Articles | Volume 25, issue 4
https://doi.org/10.5194/hess-25-2133-2021
© Author(s) 2021. 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-25-2133-2021
© Author(s) 2021. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
How catchment characteristics influence hydrological pathways and travel times in a boreal landscape
Department of Forest Ecology and Management, Swedish University of
Agricultural Sciences, 901 83 Umeå, Sweden
DHI Sweden AB, Skeppsbron 28, 111 30 Stockholm, Sweden
Fredrik Lidman
Department of Forest Ecology and Management, Swedish University of
Agricultural Sciences, 901 83 Umeå, Sweden
Emma Lindborg
DHI Sweden AB, Skeppsbron 28, 111 30 Stockholm, Sweden
Ylva Sjöberg
Center for Permafrost (CENPERM), Department of Geosciences and Natural
Resource Management, University of Copenhagen, Øster Voldgade 10, 1350
Copenhagen, Denmark
Hjalmar Laudon
Department of Forest Ecology and Management, Swedish University of
Agricultural Sciences, 901 83 Umeå, Sweden
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Alexa Marion Hinzman, Ylva Sjöberg, Steve W. Lyon, Wouter R. Berghuijs, and Ype van der Velde
EGUsphere, https://doi.org/10.5194/egusphere-2023-2391, https://doi.org/10.5194/egusphere-2023-2391, 2023
Preprint archived
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An Arctic catchment with permafrost responds in a linear fashion: water in=water out. As permafrost thaws, 9 of 10 nested catchments become more non-linear over time. We find upstream catchments have stronger streamflow seasonality and exhibit the most nonlinear storage-discharge relationships. Downstream catchments have the greatest increases in non-linearity over time. These long-term shifts in the storage-discharge relationship are not typically seen in current hydrological models.
Anna Lupon, Stefan Willem Ploum, Jason Andrew Leach, Lenka Kuglerová, and Hjalmar Laudon
Hydrol. Earth Syst. Sci., 27, 613–625, https://doi.org/10.5194/hess-27-613-2023, https://doi.org/10.5194/hess-27-613-2023, 2023
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Discrete riparian inflow points (DRIPs) transport dissolved organic carbon (DOC) from large areas to discrete sections of streams, yet the mechanisms by which DRIPs affect stream DOC concentration, cycling, and export are still unknown. Here, we tested four models that account for different hydrologic and biological representations to show that DRIPs generally reduce DOC exports by either diluting stream DOC (snowmelt period) or promoting aquatic metabolism (summer).
Johannes Larson, William Lidberg, Anneli M. Ågren, and Hjalmar Laudon
Hydrol. Earth Syst. Sci., 26, 4837–4851, https://doi.org/10.5194/hess-26-4837-2022, https://doi.org/10.5194/hess-26-4837-2022, 2022
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Terrain indices constitute a good candidate for modelling the spatial variation of soil moisture conditions in many landscapes. In this study, we evaluate nine terrain indices on varying DEM resolution and user-defined thresholds with validation using an extensive field soil moisture class inventory. We demonstrate the importance of field validation for selecting the appropriate DEM resolution and user-defined thresholds and that failing to do so can result in ambiguous and incorrect results.
Conrad Jackisch, Sibylle K. Hassler, Tobias L. Hohenbrink, Theresa Blume, Hjalmar Laudon, Hilary McMillan, Patricia Saco, and Loes van Schaik
Hydrol. Earth Syst. Sci., 25, 5277–5285, https://doi.org/10.5194/hess-25-5277-2021, https://doi.org/10.5194/hess-25-5277-2021, 2021
Nataliia Kozii, Kersti Haahti, Pantana Tor-ngern, Jinshu Chi, Eliza Maher Hasselquist, Hjalmar Laudon, Samuli Launiainen, Ram Oren, Matthias Peichl, Jörgen Wallerman, and Niles J. Hasselquist
Hydrol. Earth Syst. Sci., 24, 2999–3014, https://doi.org/10.5194/hess-24-2999-2020, https://doi.org/10.5194/hess-24-2999-2020, 2020
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The hydrologic cycle is one of the greatest natural processes on Earth and strongly influences both regional and global climate as well as ecosystem functioning. Results from this study clearly show the central role trees play in regulating the water cycle of boreal catchments, implying that forest management impacts on stand structure as well as climate change effects on tree growth are likely to have large cascading effects on the way water moves through boreal forested landscapes.
Navid Ghajarnia, Georgia Destouni, Josefin Thorslund, Zahra Kalantari, Imenne Åhlén, Jesús A. Anaya-Acevedo, Juan F. Blanco-Libreros, Sonia Borja, Sergey Chalov, Aleksandra Chalova, Kwok P. Chun, Nicola Clerici, Amanda Desormeaux, Bethany B. Garfield, Pierre Girard, Olga Gorelits, Amy Hansen, Fernando Jaramillo, Jerker Jarsjö, Adnane Labbaci, John Livsey, Giorgos Maneas, Kathryn McCurley Pisarello, Sebastián Palomino-Ángel, Jan Pietroń, René M. Price, Victor H. Rivera-Monroy, Jorge Salgado, A. Britta K. Sannel, Samaneh Seifollahi-Aghmiuni, Ylva Sjöberg, Pavel Terskii, Guillaume Vigouroux, Lucia Licero-Villanueva, and David Zamora
Earth Syst. Sci. Data, 12, 1083–1100, https://doi.org/10.5194/essd-12-1083-2020, https://doi.org/10.5194/essd-12-1083-2020, 2020
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Hydroclimate and land-use conditions determine the dynamics of wetlands and their ecosystem services. However, knowledge and data for conditions and changes over entire wetlandscapes are scarce. This paper presents a novel database for 27 wetlandscapes around the world, combining survey-based local information and hydroclimatic and land-use datasets. The developed database can enhance our capacity to understand and manage critical wetland ecosystems and their services under global change.
Stefan W. Ploum, Hjalmar Laudon, Andrés Peralta-Tapia, and Lenka Kuglerová
Hydrol. Earth Syst. Sci., 24, 1709–1720, https://doi.org/10.5194/hess-24-1709-2020, https://doi.org/10.5194/hess-24-1709-2020, 2020
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Near-stream areas, or riparian zones, are important for the health of streams and rivers. If these areas are disturbed by forestry or other anthropogenic activity, the water quality and all life in streams may be at risk. We examined which riparian areas are particularly sensitive. We found that only a few wet areas bring most of the rainwater from the landscape to the stream, and they have a unique water quality. In order to maintain healthy streams and rivers, these areas should be protected.
Aaron Smith, Doerthe Tetzlaff, Hjalmar Laudon, Marco Maneta, and Chris Soulsby
Hydrol. Earth Syst. Sci., 23, 3319–3334, https://doi.org/10.5194/hess-23-3319-2019, https://doi.org/10.5194/hess-23-3319-2019, 2019
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We adapted and used a spatially distributed eco-hydrological model, EcH2O-iso, to temporally evaluate the influence of soil freeze–thaw dynamics on evaporation and transpiration fluxes in a northern Swedish catchment. We used multi-criterion calibration over multiple years and found an early-season influence of soil frost on transpiration water ages. This work provides a framework for quantifying the current and future interactions of soil water, evaporation, and transpiration.
Marcus Klaus, Erik Geibrink, Anders Jonsson, Ann-Kristin Bergström, David Bastviken, Hjalmar Laudon, Jonatan Klaminder, and Jan Karlsson
Biogeosciences, 15, 5575–5594, https://doi.org/10.5194/bg-15-5575-2018, https://doi.org/10.5194/bg-15-5575-2018, 2018
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Forest management is widely used to mitigate climate change. However, forest greenhouse gas (GHG) budgets neglect to consider that clear-cuts often release carbon and nitrogen into streams and lakes and may affect aquatic GHG emissions. Here, we show that such emissions remain unaffected by experimental boreal forest clear-cutting despite increased groundwater carbon dioxide and methane concentrations, highlighting that riparian zones or in-stream processes may have buffered clear-cut leachates.
Matthias Sprenger, Doerthe Tetzlaff, Jim Buttle, Hjalmar Laudon, and Chris Soulsby
Hydrol. Earth Syst. Sci., 22, 3965–3981, https://doi.org/10.5194/hess-22-3965-2018, https://doi.org/10.5194/hess-22-3965-2018, 2018
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We estimated water ages in the upper critical zone with a soil physical model (SWIS) and found that the age of water stored in the soil, as well as of water leaving the soil via evaporation, transpiration, or recharge, was younger the higher soil water storage (inverse storage effect). Travel times of transpiration and evaporation were different. We conceptualized the subsurface into fast and slow flow domains and the water was usually half as young in the fast as in the slow flow domain.
Martin Berggren, Marcus Klaus, Balathandayuthabani Panneer Selvam, Lena Ström, Hjalmar Laudon, Mats Jansson, and Jan Karlsson
Biogeosciences, 15, 457–470, https://doi.org/10.5194/bg-15-457-2018, https://doi.org/10.5194/bg-15-457-2018, 2018
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The quality of dissolved organic carbon (DOC), especially its color, is a defining feature of freshwater ecosystems. We found that colored DOC fractions are surprisingly resistant to natural degradation during water transit through many brown-water lakes. This is explained by the dominance of microbial processes that appear to selectively remove noncolored DOC. However, in lakes where sunlight degradation plays a relatively larger role, significant DOC bleaching occurs.
Fernando Jaramillo, Neil Cory, Berit Arheimer, Hjalmar Laudon, Ype van der Velde, Thomas B. Hasper, Claudia Teutschbein, and Johan Uddling
Hydrol. Earth Syst. Sci., 22, 567–580, https://doi.org/10.5194/hess-22-567-2018, https://doi.org/10.5194/hess-22-567-2018, 2018
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Which is the dominant effect on evapotranspiration in northern forests, an increase by recent forests expansion or a decrease by the water use response due to increasing CO2 concentrations? We determined the dominant effect during the period 1961–2012 in 65 Swedish basins. We used the Budyko framework to study the hydroclimatic movements in Budyko space. Our findings suggest that forest expansion is the dominant driver of long-term and large-scale evapotranspiration changes.
Pertti Ala-aho, Doerthe Tetzlaff, James P. McNamara, Hjalmar Laudon, and Chris Soulsby
Hydrol. Earth Syst. Sci., 21, 5089–5110, https://doi.org/10.5194/hess-21-5089-2017, https://doi.org/10.5194/hess-21-5089-2017, 2017
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We used the Spatially Distributed Tracer-Aided Rainfall-Runoff model (STARR) to simulate streamflows, stable water isotope ratios, snowpack dynamics, and water ages in three snow-influenced experimental catchments with exceptionally long and rich datasets. Our simulations reproduced the hydrological observations in all three catchments, suggested contrasting stream water age distributions between catchments, and demonstrated the importance of snow isotope processes in tracer-aided modelling.
Fredrik Lidman, Åsa Boily, Hjalmar Laudon, and Stephan J. Köhler
Biogeosciences, 14, 3001–3014, https://doi.org/10.5194/bg-14-3001-2017, https://doi.org/10.5194/bg-14-3001-2017, 2017
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The riparian zone is the narrow strip of land that lines a watercourse. This is the last soil that the groundwater is in contact with before it enters the stream and it therefore has a high impact on the water quality. In this paper we show that many elements occur in elevated concentrations in the peat-like riparian zone of boreal headwaters and that this also leads to elevated concentrations in the streams. Hence, understanding riparian soils is crucial for a sustainable management of streams.
Sina Muster, Kurt Roth, Moritz Langer, Stephan Lange, Fabio Cresto Aleina, Annett Bartsch, Anne Morgenstern, Guido Grosse, Benjamin Jones, A. Britta K. Sannel, Ylva Sjöberg, Frank Günther, Christian Andresen, Alexandra Veremeeva, Prajna R. Lindgren, Frédéric Bouchard, Mark J. Lara, Daniel Fortier, Simon Charbonneau, Tarmo A. Virtanen, Gustaf Hugelius, Juri Palmtag, Matthias B. Siewert, William J. Riley, Charles D. Koven, and Julia Boike
Earth Syst. Sci. Data, 9, 317–348, https://doi.org/10.5194/essd-9-317-2017, https://doi.org/10.5194/essd-9-317-2017, 2017
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Waterbodies are abundant in Arctic permafrost lowlands. Most waterbodies are ponds with a surface area smaller than 100 x 100 m. The Permafrost Region Pond and Lake Database (PeRL) for the first time maps ponds as small as 10 x 10 m. PeRL maps can be used to document changes both by comparing them to historical and future imagery. The distribution of waterbodies in the Arctic is important to know in order to manage resources in the Arctic and to improve climate predictions in the Arctic.
Tobias Lindborg, Johan Rydberg, Mats Tröjbom, Sten Berglund, Emma Johansson, Anders Löfgren, Peter Saetre, Sara Nordén, Gustav Sohlenius, Eva Andersson, Johannes Petrone, Micke Borgiel, Ulrik Kautsky, and Hjalmar Laudon
Earth Syst. Sci. Data, 8, 439–459, https://doi.org/10.5194/essd-8-439-2016, https://doi.org/10.5194/essd-8-439-2016, 2016
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This paper presents a biogeochemical and ecological data set from the Kangerlussuaq region, western Greenland. The data set is used to conceptualize and model terrestrial and limnic ecosystems as well as the land–lake linkage. Both biotic and abiotic data is presented and will be used for biogeochemical mass-balance and transport calculations. The data set constitutes an important source in order to understand and describe accumulation and flow of matter within periglacial landscapes.
Stephen Oni, Martyn Futter, Jose Ledesma, Claudia Teutschbein, Jim Buttle, and Hjalmar Laudon
Hydrol. Earth Syst. Sci., 20, 2811–2825, https://doi.org/10.5194/hess-20-2811-2016, https://doi.org/10.5194/hess-20-2811-2016, 2016
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This paper presents an important framework to improve hydrologic projections in cold regions. Hydrologic modelling/projections are often based on model calibration to long-term data. Here we used dry and wet years as a proxy to quantify uncertainty in projecting hydrologic extremes. We showed that projections based on long-term data could underestimate runoff by up to 35% in boreal regions. We believe the hydrologic modelling community will benefit from new insights derived from this study.
J. Schelker, R. Sponseller, E. Ring, L. Högbom, S. Löfgren, and H. Laudon
Biogeosciences, 13, 1–12, https://doi.org/10.5194/bg-13-1-2016, https://doi.org/10.5194/bg-13-1-2016, 2016
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The scientific question that is addressed in this study is how forest disturbance affects organic and inorganic nitrogen export from a boreal landscape. The key findings are that the mobilization of inorganic nitrogen from the terrestrial environment to streams increased strongly as a response to harvesting, but the stream network removed a major fraction of this load before it reached the outlet, while organic nitrogen was not removed and transported downstream.
M. Haei and H. Laudon
Biogeosciences Discuss., https://doi.org/10.5194/bgd-12-15763-2015, https://doi.org/10.5194/bgd-12-15763-2015, 2015
Revised manuscript not accepted
M. Fritz, B. N. Deshpande, F. Bouchard, E. Högström, J. Malenfant-Lepage, A. Morgenstern, A. Nieuwendam, M. Oliva, M. Paquette, A. C. A. Rudy, M. B. Siewert, Y. Sjöberg, and S. Weege
The Cryosphere, 9, 1715–1720, https://doi.org/10.5194/tc-9-1715-2015, https://doi.org/10.5194/tc-9-1715-2015, 2015
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This is a contribution about the future of permafrost research to the 3rd International Conference on Arctic Research Planning 2015 (ICARP III).
We summarize the top five research questions for the next decade of permafrost science from the perspective of early career researchers (ECRs).
We highlight the pathways and structural preconditions to address these research priorities.
This manuscript is an outcome of a community consultation conducted for and by ECRs on a global level.
A. A. Harpold, J. A. Marshall, S. W. Lyon, T. B. Barnhart, B. A. Fisher, M. Donovan, K. M. Brubaker, C. J. Crosby, N. F. Glenn, C. L. Glennie, P. B. Kirchner, N. Lam, K. D. Mankoff, J. L. McCreight, N. P. Molotch, K. N. Musselman, J. Pelletier, T. Russo, H. Sangireddy, Y. Sjöberg, T. Swetnam, and N. West
Hydrol. Earth Syst. Sci., 19, 2881–2897, https://doi.org/10.5194/hess-19-2881-2015, https://doi.org/10.5194/hess-19-2881-2015, 2015
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This review's objective is to demonstrate the transformative potential of lidar by critically assessing both challenges and opportunities for transdisciplinary lidar applications in geomorphology, hydrology, and ecology. We find that using lidar to its full potential will require numerous advances, including more powerful open-source processing tools, new lidar acquisition technologies, and improved integration with physically based models and complementary observations.
F. I. Leith, K. J. Dinsmore, M. B. Wallin, M. F. Billett, K. V. Heal, H. Laudon, M. G. Öquist, and K. Bishop
Biogeosciences, 12, 1881–1892, https://doi.org/10.5194/bg-12-1881-2015, https://doi.org/10.5194/bg-12-1881-2015, 2015
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Carbon dioxide transport between the terrestrial and aquatic systems was dominated by export from the near-stream riparian zone. Over the year, riparian export was highest during autumn storms and the spring snowmelt event. This resulted in high downstream export during these periods with vertical evasion from the stream surface accounting for 60% of the total stream water export, highlighting the importance of evasion to carbon export via the aquatic conduit.
Y. Sjöberg, P. Marklund, R. Pettersson, and S. W. Lyon
The Cryosphere, 9, 465–478, https://doi.org/10.5194/tc-9-465-2015, https://doi.org/10.5194/tc-9-465-2015, 2015
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Permafrost peatlands are hydrological and biogeochemical hotspots in discontinuous permafrost areas. We estimate the depths to the permafrost table surface and base across a peatland in northern Sweden using ground penetrating radar and electrical resistivity tomography. Seasonal frost tables, taliks, and the permafrost base could be detected. The results highlight the added value of combining techniques for assessing distributions of permafrost in the rapidly changing sporadic permafrost zone.
H. Zarei, A. M. Akhondali, H. Mohammadzadeh, F. Radmanesh, and H. Laudon
Hydrol. Earth Syst. Sci. Discuss., https://doi.org/10.5194/hessd-11-3787-2014, https://doi.org/10.5194/hessd-11-3787-2014, 2014
Manuscript not accepted for further review
A. M. Ågren, I. Buffam, D. M. Cooper, T. Tiwari, C. D. Evans, and H. Laudon
Biogeosciences, 11, 1199–1213, https://doi.org/10.5194/bg-11-1199-2014, https://doi.org/10.5194/bg-11-1199-2014, 2014
E. Bosson, T. Lindborg, S. Berglund, L.-G. Gustafsson, J.-O. Selroos, H. Laudon, L. L. Claesson, and G. Destouni
Hydrol. Earth Syst. Sci. Discuss., https://doi.org/10.5194/hessd-10-9271-2013, https://doi.org/10.5194/hessd-10-9271-2013, 2013
Revised manuscript not accepted
J. L. J. Ledesma, T. Grabs, M. N. Futter, K. H. Bishop, H. Laudon, and S. J. Köhler
Biogeosciences, 10, 3849–3868, https://doi.org/10.5194/bg-10-3849-2013, https://doi.org/10.5194/bg-10-3849-2013, 2013
S. K. Oni, M. N. Futter, K. Bishop, S. J. Köhler, M. Ottosson-Löfvenius, and H. Laudon
Biogeosciences, 10, 2315–2330, https://doi.org/10.5194/bg-10-2315-2013, https://doi.org/10.5194/bg-10-2315-2013, 2013
Related subject area
Subject: Catchment hydrology | Techniques and Approaches: Modelling approaches
Evaluation of hydrological models on small mountainous catchments: impact of the meteorological forcings
Projecting sediment export from two highly glacierized alpine catchments under climate change: exploring non-parametric regression as an analysis tool
A framework for parameter estimation, sensitivity analysis, and uncertainty analysis for holistic hydrologic modeling using SWAT+
On understanding mountainous carbonate basins of the Mediterranean using parsimonious modeling solutions
Comparing quantile regression forest and mixture density long short-term memory models for probabilistic post-processing of satellite precipitation-driven streamflow simulations
Recent ground thermo-hydrological changes in a southern Tibetan endorheic catchment and implications for lake level changes
Towards robust seasonal streamflow forecasts in mountainous catchments: impact of calibration metric selection in hydrological modeling
Modelling flood frequency and magnitude in a glacially conditioned, heterogeneous landscape: testing the importance of land cover and land use
Direct integration of reservoirs' operations in a hydrological model for streamflow estimation: coupling a CLSTM model with MOHID-Land
Towards Interpretable LSTM-based Modelling of Hydrological Systems
Modelling the regional sensitivity of snowmelt, soil moisture, and streamflow generation to climate over the Canadian Prairies using a basin classification approach
To what extent does river routing matter in hydrological modeling?
Calibrating macroscale hydrological models in poorly gauged and heavily regulated basins
An advanced tool integrating failure and sensitivity analysis into novel modeling of the stormwater flood volume
airGRteaching: an open-source tool for teaching hydrological modeling with R
Stable water isotopes and tritium tracers tell the same tale: no evidence for underestimation of catchment transit times inferred by stable isotopes in StorAge Selection (SAS)-function models
Uncertainty in water transit time estimation with StorAge Selection functions and tracer data interpolation
Changes in Mediterranean flood processes and seasonality
On optimization of calibrations of a distributed hydrological model with spatially distributed information on snow
On the need for physical constraints in deep learning rainfall-runoff projections under climate change
Glaciers determine the sensitivity of hydrological processes to perturbed climate in a large mountainous basin on the Tibetan Plateau
Technical Note: Testing the Connection Between Hillslope Scale Runoff Fluctuations and Streamflow Hydrographs at the Outlet of Large River Basins
Flow intermittence prediction using a hybrid hydrological modelling approach: influence of observed intermittence data on the training of a random forest model
Can the combining of wetlands with reservoir operation reduce the risk of future floods and droughts?
Knowledge-informed deep learning for hydrological model calibration: an application to Coal Creek Watershed in Colorado
Leveraging gauge networks and strategic discharge measurements to aid development of continuous streamflow records
When best is the enemy of good – critical evaluation of performance criteria in hydrological models
The suitability of differentiable, physics-informed machine learning hydrologic models for ungauged regions and climate change impact assessment
Producing reliable hydrologic scenarios from raw climate model outputs without resorting to meteorological observations
Using normalised difference infrared index patterns to constrain semi-distributed rainfall–runoff models in tropical nested catchments
Revisiting the hydrological basis of the Budyko framework with the principle of hydrologically similar groups
Reconstructing five decades of sediment export from two glacierized high-alpine catchments in Tyrol, Austria, using nonparametric regression
Water and energy budgets over hydrological basins on short and long timescales
Hydrological response to climate change and human activities in the Three-River Source Region
Incorporating experimentally derived streamflow contributions into model parameterization to improve discharge prediction
Machine-learning- and deep-learning-based streamflow prediction in a hilly catchment for future scenarios using CMIP6 GCM data
River hydraulic modeling with ICESat-2 land and water surface elevation
Seasonal prediction of end-of-dry season watershed behavior in a highly interconnected alluvial watershed, northern California
Hydrological modeling using the Soil and Water Assessment Tool in urban and peri-urban environments: the case of Kifisos experimental subbasin (Athens, Greece)
Empirical stream thermal sensitivities cluster on the landscape according to geology and climate
Monetizing the role of water in sustaining watershed ecosystem services using a fully integrated subsurface–surface water model
Technical note: How physically based is hydrograph separation by recursive digital filtering?
A comprehensive open-source course for teaching applied hydrological modelling in Central Asia
Impact of distributed meteorological forcing on simulated snow cover and hydrological fluxes over a mid-elevation alpine micro-scale catchment
Technical note: Extending the SWAT model to transport chemicals through tile and groundwater flow
Long-term reconstruction of satellite-based precipitation, soil moisture, and snow water equivalent in China
Disentangling scatter in long-term concentration–discharge relationships: the role of event types
Simulating the hydrological impacts of land use conversion from annual crop to perennial forage in the Canadian Prairies using the Cold Regions Hydrological Modelling platform
How can we benefit from regime information to make more effective use of long short-term memory (LSTM) runoff models?
On the value of satellite remote sensing to reduce uncertainties of regional simulations of the Colorado River
Guillaume Evin, Matthieu Le Lay, Catherine Fouchier, David Penot, Francois Colleoni, Alexandre Mas, Pierre-André Garambois, and Olivier Laurantin
Hydrol. Earth Syst. Sci., 28, 261–281, https://doi.org/10.5194/hess-28-261-2024, https://doi.org/10.5194/hess-28-261-2024, 2024
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Hydrological modelling of mountainous catchments is challenging for many reasons, the main one being the temporal and spatial representation of precipitation forcings. This study presents an evaluation of the hydrological modelling of 55 small mountainous catchments of the northern French Alps, focusing on the influence of the type of precipitation reanalyses used as inputs. These evaluations emphasize the added value of radar measurements, in particular for the reproduction of flood events.
Lena Katharina Schmidt, Till Francke, Peter Martin Grosse, and Axel Bronstert
Hydrol. Earth Syst. Sci., 28, 139–161, https://doi.org/10.5194/hess-28-139-2024, https://doi.org/10.5194/hess-28-139-2024, 2024
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How suspended sediment export from glacierized high-alpine areas responds to future climate change is hardly assessable as many interacting processes are involved, and appropriate physical models are lacking. We present the first study, to our knowledge, exploring machine learning to project sediment export until 2100 in two high-alpine catchments. We find that uncertainties due to methodological limitations are small until 2070. Negative trends imply that peak sediment may have already passed.
Salam A. Abbas, Ryan T. Bailey, Jeremy T. White, Jeffrey G. Arnold, Michael J. White, Natalja Čerkasova, and Jungang Gao
Hydrol. Earth Syst. Sci., 28, 21–48, https://doi.org/10.5194/hess-28-21-2024, https://doi.org/10.5194/hess-28-21-2024, 2024
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Research highlights.
1. Implemented groundwater module (gwflow) into SWAT+ for four watersheds with different unique hydrologic features across the United States.
2. Presented methods for sensitivity analysis, uncertainty analysis and parameter estimation for coupled models.
3. Sensitivity analysis for streamflow and groundwater head conducted using Morris method.
4. Uncertainty analysis and parameter estimation performed using an iterative ensemble smoother within the PEST framework.
Shima Azimi, Christian Massari, Giuseppe Formetta, Silvia Barbetta, Alberto Tazioli, Davide Fronzi, Sara Modanesi, Angelica Tarpanelli, and Riccardo Rigon
Hydrol. Earth Syst. Sci., 27, 4485–4503, https://doi.org/10.5194/hess-27-4485-2023, https://doi.org/10.5194/hess-27-4485-2023, 2023
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We analyzed the water budget of nested karst catchments using simple methods and modeling. By utilizing the available data on precipitation and discharge, we were able to determine the response lag-time by adopting new techniques. Additionally, we modeled snow cover dynamics and evapotranspiration with the use of Earth observations, providing a concise overview of the water budget for the basin and its subbasins. We have made the data, models, and workflows accessible for further study.
Yuhang Zhang, Aizhong Ye, Bita Analui, Phu Nguyen, Soroosh Sorooshian, Kuolin Hsu, and Yuxuan Wang
Hydrol. Earth Syst. Sci., 27, 4529–4550, https://doi.org/10.5194/hess-27-4529-2023, https://doi.org/10.5194/hess-27-4529-2023, 2023
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Our study shows that while the quantile regression forest (QRF) and countable mixtures of asymmetric Laplacians long short-term memory (CMAL-LSTM) models demonstrate similar proficiency in multipoint probabilistic predictions, QRF excels in smaller watersheds and CMAL-LSTM in larger ones. CMAL-LSTM performs better in single-point deterministic predictions, whereas QRF model is more efficient overall.
Léo C. P. Martin, Sebastian Westermann, Michele Magni, Fanny Brun, Joel Fiddes, Yanbin Lei, Philip Kraaijenbrink, Tamara Mathys, Moritz Langer, Simon Allen, and Walter W. Immerzeel
Hydrol. Earth Syst. Sci., 27, 4409–4436, https://doi.org/10.5194/hess-27-4409-2023, https://doi.org/10.5194/hess-27-4409-2023, 2023
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Across the Tibetan Plateau, many large lakes have been changing level during the last decades as a response to climate change. In high-mountain environments, water fluxes from the land to the lakes are linked to the ground temperature of the land and to the energy fluxes between the ground and the atmosphere, which are modified by climate change. With a numerical model, we test how these water and energy fluxes have changed over the last decades and how they influence the lake level variations.
Diego Araya, Pablo A. Mendoza, Eduardo Muñoz-Castro, and James McPhee
Hydrol. Earth Syst. Sci., 27, 4385–4408, https://doi.org/10.5194/hess-27-4385-2023, https://doi.org/10.5194/hess-27-4385-2023, 2023
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Dynamical systems are used by many agencies worldwide to produce seasonal streamflow forecasts, which are critical for decision-making. Such systems rely on hydrology models, which contain parameters that are typically estimated using a target performance metric (i.e., objective function). This study explores the effects of this decision across mountainous basins in Chile, illustrating tradeoffs between seasonal forecast quality and the models' capability to simulate streamflow characteristics.
Pamela E. Tetford and Joseph R. Desloges
Hydrol. Earth Syst. Sci., 27, 3977–3998, https://doi.org/10.5194/hess-27-3977-2023, https://doi.org/10.5194/hess-27-3977-2023, 2023
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An efficient regional flood frequency model relates drainage area to discharge, with a major assumption of similar basin conditions. In a landscape with variable glacial deposits and land use, we characterize varying hydrological function using 28 explanatory variables. We demonstrate that (1) a heterogeneous landscape requires objective model selection criteria to optimize the fit of flow data, and (2) incorporating land use as a predictor variable improves the drainage area to discharge model.
Ana Ramos Oliveira, Tiago Brito Ramos, Lígia Pinto, and Ramiro Neves
Hydrol. Earth Syst. Sci., 27, 3875–3893, https://doi.org/10.5194/hess-27-3875-2023, https://doi.org/10.5194/hess-27-3875-2023, 2023
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This paper intends to demonstrate the adequacy of a hybrid solution to overcome the difficulties related to the incorporation of human behavior when modeling hydrological processes. Two models were implemented, one to estimate the outflow of a reservoir and the other to simulate the hydrological processes of the watershed. With both models feeding each other, results show that the proposed approach significantly improved the streamflow estimation downstream of the reservoir.
Luis Andres De la Fuente, Mohammad Reza Ehsani, Hoshin Vijai Gupta, and Laura Elizabeth Condon
Hydrol. Earth Syst. Sci. Discuss., https://doi.org/10.5194/hess-2023-252, https://doi.org/10.5194/hess-2023-252, 2023
Revised manuscript accepted for HESS
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Long Short-Term Memory (LSTM) is a widely used machine learning model in hydrology. However, it is difficult to extract knowledge from it. We propose HydroLSTM which represents processes like a hydrological reservoir. Models based on HydroLSTM perform similarly to LSTM while requiring fewer cell states. The learned parameters are informative about the dominant hydrology of a catchment.Our results show how parsimony and hydrological knowledge extraction can be achieved by using the new structure.
Zhihua He, Kevin Shook, Christopher Spence, John W. Pomeroy, and Colin Whitfield
Hydrol. Earth Syst. Sci., 27, 3525–3546, https://doi.org/10.5194/hess-27-3525-2023, https://doi.org/10.5194/hess-27-3525-2023, 2023
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This study evaluated the impacts of climate change on snowmelt, soil moisture, and streamflow over the Canadian Prairies. The entire prairie region was divided into seven basin types. We found strong variations of hydrological sensitivity to precipitation and temperature changes in different land covers and basins, which suggests that different water management and adaptation methods are needed to address enhanced water stress due to expected climate change in different regions of the prairies.
Nicolás Cortés-Salazar, Nicolás Vásquez, Naoki Mizukami, Pablo A. Mendoza, and Ximena Vargas
Hydrol. Earth Syst. Sci., 27, 3505–3524, https://doi.org/10.5194/hess-27-3505-2023, https://doi.org/10.5194/hess-27-3505-2023, 2023
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This paper shows how important river models can be for water resource applications that involve hydrological models and, in particular, parameter calibration. To this end, we conduct numerical experiments in a pilot basin using a combination of hydrologic model simulations obtained from a large sample of parameter sets and different routing methods. We find that routing can affect streamflow simulations, even at monthly time steps; the choice of parameters; and relevant streamflow metrics.
Dung Trung Vu, Thanh Duc Dang, Francesca Pianosi, and Stefano Galelli
Hydrol. Earth Syst. Sci., 27, 3485–3504, https://doi.org/10.5194/hess-27-3485-2023, https://doi.org/10.5194/hess-27-3485-2023, 2023
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The calibration of hydrological models over extensive spatial domains is often challenged by the lack of data on river discharge and the operations of hydraulic infrastructures. Here, we use satellite data to address the lack of data that could unintentionally bias the calibration process. Our study is underpinned by a computational framework that quantifies this bias and provides a safe approach to the calibration of models in poorly gauged and heavily regulated basins.
Francesco Fatone, Bartosz Szeląg, Przemysław Kowal, Arthur McGarity, Adam Kiczko, Grzegorz Wałek, Ewa Wojciechowska, Michał Stachura, and Nicolas Caradot
Hydrol. Earth Syst. Sci., 27, 3329–3349, https://doi.org/10.5194/hess-27-3329-2023, https://doi.org/10.5194/hess-27-3329-2023, 2023
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A novel methodology for the development of a stormwater network performance simulator including advanced risk assessment was proposed. The applied tool enables the analysis of the influence of spatial variability in catchment and stormwater network characteristics on the relation between (SWMM) model parameters and specific flood volume, as an alternative approach to mechanistic models. The proposed method can be used at the stage of catchment model development and spatial planning management.
Olivier Delaigue, Pierre Brigode, Guillaume Thirel, and Laurent Coron
Hydrol. Earth Syst. Sci., 27, 3293–3327, https://doi.org/10.5194/hess-27-3293-2023, https://doi.org/10.5194/hess-27-3293-2023, 2023
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Teaching hydrological modeling is an important, but difficult, matter. It requires appropriate tools and teaching material. In this article, we present the airGRteaching package, which is an open-source software tool relying on widely used hydrological models. This tool proposes an interface and numerous hydrological modeling exercises representing a wide range of hydrological applications. We show how this tool can be applied to simple but real-life cases.
Siyuan Wang, Markus Hrachowitz, Gerrit Schoups, and Christine Stumpp
Hydrol. Earth Syst. Sci., 27, 3083–3114, https://doi.org/10.5194/hess-27-3083-2023, https://doi.org/10.5194/hess-27-3083-2023, 2023
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This study shows that previously reported underestimations of water ages are most likely not due to the use of seasonally variable tracers. Rather, these underestimations can be largely attributed to the choices of model approaches which rely on assumptions not frequently met in catchment hydrology. We therefore strongly advocate avoiding the use of this model type in combination with seasonally variable tracers and instead adopting StorAge Selection (SAS)-based or comparable model formulations.
Arianna Borriero, Rohini Kumar, Tam V. Nguyen, Jan H. Fleckenstein, and Stefanie R. Lutz
Hydrol. Earth Syst. Sci., 27, 2989–3004, https://doi.org/10.5194/hess-27-2989-2023, https://doi.org/10.5194/hess-27-2989-2023, 2023
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We analyzed the uncertainty of the water transit time distribution (TTD) arising from model input (interpolated tracer data) and structure (StorAge Selection, SAS, functions). We found that uncertainty was mainly associated with temporal interpolation, choice of SAS function, nonspatial interpolation, and low-flow conditions. It is important to characterize the specific uncertainty sources and their combined effects on TTD, as this has relevant implications for both water quantity and quality.
Yves Tramblay, Patrick Arnaud, Guillaume Artigue, Michel Lang, Emmanuel Paquet, Luc Neppel, and Eric Sauquet
Hydrol. Earth Syst. Sci., 27, 2973–2987, https://doi.org/10.5194/hess-27-2973-2023, https://doi.org/10.5194/hess-27-2973-2023, 2023
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Mediterranean floods are causing major damage, and recent studies have shown that, despite the increase in intense rainfall, there has been no increase in river floods. This study reveals that the seasonality of floods changed in the Mediterranean Basin during 1959–2021. There was also an increased frequency of floods linked to short episodes of intense rain, associated with a decrease in soil moisture. These changes need to be taken into consideration to adapt flood warning systems.
Dipti Tiwari, Mélanie Trudel, and Robert Leconte
Hydrol. Earth Syst. Sci. Discuss., https://doi.org/10.5194/hess-2023-143, https://doi.org/10.5194/hess-2023-143, 2023
Revised manuscript accepted for HESS
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Calibrating hydrological models with multiple objective functions enhances model robustness. By integrating spatially distributed snow information into the calibration process, the overall performance of the model can be enhanced without compromising the model outputs. In this study, HYDROTEL model was calibrated in seven different experiments, incorporating the SPAEF (SPAtial Efficiency metric) alongside NSE and RMSE, with the aim of identifying the optimal calibration strategy.
Sungwook Wi and Scott Steinschneider
EGUsphere, https://doi.org/10.5194/egusphere-2023-1744, https://doi.org/10.5194/egusphere-2023-1744, 2023
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We investigate whether deep learning (DL) models can produce physically plausible streamflow projections under climate change. We address this question by focusing on modeled responses to increases in temperature and potential evapotranspiration and by employing 3 DL and 3 process-based hydrologic models. The results suggest that physical constraints regarding model architecture and input are necessary to promote the physical realism of deep-learning hydrologic projections under climate change.
Yi Nan and Fuqiang Tian
Hydrol. Earth Syst. Sci. Discuss., https://doi.org/10.5194/hess-2023-182, https://doi.org/10.5194/hess-2023-182, 2023
Revised manuscript accepted for HESS
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This paper utilized a tracer-aided model validated by multiple datasets in a large mountainous basin on the Tibetan Plateau to analyze the hydrological sensitivity to climate change. The spatial pattern of the local hydrological sensitivities and the influence factors were analyzed in particular. The main finding of this paper is that the local hydrological sensitivity in mountainous basins is determined by the relationship between the glacier area ratio and the mean annual precipitation.
Ricardo Mantilla, Morgan Fonley, and Nicolas Velasquez
Hydrol. Earth Syst. Sci. Discuss., https://doi.org/10.5194/hess-2023-187, https://doi.org/10.5194/hess-2023-187, 2023
Revised manuscript accepted for HESS
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Hydrologists strive to “Be right for the right reasons” when modeling the hydrologic cycle, however, the datasets available to validate hydrological models are sparse, and in many cases, they comprise streamflow observations at the outlets of large catchments. In this work, we show that matching streamflow observations at the outlet of a large basin is not a reliable indicator that a correct description of the small-scale runoff processes.
Louise Mimeau, Annika Künne, Flora Branger, Sven Kralisch, Alexandre Devers, and Jean-Philippe Vidal
EGUsphere, https://doi.org/10.5194/egusphere-2023-1322, https://doi.org/10.5194/egusphere-2023-1322, 2023
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Modelling flow intermittence is essential for predicting the future evolution of drying in river networks and better understanding the ecological and socio-economic impacts. However, modelling flow intermittence is challenging and observed data on temporary rivers is scarce. This study presents a new modelling approach for predicting flow intermittence in river networks and shows that combining different sources of observed data reduces the model uncertainty.
Yanfeng Wu, Jingxuan Sun, Boting Hu, Y. Jun Xu, Alain N. Rousseau, and Guangxin Zhang
Hydrol. Earth Syst. Sci., 27, 2725–2745, https://doi.org/10.5194/hess-27-2725-2023, https://doi.org/10.5194/hess-27-2725-2023, 2023
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Reservoirs and wetlands are important regulators of watershed hydrology, which should be considered when projecting floods and droughts. We first coupled wetlands and reservoir operations into a semi-spatially-explicit hydrological model and then applied it in a case study involving a large river basin in northeast China. We found that, overall, the risk of future floods and droughts will increase further even under the combined influence of reservoirs and wetlands.
Peishi Jiang, Pin Shuai, Alexander Sun, Maruti K. Mudunuru, and Xingyuan Chen
Hydrol. Earth Syst. Sci., 27, 2621–2644, https://doi.org/10.5194/hess-27-2621-2023, https://doi.org/10.5194/hess-27-2621-2023, 2023
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We developed a novel deep learning approach to estimate the parameters of a computationally expensive hydrological model on only a few hundred realizations. Our approach leverages the knowledge obtained by data-driven analysis to guide the design of the deep learning model used for parameter estimation. We demonstrate this approach by calibrating a state-of-the-art hydrological model against streamflow and evapotranspiration observations at a snow-dominated watershed in Colorado.
Michael J. Vlah, Matthew R. V. Ross, Spencer Rhea, and Emily S. Bernhardt
EGUsphere, https://doi.org/10.5194/egusphere-2023-1178, https://doi.org/10.5194/egusphere-2023-1178, 2023
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Virtual stream gauging enables continuous streamflow estimation where a gauge might be difficult or impractical to install. We reconstructed flow at 27 gauges of the National Ecological Observatory Network (NEON), informing ~199 site-months of missing data in the official record, and improving upon official estimates at 11 sites. This study shows that machine learning, but also routine regression methods, can be used to supplement existing gauge networks and reduce monitoring costs.
Guillaume Cinkus, Naomi Mazzilli, Hervé Jourde, Andreas Wunsch, Tanja Liesch, Nataša Ravbar, Zhao Chen, and Nico Goldscheider
Hydrol. Earth Syst. Sci., 27, 2397–2411, https://doi.org/10.5194/hess-27-2397-2023, https://doi.org/10.5194/hess-27-2397-2023, 2023
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The Kling–Gupta Efficiency (KGE) is a performance criterion extensively used to evaluate hydrological models. We conduct a critical study on the KGE and its variant to examine counterbalancing errors. Results show that, when assessing a simulation, concurrent over- and underestimation of discharge can lead to an overall higher criterion score without an associated increase in model relevance. We suggest that one carefully choose performance criteria and use scaling factors.
Dapeng Feng, Hylke Beck, Kathryn Lawson, and Chaopeng Shen
Hydrol. Earth Syst. Sci., 27, 2357–2373, https://doi.org/10.5194/hess-27-2357-2023, https://doi.org/10.5194/hess-27-2357-2023, 2023
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Powerful hybrid models (called δ or delta models) embrace the fundamental learning capability of AI and can also explain the physical processes. Here we test their performance when applied to regions not in the training data. δ models rivaled the accuracy of state-of-the-art AI models under the data-dense scenario and even surpassed them for the data-sparse one. They generalize well due to the physical structure included. δ models could be ideal candidates for global hydrologic assessment.
Simon Ricard, Philippe Lucas-Picher, Antoine Thiboult, and François Anctil
Hydrol. Earth Syst. Sci., 27, 2375–2395, https://doi.org/10.5194/hess-27-2375-2023, https://doi.org/10.5194/hess-27-2375-2023, 2023
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A simplified hydroclimatic modelling workflow is proposed to quantify the impact of climate change on water discharge without resorting to meteorological observations. Results confirm that the proposed workflow produces equivalent projections of the seasonal mean flows in comparison to a conventional hydroclimatic modelling approach. The proposed approach supports the participation of end-users in interpreting the impact of climate change on water resources.
Nutchanart Sriwongsitanon, Wasana Jandang, James Williams, Thienchart Suwawong, Ekkarin Maekan, and Hubert H. G. Savenije
Hydrol. Earth Syst. Sci., 27, 2149–2171, https://doi.org/10.5194/hess-27-2149-2023, https://doi.org/10.5194/hess-27-2149-2023, 2023
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We developed predictive semi-distributed rainfall–runoff models for nested sub-catchments in the upper Ping basin, which yielded better or similar performance compared to calibrated lumped models. The normalised difference infrared index proves to be an effective proxy for distributed root zone moisture capacity over sub-catchments and is well correlated with the percentage of evergreen forest. In validation, soil moisture simulations appeared to be highly correlated with the soil wetness index.
Yuchan Chen, Xiuzhi Chen, Meimei Xue, Chuanxun Yang, Wei Zheng, Jun Cao, Wenting Yan, and Wenping Yuan
Hydrol. Earth Syst. Sci., 27, 1929–1943, https://doi.org/10.5194/hess-27-1929-2023, https://doi.org/10.5194/hess-27-1929-2023, 2023
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This study addresses the quantification and estimation of the watershed-characteristic-related parameter (Pw) in the Budyko framework with the principle of hydrologically similar groups. The results show that Pw is closely related to soil moisture and fractional vegetation cover, and the relationship varies across specific hydrologic similarity groups. The overall satisfactory performance of the Pw estimation model improves the applicability of the Budyko framework for global runoff estimation.
Lena Katharina Schmidt, Till Francke, Peter Martin Grosse, Christoph Mayer, and Axel Bronstert
Hydrol. Earth Syst. Sci., 27, 1841–1863, https://doi.org/10.5194/hess-27-1841-2023, https://doi.org/10.5194/hess-27-1841-2023, 2023
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We present a suitable method to reconstruct sediment export from decadal records of hydroclimatic predictors (discharge, precipitation, temperature) and shorter suspended sediment measurements. This lets us fill the knowledge gap on how sediment export from glacierized high-alpine areas has responded to climate change. We find positive trends in sediment export from the two investigated nested catchments with step-like increases around 1981 which are linked to crucial changes in glacier melt.
Samantha Petch, Bo Dong, Tristan Quaife, Robert P. King, and Keith Haines
Hydrol. Earth Syst. Sci., 27, 1723–1744, https://doi.org/10.5194/hess-27-1723-2023, https://doi.org/10.5194/hess-27-1723-2023, 2023
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Gravitational measurements of water storage from GRACE (Gravity Recovery and Climate Experiment) can improve understanding of the water budget. We produce flux estimates over large river catchments based on observations that close the monthly water budget and ensure consistency with GRACE on short and long timescales. We use energy data to provide additional constraints and balance the long-term energy budget. These flux estimates are important for evaluating climate models.
Ting Su, Chiyuan Miao, Qingyun Duan, Jiaojiao Gou, Xiaoying Guo, and Xi Zhao
Hydrol. Earth Syst. Sci., 27, 1477–1492, https://doi.org/10.5194/hess-27-1477-2023, https://doi.org/10.5194/hess-27-1477-2023, 2023
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The Three-River Source Region (TRSR) plays an extremely important role in water resources security and ecological and environmental protection in China and even all of Southeast Asia. This study used the variable infiltration capacity (VIC) land surface hydrologic model linked with the degree-day factor algorithm to simulate the runoff change in the TRSR. These results will help to guide current and future regulation and management of water resources in the TRSR.
Andreas Hartmann, Jean-Lionel Payeur-Poirier, and Luisa Hopp
Hydrol. Earth Syst. Sci., 27, 1325–1341, https://doi.org/10.5194/hess-27-1325-2023, https://doi.org/10.5194/hess-27-1325-2023, 2023
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We advance our understanding of including information derived from environmental tracers into hydrological modeling. We present a simple approach that integrates streamflow observations and tracer-derived streamflow contributions for model parameter estimation. We consider multiple observed streamflow components and their variation over time to quantify the impact of their inclusion for streamflow prediction at the catchment scale.
Dharmaveer Singh, Manu Vardhan, Rakesh Sahu, Debrupa Chatterjee, Pankaj Chauhan, and Shiyin Liu
Hydrol. Earth Syst. Sci., 27, 1047–1075, https://doi.org/10.5194/hess-27-1047-2023, https://doi.org/10.5194/hess-27-1047-2023, 2023
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This study examines, for the first time, the potential of various machine learning models in streamflow prediction over the Sutlej River basin (rainfall-dominated zone) in western Himalaya during the period 2041–2070 (2050s) and 2071–2100 (2080s) and its relationship to climate variability. The mean ensemble of the model results shows that the mean annual streamflow of the Sutlej River is expected to rise between the 2050s and 2080s by 0.79 to 1.43 % for SSP585 and by 0.87 to 1.10 % for SSP245.
Monica Coppo Frias, Suxia Liu, Xingguo Mo, Karina Nielsen, Heidi Ranndal, Liguang Jiang, Jun Ma, and Peter Bauer-Gottwein
Hydrol. Earth Syst. Sci., 27, 1011–1032, https://doi.org/10.5194/hess-27-1011-2023, https://doi.org/10.5194/hess-27-1011-2023, 2023
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This paper uses remote sensing data from ICESat-2 to calibrate a 1D hydraulic model. With the model, we can make estimations of discharge and water surface elevation, which are important indicators in flooding risk assessment. ICESat-2 data give an added value, thanks to the 0.7 m resolution, which allows the measurement of narrow river streams. In addition, ICESat-2 provides measurements on the river dry portion geometry that can be included in the model.
Claire Marie Kouba and Thomas Harter
Hydrol. Earth Syst. Sci. Discuss., https://doi.org/10.5194/hess-2023-41, https://doi.org/10.5194/hess-2023-41, 2023
Revised manuscript accepted for HESS
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In some watersheds, the severity of the dry season has a large impact on aquatic ecosystems. In this study, we design a way to predict, about 5 months in advance, how severe the dry season will be in a rural watershed in northern California. This early warning can support seasonal adaptive management. To predict these two values, we assess data about snow, rain, groundwater, and river flows. We find that maximum snowpack and total wet season rainfall best predict dry season severity.
Evgenia Koltsida, Nikos Mamassis, and Andreas Kallioras
Hydrol. Earth Syst. Sci., 27, 917–931, https://doi.org/10.5194/hess-27-917-2023, https://doi.org/10.5194/hess-27-917-2023, 2023
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Daily and hourly rainfall observations were inputted to a Soil and Water Assessment Tool (SWAT) hydrological model to investigate the impacts of rainfall temporal resolution on a discharge simulation. Results indicated that groundwater flow parameters were more sensitive to daily time intervals, and channel routing parameters were more influential for hourly time intervals. This study suggests that the SWAT model appears to be a reliable tool to predict discharge in a mixed-land-use basin.
Lillian M. McGill, E. Ashley Steel, and Aimee H. Fullerton
Hydrol. Earth Syst. Sci. Discuss., https://doi.org/10.5194/hess-2022-428, https://doi.org/10.5194/hess-2022-428, 2023
Revised manuscript accepted for HESS
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This study used the relationship between river water and air temperature to understand processes causing stream warming and predict how streams might respond to future climate warming. We found that the air-water relationship was diverse across sites and controlled largely by geology and snowmelt. Our findings can be used to inform strategies for river basin restoration and conservation, such as identifying climate insensitive areas of the basin that should be preserved and protected.
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. Discuss., https://doi.org/10.5194/hess-2023-25, https://doi.org/10.5194/hess-2023-25, 2023
Revised manuscript accepted for HESS
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The study determines the value of water towards ecosystem services production in an agricultural watershed in Ontario, Canada. It uses a computer model and an economic valuation approach to determine how subsurface and surface water affect ecosystem services supply. The results show that subsurface water plays a critical role in maintaining ecosystem services. The study informs on the sustainable use of subsurface water and introduces a new method for managing watershed ecosystem services.
Klaus Eckhardt
Hydrol. Earth Syst. Sci., 27, 495–499, https://doi.org/10.5194/hess-27-495-2023, https://doi.org/10.5194/hess-27-495-2023, 2023
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An important hydrological issue is to identify components of streamflow that react to precipitation with different degrees of attenuation and delay. From the multitude of methods that have been developed for this so-called hydrograph separation, a specific, frequently used one is singled out here. It is shown to be derived from plausible physical principles. This increases confidence in its results.
Beatrice Sabine Marti, Aidar Zhumabaev, and Tobias Siegfried
Hydrol. Earth Syst. Sci., 27, 319–330, https://doi.org/10.5194/hess-27-319-2023, https://doi.org/10.5194/hess-27-319-2023, 2023
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Numerical modelling is often used for climate impact studies in water resources management. It is, however, not yet highly accessible to many students of hydrology in Central Asia. One big hurdle for new learners is the preparation of relevant data prior to the actual modelling. We present a robust, open-source workflow and comprehensive teaching material that can be used by teachers and by students for self study.
Aniket Gupta, Alix Reverdy, Jean-Martial Cohard, Basile Hector, Marc Descloitres, Jean-Pierre Vandervaere, Catherine Coulaud, Romain Biron, Lucie Liger, Reed Maxwell, Jean-Gabriel Valay, and Didier Voisin
Hydrol. Earth Syst. Sci., 27, 191–212, https://doi.org/10.5194/hess-27-191-2023, https://doi.org/10.5194/hess-27-191-2023, 2023
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Patchy snow cover during spring impacts mountainous ecosystems on a large range of spatio-temporal scales. A hydrological model simulated such snow patchiness at 10 m resolution. Slope and orientation controls precipitation, radiation, and wind generate differences in snowmelt, subsurface storage, streamflow, and evapotranspiration. The snow patchiness increases the duration of the snowmelt to stream and subsurface storage, which sustains the plants and streamflow later in the summer.
Hendrik Rathjens, Jens Kiesel, Michael Winchell, Jeffrey Arnold, and Robin Sur
Hydrol. Earth Syst. Sci., 27, 159–167, https://doi.org/10.5194/hess-27-159-2023, https://doi.org/10.5194/hess-27-159-2023, 2023
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The SWAT model can simulate the transport of water-soluble chemicals through the landscape but neglects the transport through groundwater or agricultural tile drains. These transport pathways are, however, important to assess the amount of chemicals in streams. We added this capability to the model, which significantly improved the simulation. The representation of all transport pathways in the model enables watershed managers to develop robust strategies for reducing chemicals in streams.
Wencong Yang, Hanbo Yang, Changming Li, Taihua Wang, Ziwei Liu, Qingfang Hu, and Dawen Yang
Hydrol. Earth Syst. Sci., 26, 6427–6441, https://doi.org/10.5194/hess-26-6427-2022, https://doi.org/10.5194/hess-26-6427-2022, 2022
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We produced a daily 0.1° dataset of precipitation, soil moisture, and snow water equivalent in 1981–2017 across China via reconstructions. The dataset used global background data and local on-site data as forcing input and satellite-based data as reconstruction benchmarks. This long-term high-resolution national hydrological dataset is valuable for national investigations of hydrological processes.
Felipe A. Saavedra, Andreas Musolff, Jana von Freyberg, Ralf Merz, Stefano Basso, and Larisa Tarasova
Hydrol. Earth Syst. Sci., 26, 6227–6245, https://doi.org/10.5194/hess-26-6227-2022, https://doi.org/10.5194/hess-26-6227-2022, 2022
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Nitrate contamination of rivers from agricultural sources is a challenge for water quality management. During runoff events, different transport paths within the catchment might be activated, generating a variety of responses in nitrate concentration in stream water. Using nitrate samples from 184 German catchments and a runoff event classification, we show that hydrologic connectivity during runoff events is a key control of nitrate transport from catchments to streams in our study domain.
Marcos R. C. Cordeiro, Kang Liang, Henry F. Wilson, Jason Vanrobaeys, David A. Lobb, Xing Fang, and John W. Pomeroy
Hydrol. Earth Syst. Sci., 26, 5917–5931, https://doi.org/10.5194/hess-26-5917-2022, https://doi.org/10.5194/hess-26-5917-2022, 2022
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This study addresses the issue of increasing interest in the hydrological impacts of converting cropland to perennial forage cover in the Canadian Prairies. By developing customized models using the Cold Regions Hydrological Modelling (CRHM) platform, this long-term (1992–2013) modelling study is expected to provide stakeholders with science-based information regarding the hydrological impacts of land use conversion from annual crop to perennial forage cover in the Canadian Prairies.
Reyhaneh Hashemi, Pierre Brigode, Pierre-André Garambois, and Pierre Javelle
Hydrol. Earth Syst. Sci., 26, 5793–5816, https://doi.org/10.5194/hess-26-5793-2022, https://doi.org/10.5194/hess-26-5793-2022, 2022
Short summary
Short summary
Hydrologists have long dreamed of a tool that could adequately predict runoff in catchments. Data-driven long short-term memory (LSTM) models appear very promising to the hydrology community in this respect. Here, we have sought to benefit from traditional practices in hydrology to improve the effectiveness of LSTM models. We discovered that one LSTM parameter has a hydrologic interpretation and that there is a need to increase the data and to tune two parameters, thereby improving predictions.
Mu Xiao, Giuseppe Mascaro, Zhaocheng Wang, Kristen M. Whitney, and Enrique R. Vivoni
Hydrol. Earth Syst. Sci., 26, 5627–5646, https://doi.org/10.5194/hess-26-5627-2022, https://doi.org/10.5194/hess-26-5627-2022, 2022
Short summary
Short summary
As the major water resource in the southwestern United States, the Colorado River is experiencing decreases in naturalized streamflow and is predicted to face severe challenges under future climate scenarios. Here, we demonstrate the value of Earth observing satellites to improve and build confidence in the spatiotemporal simulations from regional hydrologic models for assessing the sensitivity of the Colorado River to climate change and supporting regional water managers.
Cited articles
Abbott, B. W., Baranov, V., Mendoza-Lera, C., Nikolakopoulou, M., Harjung,
A., Kolbe, T., Balasubramanian, M. N., Vaessen, T. N., Ciocca, F., Campeau,
A., Wallin, M. B., Romeijn, P., Antonelli, M., Gonçalves, J., Datry, T.,
Laverman, A. M., de Dreuzy, J.-R., Hannah, D. M., Krause, S., Oldham, C., and
Pinay, G.: Using multi-tracer inference to move beyond single-catchment
ecohydrology, Earth-Science Rev., 160, 19–42,
https://doi.org/10.1016/j.earscirev.2016.06.014, 2016.
Ala-aho, P., Tetzlaff, D., McNamara, J. P., Laudon, H., and Soulsby, C.: Using isotopes to constrain water flux and age estimates in snow-influenced catchments using the STARR (Spatially distributed Tracer-Aided Rainfall–Runoff) model, Hydrol. Earth Syst. Sci., 21, 5089–5110, https://doi.org/10.5194/hess-21-5089-2017, 2017.
Ameli, A. A., Amvrosiadi, N., Grabs, T., Laudon, H., Creed, I. F.,
McDonnell, J. J., and Bishop, K.: Hillslope permeability architecture
controls on subsurface transit time distribution and flow paths, J. Hydrol.,
543, 17–30, https://doi.org/10.1016/j.jhydrol.2016.04.071, 2016.
Aubin, I., Boisvert-Marsh, L., Kebli, H., McKenney, D., Pedlar,
J., Lawrence, K., Hogg, E. H., Boulanger, Y., Gauthier, S., and Ste-Marie,
C.: Tree vulnerability to climate change: improving exposure-based
assessments using traits as indicators of
sensitivity, Ecosphere, 9, e02108, https://doi.org/10.1002/ecs2.2108, 2018.
Barnett, T. P., Adam, J. C., and Lettenmaier, D. P.: Potential impacts of a
warming climate on water availability in snow-dominated regions, Nature,
438, 303, https://doi.org/10.1038/nature04141, 2005.
Bishop, K. H.: Episodic increases in stream acidity, catchment flow
pathways and hydrograph separation, PhD dissertation, Department of Geography, University of Cambridge, Cambridge, UK, 1991.
Bishop, K., Seibert, J., Nyberg, L., and Rodhe, A.: Water storage in a till
catchment. II: Implications of transmissivity feedback for flow paths and
turnover times, Hydrol. Process., 25, 3950–3959,
https://doi.org/10.1002/hyp.8355, 2011.
Bjerklie, D. M., Lawrence Dingman, S., Vorosmarty, C. J., Bolster, C. H.,
and Congalton, R.G.: Evaluating the potential for measuring river discharge
from space. J. Hydrol., 278, 17–38,
https://doi.org/10.1016/S0022-1694(03)00129-X, 2003.
Bosson, E., Sassner, M., Sabel, U., and Gustafsson, L.-G.: Modelling of present and future hydrology and solute transport at Forsmark, SKB R-10-02 Svensk Kärnbränslehantering AB, Stockholm, 2010.
Bosson, E., Sabel, U., Gustafsson, L. G., Sassner, M., and Destouni, G.: Influences of shifts in climate, landscape, and permafrost on terrestrial hydrology, J. Geophys.Res.-Atmos. 117, D05120, https://doi.org/10.1029/2011JD016429, 2012.
Bosson, E., Selroos, J.-O., Stigsson, M., Gustafsson, L.-G., and Destouni,
G.: Exchange and pathways of deep and shallow groundwater in different
climate and permafrost conditions using the Forsmark site, Sweden, as an
example catchment, Hydrogeol. J., 21, 225–237,
https://doi.org/10.1007/s10040-012-0906-7, 2013.
Botter, G., Bertuzzo, E., and Rinaldo, A.: Transport in the hydrologic
response: Travel time distributions, soil moisture dynamics, and the old
water paradox, Water Resour. Res., 46, W03514, https://doi.org/10.1029/2009WR008371,
2010.
Brirhet, H. and Benaabidate, L.: Comparison Of Two Hydrological Models (Lumped And Distributed) Over A Pilot Area Of The Issen Watershed In The Souss Basin, Morocco, European Scientific Journal, ESJ, 12, 347, https://doi.org/10.19044/esj.2016.v12n18p347, 2016.
Brown, R., Vikhamar-Schuler, D., Bulygina, O., Derksen, C., Luojus, K.,
Mudryk, L., Wang, L., and Yang, D.: Arctic terrestrial snow cover, Chapter 3,
in: Snow, water, ice and permafrost in the arctic (SWIPA) 2017,
Arctic Monitoring and Assessment Programme (AMAP), Oslo, Norway, 25–64 pp., 2017.
Burns, D. A., Plummer, L. N., McDonnell, J. J., Busenberg, E., Casile, G. C., Kendall, C., Hooper, R. P., Freer, J. E., Peters, N. E., Beven, K., and Schlosser, P.: The Geochemical Evolution of Riparian Ground Water in a Forested Piedmont Catchment, Groundwater, 41, 913–925, https://doi.org/10.1111/j.1745-6584.2003.tb02434.x, 2003.
Danesh-Yazdi, M., Foufoula-Georgiou, E., Karwan, D. L., and Botter, G.:
Inferring changes in water cycle dynamics of intensively managed landscapes
via the theory of time-variant travel time distributions, Water Resour.
Res., 52, 7593–7614, https://doi.org/10.1002/2016WR019091, 2016.
Destouni, G., Simic, E., and Graham, W.: On the applicability of analytical
methods for estimating solute travel time statistics in nonuniform
groundwater flow, Water Resour. Res., 37, 2303–2308,
https://doi.org/10.1029/2001WR000348, 2001.
DHI: MIKE powered by DHI – MIKE software, available at:
https://www.mikepoweredbydhi.com, last access: 10 March 2021.
Erlandsson, M., Oelkers, E. H., Bishop, K., Sverdrup, H., Belyazid, S.,
Ledesma, J. L. J., and Köhler, S. J.: Spatial and temporal variations of
base cation release from chemical weathering on a hillslope scale, Chem.
Geol., 441, 1–13, https://doi.org/10.1016/j.chemgeo.2016.08.008, 2016.
Erlandsson Lampa, M., Sverdrup, H. U., Bishop, K. H., Belyazid, S., Ameli, A., and Köhler, S. J.: Catchment export of base cations: improved mineral dissolution kinetics influence the role of water transit time, SOIL, 6, 231–244, https://doi.org/10.5194/soil-6-231-2020, 2020.
Fenicia, F., Wrede, S., Kavetski, D., Pfister, L., Hoffmann, L., Savenije,
H. H. G., and McDonnell, J. J.: Assessing the impact of mixing assumptions
on the estimation of streamwater mean residence time, Hydrol.
Proc., 24, 1730–1741, https://doi.org/10.1002/hyp.7595, 2010.
Frisbee, M. D., Phillips, F. M., Campbell, A. R., Liu, F., and Sanchez, S.
A.: Streamflow generation in a large, alpine watershed in the southern Rocky
Mountains of Colorado: Is streamflow generation simply the aggregation of
hillslope runoff responses?, Water Resour. Res., 47, W06512,
https://doi.org/10.1029/2010WR009391, 2011.
Goldthwait, R. P.: Till : a symposium, First Edn., The Ohio State University
Press, Columbus, USA, 1971.
Goller, R., Wilcke, W., Leng, M. J., Tobschall, H. J., Wagner, K., Valarezo,
C., and Zech, W.: Tracing water paths through small catchments under a
tropical montane rain forest in south Ecuador by an oxygen isotope approach,
J. Hydrol., 308, 67–80,
https://doi.org/10.1016/J.JHYDROL.2004.10.022, 2005.
Graham, D. N. and Butts, M. B.: Flexible, integrated watershed modelling with MIKE SHE, in: Watershed Models, edited by: Singh, V. P. and Frevert, D. K., CRC Press, Taylor & Francis: Boca Raton, FL, USA, 245–272 pp., ISBN 0849336090, 2005.
Harman, C. J.: Time-variable transit time distributions and transport:
Theory and application to storage-dependent transport of chloride in a
watershed, Water Resour. Res., 51, 1–30,
https://doi.org/10.1002/2014WR015707, 2015.
Heidbüchel, I., Troch, P. A., Lyon, S. W., and Weiler, M.: The master
transit time distribution of variable flow systems, Water Resour. Res., 48, W06520,
https://doi.org/10.1029/2011WR011293, 2012.
Heidbüchel, I., Yang, J., Musolff, A., Troch, P., Ferré, T., and Fleckenstein, J. H.: On the shape of forward transit time distributions in low-order catchments, Hydrol. Earth Syst. Sci., 24, 2895–2920, https://doi.org/10.5194/hess-24-2895-2020, 2020.
Hooper, R. P., Stone, A., Christophersen, N., de Grosbois, E., and Seip, H.
M.: Assessing the Birkenes Model of stream acidification using a multisignal
calibration methodology, Water Resour. Res., 24, 1308–1316,
https://doi.org/10.1029/WR024i008p01308, 1988.
Hrachowitz, M., Savenije, H., Bogaard, T. A., Tetzlaff, D., and Soulsby, C.: What can flux tracking teach us about water age distribution patterns and their temporal dynamics?, Hydrol. Earth Syst. Sci., 17, 533–564, https://doi.org/10.5194/hess-17-533-2013, 2013.
Hrachowitz, M., Fovet, O., Ruiz, L., and Savenije, H. H. G.: Transit time
distributions, legacy contamination and variability in biogeochemical
1/fα scaling: how are hydrological response dynamics linked to water
quality at the catchment scale?, Hydrol. Process., 29, 5241–5256,
https://doi.org/10.1002/hyp.10546, 2015.
Hrachowitz, M., Benettin, P., van Breukelen, B. M., Fovet, O., Howden, N. J.,
Ruiz, L., van der Velde, Y., and Wade, A. J.: Transit times – the link between
hydrology and water quality at the catchment scale, WIREs Water, 3, 629–657,
https://doi.org/10.1002/wat2.1155, 2016.
IPCC: Climate Change 2014: Synthesis Report, Contribution of Working Groups
I, II and III to the Fifth Assessment Report of the Intergovernmental Panel
on Climate Change, IPCC, Geneva, Switzerland, 151 pp., 2014.
Ivarsson H. and Johnson T.: Stratigraphy of the quaternary deposits in the Nyänget drainage area, within the Svartberget Forest Experimental Area, and a general geomorphological description of the Vindeln region, Swedish University of Agricultural Sciences (SLU), Umeå, Sweden, Stencil 6, 61 pp., 1988.
Jian, J., Ryu, D., Costelloe, J. F., and Su, C.-H.: Towards hydrological
model calibration using river level measurements. J. Hydrol. Reg. Stud., 10,
95–109, https://doi.org/10.1016/j.ejrh.2016.12.085, 2017.
Johansson, E., Gustafsson, L. G., Berglund, S., Lindborg, T., Selroos, J. O., Claesson Liljedahl, L., and Destouni, G.: Data evaluation and numerical modeling of hydrological interactions between active layer, lake and talik in a permafrost catchment, Western Greenland. J. Hydrol. 527, 688–703, https://doi.org/10.1016/j.jhydrol.2015.05.026, 2015.
Joyce, S., Simpson, T., Hartley, L., Applegate, D., Hoek, J., Jackson, P., and Swan, D.: Groundwater flow modelling of periods with 105 temperate climate conditions, SKB R-09-20 Svensk Kärnbränslehantering AB, Stockholm, 2010.
Jungqvist G., Oni S. K., Teutschbein C., and Futter M. N.: Effect of Climate
Change on Soil Temperature in Swedish Boreal Forests, PLoS ONE, 9, e93957,
https://doi.org/10.1371/journal.pone.0093957, 2014.
Jutebring Sterte, E., Johansson, E., Sjöberg, Y., Huseby Karlsen, R.,
and Laudon, H.: Groundwater-surface water interactions across scales in a
boreal landscape investigated using a numerical modelling approach, J. Hydrol., 560, 184–201, https://doi.org/10.1016/J.JHYDROL.2018.03.011,
2018.
Jutebring Sterte, E., Lindborg, E., Lidman, F., Laudon, H., Huseby Karlsen, R., and Sjöberg, Y.:
Surface-ground water interaction: From watershed processes to hyporheic exchange, Safe Deposit, available at: https://www.safedeposit.se/projects/166 (last access: 10 March 2021), 2020.
Kaandorp, V. P., de Louw, P. G. B., van der Velde, Y., and Broers, H.
P.: Transient Groundwater Travel Time Distributions and Age-Ranked
Storage-Discharge Relationships of Three Lowland Catchments, Water Resour.
Res., 54, 4519–4536, https://doi.org/10.1029/2017WR022461, 2018.
Karlsen, R. H., Grabs, T., Bishop, K., Buffam, I., Laudon, H., and Seibert,
J.: Landscape controls on spatiotemporal discharge variability in a boreal
catchment, Water Resour. Res., 52, 6541–6556,
https://doi.org/10.1002/2016WR019186, 2016.
Kirchner, J. W.: Aggregation in environmental systems – Part 1: Seasonal tracer cycles quantify young water fractions, but not mean transit times, in spatially heterogeneous catchments, Hydrol. Earth Syst. Sci., 20, 279–297, https://doi.org/10.5194/hess-20-279-2016, 2016.
Klaminder, J., Grip, H., Morth, C.-M., and Laudon, H.: Carbon mineralization
and pyrite oxidation in groundwater: Importance for silicate weathering in
boreal forest soils and stream base-flow chemistry, Appl. Geochem.,
26, 319–324, https://doi.org/10.1016/j.apgeochem.2010.12.005, 2011.
Klaus, J., Zehe, E., Elsner, M., Külls, C., and McDonnell, J. J.: Macropore flow of old water revisited: experimental insights from a tile-drained hillslope, Hydrol. Earth Syst. Sci., 17, 103–118, https://doi.org/10.5194/hess-17-103-2013, 2013.
Kolbe, T., Marçais, J., de Dreuzy, J.-R., Labasque, T., Bishop, K.: Lagged
rejuvenation of groundwater indicates internal flow structures and
hydrological connectivity, Hydrol. Process., 34, 2176–2189,
https://doi.org/10.1002/hyp.13753, 2020.
Kralik, M.: How to Estimate Mean Residence Times of Groundwater, Proced.
Earth Plan. Sc., 13, 301–306,
https://doi.org/10.1016/J.PROEPS.2015.07.070, 2015.
Kristensen, K. J. and S. E. Jensen.: A model for estimating actual
evapotranspiration from potential evapotranspiration, Royal Veterinary and
Agricultural University, Nord. Hydrol., 6, 170–188, 1975.
Krycklan Database: Hydrological Research at Krycklan Catchment Study,
available at: https://www.slu.se/Krycklan (last access: 10 March 2021), 2013.
Laudon, H. and Sponseller, R. A.: How landscape organization and scale shape
catchment hydrology and biogeochemistry: insights from a long-term catchment
study, WIREs Water, 5, e1265, https://doi.org/10.1002/wat2.1265, 2018.
Laudon, H., Seibert, J., Köhler, S., and Bishop, K.: Hydrological flow
paths during snowmelt: Congruence between hydrometric measurements and
oxygen 18 in meltwater, soil water, and runoff, Water Resour. Res., 40,
W03102, https://doi.org/10.1029/2003WR002455, 2004.
Laudon, H., Sjöblom, V., Buffam, I., Seibert, J., and Mörth, M.: The
role of catchment scale and landscape characteristics for runoff generation
of boreal streams, J. Hydrol., 344, 198–209, 2007.
Laudon, H., Berggren, M., Ågren, A., Buffam, I., Bishop, K., Grabs, T., Jansson, J., and Köhler, S.: Patterns and Dynamics of
Dissolved Organic Carbon (DOC) in Boreal Streams: The Role of Processes,
Connectivity, and Scaling, Ecosystems, 14, 880–893,
https://doi.org/10.1007/s10021-011-9452-8, 2011.
Laudon, H., Taberman, I., Ågren, A., Futter, M., Ottosson-Löfvenius,
M., and Bishop, K.: The Krycklan Catchment Study – A flagship infrastructure
for hydrology, biogeochemistry, and climate research in the boreal
landscape, Water Resour. Res., 49, 7154–7158,
https://doi.org/10.1002/wrcr.20520, 2013.
Leach, J. A. and Laudon, H.: Headwater lakes and their influence on
downstream discharge, Limnology and Oceanography Letters, 4, 105–112,
https://doi.org/10.1002/lol2.10110, 2019.
Ledesma, J. L. J., Grabs, T., Futter, M. N., Bishop, K. H., Laudon, H., and Köhler, S. J.: Riparian zone control on base cation concentration in boreal streams, Biogeosciences, 10, 3849–3868, https://doi.org/10.5194/bg-10-3849-2013, 2013.
Ledesma, J. L. J., Futter, M. N., Blackburn, M., F., Lidman, F., Grabs, T., Sponseller, R. A., Laudon, H., Bishop, K. H., and Köhler, S. J.: Towards an Improved Conceptualization of Riparian
Zones in Boreal Forest Headwaters, Ecosystems, 21, 297–315,
https://doi.org/10.1007/s10021-017-0149-5, 2018.
Li, C., Liu, J., Yu, F., Tian, J., Wang, Y., and Qiu, Q.: Hydrological model calibration in data-limited catchments using non-continuous data series with different lengths, EPiC Series in Engineering 3, EasyChair, Palermo, Italy, 1155–1161 pp., 2018.
Lidman, F., Köhler, S. J., Morth, C.-M., and Laudon, H.: Metal transport
in the boreal landscape – the role of wetlands and the affinity for organic
matter, Environmental Science & Technology,
https://doi.org/10.1021/es4045506, 2014.
Lidman, F., Peralta-Tapia, A., Vesterlund, A., and Laudon, H.: 234U 238U in
a boreal stream network – Relationship to hydrological events, groundwater
and scale, Chem. Geol., 420, 240–250, https://doi.org/10.1016/j.chemgeo.2015.11.014,
2016.
Lidman, F., Boily, Å., Laudon, H., and Köhler, S. J.: From soil water to surface water – how the riparian zone controls element transport from a boreal forest to a stream, Biogeosciences, 14, 3001–3014, https://doi.org/10.5194/bg-14-3001-2017, 2017.
Lin, H.: Earth's Critical Zone and hydropedology: concepts, characteristics, and advances, Hydrol. Earth Syst. Sci., 14, 25–45, https://doi.org/10.5194/hess-14-25-2010, 2010.
Lutz, S. R., Krieg, R., Müller, C., Zink, M., Knöller, K.,
Samaniego, L., and Merz, R.: Spatial Patterns of Water Age: Using Young
Water Fractions to Improve the Characterization of Transit Times in
Contrasting Catchments, Water Resour. Res., 54, 4767–4784,
https://doi.org/10.1029/2017WR022216, 2018.
Lyon, S. W., Ploum, S. W., van der Velde, Y., Rocher-Ros, G., Mörth,
C.-M., and Giesler, R.: Lessons learned from monitoring the stable water
isotopic variability in precipitation and streamflow across a snow-dominated
subarctic catchment, Arct. Antarct. Alp. Res., 50, e1454778,
https://doi.org/10.1080/15230430.2018.1454778, 2018.
Massoudieh, A., Sharifi, S., and Solomon, D. K.: Bayesian evaluation of
groundwater age distribution using radioactive tracers and anthropogenic
chemicals, Water Resour. Res., 48,
https://doi.org/10.1029/2012WR011815, 2012.
Massoudieh, A., Dentz, M., and Alikhani, J.: A spatial Markov model for the
evolution of the joint distribution of groundwater age, arrival time, and
velocity in heterogeneous media, Water Resour. Res., 53, 5495–5515,
https://doi.org/10.1002/2017WR020578, 2017.
Maulé, C. P. and Stein, J.: Hydrologic Flow Path Definition and
Partitioning of Spring Meltwater, Water Resour. Res., 26,
2959–2970, https://doi.org/10.1029/WR026i012p02959, 1990.
McDonnell, J. J. and Beven, K.: Debates – The future of hydrological
sciences: A (common) path forward? A call to action aimed at understanding
velocities, celerities and residence time distributions of the headwater
hydrograph, Water Resour. Res., 50, 5342–5350,
https://doi.org/10.1002/2013WR015141, 2014.
McDonnell, J. J., McGuire, K., Aggarwal, P., Beven, K. J., Biondi, D., Destouni, G., Dunn, S., James, A., Kirchner, J., Kraft, P. J. H. P., and Lyon, S.: How old is streamwater? Open questions in catchment
travel time conceptualization, modelling and analysis, Hydrol.
Process., 24, 1745–1754, https://doi.org/10.1002/hyp.7796, 2010.
McGuire, K. J. and McDonnell, J. J.: A review and evaluation of catchment
transit time modeling, J. Hydrol., 330, 543–563,
https://doi.org/10.1016/j.jhydrol.2006.04.020, 2006.
McGuire, K. J., McDonnell, J. J., Weiler, M., Kendall, C., McGlynn, B. L.,
Welker, J. M., and Seibert, J.: The role of topography on catchment-scale
water residence time, Water Resour. Res., 41, W05002,
https://doi.org/10.1029/2004WR003657, 2005.
McGuire, K. J., Weiler, M., and McDonnell, J. J.: Integrating tracer
experiments with modeling to assess runoff processes and water transit
times, Adv. Water Resour., 30, 824–837,
https://doi.org/10.1016/j.advwatres.2006.07.004, 2007.
Morris, D. A. and Johnson, A. I.: Summary of hydrologic and physical properties of rock and soil materials, as analyzed by the hydrologic laboratory of the US Geological Survey, 1948–60, No. 1839-D, US Government Printing Office, https://doi.org/10.3133/wsp1839D, 1967.
Nyberg, L.: Water flow path interactions with soil hydraulic properties in
till soil at Gårdsjön, Sweden, J. Hydrol., 170,
255–275, https://doi.org/10.1016/0022-1694(94)02667-Z,
1995.
Peralta-Tapia, A., Sponseller, R. A., Ågren, A., Tetzlaff, D., Soulsby,
C., and Laudon, H.: Scale-dependent groundwater contributions influence
patterns of winter baseflow stream chemistry in boreal catchments, J. Geophys. Res.-Biogeo., 120, 847–858,
https://doi.org/10.1002/2014JG002878, 2015.
Peralta-Tapia, A., Soulsby, C., Tetzlaff, D., Sponseller, R., Bishop, K.,
and Laudon, H.: Hydroclimatic influences on non-stationary travel time
distributions in a boreal headwater catchment, J. Hydrol., 543, 7–16,
https://doi.org/10.1016/j.jhydrol.2016.01.079, 2016.
Peters, N. E., Burns, D. A., and Aulenbach, B. T.: Evaluation of High-Frequency
Mean Streamwater Transit-Time Estimates Using Groundwater Age and Dissolved
Silica Concentrations in a Small Forested Watershed, Aquat. Geochem., 20,
183–202, https://doi.org/10.1007/s10498-013-9207-6, 2014.
Rahim, B. E. A., Yusoff, I., Jafri, A. M., Othman, Z., and Abdul Ghani, A.:
Application of MIKE SHE modelling system to set up a detailed water balance
computation, Water Environ. J., 26, 490–503, https://doi.org/10.1111/j.1747-6593.2012.00309.x, 2012.
Remondi, F., Kirchner, J. W., Burlando, P., and Fatichi, S.: Water flux
tracking with a distributed hydrological model to quantify controls on the
spatio-temporal variability of transit time distributions, Water Resour.
Res., 54, 3081–3099, 2018.
Rinaldo, A., Beven, K. J., Bertuzzo, E., Nicotina, L., Davies, J., Fiori,
A., Russo, D., and Botter, G.: Catchment travel time distributions and water
flow in soils, Water Resour. Res., 47, W07537, https://doi.org/10.1029/2011WR010478,
2011.
Rodhe, A., Nyberg, L., and Bishop, K.: Transit Times for Water in a Small
Till Catchment from a Step Shift in the Oxygen 18 Content of the Water
Input, Water Resour. Res., 32, 3497–3511,
https://doi.org/10.1029/95WR01806, 1996.
Seibert, J., Rodhe, A., and Bishop, K.: Simulating interactions between
saturated and unsaturated storage in a conceptual runoff model, Hydrol.
Process., 17, 379–390, https://doi.org/10.1002/hyp.1130, 2003.
Seibert, J., Grabs, T., Köhler, S., Laudon, H., Winterdahl, M., and Bishop, K.: Linking soil- and stream-water chemistry based on a Riparian Flow-Concentration Integration Model, Hydrol. Earth Syst. Sci., 13, 2287–2297, https://doi.org/10.5194/hess-13-2287-2009, 2009.
Sishodia, R. P., Shukla, S., Graham, W. D., Wani, S. P., Jones, J. W., and
Heaney, J.: Current and future groundwater withdrawals: Effects, management
and energy policy options for a semi-arid Indian watershed, Adv. Water
Resour., 110, 459–475, https://doi.org/10.1016/j.advwatres.2017.05.014,
2017.
Soltani, S. S.: Hydrological Transport in Shallow Catchments: tracer discharge, travel time and water age., PhD diss., KTH Royal Institute of Technology, Stockholm, Sweden, 2017.
Spence, C. and Phillips, R. W.: Refining understanding of hydrological
connectivity in a boreal catchment, Hydrol. Process., 29, 3491–3503,
https://doi.org/10.1002/hyp.10270, 2015.
Spence, C., Guan, X. J., and Phillips, R.: The Hydrological Functions of a
Boreal Wetland, Wetlands, 31, 75–85,
https://doi.org/10.1007/s13157-010-0123-x, 2011.
Sprenger, M., Tetzlaff, D., Buttle, J., Laudon, H., and Soulsby, C.: Water ages in the critical zone of long-term experimental sites in northern latitudes, Hydrol. Earth Syst. Sci., 22, 3965–3981, https://doi.org/10.5194/hess-22-3965-2018, 2018.
Stockinger, M. P., Bogena, H. R., Lücke, A., Stumpp, C., and Vereecken, H.: Time variability and uncertainty in the fraction of young water in a small headwater catchment, Hydrol. Earth Syst. Sci., 23, 4333–4347, https://doi.org/10.5194/hess-23-4333-2019, 2019.
Swedish Geological Survey: Soil depth to bedrock map, available at: https://www.sgu.se/en/products/maps (last access: 18 April 2016), 2016.
Taagepera, R.: Making Social Sciences More Scientific: The Need for
Predictive Models, Oxford University Press, Oxford,
https://doi.org/10.1093/acprof:oso/9780199534661.001.0001, 2008.
Tetzlaff, D. and Soulsby, C.: Sources of baseflow in larger catchments –
Using tracers to develop a holistic understanding of runoff generation,
J. Hydrol., 359, 287–302, 2008.
Tetzlaff, D., Seibert, J., McGuire, K. J., Laudon, H., Burns, D. A., Dunn,
S. M., and Soulsby, C.: How does landscape structure influence catchment
transit time across different geomorphic provinces?, Hydrol. Process., 23,
945–953, https://doi.org/10.1002/hyp.7240, 2009.
Tetzlaff, D., Buttle, J., Carey, S. K., McGuire, K., Laudon, H., and Soulsby,
C.: Tracer based assessment of flow paths, storage and runoff generation in
northern catchments: a review, Hydrol. Process., 29, 3475–3490,
https://doi.org/10.1002/hyp.10412, 2015.
Tiwari, T., Buffam, I., Sponseller, R. A., and Laudon, H.: Inferring
scale-dependent processes influencing stream water biogeochemistry from
headwater to sea, Limnology and Oceanography, 62, S58–S70,
https://doi.org/10.1002/lno.10738, 2017.
Tremblay, L., Larocque, M., Anctil, F., and Rivard C.: Teleconnections and
interannual variability in Canadian groundwater levels, J.
Hydrol., 410, 178–188, https://doi.org/10.1016/j.jhydrol.2011.09.013, 2011.
Uhlenbrook, S., Frey, M., Leibundgut, C., and Maloszewski, P.: Hydrograph
separations in a mesoscale mountainous basin at event and seasonal
timescales, Water Resour. Res., 38, 14–31,
https://doi.org/10.1029/2001WR000938, 2002.
Unlu, E. and Faller, J. F.: Geometric mean vs. Arithmetic mean in
extrusion residence time studies, Polym. Eng. Sci., 41, 743–751,
https://doi.org/10.1002/pen.10770, 2001.
van der Velde, Y., Heidbüchel, I., Lyon, S. W., Nyberg, L., Rodhe, A., Bishop,
K., and Troch, P. A.: Consequences of mixing assumptions for time-variable
travel time distributions, Hydrol. Process., 29, 3460–3474, https://doi.org/10.1002/hyp.10372, 2015.
van der Velde, Y., Torfs, P. J. J. F., Zee, S. E. A. T. M., and Uijlenhoet,
R.: Quantifying catchment-scale mixing and its effect on time-varying travel
time distributions, Water Resour. Res., 48, W06536,
https://doi.org/10.1029/2011WR011310, 2012.
von Freyberg, J., Allen, S. T., Seeger, S., Weiler, M., and Kirchner, J. W.: Sensitivity of young water fractions to hydro-climatic forcing and landscape properties across 22 Swiss catchments, Hydrol. Earth Syst. Sci., 22, 3841–3861, https://doi.org/10.5194/hess-22-3841-2018, 2018.
Wang, L., van Meerveld, H. J., and Seibert, J.: When should stream water be
sampled to be most informative for event-based, multi-criteria model
calibration?, Hydrol. Res., 48, 1566–1584, https://doi.org/10.2166/nh.2017.197, 2017.
Wang, S., Zhang, Z., Sun, G., Strauss, P., Guo, J., Tang, Y., and Yao, A.: Multi-site calibration, validation, and sensitivity analysis of the MIKE SHE Model for a large watershed in northern China, Hydrol. Earth Syst. Sci., 16, 4621–4632, https://doi.org/10.5194/hess-16-4621-2012, 2012.
Wijesekara, G. N., Farjad, B., Gupta, A., Qiao, Y., Delaney, P., and Marceau,
D. J.: A Comprehensive Land-Use/Hydrological Modeling System for Scenario
Simulations in the Elbow River Watershed, Alberta, Canada, Environ. Manage.,
53, 357–381, https://doi.org/10.1007/s00267-013-0220-8, 2014.
Wolock, D. M., Fan, J., and Lawrence, G. B.: Effects of basin size on
low-flow stream chemistry and subsurface contact time in the Neversink River
watershed, New York, Hydrol. Process., 11, 1273–1286,
https://doi.org/10.1002/(SICI)1099-1085(199707)11:9<1273::AID-HYP557>3.0.CO;2-S, 1997.
Yang, J., Heidbüchel, I., Musolff, A., Reinstorf, F., and Fleckenstein,
J. H.: Exploring the dynamics of transit times and subsurface mixing in a
small agricultural catchment, Water Resour. Res., 54, 2317–2335,
https://doi.org/10.1002/2017WR021896, 2018.
Zhang, C. and Zhang, S.: A robust-symmetric mean: A new way of mean calculation
for environmental data, GeoJournal, 40, 209–212,
https://doi.org/10.1007/BF00222547, 1996.
Zimmer, M. A., Bailey, S. W., McGuire, K. J., and Bullen, T. D.: Fine scale
variations of surface water chemistry in an ephemeral to perennial drainage
network, Hydrol. Process., 27, 3438–3451,
https://doi.org/10.1002/hyp.9449, 2012.
Short summary
A numerical model was used to estimate annual and seasonal mean travel times across 14 long-term nested monitored catchments in the boreal region. The estimated travel times and young water fractions were consistent with observed variations of base cation concentration and stable water isotopes, δ18O. Soil type was the most important factor regulating the variation in mean travel times among sub-catchments, while the areal coverage of mires increased the young water fraction.
A numerical model was used to estimate annual and seasonal mean travel times across 14 long-term...