Articles | Volume 23, issue 6
https://doi.org/10.5194/hess-23-2507-2019
© 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-23-2507-2019
© Author(s) 2019. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Research article
| 
03 Jun 2019
Research article |
| 03 Jun 2019
| 03 Jun 2019
Spatially distributed tracer-aided runoff modelling and dynamics of storage and water ages in a permafrost-influenced catchment
Thea I. Piovano
Northern Rivers Institute, University of Aberdeen, Aberdeen, AB24 3UF, UK
Doerthe Tetzlaff
CORRESPONDING AUTHOR
Geography Department, Humboldt-Universität zu Berlin, 12489 Berlin, Germany
IGB Leibniz-Institute of Freshwater Ecology and Inland Fisheries, 12587 Berlin, Germany
Northern Rivers Institute, University of Aberdeen, Aberdeen, AB24 3UF, UK
Sean K. Carey
School of Geography and Earth Sciences, McMaster University, Hamilton, L8S 4K1, Ontario, Canada
Nadine J. Shatilla
School of Geography and Earth Sciences, McMaster University, Hamilton, L8S 4K1, Ontario, Canada
Aaron Smith
IGB Leibniz-Institute of Freshwater Ecology and Inland Fisheries, 12587 Berlin, Germany
Chris Soulsby
Northern Rivers Institute, University of Aberdeen, Aberdeen, AB24 3UF, UK
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Maria Magdalena Warter, Dörthe Tetzlaff, Chris Soulsby, Tobias Goldhammer, Daniel Gebler, Kati Vierikko, and Michael T. Monaghan
Hydrol. Earth Syst. Sci., 29, 2707–2725, https://doi.org/10.5194/hess-29-2707-2025, https://doi.org/10.5194/hess-29-2707-2025, 2025
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There is a lack of understanding of how urban aquatic nature-based solutions (aquaNBSs) affect ecohydrology and how they in turn are affected by urbanization and climate change. We use a multi-tracer approach of stable water isotopes, hydrochemistry, and microbial and macrophyte diversity to disentangle the effects of hydroclimate and urbanization. The results show potential limitations of aquaNBSs regarding water quality and biodiversity in response to hydroclimate and urban water sources.
Cong Jiang, Doerthe Tetzlaff, Songjun Wu, Christian Birkel, Hjalmar Laudon, and Chris Soulsby
EGUsphere, https://doi.org/10.5194/egusphere-2025-2533, https://doi.org/10.5194/egusphere-2025-2533, 2025
This preprint is open for discussion and under review for Hydrology and Earth System Sciences (HESS).
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We used a modelling approach supported by stable water isotopes to explore how forest management – such as conifer, broadleaf, and mixed tree–crop systems – affects water distribution and drought resilience in a drought-sensitive region of Germany. By representing forest type, density, and rooting depth, the model helps quantify and show how land use choices affect water availability and supports better land and water management decisions.
Arsh Grewal, Erin M. Nicholls, and Sean K. Carey
Hydrol. Earth Syst. Sci., 29, 2467–2483, https://doi.org/10.5194/hess-29-2467-2025, https://doi.org/10.5194/hess-29-2467-2025, 2025
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Stream chemistry in permafrost watersheds is highly seasonal due to ground thaw and declining streamflow after spring melt, reducing hydrologic connectivity with organic-rich flow paths in fall. We quantified the magnitude of stream chemistry seasonality (driven by processes other than seasonal streamflow) across 10 watersheds. Watersheds with steeper slopes saw a more rapid decline in DOC (dissolved organic carbon) concentrations, while greater permafrost extent led to a greater relative increase in ion concentrations.
Hanwu Zheng, Doerthe Tetzlaff, Christian Birkel, Songjun Wu, Tobias Sauter, and Chris Soulsby
EGUsphere, https://doi.org/10.5194/egusphere-2025-2166, https://doi.org/10.5194/egusphere-2025-2166, 2025
This preprint is open for discussion and under review for Hydrology and Earth System Sciences (HESS).
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Ecohydrological processes in heavily managed catchments are often incorrectly represented in models. We applied a tracer-aided model STARR in an ET-dominated region (the Middle Spree, NE Germany) with major management impacts. Water isotopes were useful in identifying runoff contributions and partitioning ET even at sparse resolution. Trade-offs between discharge- and isotope-based calibrations could be partially mitigated by integrating more process-based conceptualizations into the model.
Ann-Marie Ring, Dörthe Tetzlaff, Christian Birkel, and Chris Soulsby
EGUsphere, https://doi.org/10.5194/egusphere-2025-1444, https://doi.org/10.5194/egusphere-2025-1444, 2025
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During summer drought, a clear sub-daily cycling of atmospheric water vapour isotopes (δv) and plant xylem water isotopes (δxyl) was observed. δv daytime depletion was driven by evaporation and local atmospheric factors (entrainment). δxyl daytime enrichment was consistent with limited sap flow and stomatal regulation of transpiration. Water limitations during drought in urban trees are visible in δxyl and ecohydrological data. This sub-daily dataset can help constrain ecohydrological models.
Andras J. Szeitz and Sean K. Carey
Hydrol. Earth Syst. Sci., 29, 1083–1101, https://doi.org/10.5194/hess-29-1083-2025, https://doi.org/10.5194/hess-29-1083-2025, 2025
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Stream temperature sensitivity in northern regions responds to many of the same environmental controls as in temperate regions, but the presence of annually frozen ground (permafrost) influences catchment hydrology and stream temperature regimes. Permafrost can have positive and negative influences on thermal regimes. The net effect of northern environmental change on stream temperature is complex and uncertain, but permafrost will likely play a role through its control on cold region hydrology.
Maria Magdalena Warter, Dörthe Tetzlaff, Christian Marx, and Chris Soulsby
Nat. Hazards Earth Syst. Sci., 24, 3907–3924, https://doi.org/10.5194/nhess-24-3907-2024, https://doi.org/10.5194/nhess-24-3907-2024, 2024
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Streams are increasingly impacted by droughts and floods. Still, the amount of water needed for sustainable flows remains unclear and contested. A comparison of two streams in the Berlin–Brandenburg region of northeast Germany, using stable water isotopes, shows strong groundwater dependence with seasonal rainfall contributing to high/low flows. Understanding streamflow variability can help us assess the impacts of climate change on future water resource management.
Salim Goudarzi, Chris Soulsby, Jo Smith, Jamie Lee Stevenson, Alessandro Gimona, Scot Ramsay, Alison Hester, Iris Aalto, and Josie Geris
EGUsphere, https://doi.org/10.5194/egusphere-2024-2258, https://doi.org/10.5194/egusphere-2024-2258, 2024
Preprint archived
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Planting trees on farmlands is now considered as one of the potential solutions to climate change. Trees can suck CO2 out of our atmosphere and store it in their trunks and in the soil beneath them. They can promote biodiversity, protect against soil erosion and drought. They can even help reduce flood risk for downstream communities. But we need models that can tell us the likely impact of trees at different locations and scales. Our study provides such a model.
M. Graham Clark and Sean K. Carey
Geosci. Model Dev., 17, 4911–4922, https://doi.org/10.5194/gmd-17-4911-2024, https://doi.org/10.5194/gmd-17-4911-2024, 2024
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This paper provides validation of the Canadian Small Lakes Model (CSLM) for estimating evaporation rates from reservoirs and a refactoring of the original FORTRAN code into MATLAB and Python, which are now stored in GitHub repositories. Here we provide direct observations of the surface energy exchange obtained with an eddy covariance system to validate the CSLM. There was good agreement between observations and estimations except under specific atmospheric conditions when evaporation is low.
Doerthe Tetzlaff, Aaron Smith, Lukas Kleine, Hauke Daempfling, Jonas Freymueller, and Chris Soulsby
Earth Syst. Sci. Data, 15, 1543–1554, https://doi.org/10.5194/essd-15-1543-2023, https://doi.org/10.5194/essd-15-1543-2023, 2023
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We present a comprehensive set of ecohydrological hydrometric and stable water isotope data of 2 years of data. The data set is unique as the different compartments of the landscape were sampled and the effects of a prolonged drought (2018–2020) captured by a marked negative rainfall anomaly (the most severe regional drought of the 21st century). Thus, the data allow the drought effects on water storage, flux and age dynamics, and persistence of lowland landscapes to be investigated.
Xiaoqiang Yang, Doerthe Tetzlaff, Chris Soulsby, and Dietrich Borchardt
Geosci. Model Dev. Discuss., https://doi.org/10.5194/gmd-2022-239, https://doi.org/10.5194/gmd-2022-239, 2022
Preprint retracted
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We develop the catchment water quality assessment platform HiWaQ v1.0, which is compatible with multiple hydrological model structures. The nitrogen module (HiWaQ-N) and its coupling tests with two contrasting grid-based hydrological models demonstrate the robustness of the platform in estimating catchment N dynamics. With the unique design of the coupling flexibility, HiWaQ can leverage advancements in hydrological modelling and advance integrated catchment water quantity-quality assessments.
Guangxuan Li, Xi Chen, Zhicai Zhang, Lichun Wang, and Chris Soulsby
Hydrol. Earth Syst. Sci., 26, 5515–5534, https://doi.org/10.5194/hess-26-5515-2022, https://doi.org/10.5194/hess-26-5515-2022, 2022
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We developed a coupled flow–tracer model to understand the effects of passive storage on modeling hydrological function and isotope dynamics in a karst flow system. Models with passive storages show improvement in matching isotope dynamics performance, and the improved performance also strongly depends on the number and location of passive storages. Our results also suggested that the solute transport is primarily controlled by advection and hydrodynamic dispersion in the steep hillslope unit.
Aaron Smith, Doerthe Tetzlaff, Jessica Landgraf, Maren Dubbert, and Chris Soulsby
Biogeosciences, 19, 2465–2485, https://doi.org/10.5194/bg-19-2465-2022, https://doi.org/10.5194/bg-19-2465-2022, 2022
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This research utilizes high-spatiotemporal-resolution soil and vegetation measurements, including water stable isotopes, within an ecohydrological model to partition water flux dynamics and identify flow paths and durations. Results showed high vegetation water use and high spatiotemporal dynamics of vegetation water source and vegetation isotopes. The evaluation of these dynamics further revealed relatively fast flow paths through both shallow soil and vegetation.
Jessica Landgraf, Dörthe Tetzlaff, Maren Dubbert, David Dubbert, Aaron Smith, and Chris Soulsby
Hydrol. Earth Syst. Sci., 26, 2073–2092, https://doi.org/10.5194/hess-26-2073-2022, https://doi.org/10.5194/hess-26-2073-2022, 2022
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Using water stable isotopes, we studied from which water source (lake water, stream water, groundwater, or soil water) two willows were taking their water. We monitored the environmental conditions (e.g. air temperature and soil moisture) and the behaviour of the trees (water flow in the stem). We found that the most likely water sources of the willows were the upper soil layers but that there were seasonal dynamics.
Aaron J. Neill, Christian Birkel, Marco P. Maneta, Doerthe Tetzlaff, and Chris Soulsby
Hydrol. Earth Syst. Sci., 25, 4861–4886, https://doi.org/10.5194/hess-25-4861-2021, https://doi.org/10.5194/hess-25-4861-2021, 2021
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Structural changes (cover and height of vegetation plus tree canopy characteristics) to forests during regeneration on degraded land affect how water is partitioned between streamflow, groundwater recharge and evapotranspiration. Partitioning most strongly deviates from baseline conditions during earlier stages of regeneration with dense forest, while recovery may be possible as the forest matures and opens out. This has consequences for informing sustainable landscape restoration strategies.
Mikael Gillefalk, Dörthe Tetzlaff, Reinhard Hinkelmann, Lena-Marie Kuhlemann, Aaron Smith, Fred Meier, Marco P. Maneta, and Chris Soulsby
Hydrol. Earth Syst. Sci., 25, 3635–3652, https://doi.org/10.5194/hess-25-3635-2021, https://doi.org/10.5194/hess-25-3635-2021, 2021
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We used a tracer-aided ecohydrological model to quantify water flux–storage–age interactions for three urban vegetation types: trees, shrub and grass. The model results showed that evapotranspiration increased in the order shrub < grass < trees during one growing season. Additionally, we could show how
infiltration hotspotscreated by runoff from sealed onto vegetated surfaces can enhance both evapotranspiration and groundwater recharge.
Aaron Smith, Doerthe Tetzlaff, Lukas Kleine, Marco Maneta, and Chris Soulsby
Hydrol. Earth Syst. Sci., 25, 2239–2259, https://doi.org/10.5194/hess-25-2239-2021, https://doi.org/10.5194/hess-25-2239-2021, 2021
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We used a tracer-aided ecohydrological model on a mixed land use catchment in northeastern Germany to quantify water flux–storage–age interactions at four model grid resolutions. The model's ability to reproduce spatio-temporal flux–storage–age interactions decreases with increasing model grid sizes. Similarly, larger model grids showed vegetation-influenced changes in blue and green water partitioning. Simulations reveal the value of measured soil and stream isotopes for model calibration.
Jenna R. Snelgrove, James M. Buttle, Matthew J. Kohn, and Dörthe Tetzlaff
Hydrol. Earth Syst. Sci., 25, 2169–2186, https://doi.org/10.5194/hess-25-2169-2021, https://doi.org/10.5194/hess-25-2169-2021, 2021
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Co-evolution of plant and soil water isotopic composition throughout the growing season in a little-studied northern mixed forest landscape was explored. Marked inter-specific differences in the isotopic composition of xylem water relative to surrounding soil water occurred, despite thin soil cover constraining inter-species differences in rooting depths. We provide potential explanations for differences in temporal evolution of xylem water isotopic composition in this northern landscape.
Chris M. DeBeer, Howard S. Wheater, John W. Pomeroy, Alan G. Barr, Jennifer L. Baltzer, Jill F. Johnstone, Merritt R. Turetsky, Ronald E. Stewart, Masaki Hayashi, Garth van der Kamp, Shawn Marshall, Elizabeth Campbell, Philip Marsh, Sean K. Carey, William L. Quinton, Yanping Li, Saman Razavi, Aaron Berg, Jeffrey J. McDonnell, Christopher Spence, Warren D. Helgason, Andrew M. Ireson, T. Andrew Black, Mohamed Elshamy, Fuad Yassin, Bruce Davison, Allan Howard, Julie M. Thériault, Kevin Shook, Michael N. Demuth, and Alain Pietroniro
Hydrol. Earth Syst. Sci., 25, 1849–1882, https://doi.org/10.5194/hess-25-1849-2021, https://doi.org/10.5194/hess-25-1849-2021, 2021
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This article examines future changes in land cover and hydrological cycling across the interior of western Canada under climate conditions projected for the 21st century. Key insights into the mechanisms and interactions of Earth system and hydrological process responses are presented, and this understanding is used together with model application to provide a synthesis of future change. This has allowed more scientifically informed projections than have hitherto been available.
Lena-Marie Kuhlemann, Doerthe Tetzlaff, Aaron Smith, Birgit Kleinschmit, and Chris Soulsby
Hydrol. Earth Syst. Sci., 25, 927–943, https://doi.org/10.5194/hess-25-927-2021, https://doi.org/10.5194/hess-25-927-2021, 2021
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We studied water partitioning under urban grassland, shrub and trees during a warm and dry growing season in Berlin, Germany. Soil evaporation was highest under grass, but total green water fluxes and turnover time of soil water were greater under trees. Lowest evapotranspiration losses under shrub indicate potential higher drought resilience. Knowledge of water partitioning and requirements of urban green will be essential for better adaptive management of urban water and irrigation strategies.
Lukas Kleine, Doerthe Tetzlaff, Aaron Smith, Hailong Wang, and Chris Soulsby
Hydrol. Earth Syst. Sci., 24, 3737–3752, https://doi.org/10.5194/hess-24-3737-2020, https://doi.org/10.5194/hess-24-3737-2020, 2020
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We investigated the effects of the 2018 drought on water partitioning in a lowland catchment under grassland and forest in north-eastern Germany. Conditions resulted in drying up of streams, yield losses, and lower groundwater levels. Oak trees continued to transpire during the drought. We used stable isotopes to assess the fluxes and ages of water. Sustainable use of resource water requires such understanding of ecohydrological water partitioning.
M. Graham Clark, Elyn R. Humphreys, and Sean K. Carey
Biogeosciences, 17, 667–682, https://doi.org/10.5194/bg-17-667-2020, https://doi.org/10.5194/bg-17-667-2020, 2020
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Natural and restored wetlands typically emit methane to the atmosphere. However, we found that a wetland constructed after oil sand mining in boreal Canada using organic soils from local peatlands had negligible emissions of methane in its first 3 years. Methane production was likely suppressed due to an abundance of alternate inorganic electron acceptors. Methane emissions may increase in the future if the alternate electron acceptors continue to decrease.
Nadine J. Shatilla and Sean K. Carey
Hydrol. Earth Syst. Sci., 23, 3571–3591, https://doi.org/10.5194/hess-23-3571-2019, https://doi.org/10.5194/hess-23-3571-2019, 2019
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High-latitude permafrost environments are changing rapidly due impacts and feedbacks associated with climate warming. We used streamflow and DOC concentrations as well as export estimates and optical indices to better understand how different surface water bodies transport and process dissolved material over multiple seasons and years. Information on DOM quality provides insight into organic material sources and possible composition changes related to higher summer rainfall in summer/fall.
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.
Hongkai Gao, Christian Birkel, Markus Hrachowitz, Doerthe Tetzlaff, Chris Soulsby, and Hubert H. G. Savenije
Hydrol. Earth Syst. Sci., 23, 787–809, https://doi.org/10.5194/hess-23-787-2019, https://doi.org/10.5194/hess-23-787-2019, 2019
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Supported by large-sample ecological observations, a novel, simple and topography-driven runoff generation module (HSC-MCT) was created. The HSC-MCT is calibration-free, and therefore it can be used to predict in ungauged basins, and has great potential to be generalized at the global scale. Also, it allows us to reproduce the variation of saturation areas, which has great potential to be used for broader hydrological, ecological, climatological, and biogeochemical studies.
Kabir Rasouli, John W. Pomeroy, J. Richard Janowicz, Tyler J. Williams, and Sean K. Carey
Earth Syst. Sci. Data, 11, 89–100, https://doi.org/10.5194/essd-11-89-2019, https://doi.org/10.5194/essd-11-89-2019, 2019
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A set of hydrometeorological data including daily precipitation, hourly air temperature, humidity, wind, solar and net radiation, soil temperature, soil moisture, snow depth and snow water equivalent, streamflow and water level in a groundwater well, and geographical information system data are presented in this paper. This dataset was recorded at different elevation bands in Wolf Creek Research Basin, near Whitehorse, Yukon Territory, Canada.
Zhicai Zhang, Xi Chen, Qinbo Cheng, and Chris Soulsby
Hydrol. Earth Syst. Sci., 23, 51–71, https://doi.org/10.5194/hess-23-51-2019, https://doi.org/10.5194/hess-23-51-2019, 2019
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We developed a new tracer-aided hydrological model for karst catchments. This model captured the flow and tracer dynamics within each landscape unit quite well, and we could estimate the storage, fluxes and age of water within each. Such tracer-aided models enhance our understanding of the hydrological connectivity between different landscape units and the mixing processes between various flow sources. It is an encouraging step forward in tracer-aided modelling of karst catchments.
Sylvain Kuppel, Doerthe Tetzlaff, Marco P. Maneta, and Chris Soulsby
Geosci. Model Dev., 11, 3045–3069, https://doi.org/10.5194/gmd-11-3045-2018, https://doi.org/10.5194/gmd-11-3045-2018, 2018
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This paper presents a novel ecohydrological model in which both the fluxes of water and the relative concentration in stable isotopes (2H and 18O) can be simulated. Spatial heterogeneity, lateral transfers and plant-driven water use are incorporated. A thorough evaluation shows encouraging results using a wide range of in situ measurements from a Scottish catchment. The same modelling principles are then used to simulate how (and where) precipitation ages as water transits in the catchment.
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.
Aaron A. Smith, Doerthe Tetzlaff, and Chris Soulsby
Hydrol. Earth Syst. Sci. Discuss., https://doi.org/10.5194/hess-2018-57, https://doi.org/10.5194/hess-2018-57, 2018
Preprint withdrawn
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.
Matthias Sprenger, Doerthe Tetzlaff, and Chris Soulsby
Hydrol. Earth Syst. Sci., 21, 3839–3858, https://doi.org/10.5194/hess-21-3839-2017, https://doi.org/10.5194/hess-21-3839-2017, 2017
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We sampled the isotopic composition in the top 20 cm at four different sites in the Scottish Highlands at 5 cm intervals over 1 year. The relationship between the soil water isotopic fractionation and evapotranspiration showed a hysteresis pattern due to a lag response to onset and offset of the evaporative losses. The isotope data revealed that vegetation had a significant influence on the soil evaporation with evaporation being double from soils beneath Scots pine compared to heather.
J. R. Poulsen, E. Sebok, C. Duque, D. Tetzlaff, and P. K. Engesgaard
Hydrol. Earth Syst. Sci., 19, 1871–1886, https://doi.org/10.5194/hess-19-1871-2015, https://doi.org/10.5194/hess-19-1871-2015, 2015
M. Hrachowitz, H. Savenije, T. A. Bogaard, D. Tetzlaff, and C. Soulsby
Hydrol. Earth Syst. Sci., 17, 533–564, https://doi.org/10.5194/hess-17-533-2013, https://doi.org/10.5194/hess-17-533-2013, 2013
Related subject area
Subject: Catchment hydrology | Techniques and Approaches: Modelling approaches
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Pablo Fernando Dornes and Rocío Noelia Comas
Hydrol. Earth Syst. Sci., 29, 2901–2923, https://doi.org/10.5194/hess-29-2901-2025, https://doi.org/10.5194/hess-29-2901-2025, 2025
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The Desaguadero–Salado–Chadiluevú–Curacó (DSCC) River is a semiarid river which is heavily dammed at 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.
Jean-Luc Martel, François Brissette, Richard Arsenault, Richard Turcotte, Mariana Castañeda-Gonzalez, William Armstrong, Edouard Mailhot, Jasmine Pelletier-Dumont, Gabriel Rondeau-Genesse, and Louis-Philippe Caron
Hydrol. Earth Syst. Sci., 29, 2811–2836, https://doi.org/10.5194/hess-29-2811-2025, https://doi.org/10.5194/hess-29-2811-2025, 2025
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This study compares long short-term memory (LSTM) neural networks with traditional hydrological models to predict future streamflow under climate change. Using data from 148 catchments, it finds that LSTM models, which learn from extensive data sequences, perform differently and often better than traditional hydrological models. The continental LSTM model, which includes data from diverse climate zones, is particularly effective for understanding climate impacts on water resources.
Mahmut Tudaji, Yi Nan, and Fuqiang Tian
Hydrol. Earth Syst. Sci., 29, 2633–2654, https://doi.org/10.5194/hess-29-2633-2025, https://doi.org/10.5194/hess-29-2633-2025, 2025
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We assessed the value of high-resolution data and parameter transferability across temporal scales based on seven catchments in northern China. We found that higher-resolution data do 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 a smaller computational time step when building hydrological models even without high-resolution data.
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.
Alonso Pizarro, Demetris Koutsoyiannis, and Alberto Montanari
Hydrol. Earth Syst. Sci. Discuss., https://doi.org/10.5194/hess-2024-389, https://doi.org/10.5194/hess-2024-389, 2025
Revised manuscript accepted for HESS
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We introduce RUMI, a new metric to improve rainfall-runoff simulations. RUMI better captures the link between observed and simulated stream flows by considering uncertainty at a core computation step. Tested on 99 catchments and with the GR4J model, it outperforms traditional metrics by providing more reliable and consistent results. RUMI paves the way for more accurate hydrological predictions.
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.
Parthkumar A. Modi, Jared C. Carbone, Keith S. Jennings, Hannah Kamen, Joseph R. Kasprzyk, Bill Szafranski, Cameron W. Wobus, and Ben Livneh
EGUsphere, https://doi.org/10.5194/egusphere-2024-4046, https://doi.org/10.5194/egusphere-2024-4046, 2025
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This study shows that in unmanaged snow-dominated basins, high forecast accuracy doesn’t always lead to high economic value, especially during extreme conditions like droughts. It highlights how irregular errors in modern forecasting systems weaken the connection between accuracy and value. These findings call for forecast evaluations to focus not only on accuracy but also on economic impacts, providing valuable guidance for better water resource management under uncertainty.
Benjamin Guillaume, Adrien Michez, and Aurore Degré
EGUsphere, https://doi.org/10.5194/egusphere-2024-3978, https://doi.org/10.5194/egusphere-2024-3978, 2025
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Nature-based solutions (NbS) can mitigate floods and agricultural droughts by enhancing soil health and restoring hydrological cycles. This study highlights that leveraging soil diversity is key to optimizing NbS performance.
Haley A. Canham, Belize Lane, Colin B. Phillips, and Brendan P. Murphy
Hydrol. Earth Syst. Sci., 29, 27–43, https://doi.org/10.5194/hess-29-27-2025, https://doi.org/10.5194/hess-29-27-2025, 2025
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The influence of watershed disturbances has proved challenging to disentangle from natural streamflow variability. This study evaluates the influence of time-varying hydrologic controls on rainfall–runoff in undisturbed and wildfire-disturbed watersheds using a novel time-series event separation method. Across watersheds, water year type and season influenced rainfall–runoff patterns. Accounting for these controls enabled clearer isolation of wildfire effects.
Fabian Merk, Timo Schaffhauser, Faizan Anwar, Ye Tuo, Jean-Martial Cohard, and Markus Disse
Hydrol. Earth Syst. Sci., 28, 5511–5539, https://doi.org/10.5194/hess-28-5511-2024, https://doi.org/10.5194/hess-28-5511-2024, 2024
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Evapotranspiration (ET) is computed from the vegetation (plant transpiration) and soil (soil evaporation). In western Africa, plant transpiration correlates with vegetation growth. Vegetation is often represented using the leaf area index (LAI). In this study, we evaluate the importance of the LAI for ET calculation. We take a close look at this interaction and highlight its relevance. Our work contributes to the understanding of terrestrial water cycle processes .
Eshrat Fatima, Rohini Kumar, Sabine Attinger, Maren Kaluza, Oldrich Rakovec, Corinna Rebmann, Rafael Rosolem, Sascha E. Oswald, Luis Samaniego, Steffen Zacharias, and Martin Schrön
Hydrol. Earth Syst. Sci., 28, 5419–5441, https://doi.org/10.5194/hess-28-5419-2024, https://doi.org/10.5194/hess-28-5419-2024, 2024
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This study establishes a framework to incorporate cosmic-ray neutron measurements into the mesoscale Hydrological Model (mHM). We evaluate different approaches to estimate neutron counts within the mHM using the Desilets equation, with uniformly and non-uniformly weighted average soil moisture, and the physically based code COSMIC. The data improved not only soil moisture simulations but also the parameterisation of evapotranspiration in the model.
Laia Estrada, Xavier Garcia, Joan Saló-Grau, Rafael Marcé, Antoni Munné, and Vicenç Acuña
Hydrol. Earth Syst. Sci., 28, 5353–5373, https://doi.org/10.5194/hess-28-5353-2024, https://doi.org/10.5194/hess-28-5353-2024, 2024
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Hydrological modelling is a powerful tool to support decision-making. We assessed spatio-temporal patterns and trends of streamflow for 2001–2022 with a hydrological model, integrating stakeholder expert knowledge on management operations. The results provide insight into how climate change and anthropogenic pressures affect water resources availability in regions vulnerable to water scarcity, thus raising the need for sustainable management practices and integrated hydrological modelling.
Patricio Yeste, Matilde García-Valdecasas Ojeda, Sonia R. Gámiz-Fortis, Yolanda Castro-Díez, Axel Bronstert, and María Jesús Esteban-Parra
Hydrol. Earth Syst. Sci., 28, 5331–5352, https://doi.org/10.5194/hess-28-5331-2024, https://doi.org/10.5194/hess-28-5331-2024, 2024
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Integrating streamflow and evaporation data can help improve the physical realism of hydrologic models. We investigate the capabilities of the Variable Infiltration Capacity (VIC) to reproduce both hydrologic variables for 189 headwater located in Spain. Results from sensitivity analyses indicate that adding two vegetation parameters is enough to improve the representation of evaporation and that the performance of VIC exceeded that of the largest modelling effort currently available in Spain.
Daniel T. Myers, David Jones, Diana Oviedo-Vargas, John Paul Schmit, Darren L. Ficklin, and Xuesong Zhang
Hydrol. Earth Syst. Sci., 28, 5295–5310, https://doi.org/10.5194/hess-28-5295-2024, https://doi.org/10.5194/hess-28-5295-2024, 2024
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We studied how streamflow and water quality models respond to land cover data collected by satellites during the growing season versus the non-growing season. The land cover data showed more trees during the growing season and more built areas during the non-growing season. We next found that the use of non-growing season data resulted in a higher modeled nutrient export to streams. Knowledge of these sensitivities would be particularly important when models inform water resource management.
Hatice Türk, Christine Stumpp, Markus Hrachowitz, Karsten Schulz, Peter Strauss, Günter Blöschl, and Michael Stockinger
Hydrol. Earth Syst. Sci. Discuss., https://doi.org/10.5194/hess-2024-359, https://doi.org/10.5194/hess-2024-359, 2024
Revised manuscript accepted for HESS
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Using advances in transit time estimation and tracer data, we tested if fast-flow transit times are controlled solely by soil moisture or are also controlled by precipitation intensity. We used soil moisture-dependent and precipitation intensity-conditional transfer functions. We showed that significant portion of event water bypasses the soil matrix through fast flow paths (overland flow, tile drains, preferential flow paths) in dry soil conditions for both low and high-intensity precipitation.
Kevin R. Shook, Paul H. Whitfield, Christopher Spence, and John W. Pomeroy
Hydrol. Earth Syst. Sci., 28, 5173–5192, https://doi.org/10.5194/hess-28-5173-2024, https://doi.org/10.5194/hess-28-5173-2024, 2024
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Recent studies suggest that the velocities of water running off landscapes in the Canadian Prairies may be much smaller than generally assumed. Analyses of historical flows for 23 basins in central Alberta show that many of the rivers responded more slowly and that the flows are much slower than would be estimated from equations developed elsewhere. The effects of slow flow velocities on the development of hydrological models of the region are discussed, as are the possible causes.
Alberto Bassi, Marvin Höge, Antonietta Mira, Fabrizio Fenicia, and Carlo Albert
Hydrol. Earth Syst. Sci., 28, 4971–4988, https://doi.org/10.5194/hess-28-4971-2024, https://doi.org/10.5194/hess-28-4971-2024, 2024
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The goal is to remove the impact of meteorological drivers in order to uncover the unique landscape fingerprints of a catchment from streamflow data. Our results reveal an optimal two-feature summary for most catchments, with a third feature associated with aridity and intermittent flow that is needed for challenging cases. Baseflow index, aridity, and soil or vegetation attributes strongly correlate with learnt features, indicating their importance for streamflow prediction.
Sylvain Payraudeau, Pablo Alvarez-Zaldivar, Paul van Dijk, and Gwenaël Imfeld
EGUsphere, https://doi.org/10.5194/egusphere-2024-2840, https://doi.org/10.5194/egusphere-2024-2840, 2024
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Our study focuses on the rising concern of pesticides damaging aquatic ecosystems, which puts drinking water, the environment, and human health at risk. We provided more accurate estimates of how pesticides break down and spread in small water systems, helping to improve pesticide management practices. By using unique chemical markers in our analysis, we enhanced the accuracy of our predictions, offering important insights for better protection of water sources and natural ecosystems.
Guillaume Thirel, Léonard Santos, Olivier Delaigue, and Charles Perrin
Hydrol. Earth Syst. Sci., 28, 4837–4860, https://doi.org/10.5194/hess-28-4837-2024, https://doi.org/10.5194/hess-28-4837-2024, 2024
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We discuss how mathematical transformations impact calibrated hydrological model simulations. We assess how 11 transformations behave over the complete range of streamflows. Extreme transformations lead to models that are specialized for extreme streamflows but show poor performance outside the range of targeted streamflows and are less robust. We show that no a priori assumption about transformations can be taken as warranted.
Vishal Thakur, Yannis Markonis, Rohini Kumar, Johanna Ruth Thomson, Mijael Rodrigo Vargas Godoy, Martin Hanel, and Oldrich Rakovec
Hydrol. Earth Syst. Sci. Discuss., https://doi.org/10.5194/hess-2024-341, https://doi.org/10.5194/hess-2024-341, 2024
Revised manuscript accepted for HESS
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Understanding the changes in water movement in earth is crucial for everyone. To quantify this water movement there are several techniques. We examined how different methods of estimating evaporation impact predictions of various types of water movement across Europe. We found that, while these methods generally agree on whether changes are increasing or decreasing, they differ in magnitude. This means selecting the right evaporation method is crucial for accurate predictions of water movement.
Robert Hull, Elena Leonarduzzi, Luis De La Fuente, Hoang Viet Tran, Andrew Bennett, Peter Melchior, Reed M. Maxwell, and Laura E. Condon
Hydrol. Earth Syst. Sci., 28, 4685–4713, https://doi.org/10.5194/hess-28-4685-2024, https://doi.org/10.5194/hess-28-4685-2024, 2024
Short summary
Short summary
Large-scale hydrologic simulators are a needed tool to explore complex watershed processes and how they may evolve with a changing climate. However, calibrating them can be difficult because they are costly to run and have many unknown parameters. We implement a state-of-the-art approach to model calibration using neural networks with a set of experiments based on streamflow in the upper Colorado River basin.
Nan Wu, Ke Zhang, Amir Naghibi, Hossein Hashemi, Zhongrui Ning, Qinuo Zhang, Xuejun Yi, Haijun Wang, Wei Liu, Wei Gao, and Jerker Jarsjö
Hydrol. Earth Syst. Sci. Discuss., https://doi.org/10.5194/hess-2024-324, https://doi.org/10.5194/hess-2024-324, 2024
Revised manuscript accepted for HESS
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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
Short summary
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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
Short summary
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This study explores the impact of climatic variability on root zone water storage capacities and, thus, on hydrological predictions. Analysing data from 286 areas in Europe and the US, we found that, despite some variations in root zone storage capacity due to changing climatic conditions over multiple decades, these changes are generally minor and have a limited effect on water storage and river flow predictions.
Bu Li, Ting Sun, Fuqiang Tian, Mahmut Tudaji, Li Qin, and Guangheng Ni
Hydrol. Earth Syst. Sci., 28, 4521–4538, https://doi.org/10.5194/hess-28-4521-2024, https://doi.org/10.5194/hess-28-4521-2024, 2024
Short summary
Short summary
This paper developed hybrid semi-distributed hydrological models by employing a process-based model as the backbone and utilizing deep learning to parameterize and replace internal modules. The main contribution is to provide a high-performance tool enriched with explicit hydrological knowledge for hydrological prediction and to improve understanding about the hydrological sensitivities to climate change in large alpine basins.
Francesco Zignol, William Lidberg, Caroline Greiser, Johannes Larson, Raúl Hoffrén, and Anneli M. Ågren
EGUsphere, https://doi.org/10.5194/egusphere-2024-2909, https://doi.org/10.5194/egusphere-2024-2909, 2024
Short summary
Short summary
We investigated the factors influencing soil moisture variations across a boreal forest catchment in northern Sweden, where data is usually scarce. We found that soil moisture is shaped by topographical features, vegetation and soil characteristics, and weather conditions. The insights presented in this study will help improve models that predict soil moisture over space and time, which is crucial for forest management and nature conservation in the face of climate change and biodiversity loss.
Hossein Abbasizadeh, Petr Maca, Martin Hanel, Mads Troldborg, and Amir AghaKouchak
Hydrol. Earth Syst. Sci. Discuss., https://doi.org/10.5194/hess-2024-297, https://doi.org/10.5194/hess-2024-297, 2024
Revised manuscript accepted for HESS
Short summary
Short summary
Here, we represented catchments as networks of variables connected by cause-and-effect relationships. By comparing the performance of statistical and machine learning methods with and without incorporating causal information to predict runoff properties, we showed that causal information can enhance models' robustness by reducing accuracy drop between training and testing phases, improving the model's interpretability, and mitigating overfitting issues, especially with small training samples.
Cited articles
Adam, J. C., Hamlet, A. F., and Lettenmaier, D. P.: Implications of global
climate change for snowmelt hydrology in the twenty-first century,
Hydrol. Process., 23, 962–972, https://doi.org/10.1002/hyp.7201, 2009. a
Ala-aho, P., Tetzlaff, D., McNamara, J. P., Laudon, H., Kormos, P., and
Soulsby, C.: Modeling the isotopic evolution of snowpack and snowmelt:
Testing a spatially distributed parsimonious approach, Water Resour. Res., 53, 5813–5830, https://doi.org/10.1002/2017WR020650, 2017a. a, b, c, d
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, 2017b. a, b, c, d, e
Ala-aho, P., Soulsby, C., Pokrovsky, O. S., Kirpotin, S. N., Karlsson, J.,
Serikova, S., Manasypov, R., Lim, A., Krickov, I., Kolesnichenko, L. G.,
Laudon, H., and Tetzlaff, D.: Permafrost and lakes control river isotope
composition across a boreal Arctic transect in the Western Siberian
lowlands, Environ. Res. Lett., 13, 034028, https://doi.org/10.1088/1748-9326/aaa4fe, 2018a. a
Ala-aho, P., Soulsby, C., Pokrovsky, O. S., Kirpotin, S. N., Karlsson, J.,
Serikova, S., Vorobyev, S. N., Manasypov, R. M., Loiko, S., and Tetzlaff, D.:
Using stable isotopes to assess surface water source dynamics and
hydrological connectivity in a high-latitude wetland and permafrost
influenced landscape, J. Hydrol., 556, 279–293,
https://doi.org/10.1016/j.jhydrol.2017.11.024, 2018b. a
Bewley, D., Pomeroy, J. W., and Essery, R. L. H.: Solar Radiation Transfer
Through a Subarctic Shrub Canopy, Arct. Antarct. Alp. Res.,
39, 365–374, https://doi.org/10.1657/1523-0430(06-023)[BEWLEY]2.0.CO;2, 2007. a
Bonnaventure, P. P., Lewkowicz, A. G., Kremer, M., and Sawada, M. C.: A
Permafrost Probability Model for the Southern Yukon and Northern British
Columbia, Canada, Permafrost Periglac., 23, 52–68,
https://doi.org/10.1002/ppp.1733, 2012. a
Boucher, J. L. and Carey, S. K.: Exploring runoff processes using chemical,
isotopic and hydrometric data in a discontinuous permafrost catchment,
Hydrol. Res., 41, 508–519, https://doi.org/10.2166/nh.2010.146, 2010. a, b, c
Carey, S. K.: Dissolved organic carbon fluxes in a discontinuous permafrost
subarctic alpine catchment, Permafrost Periglac., 14,
161–171, https://doi.org/10.1002/ppp.444, 2003. a
Carey, S. K. and Quinton, W. L.: Evaluating snowmelt runoff generation in a
discontinuous permafrost catchment using stable isotope, hydrochemical and
hydrometric data, Nord. Hydrol., 35, 309–324, https://doi.org/10.1002/hyp.5764,
2004. a, b, c, d
Carey, S. K. and Woo, M. K.: Hydrology of two slopes in subarctic Yukon,
Canada, Hydrol. Process., 13, 2549–2562,
https://doi.org/10.1002/(SICI)1099-1085(199911)13:16<2549::AID-HYP938>3.0.CO;2-H, 1999. a, b
Carey, S. K. and Woo, M. K.: Slope runoff processes and flow generation in a
subarctic, subalpine catchment, J. Hydrol., 253, 110–129,
https://doi.org/10.1016/S0022-1694(01)00478-4, 2001a. a, b
Carey, S. K. and Woo, M. K.: Spatial variability of hillslope water balance,
Wolf Creek Basin, subarctic Yukon, Hydrol. Process., 15, 3113–3132,
https://doi.org/10.1002/hyp.319, 2001b. a, b, c
Carey, S. K., Tetzlaff, D., Seibert, J., Soulsby, C., Buttle, J., Laudon, H.,
McDonnell, J., McGuire, K., Caissie, D., Shanley, J., Kennedy, M., Devito,
K., and Pomeroy, J. W.: Inter-comparison of hydro-climatic regimes across
northern catchments: Synchronicity, resistance and resilience, Hydrol. Process., 24, 3591–3602, https://doi.org/10.1002/hyp.7880, 2010. a
Carey, S. K., Boucher, J. L., and Duarte, C. M.: Inferring groundwater
contributions and pathways to streamflow during snowmelt over multiple years
in a discontinuous permafrost subarctic environment (Yukon, Canada),
Hydrogeol. J., 21, 67–77, https://doi.org/10.1007/s10040-012-0920-9, 2013a. a, b, c, d, e, f, g, h, i, j
Carey, S. K., Tetzlaff, D., Buttle, J., Laudon, H., McDonnell, J., McGuire,
K.,
Seibert, J., Soulsby, C., and Shanley, J.: Use of color maps and wavelet
coherence to discern seasonal and interannual climate influences on
streamflow variability in northern catchments, Water Resour. Res., 49,
6194–6207, https://doi.org/10.1002/wrcr.20469, 2013b. a, b
Connon, R., Devoie, É., Hayashi, M., Veness, T., and Quinton, W.: The
Influence of Shallow Taliks on Permafrost Thaw and Active Layer Dynamics in
Subarctic Canada, J. Geophys. Res.-Earth, 123,
281–297, https://doi.org/10.1002/2017JF004469, 2018. a, b
Cooper, L. W., Olsen, C. R., Solomon, D. K., Larsen, I. L., Cook, R. B., and
Grebmeier, J. M.: Stable Isotopes of Oxygen and Natural and Fallout
Radionuclides Used for Tracing Runoff During Snowmelt in an Arctic
Watershed, Water Resour. Res., 27, 2171–2179,
https://doi.org/10.1029/91WR01243, 1991. a
Cooper, L. W., Solis, C., Kane, D. L., and Hinzmant, L. D.: Application of
Oxygen-18 Tracer Techniques to Arctic Hydrological Processes, Arctic Alpine Res., 25, 247–255, 1993. a
DeBeer, C. M., Wheater, H. S., Carey, S. K., and Chun, K. P.: Recent
climatic, cryospheric, and hydrological changes over the interior of western
Canada: a review and synthesis, Hydrol. Earth Syst. Sci., 20, 1573–1598,
https://doi.org/10.5194/hess-20-1573-2016, 2016. a, b
Dingman, S. L.: Hydrology of Glenn Creek Watershed, Tanana Basin, Central
Alaska, Tech. rep., US Army Cold Region Research Engineering Laboratory
Research Report 297, Hanover, NH, 1971. a
Dornes, P. F., Pomeroy, J. W., Pietroniro, A., Carey, S. K., and Quinton,
W. L.: Influence of landscape aggregation in modelling snow-cover ablation
and snowmelt runoff in a sub-arctic mountainous environment, Hydrolog. Sci. J., 53, 725–740, https://doi.org/10.1623/hysj.53.4.725, 2008. a, b
Endalamaw, A., Bolton, W. R., Young-Robertson, J. M., Morton, D., Hinzman,
L., and Nijssen, B.: Towards improved parameterization of a macroscale
hydrologic model in a discontinuous permafrost boreal forest ecosystem,
Hydrol. Earth Syst. Sci., 21, 4663–4680,
https://doi.org/10.5194/hess-21-4663-2017, 2017. a
Frey, K. E. and McClelland, J. W.: Impacts of permafrost degradation on
arctic
river biogeochemistry, Hydrol. Process., 23, 169–182,
https://doi.org/10.1002/hyp.7196, 2009. a
Gibson, J. J., Edwards, T. W. D., and Prowse, T. D.: Runoff Generation in a
High Boreal Wetland in Northern Canada, Nord. Hydrol., 24, 213–224,
1993. a
Goody, R. M. and Yung, Y. L.: Atmospheric radiation: theoretical basis,
Oxford University Press, New York, 1995. a
Gray, D. M., Toth, B., Zhao, L., Pomeroy, J. W., and Granger, R. J.:
Estimating areal snowmelt infiltration into frozen soils, Hydrol. Process., 15, 3095–3111, https://doi.org/10.1002/hyp.320, 2001. a
Gröning, M., Lutz, H. O., Roller-Lutz, Z., Kralik, M., Gourcy, L., and
Pöltenstein, L.: A simple rain collector preventing water
re-evaporation dedicated for δ18O and δ2H analysis of
cumulative precipitation samples, J. Hydrol., 448-449, 195–200,
https://doi.org/10.1016/j.jhydrol.2012.04.041, 2012. a
Gupta, H. V., Kling, H., Yilmaz, K. K., and Martinez, G. F.: Decomposition
of
the mean squared error and NSE performance criteria: Implications for
improving hydrological modelling, J. Hydrol., 377, 80–91,
https://doi.org/10.1016/j.jhydrol.2009.08.003, 2009. a, b
Hayashi, M., Quinton, W. L., Pietroniro, A., and Gibson, J. J.: Hydrologic
functions of wetlands in a discontinuous permafrost basin indicated by
isotopic and chemical signatures, J. Hydrol., 296, 81–97,
https://doi.org/10.1016/j.jhydrol.2004.03.020, 2004. a, b, c
He, Z. H., Tian, F. Q., Gupta, H. V., Hu, H. C., and Hu, H. P.: Diagnostic
calibration of a hydrological model in a mountain area by hydrograph
partitioning, Hydrol. Earth Syst. Sci., 19, 1807–1826,
https://doi.org/10.5194/hess-19-1807-2015, 2015. a
Holdsworth, G., Fogarasi, S., and Krouse, H. R.: Variation of the stable
isotopes of water with altitude in the Saint Elias Mountains of Canada,
J. Geophys. Res., 96, 7483–7494, https://doi.org/10.1029/91JD00048,
1991. a
Janowicz, J. R., Hedstrom, N., Pomeroy, J., Granger, R., and Carey, S.: Wolf
Creek Research Basin water balance studies, Northern Research Basins Water
Balance, Proceedings of a workshop held at Victoria, Canada, March 2004,
209, 195–203, 2004. a
Kuppel, S., Tetzlaff, D., Maneta, M. P., and Soulsby, C.: What can we learn
from multi-data calibration of a process-based ecohydrological model?,
Environ. Modell. Softw., 101, 301–316,
https://doi.org/10.1016/j.envsoft.2018.01.001, 2018. a
Laudon, H., Hemond, H. F., Krouse, R., and Bishop, K. H.: Oxygen 18
fractionation during snowmelt: Implications for spring flood hydrograph
separation, Water Resour. Res., 38, 40-1–40-10,
https://doi.org/10.1029/2002WR001510, 2002. a
Laudon, H., Tetzlaff, D., Soulsby, C., Carey, S., Seibert, J., Buttle, J.,
Shanley, J., McDonnell, J. J., and McGuire, K.: Change in winter climate
will affect dissolved organic carbon and water fluxes in mid-to-high latitude
catchments, Hydrol. Process., 27, 700–709, https://doi.org/10.1002/hyp.9686,
2013. a
Laudon, H., Spence, C., Buttle, J., Carey, S. K., McDonnell, J. J., McNamara,
J. P., Soulsby, C., and Tetzlaff, D.: Save northern high-latitude
catchments, Nat. Geosci., 10, 324–325, https://doi.org/10.1038/ngeo2947, 2017. a
Lessels, J. S., Tetzlaff, D., Carey, S. K., Smith, P., and Soulsby, C.: A
coupled hydrology-biogeochemistry model to simulate dissolved organic carbon
exports from a permafrost-influenced catchment, Hydrol. Process., 29,
5383–5396, https://doi.org/10.1002/hyp.10566, 2015. a, b, c, d
Lewkowicz, A. G. and Ednie, M.: Probability mapping of mountain permafrost
using the BTS method, Wolf Creek, Yukon Territory, Canada, Permafrost Periglac., 15, 67–80, https://doi.org/10.1002/ppp.480, 2004. a
Lindström, G., Johansson, B., Persson, M., Gardelin, M., and
Bergström, S.: Development and test of the distributed HBV-96
hydrological model, J. Hydrol., 201, 272–288,
https://doi.org/10.1016/S0022-1694(97)00041-3, 1997. a
Liston, G. E. and Sturm, M.: Winter Precipitation Patterns in Arctic Alaska
Determined from a Blowing-Snow Model and Snow-Depth Observations, J. Hydrometeorol., 3, 646–659,
https://doi.org/10.1175/1525-7541(2002)003<0646:WPPIAA>2.0.CO;2, 2002. a
MacDonald, M. K., Pomeroy, J. W., and Pietroniro, A.: Parameterizing
redistribution and sublimation of blowing snow for hydrological models: tests
in a mountainous subarctic catchment, Hydrol. Process., 23,
2570–2583, https://doi.org/10.1002/hyp.7356, 2009. a
Marsh, P., Bartlett, P., MacKay, M., Pohl, S., and Lantz, T.: Snowmelt
energetics at a shrub tundra site in the western Canadian Arctic,
Hydrol. Process., 24, 3603–3620, https://doi.org/10.1002/hyp.7786, 2010. a
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. a
McNamara, J. P., Kane, D. L., and Hinzman, L. D.: Hydrograph separations in
an
Arctic watershed using mixing model and graphical techniques, Water
Resour. Res., 33, 1707–1719, https://doi.org/10.1029/97WR01033, 1997. a, b, c
Ménard, C. B., Essery, R., and Pomeroy, J.: Modelled sensitivity of the
snow regime to topography, shrub fraction and shrub height, Hydrol. Earth
Syst. Sci., 18, 2375–2392, https://doi.org/10.5194/hess-18-2375-2014, 2014. a
Metcalfe, R. A. and Buttle, J. M.: Soil partitioning and surface store
controls on spring runoff from a boreal forest peatland basin in
North-Central Manitoba, Canada, Hydrol. Process., 15, 2305–2324,
https://doi.org/10.1002/hyp.262, 2001. a, b, c
Nash, J. E. and Sutcliffe, J. V.: River Flow Forecasting Through Conceptual
Models Part I – A Discussion of Principles, J. Hydrol., 10,
282–290, https://doi.org/10.1016/0022-1694(70)90255-6, 1970. a
Obradovic, M. and Sklash, M.: An isotopic and geochemical study of snowmelt
runoff in a small arctic watershed, Hydrol. Process., 1, 15–30,
https://doi.org/10.1002/hyp.3360010104, 1986. a
Pan, X., Yang, D., Li, Y., Barr, A., Helgason, W., Hayashi, M., Marsh, P.,
Pomeroy, J., and Janowicz, R. J.: Bias corrections of precipitation
measurements across experimental sites in different ecoclimatic regions of
western Canada, The Cryosphere, 10, 2347–2360,
https://doi.org/10.5194/tc-10-2347-2016, 2016. a
Piovano, T. I., Tetzlaff, D., Ala-aho, P., Buttle, J., Mitchell, C. P., and
Soulsby, C.: Testing a spatially distributed tracer-aided runoff model in a
snow-influenced catchment: Effects of multicriteria calibration on
streamwater ages, Hydrol. Process., 32, 3089–3107,
https://doi.org/10.1002/hyp.13238, 2018. a, b, c, d, e
Pomeroy, J. W., Bewley, D. S., Essery, R. L. H., Hedstrom, N. R., Link, T.,
Granger, R. J., Sicart, J. E., Ellis, C. R., and Janowicz, J. R.: Shrub
tundra snowmelt, Hydrol. Process., 20, 923–941,
https://doi.org/10.1002/hyp.6124, 2006. a
Pomeroy, J. W., Gray, D. M., and Marsh, P.: Studies on Snow Redistribution
by
Wind and Forest, Snow-covered Area Depletion, and Frozen Soil Infiltration in
Northern and Western Canada, 81–96, Springer Berlin Heidelberg, Berlin,
Heidelberg, https://doi.org/10.1007/978-3-540-75136-6_5, 2008. a
Quinton, W. L. and Baltzer, J. L.: The active-layer hydrology of a peat
plateau with thawing permafrost (Scotty Creek, Canada), Hydrogeol. J., 21, 201–220, https://doi.org/10.1007/s10040-012-0935-2, 2013. a, b
Quinton, W. L. and Carey, S. K.: Towards an energy-based runoff generation
theory for tundra landscapes, Hydrol. Process., 22, 4649–4653,
https://doi.org/10.1002/hyp.7164, 2008. a, b, c
Quinton, W. L. and Marsh, P.: A Conceptual Framework for Runoff Generation
in
a Permafrost Environment, Hydrol. Process., 13, 2563–2581,
https://doi.org/10.1002/(SICI)1099-1085(199911)13:16<2563::AID-HYP942>3.0.CO;2-D, 1999. a, b
Quinton, W. L., Gray, D. M., and Marsh, P.: Subsurface drainage from
hummock-covered hillslopes in the Arctic tundra, J. Hydrol., 237,
113–125, https://doi.org/10.1016/S0022-1694(00)00304-8, 2000. a
Quinton, W. L., Carey, S. K., and Goeller, N. T.: Snowmelt runoff from
northern alpine tundra hillslopes: major processes and methods of simulation,
Hydrol. Earth Syst. Sci., 8, 877–890,
https://doi.org/10.5194/hess-8-877-2004, 2004. a, b
Quinton, W. L., Hayashi, M., and Chasmer, L.: Peatland Hydrology of
Discontinuous Permafrost in the Northwest Territories: Overview and
Synthesis, Can. Water Resour. J., 34, 311–328,
https://doi.org/10.4296/cwrj3404311, 2009. a
Quinton, W., Berg, A., Braverman, M., Carpino, O., Chasmer, L., Connon, R.,
Craig, J., Devoie, É., Hayashi, M., Haynes, K., Olefeldt, D., Pietroniro,
A., Rezanezhad, F., Schincariol, R., and Sonnentag, O.: A synthesis of three
decades of hydrological research at Scotty Creek, NWT, Canada, Hydrol. Earth
Syst. Sci., 23, 2015–2039, https://doi.org/10.5194/hess-23-2015-2019,
2019. a
Rasouli, K., Pomeroy, J. W., Janowicz, J. R., Williams, T. J., and Carey, S.
K.: A long-term hydrometeorological dataset (1993–2014) of a northern
mountain basin: Wolf Creek Research Basin, Yukon Territory, Canada, Earth
Syst. Sci. Data, 11, 89–100, https://doi.org/10.5194/essd-11-89-2019,
2019. a, b, c
Rinaldo, A., Benettin, P., Harman, C. J., Hrachowitz, M., McGuire, K. J.,
van der Velde, Y., Bertuzzo, E., and Botter, G.: Storage selection
functions: A coherent framework for quantifying how catchments store and
release water and solutes, Water Resour. Res., 51, 4840–4847,
https://doi.org/10.1002/2015WR017273, 2015. a
Rutter, N., Essery, R., Pomeroy, J., Altimir, N., Andreadis, K., Baker, I.,
Barr, A., Bartlett, P., Boone, A., Deng, H., Douville, H., Dutra, E., Elder,
K., Ellis, C., Feng, X., Gelfan, A., Goodbody, A., Gusev, Y., Gustafsson, D.,
Hellström, R., Hirabayashi, Y., Hirota, T., Jonas, T., Koren, V.,
Kuragina, A., Lettenmaier, D., Li, W. P., Luce, C., Martin, E., Nasonova, O.,
Pumpanen, J., Pyles, R. D., Samuelsson, P., Sandells, M., Schädler, G.,
Shmakin, A., Smirnova, T. G., Stähli, M., Stöckli, R., Strasser,
U., Su, H., Suzuki, K., Takata, K., Tanaka, K., Thompson, E., Vesala, T.,
Viterbo, P., Wiltshire, A., Xia, K., Xue, Y., and Yamazaki, T.: Evaluation
of forest snow processes models (SnowMIP2), J. Geophys. Res.,
114, D06111, https://doi.org/10.1029/2008JD011063, 2009. a
Soulsby, C., Birkel, C., Geris, J., Dick, J., Tunaley, C., and Tetzlaff, D.:
Stream water age distributions controlled by storage dynamics and nonlinear
hydrologic connectivity: Modeling with high-resolution isotope data, Water
Resour. Res., 51, 7759–7776, https://doi.org/10.1002/2015WR017888, 2015. a, b
Suzuki, K., Yamazaki, Y., Kubota, J., and Vuglinsky, V.: Transport of
organic
carbon from the Mogot Experimental Watershed in the southern mountainous
taiga of eastern Siberia, Nord. Hydrol., 37, 303–312, https://doi.org/10.2166/nh.2006.015,
2006. a
Suzuki, K., Matsuo, K., Yamazaki, D., and Ichii, K.: Hydrological
Variability
and Changes in the Arctic Circumpolar Tundra and the Three Largest Pan-Arctic
River Basins from 2002 to 2016, Remote Sens., 10, 402, https://doi.org/10.3390/rs10030402, 2018. a
Tank, S. E., Striegl, R. G., McClelland, J. W., and Kokelj, S. V.:
Multi-decadal increases in dissolved organic carbon and alkalinity flux from
the Mackenzie drainage basin to the Arctic Ocean, Environ. Res. Lett., 11, 054015, https://doi.org/10.1088/1748-9326/11/5/054015, 2016. a
Tape, K., Sturm, M., and Racine, C.: The evidence for shrub expansion in
Northern Alaska and the Pan-Arctic, Glob. Change Biol., 12, 686–702,
https://doi.org/10.1111/j.1365-2486.2006.01128.x, 2006. a
Tetzlaff, D., Birkel, C., Dick, J., Geris, J., and Soulsby, C.: Storage
dynamics in hydropedological units control hillslope connectivity, runoff
generation, and the evolution of catchment transit time distributions, Water
Resour. Res., 50, 969–985, https://doi.org/10.1002/2013WR014147, 2014. a
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. a
Tetzlaff, D., Piovano, T., Ala-Aho, P., Smith, A., Carey, S. K., Marsh, P.,
Wookey, P. A., Street, L. E., and Soulsby, C.: Using stable isotopes to
estimate travel times in a data-sparse Arctic catchment: Challenges and
possible solutions, Hydrol. Process., 32, 1936–1952,
https://doi.org/10.1002/hyp.13146, 2018. a, b, c, d
Unnikrishna, P. V., McDonnell, J. J., and Kendall, C.: Isotope variations in
a
Sierra Nevada snowpack and their relation to meltwater, J. Hydrol., 260, 38–57, https://doi.org/10.1016/S0022-1694(01)00596-0, 2002. a
van Huijgevoort, M. H., Tetzlaff, D., Sutanudjaja, E. H., and Soulsby, C.:
Using high resolution tracer data to constrain water storage, flux and age
estimates in a spatially distributed rainfall-runoff model, Hydrol. Process., 30, 4761–4778, https://doi.org/10.1002/hyp.10902, 2016. a, b
Walvoord, M. A. and Kurylyk, B. L.: Hydrologic Impacts of Thawing Permafrost
–
A Review, Vadose Zone J., 15, 1–20, https://doi.org/10.2136/vzj2016.01.0010,
2016. a, b, c
Willmott, C. J. and Matsuura, K.: Advantages of the mean absolute error
(MAE)
over the root mean square error (RMSE) in assessing average model
performance, Clim. Res., 30, 79–82, https://doi.org/10.3354/cr030079, 2005. a
Woo, M. K.: Permafrost hydrology, Springer, Heidelberg,
https://doi.org/10.1007/978-3-642-23462-0, 2012. a, b, c
Wright, N., Quinton, W. L., and Hayashi, M.: Hillslope runoff from an
ice-cored peat plateau in a discontinuous permafrost basin, Northwest
Territories, Canada, Hydrol. Process., 22, 2816–2828,
https://doi.org/10.1002/hyp.7005, 2008. a
Zhang, Y., Carey, S. K., Quinton, W. L., Janowicz, J. R., Pomeroy, J. W., and
Flerchinger, G. N.: Comparison of algorithms and parameterisations for
infiltration into organic-covered permafrost soils, Hydrol. Earth Syst. Sci.,
14, 729–750, https://doi.org/10.5194/hess-14-729-2010, 2010. a
Zhang, Y., Treberg, M., and Carey, S. K.: Evaluation of the heat pulse probe
method for determining frozen soil moisture content, Water Resour. Res., 47, 1–11, https://doi.org/10.1029/2010WR010085, 2011. a, b
Short summary
We adapted the spatially distributed, tracer-aided model, STARR, to a permafrost-influenced catchment in the Yukon Territory, Canada, with a time-variable implementation of field capacity to capture thaw layer spatio-temporal dynamics. We applied a multi-criteria calibration with multi-year field data. This study demonstrates the value of the integration of isotope data in a spatially distributed model to quantify catchment water storage and age dynamics in a permafrost-influenced environment.
We adapted the spatially distributed, tracer-aided model, STARR, to a permafrost-influenced...
