. 7, p. 10005,
EDP Sciences, 2016.
Laurantin, O.: ANTILOPE: Hourly rainfall analysis merging radar and rain gauge
data, in: Proceedings of the International Symposium on Weather Radar and
Hydrology, Grenoble, France, 10–12 March 2008, 2–8, 2008.
Lee, Y. and Singh, V.: Application of the Kalman filter to the Nash model,
Hydrol. Process., 12, 755–767, 1998.
Liu, Y., Weerts, A. H., Clark, M., Hendricks Franssen, H.-J., Kumar, S.,
Moradkhani, H., Seo, D.-J., Schwanenberg, D., Smith, P., van Dijk, A. I. J.
M., van Velzen, N., He, M., Lee, H., Noh, S. J., Rakovec, O., and Restrepo,
P.: Advancing data assimilation in operational hydrologic forecasting:
progresses, challenges, and emerging opportunities, Hydrol. Earth Syst. Sci.,
16, 3863–3887, https://doi.org/10.5194/hess-16-3863-2012, 2012.
Maidment, D. R.: Handbook of hydrology, vol. 1, McGraw-Hill, New York,
1993.
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, 2010.
Masson, V., Champeaux, J.-L., Chauvin, F., Meriguet, C.,
and Lacaze, R.: A
global database of land surface parameters at 1-km resolution in
meteorological and climate models, J. Climate, 16, 1261–1282, 2003.
McBride, J. L. and Ebert, E. E.: Verification of quantitative precipitation
forecasts from operational numerical weather prediction models over
Australia, Weather Forecast., 15, 103–121, 2000.
Nachtergaele, F., van Velthuizen, H., Verelst, L., Wiberg, D., Batjes, N.,
Dijkshoorn, K., van Engelen, V., Fischer, G., Jones, A., and Montanarela, L.:
The harmonized world soil database. Version 1.2, in: Harmonized World Soil
Database (version 1.2). FAO, Rome, Italy and IIASA, Laxenburg, Austria,
2012.
Nash, J. E. and Sutcliffe, J. V.: River flow forecasting through conceptual
models part I – A discussion of principles, J. Hydrol., 10,
282–290, 1970.
Noilhan, J. and Planton, S.: A simple parameterization of land surface
processes for meteorological models, Mon. Weather Rev., 117, 536–549,
1989.
Nuissier, O., Marsigli, C., Vincendon, B., Hally, A., Bouttier, F., Montani,
A., and Paccagnella, T.: Evaluation of two convection-permitting ensemble
systems in the HyMeX Special Observation Period (SOP1) framework, Q.
J. Roy. Meteor. Soc., 142, 404–418, 2016.
Payrastre, O., Lebouc, L., Ayral, P. A., Brunet, P., Delrieu, G., Douvinet, J.,
Dramais, G., Javelle, P., Johannet, A., Adamovic, M., Adnes, C., Cantet, P., Chapuis, M., Coutouis, A., Creutin, J.-D.,
Gonzalez-Sosa, E., Ruin, I., Saint-Martin, C., Shabou, S., and Whilhelm, B.:
The October
2015 flash-floods in south eastern France: first discharge estimations and
comparison with other flash-floods documented in the framework of the Hymex
project, in: EGU General Assembly Conference Abstracts, vol. 18, p. 13912,
2016.
Payrastre, O., Ayral, P.-A., Barachet, C., Borell, V., Boudevillain, B.,
Bouvier, C., Brunet, P., Cantet, P., Coussot, C., Delrieu, G., Despax, A.,
Didon-Lescot, J.-F., Domergue, M., Ecrepont, S., Froidurot, S., Grard, N.,
Lagadec, L.-R., Le Bihan, G., Le Boursicaud, R., Mansanarez, V., Marchand,
P., Martin, P., Mosini, M.-L., Mosset, A., Navas, R., Neppel, L., Perez, S.,
Raynaud, F., Saint-Martin, C., and Wijbrans, A.: Hydrological post event
survey after the autumn 2014
floods in the Cévennes region in France: results and first hydrological
analyses, in: 9th HyMeX workshop, 21–25 September 2015, Mykonos, Greece,
2015.
Pellarin, T., Delrieu, G., Saulnier, G.-M., Andrieu, H., Vignal, B., and
Creutin, J.-D.: Hydrologic visibility of weather radar systems operating in
mountainous regions: Case study for the Ardeche catchment (France), J.
Hydrometeorol., 3, 539–555, 2002.
Piotte, O., Boura, C., Cazaubon, A., Chaléon, C., Chambon, D., Guillevic,
G., Pasquet, F., Perherin, C., and Raimbault, E.: Collection, storage and
management of high-water marks data: praxis and recommendations, in: E3S Web
of Conferences, vol. 7, p. 16003, EDP Sciences, 2016.
Ricard, D., Ducrocq, V., and Auger, L.: A climatology of the mesoscale
environment associated with heavily precipitating events over a northwestern
Mediterranean area, J. Appl. Meteorol. Clim., 51,
468–488, 2012.
Roux, H., Labat, D., Garambois, P.-A., Maubourguet, M.-M., Chorda, J., and
Dartus, D.: A physically-based parsimonious hydrological model for flash
floods in Mediterranean catchments, Nat. Hazards Earth Syst. Sci., 11,
2567–2582, https://doi.org/10.5194/nhess-11-2567-2011, 2011.
Rozalis, S., Morin, E., Yair, Y., and Price, C.: Flash flood prediction using
an uncalibrated hydrological model and radar rainfall data in a Mediterranean
watershed under changing hydrological conditions, J. Hydrol., 394,
245–255, 2010.
Saint-Martin, C., Javelle, P., and Vinet, F.: DamaGIS: a multisource
geodatabase for collection of flood-related damage data, Earth Syst. Sci.
Data, 10, 1019–1029, https://doi.org/10.5194/essd-10-1019-2018, 2018.
Savenije, H. H. G.: HESS Opinions “Topography driven conceptual modelling
(FLEX-Topo)”, Hydrol. Earth Syst. Sci., 14, 2681–2692,
https://doi.org/10.5194/hess-14-2681-2010, 2010.
Schaake, J. C., Hamill, T. M., Buizza, R., and Clark, M.: HEPEX: the
hydrological ensemble prediction experiment, B. Am.
Meteorol. Soc., 88, 1541–1547, 2007.
SCS: SCS National Engineering Handbook Soil Conservation Service, US
Department of Agriculture, Washington D.C., 1964.
Sharifi, A. and Kalin, L.: Effect of land use uncertainty on watershed
modeling, in: World Environmental and Water Resources Congress 2010:
Challenges of Change, 4730–4739, 2010.
Silvestro, F. and Rebora, N.: Impact of precipitation forecast uncertainties
and initial soil moisture conditions on a probabilistic flood forecasting
chain, J. Hydrology, 519, 1052–1067, 2014.
Tubiello, F. N., Biancalani, R., Salvatore, M., Rossi, S., and Conchedda, G.: A
worldwide assessment of greenhouse gas emissions from drained organic soils,
Sustainability, 8, 371, https://doi.org/10.3390/su8040371, 2016.
Van Steenbergen, N. and Willems, P.: Rainfall uncertainty in flood forecasting:
Belgian case study of Rivierbeek, J. Hydrol. Eng., 19,
05014013, https://doi.org/10.1061/(ASCE)HE.1943-5584.0001004, 2014.
Vázquez, R., Feyen, L., Feyen, J., and Refsgaard, J.: Effect of grid size
on effective parameters and model performance of the MIKE-SHE code,
Hydrol. Process., 16, 355–372, 2002.
Vincendon, B., Ducrocq, V., Nuissier, O., and Vié, B.: Perturbation of
convection-permitting NWP forecasts for flash-flood ensemble forecasting,
Nat. Hazards Earth Syst. Sci., 11, 1529–1544,
https://doi.org/10.5194/nhess-11-1529-2011, 2011.
Vincendon, B., Édouard, S., Dewaele, H., Ducrocq, V., Lespinas, F.,
Delrieu, G., and Anquetin, S.: Modeling flash floods in southern France for
road management purposes, J. Hydrol., 541, 190–205, 2016.
Vivoni, E. R., Entekhabi, D., and Hoffman, R. N.: Error propagation of radar
rainfall nowcasting fields through a fully distributed flood forecasting
model, J. Appl. Meteorol. Clim., 46, 932–940, 2007.
Yen, H., Sharifi, A., Kalin, L., Mirhosseini, G., and Arnold, J. G.: Assessment
of model predictions and parameter transferability by alternative land use
data on watershed modeling, J. Hydrol., 527, 458–470, 2015.
Zalachori, I., Ramos, M.-H., Garçon, R., Mathevet, T., and Gailhard, J.:
Statistical processing of forecasts for hydrological ensemble prediction: a
comparative study of different bias correction strategies, Adv.
Sci. Res., 8, 135–141, 2012.
Zappa, M., Jaun, S., Germann, U., Walser, A., and Fundel, F.: Superposition of
three sources of uncertainties in operational flood forecasting chains,
Atmos. Res., 100, 246–262, 2011.
Short summary
This work aims to estimate the extent to which the terrain descriptors and the spatial resolution of the hydrological model influence flash-flood modelling at the local and basin scale. The skill of the hydrological simulations is evaluated with conventional data (such as discharge measurements) and impact data (post-event surveys and high-water marks). The results reveal that the spatial resolution has the largest impact on the hydrological simulations, larger than soil texture and land cover.
This work aims to estimate the extent to which the terrain descriptors and the spatial...
