Articles | Volume 27, issue 16
https://doi.org/10.5194/hess-27-3083-2023
© Author(s) 2023. 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-27-3083-2023
© Author(s) 2023. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
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
Department of Water Management, Faculty of Civil Engineering and
Geosciences, Delft University of Technology, Stevinweg 1, 2628CN Delft,
the Netherlands
Markus Hrachowitz
Department of Water Management, Faculty of Civil Engineering and
Geosciences, Delft University of Technology, Stevinweg 1, 2628CN Delft,
the Netherlands
Gerrit Schoups
Department of Water Management, Faculty of Civil Engineering and
Geosciences, Delft University of Technology, Stevinweg 1, 2628CN Delft,
the Netherlands
Christine Stumpp
Institute of Soil Physics and Rural Water Management, University of
Natural Resources and Life Sciences Vienna, Muthgasse 18, 1190 Vienna,
Austria
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Siyuan Wang, Markus Hrachowitz, and Gerrit Schoups
Hydrol. Earth Syst. Sci., 28, 4011–4033, https://doi.org/10.5194/hess-28-4011-2024, https://doi.org/10.5194/hess-28-4011-2024, 2024
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Root zone storage capacity (Sumax) changes significantly over multiple decades, reflecting vegetation adaptation to climatic variability. However, this temporal evolution of Sumax cannot explain long-term fluctuations in the partitioning of water fluxes as expressed by deviations ΔIE from the parametric Budyko curve over time with different climatic conditions, and it does not have any significant effects on shorter-term hydrological response characteristics of the upper Neckar catchment.
Hatice Türk, Christine Stumpp, Markus Hrachowitz, Karsten Schulz, Peter Strauss, Günter Blöschl, and Michael Stockinger
Hydrol. Earth Syst. Sci., 29, 3935–3956, https://doi.org/10.5194/hess-29-3935-2025, https://doi.org/10.5194/hess-29-3935-2025, 2025
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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 if they are also controlled by precipitation intensity. We used soil-moisture-dependent and precipitation-intensity-conditional transfer functions. We showed that a 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.
Aixala Gaillard, Robert van Geldern, Johannes Arthur Christopher Barth, and Christine Stumpp
Hydrol. Earth Syst. Sci., 29, 3853–3863, https://doi.org/10.5194/hess-29-3853-2025, https://doi.org/10.5194/hess-29-3853-2025, 2025
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We produced a new interpolated map of stable isotopes in groundwater in southern Germany and compared it to local precipitation. Interestingly, discrepancies were found between two components of the hydrological cycle, highlighting different recharge patterns and evaporation processes in the northern and southern part of the study area. This research provides insights into understanding different groundwater recharge patterns on a large scale and eventually for groundwater management.
Magali Ponds, Sarah Hanus, Harry Zekollari, Marie-Claire ten Veldhuis, Gerrit Schoups, Roland Kaitna, and Markus Hrachowitz
Hydrol. Earth Syst. Sci., 29, 3545–3568, https://doi.org/10.5194/hess-29-3545-2025, https://doi.org/10.5194/hess-29-3545-2025, 2025
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This research examines how future climate changes impact root zone storage, a key hydrological model parameter. Root zone storage – the soil water accessible to plants – adapts to climate but is often kept constant in models. We estimated climate-adapted storage in six Austrian Alps catchments. While storage increased, streamflow projections showed minimal change, which suggests that dynamic root zone representation is less critical in humid regions but warrants further study in arid areas.
Roya Mourad, Gerrit Schoups, Vinnarasi Rajendran, and Wim Bastiaanssen
EGUsphere, https://doi.org/10.5194/egusphere-2025-3047, https://doi.org/10.5194/egusphere-2025-3047, 2025
This preprint is open for discussion and under review for Hydrology and Earth System Sciences (HESS).
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Water balance data are affected by various errors (bias and noise). To reduce these errors, this study presents a water balance data fusion approach that combines multi-scale data (from satellites and in-situ sensors) for each water balance variable and jointly calibrates them, resulting in consistent, bias-corrected and noise-filtered, water balance estimates, along with uncertainty bands. These estimates are useful for constraining process-based models and informing water management decisions.
Hatice Türk, Christine Stumpp, Markus Hrachowitz, Peter Strauss, Günter Blöschl, and Michael Stockinger
EGUsphere, https://doi.org/10.5194/egusphere-2025-2597, https://doi.org/10.5194/egusphere-2025-2597, 2025
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This study shows that stream flow isotope data (δ2H) were inadequate for distinguishing preferential groundwater flow. Large passive groundwater storage dampened δ2H variations, obscuring signals of fast groundwater flow and complicating the estimation of older water fractions in the streams. Further, weekly-resolution δ2H sampling yielded deceptively high model performance, highlighting the need for complementary and groundwater-level data to improve catchment-scale transit-time estimates.
Nathalie Rombeek, Markus Hrachowitz, and Remko Uijlenhoet
EGUsphere, https://doi.org/10.5194/egusphere-2025-1502, https://doi.org/10.5194/egusphere-2025-1502, 2025
This preprint is open for discussion and under review for Hydrology and Earth System Sciences (HESS).
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On 29 October 2024 Valencia (Spain) was struck by torrential rainfall, triggering devastating floods in this area. In this study, we quantify and describe the spatial and temporal structure of this rainfall event using personal weather stations (PWSs). These PWSs provide near real-time observations at a temporal resolution of ~5 min. This study shows the potential of PWSs for real-time rainfall monitoring and potentially flood early warning systems by complementing dedicated rain gauge networks.
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.
Wouter R. Berghuijs, Ross A. Woods, Bailey J. Anderson, Anna Luisa Hemshorn de Sánchez, and Markus Hrachowitz
Hydrol. Earth Syst. Sci., 29, 1319–1333, https://doi.org/10.5194/hess-29-1319-2025, https://doi.org/10.5194/hess-29-1319-2025, 2025
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Water balances of catchments will often strongly depend on their state in the recent past, but such memory effects may persist at annual timescales. We use global data sets to show that annual memory is typically absent in precipitation but strong in terrestrial water stores and also present in evaporation and streamflow (including low flows and floods). Our experiments show that hysteretic models provide behaviour that is consistent with these observed memory behaviours.
Thiago Victor Medeiros do Nascimento, Julia Rudlang, Sebastian Gnann, Jan Seibert, Markus Hrachowitz, and Fabrizio Fenicia
EGUsphere, https://doi.org/10.5194/egusphere-2025-739, https://doi.org/10.5194/egusphere-2025-739, 2025
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Large-sample hydrological studies often overlook the importance of detailed landscape data in explaining river flow variability. Analyzing over 4,000 European catchments, we found that geology becomes a dominant factor—especially for baseflow—when using detailed regional maps. This highlights the need for high-resolution geological data to improve river flow regionalization, particularly in non-monitored areas.
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.
Nathalie Rombeek, Markus Hrachowitz, Arjan Droste, and Remko Uijlenhoet
EGUsphere, https://doi.org/10.5194/egusphere-2024-3207, https://doi.org/10.5194/egusphere-2024-3207, 2024
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Rain gauge networks from personal weather stations (PWSs) have a network density 100 times higher than dedicated rain gauge networks in the Netherlands. However, PWSs are prone to several sources of error, as they are generally not installed and maintained according to international guidelines. This study systematically quantifies and describes the uncertainties arising from PWS rainfall estimates. In particular, the focus is on the highest rainfall accumulations.
Nienke Tempel, Laurène Bouaziz, Riccardo Taormina, Ellis van Noppen, Jasper Stam, Eric Sprokkereef, and Markus Hrachowitz
Hydrol. Earth Syst. Sci., 28, 4577–4597, https://doi.org/10.5194/hess-28-4577-2024, https://doi.org/10.5194/hess-28-4577-2024, 2024
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This study explores the impact of climatic variability on root zone water storage capacities and, thus, on hydrological predictions. Analysing data from 286 areas in Europe and the US, we found that, despite some variations in root zone storage capacity due to changing climatic conditions over multiple decades, these changes are generally minor and have a limited effect on water storage and river flow predictions.
Marco M. Lehmann, Josie Geris, Ilja van Meerveld, Daniele Penna, Youri Rothfuss, Matteo Verdone, Pertti Ala-Aho, Matyas Arvai, Alise Babre, Philippe Balandier, Fabian Bernhard, Lukrecija Butorac, Simon Damien Carrière, Natalie C. Ceperley, Zuosinan Chen, Alicia Correa, Haoyu Diao, David Dubbert, Maren Dubbert, Fabio Ercoli, Marius G. Floriancic, Teresa E. Gimeno, Damien Gounelle, Frank Hagedorn, Christophe Hissler, Frédéric Huneau, Alberto Iraheta, Tamara Jakovljević, Nerantzis Kazakis, Zoltan Kern, Karl Knaebel, Johannes Kobler, Jiří Kocum, Charlotte Koeber, Gerbrand Koren, Angelika Kübert, Dawid Kupka, Samuel Le Gall, Aleksi Lehtonen, Thomas Leydier, Philippe Malagoli, Francesca Sofia Manca di Villahermosa, Chiara Marchina, Núria Martínez-Carreras, Nicolas Martin-StPaul, Hannu Marttila, Aline Meyer Oliveira, Gaël Monvoisin, Natalie Orlowski, Kadi Palmik-Das, Aurel Persoiu, Andrei Popa, Egor Prikaziuk, Cécile Quantin, Katja T. Rinne-Garmston, Clara Rohde, Martin Sanda, Matthias Saurer, Daniel Schulz, Michael Paul Stockinger, Christine Stumpp, Jean-Stéphane Venisse, Lukas Vlcek, Stylianos Voudouris, Björn Weeser, Mark E. Wilkinson, Giulia Zuecco, and Katrin Meusburger
Earth Syst. Sci. Data Discuss., https://doi.org/10.5194/essd-2024-409, https://doi.org/10.5194/essd-2024-409, 2024
Revised manuscript under review for ESSD
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This study describes a unique large-scale isotope dataset to study water dynamics in European forests. Researchers collected data from 40 beech and spruce forest sites in spring and summer 2023, using a standardized method to ensure consistency. The results show that water sources for trees change between seasons and vary by tree species. This large dataset offers valuable information for understanding plant water use, improving ecohydrological models, and mapping water cycles across Europe.
Hongkai Gao, Markus Hrachowitz, Lan Wang-Erlandsson, Fabrizio Fenicia, Qiaojuan Xi, Jianyang Xia, Wei Shao, Ge Sun, and Hubert H. G. Savenije
Hydrol. Earth Syst. Sci., 28, 4477–4499, https://doi.org/10.5194/hess-28-4477-2024, https://doi.org/10.5194/hess-28-4477-2024, 2024
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The concept of the root zone is widely used but lacks a precise definition. Its importance in Earth system science is not well elaborated upon. Here, we clarified its definition with several similar terms to bridge the multi-disciplinary gap. We underscore the key role of the root zone in the Earth system, which links the biosphere, hydrosphere, lithosphere, atmosphere, and anthroposphere. To better represent the root zone, we advocate for a paradigm shift towards ecosystem-centred modelling.
Siyuan Wang, Markus Hrachowitz, and Gerrit Schoups
Hydrol. Earth Syst. Sci., 28, 4011–4033, https://doi.org/10.5194/hess-28-4011-2024, https://doi.org/10.5194/hess-28-4011-2024, 2024
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Root zone storage capacity (Sumax) changes significantly over multiple decades, reflecting vegetation adaptation to climatic variability. However, this temporal evolution of Sumax cannot explain long-term fluctuations in the partitioning of water fluxes as expressed by deviations ΔIE from the parametric Budyko curve over time with different climatic conditions, and it does not have any significant effects on shorter-term hydrological response characteristics of the upper Neckar catchment.
Marius G. Floriancic, Michael P. Stockinger, James W. Kirchner, and Christine Stumpp
Hydrol. Earth Syst. Sci., 28, 3675–3694, https://doi.org/10.5194/hess-28-3675-2024, https://doi.org/10.5194/hess-28-3675-2024, 2024
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The Alps are a key water resource for central Europe, providing water for drinking, agriculture, and hydropower production. To assess water availability in streams, we need to understand how much streamflow is derived from old water stored in the subsurface versus more recent precipitation. We use tracer data from 32 Alpine streams and statistical tools to assess how much recent precipitation can be found in Alpine rivers and how this amount is related to catchment properties and climate.
Fransje van Oorschot, Ruud J. van der Ent, Andrea Alessandri, and Markus Hrachowitz
Hydrol. Earth Syst. Sci., 28, 2313–2328, https://doi.org/10.5194/hess-28-2313-2024, https://doi.org/10.5194/hess-28-2313-2024, 2024
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Vegetation plays a crucial role in regulating the water cycle by transporting water from the subsurface to the atmosphere via roots; this transport depends on the extent of the root system. In this study, we quantified the effect of irrigation on roots at a global scale. Our results emphasize the importance of accounting for irrigation in estimating the vegetation root extent, which is essential to adequately represent the water cycle in hydrological and climate models.
Fransje van Oorschot, Ruud J. van der Ent, Markus Hrachowitz, Emanuele Di Carlo, Franco Catalano, Souhail Boussetta, Gianpaolo Balsamo, and Andrea Alessandri
Earth Syst. Dynam., 14, 1239–1259, https://doi.org/10.5194/esd-14-1239-2023, https://doi.org/10.5194/esd-14-1239-2023, 2023
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Vegetation largely controls land hydrology by transporting water from the subsurface to the atmosphere through roots and is highly variable in space and time. However, current land surface models have limitations in capturing this variability at a global scale, limiting accurate modeling of land hydrology. We found that satellite-based vegetation variability considerably improved modeled land hydrology and therefore has potential to improve climate predictions of, for example, droughts.
Jessica A. Eisma, Gerrit Schoups, Jeffrey C. Davids, and Nick van de Giesen
Hydrol. Earth Syst. Sci., 27, 3565–3579, https://doi.org/10.5194/hess-27-3565-2023, https://doi.org/10.5194/hess-27-3565-2023, 2023
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Citizen scientists often submit high-quality data, but a robust method for assessing data quality is needed. This study develops a semi-automated program that characterizes the mistakes made by citizen scientists by grouping them into communities of citizen scientists with similar mistake tendencies and flags potentially erroneous data for further review. This work may help citizen science programs assess the quality of their data and can inform training practices.
Marleen Schübl, Giuseppe Brunetti, Gabriele Fuchs, and Christine Stumpp
Hydrol. Earth Syst. Sci., 27, 1431–1455, https://doi.org/10.5194/hess-27-1431-2023, https://doi.org/10.5194/hess-27-1431-2023, 2023
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Estimating groundwater recharge through the unsaturated zone is a difficult task that is fundamentally associated with uncertainties. One of the few methods available is inverse modeling based on soil water measurements. Here, we used a nested sampling algorithm within a Bayesian probabilistic framework to assess model uncertainties at 14 sites in Austria. Further, we analyzed simulated recharge rates to identify factors influencing groundwater recharge rates and their temporal variability.
Pau Wiersma, Jerom Aerts, Harry Zekollari, Markus Hrachowitz, Niels Drost, Matthias Huss, Edwin H. Sutanudjaja, and Rolf Hut
Hydrol. Earth Syst. Sci., 26, 5971–5986, https://doi.org/10.5194/hess-26-5971-2022, https://doi.org/10.5194/hess-26-5971-2022, 2022
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We test whether coupling a global glacier model (GloGEM) with a global hydrological model (PCR-GLOBWB 2) leads to a more realistic glacier representation and to improved basin runoff simulations across 25 large-scale basins. The coupling does lead to improved glacier representation, mainly by accounting for glacier flow and net glacier mass loss, and to improved basin runoff simulations, mostly in strongly glacier-influenced basins, which is where the coupling has the most impact.
Judith Uwihirwe, Alessia Riveros, Hellen Wanjala, Jaap Schellekens, Frederiek Sperna Weiland, Markus Hrachowitz, and Thom A. Bogaard
Nat. Hazards Earth Syst. Sci., 22, 3641–3661, https://doi.org/10.5194/nhess-22-3641-2022, https://doi.org/10.5194/nhess-22-3641-2022, 2022
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This study compared gauge-based and satellite-based precipitation products. Similarly, satellite- and hydrological model-derived soil moisture was compared to in situ soil moisture and used in landslide hazard assessment and warning. The results reveal the cumulative 3 d rainfall from the NASA-GPM to be the most effective landslide trigger. The modelled antecedent soil moisture in the root zone was the most informative hydrological variable for landslide hazard assessment and warning in Rwanda.
Judith Uwihirwe, Markus Hrachowitz, and Thom Bogaard
Nat. Hazards Earth Syst. Sci., 22, 1723–1742, https://doi.org/10.5194/nhess-22-1723-2022, https://doi.org/10.5194/nhess-22-1723-2022, 2022
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This research tested the value of regional groundwater level information to improve landslide predictions with empirical models based on the concept of threshold levels. In contrast to precipitation-based thresholds, the results indicated that relying on threshold models exclusively defined using hydrological variables such as groundwater levels can lead to improved landslide predictions due to their implicit consideration of long-term antecedent conditions until the day of landslide occurrence.
Elisa Ragno, Markus Hrachowitz, and Oswaldo Morales-Nápoles
Hydrol. Earth Syst. Sci., 26, 1695–1711, https://doi.org/10.5194/hess-26-1695-2022, https://doi.org/10.5194/hess-26-1695-2022, 2022
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We explore the ability of non-parametric Bayesian networks to reproduce maximum daily discharge in a given month in a catchment when the remaining hydro-meteorological and catchment attributes are known. We show that a saturated network evaluated in an individual catchment can reproduce statistical characteristics of discharge in about ~ 40 % of the cases, while challenges remain when a saturated network considering all the catchments together is evaluated.
Laurène J. E. Bouaziz, Emma E. Aalbers, Albrecht H. Weerts, Mark Hegnauer, Hendrik Buiteveld, Rita Lammersen, Jasper Stam, Eric Sprokkereef, Hubert H. G. Savenije, and Markus Hrachowitz
Hydrol. Earth Syst. Sci., 26, 1295–1318, https://doi.org/10.5194/hess-26-1295-2022, https://doi.org/10.5194/hess-26-1295-2022, 2022
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Assuming stationarity of hydrological systems is no longer appropriate when considering land use and climate change. We tested the sensitivity of hydrological predictions to changes in model parameters that reflect ecosystem adaptation to climate and potential land use change. We estimated a 34 % increase in the root zone storage parameter under +2 K global warming, resulting in up to 15 % less streamflow in autumn, due to 14 % higher summer evaporation, compared to a stationary system.
Punpim Puttaraksa Mapiam, Monton Methaprayun, Thom Bogaard, Gerrit Schoups, and Marie-Claire Ten Veldhuis
Hydrol. Earth Syst. Sci., 26, 775–794, https://doi.org/10.5194/hess-26-775-2022, https://doi.org/10.5194/hess-26-775-2022, 2022
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The density of rain gauge networks plays an important role in radar rainfall bias correction. In this work, we aimed to assess the extent to which daily rainfall observations from a dense network of citizen scientists improve the accuracy of hourly radar rainfall estimates in the Tubma Basin, Thailand. Results show that citizen rain gauges significantly enhance the performance of radar rainfall bias adjustment up to a range of about 40 km from the center of the citizen rain gauge network.
Markus Hrachowitz, Michael Stockinger, Miriam Coenders-Gerrits, Ruud van der Ent, Heye Bogena, Andreas Lücke, and Christine Stumpp
Hydrol. Earth Syst. Sci., 25, 4887–4915, https://doi.org/10.5194/hess-25-4887-2021, https://doi.org/10.5194/hess-25-4887-2021, 2021
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Deforestation affects how catchments store and release water. Here we found that deforestation in the study catchment led to a 20 % increase in mean runoff, while reducing the vegetation-accessible water storage from about 258 to 101 mm. As a consequence, fractions of young water in the stream increased by up to 25 % during wet periods. This implies that water and solutes are more rapidly routed to the stream, which can, after contamination, lead to increased contaminant peak concentrations.
Josef Fürst, Hans Peter Nachtnebel, Josef Gasch, Reinhard Nolz, Michael Paul Stockinger, Christine Stumpp, and Karsten Schulz
Earth Syst. Sci. Data, 13, 4019–4034, https://doi.org/10.5194/essd-13-4019-2021, https://doi.org/10.5194/essd-13-4019-2021, 2021
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Rosalia is a 222 ha forested research watershed in eastern Austria to study water, energy and solute transport processes. The paper describes the site, monitoring network, instrumentation and the datasets: high-resolution (10 min interval) time series starting in 2015 of four discharge gauging stations, seven rain gauges, and observations of air and water temperature, relative humidity, and conductivity, as well as soil water content and temperature, at different depths at four profiles.
Fransje van Oorschot, Ruud J. van der Ent, Markus Hrachowitz, and Andrea Alessandri
Earth Syst. Dynam., 12, 725–743, https://doi.org/10.5194/esd-12-725-2021, https://doi.org/10.5194/esd-12-725-2021, 2021
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The roots of vegetation largely control the Earth's water cycle by transporting water from the subsurface to the atmosphere but are not adequately represented in land surface models, causing uncertainties in modeled water fluxes. We replaced the root parameters in an existing model with more realistic ones that account for a climate control on root development and found improved timing of modeled river discharge. Further extension of our approach could improve modeled water fluxes globally.
Sarah Hanus, Markus Hrachowitz, Harry Zekollari, Gerrit Schoups, Miren Vizcaino, and Roland Kaitna
Hydrol. Earth Syst. Sci., 25, 3429–3453, https://doi.org/10.5194/hess-25-3429-2021, https://doi.org/10.5194/hess-25-3429-2021, 2021
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This study investigates the effects of climate change on runoff patterns in six Alpine catchments in Austria at the end of the 21st century. Our results indicate a substantial shift to earlier occurrences in annual maximum and minimum flows in high-elevation catchments. Magnitudes of annual extremes are projected to increase under a moderate emission scenario in all catchments. Changes are generally more pronounced for high-elevation catchments.
Cody C. Routson, Darrell S. Kaufman, Nicholas P. McKay, Michael P. Erb, Stéphanie H. Arcusa, Kendrick J. Brown, Matthew E. Kirby, Jeremiah P. Marsicek, R. Scott Anderson, Gonzalo Jiménez-Moreno, Jessica R. Rodysill, Matthew S. Lachniet, Sherilyn C. Fritz, Joseph R. Bennett, Michelle F. Goman, Sarah E. Metcalfe, Jennifer M. Galloway, Gerrit Schoups, David B. Wahl, Jesse L. Morris, Francisca Staines-Urías, Andria Dawson, Bryan N. Shuman, Daniel G. Gavin, Jeffrey S. Munroe, and Brian F. Cumming
Earth Syst. Sci. Data, 13, 1613–1632, https://doi.org/10.5194/essd-13-1613-2021, https://doi.org/10.5194/essd-13-1613-2021, 2021
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We present a curated database of western North American Holocene paleoclimate records, which have been screened on length, resolution, and geochronology. The database gathers paleoclimate time series that reflect temperature, hydroclimate, or circulation features from terrestrial and marine sites, spanning a region from Mexico to Alaska. This publicly accessible collection will facilitate a broad range of paleoclimate inquiry.
Artemis Roodari, Markus Hrachowitz, Farzad Hassanpour, and Mostafa Yaghoobzadeh
Hydrol. Earth Syst. Sci., 25, 1943–1967, https://doi.org/10.5194/hess-25-1943-2021, https://doi.org/10.5194/hess-25-1943-2021, 2021
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In a combined data analysis and modeling study in the transboundary Helmand River basin, we analyzed spatial patterns of drought and changes therein based on the drought indices as well as on absolute water deficits. Overall the results illustrate that flow deficits and the associated droughts clearly reflect the dynamic interplay between temporally varying regional differences in hydro-meteorological variables together with subtle and temporally varying effects linked to human intervention.
Laurène J. E. Bouaziz, Fabrizio Fenicia, Guillaume Thirel, Tanja de Boer-Euser, Joost Buitink, Claudia C. Brauer, Jan De Niel, Benjamin J. Dewals, Gilles Drogue, Benjamin Grelier, Lieke A. Melsen, Sotirios Moustakas, Jiri Nossent, Fernando Pereira, Eric Sprokkereef, Jasper Stam, Albrecht H. Weerts, Patrick Willems, Hubert H. G. Savenije, and Markus Hrachowitz
Hydrol. Earth Syst. Sci., 25, 1069–1095, https://doi.org/10.5194/hess-25-1069-2021, https://doi.org/10.5194/hess-25-1069-2021, 2021
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We quantify the differences in internal states and fluxes of 12 process-based models with similar streamflow performance and assess their plausibility using remotely sensed estimates of evaporation, snow cover, soil moisture and total storage anomalies. The dissimilarities in internal process representation imply that these models cannot all simultaneously be close to reality. Therefore, we invite modelers to evaluate their models using multiple variables and to rely on multi-model studies.
Petra Hulsman, Hubert H. G. Savenije, and Markus Hrachowitz
Hydrol. Earth Syst. Sci., 25, 957–982, https://doi.org/10.5194/hess-25-957-2021, https://doi.org/10.5194/hess-25-957-2021, 2021
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Satellite observations have increasingly been used for model calibration, while model structural developments largely rely on discharge data. For large river basins, this often results in poor representations of system internal processes. This study explores the combined use of satellite-based evaporation and total water storage data for model structural improvement and spatial–temporal model calibration for a large, semi-arid and data-scarce river system.
Ralf Loritz, Markus Hrachowitz, Malte Neuper, and Erwin Zehe
Hydrol. Earth Syst. Sci., 25, 147–167, https://doi.org/10.5194/hess-25-147-2021, https://doi.org/10.5194/hess-25-147-2021, 2021
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This study investigates the role and value of distributed rainfall in the runoff generation of a mesoscale catchment. We compare the performance of different hydrological models at different periods and show that a distributed model driven by distributed rainfall yields improved performances only during certain periods. We then step beyond this finding and develop a spatially adaptive model that is capable of dynamically adjusting its spatial model structure in time.
Cited articles
Ajami, N. K., Gupta, H., Wagener, T., and Sorooshian, S.: Calibration of a
semi-distributed hydrologic model for streamflow estimation along a river
system, J. Hydrol., 298, 112–135,
https://doi.org/10.1016/j.jhydrol.2004.03.033, 2004.
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.
Allen, S. T., Kirchner, J. W., and Goldsmith, G. R.: Predicting spatial
patterns in precipitation isotope (δ2H and δ18O) seasonality
using sinusoidal isoscapes, Geophys. Res. Lett., 45,
4859–4868, https://doi.org/10.1029/2018GL077458, 2018.
Allen, S. T., Jasechko, S., Berghuijs, W. R., Welker, J. M., Goldsmith, G. R., and Kirchner, J. W.: Global sinusoidal seasonality in precipitation isotopes, Hydrol. Earth Syst. Sci., 23, 3423–3436, https://doi.org/10.5194/hess-23-3423-2019, 2019.
Asadollahi, M., Stumpp, C., Rinaldo, A., and Benettin, P.: Transport and
water age dynamics in soils: A comparative study of spatially integrated and
spatially explicit models, Water Resour. Res., 56, e2019WR025539,
https://doi.org/10.1029/2019WR025539, 2020.
Barnes, C. and Bonell, M.: Application of unit hydrograph techniques to
solute transport in catchments, Hydrol. Process., 10, 793–802,
https://doi.org/10.1002/(SICI)1099-1085(199606)10:6<793::AID-HYP372>3.0.CO;2-K, 1996.
Begemann, F. and Libby, W. F.: Continental water balance, ground water
inventory and storage times, surface ocean mixing rates and world-wide water
circulation patterns from cosmic-ray and bomb tritium,
Geochim. Cosmochim. Ac., 12, 277–296, https://doi.org/10.1016/0016-7037(57)90040-6, 1957.
Benettin, P., Kirchner, J. W., Rinaldo, A., and Botter, G.: Modeling
chloride transport using travel time distributions at Plynlimon, Wales,
Water Resour. Res., 51, 3259–3276, https://doi.org/10.1002/2014WR016600,
2015a.
Benettin, P., Bailey, S. W., Campbell, J. L., Green, M. B., Rinaldo, A.,
Likens, G. E., McGuire, K. J., and Botter, G.: Linking water age and solute
dynamics in streamflow at the Hubbard Brook Experimental Forest, NH, USA,
Water Resour. Res., 51, 9256–9272, https://doi.org/10.1002/2015WR017552,
2015b.
Benettin, P., Soulsby, C., Birkel, C., Tetzlaff, D., Botter, G., and
Rinaldo, A.: Using SAS functions and high-resolution isotope data to unravel
travel time distributions in headwater catchments, Water Resour. Res., 53,
1864–1878, https://doi.org/10.1002/2016WR020117, 2017.
Benettin, P., Nehemy, M. F., Asadollahi, M., Pratt, D., Bensimon, M.,
McDonnell, J. J., and Rinaldo, A.: Tracing and closing the water balance in
a vegetated lysimeter, Water Resour. Res., 57, e2020WR029049,
https://doi.org/10.1029/2020WR029049, 2021.
Benettin, P., Rodriguez, N. B., Sprenger, M., Kim, M., Klaus, J., Harman, C.
J., Van Der Velde, Y., Hrachowitz, M., Botter, G., McGuire, K. J., Kirchner,
J. W., Rinaldo A., McDonnell, J. J.: Transit time estimation in catchments:
Recent developments and future directions, Water Resour. Res., 58, e2022WR033096,
https://doi.org/10.1029/2022WR033096, 2022.
Bergström, S., Carlsson, B., Sandberg, G., and Maxe, L.: Integrated
modelling of runoff, alkalinity, and pH on a daily basis,
Hydrol. Res., 16, 89–104, https://doi.org/10.2166/nh.1985.0008, 1985.
Beven, K.: Searching for the Holy Grail of scientific hydrology: as closure, Hydrol. Earth Syst. Sci., 10, 609–618, https://doi.org/10.5194/hess-10-609-2006, 2006.
Birkel, C., Dunn, S., Tetzlaff, D., and Soulsby, C.: Assessing the value of
high-resolution isotope tracer data in the stepwise development of a lumped
conceptual rainfall–runoff model, Hydrol. Process., 24, 2335–2348,
https://doi.org/10.1002/hyp.7763, 2010.
Birkel, C., Soulsby, C., and Tetzlaff, D.: Modelling catchment-scale water
storage dynamics: Reconciling dynamic storage with tracer-inferred passive
storage, Hydrol. Process., 25, 3924–3936, https://doi.org/10.1002/hyp.8201,
2011.
Birkel, C., Soulsby, C., and Tetzlaff, D.: Conceptual modelling to assess
how the interplay of hydrological connectivity, catchment storage and tracer
dynamics controls nonstationary water age estimates, Hydrol. Process., 29,
2956–2969, https://doi.org/10.1002/hyp.10414, 2015.
Birkel, C., Duvert, C., Correa, A., Munksgaard, N. C., Maher, D. T., and
Hutley, L. B.: Tracer-aided modeling in the low-relief, wet-dry tropics
suggests water ages and DOC export are driven by seasonal wetlands and deep
groundwater, Water Resour. Res., 56, e2019WR026175,
https://doi.org/10.1029/2019WR026175, 2020.
Bolin, B. and Rodhe, H.: A note on the concepts of age distribution and
transit time in natural reservoirs, Tellus, 25, 58–62,
https://doi.org/10.1111/j.2153-3490.1973.tb01594.x, 1973.
Botter, G., Bertuzzo, E., and Rinaldo, A.: Catchment residence and travel
time distributions: The master equation, Geophys. Res. Lett., 38, L11403,
https://doi.org/10.1029/2011GL047666, 2011.
Bouaziz, L. J. E., Fenicia, F., Thirel, G., de Boer-Euser, T., Buitink, J., Brauer, C. C., De Niel, J., Dewals, B. J., Drogue, G., Grelier, B., Melsen, L. A., Moustakas, S., Nossent, J., Pereira, F., Sprokkereef, E., Stam, J., Weerts, A. H., Willems, P., Savenije, H. H. G., and Hrachowitz, M.: Behind the scenes of streamflow model performance, Hydrol. Earth Syst. Sci., 25, 1069–1095, https://doi.org/10.5194/hess-25-1069-2021, 2021.
Buzacott, A. J., van Der Velde, Y., Keitel, C., and Vervoort, R. W.:
Constraining water age dynamics in a south-eastern Australian catchment
using an age-ranked storage and stable isotope approach, Hydrol. Process.,
34, 4384–4403, https://doi.org/10.1002/hyp.13880, 2020.
Christophersen, N. and Wright, R. F.: Sulfate budget and a model for sulfate
concentrations in stream water at Birkenes, a small forested catchment in
southernmost Norway, Water Resour. Res., 17, 377–389,
https://doi.org/10.1029/WR017i002p00377, 1981.
Christophersen, N., Seip, H. M., and Wright, R. F.: A model for streamwater
chemistry at Birkenes, Norway, Water Resour. Res., 18, 977–996,
https://doi.org/10.1029/WR018i004p00977, 1982.
Clark, M. P., Rupp, D. E., Woods, R. A., Zheng, X., Ibbitt, R. P., Slater,
A. G., Schmidt, J., and Uddstrom, M. J.: Hydrological data assimilation with
the ensemble Kalman filter: Use of streamflow observations to update states
in a distributed hydrological model, Adv. Water Resour., 31, 1309–1324,
https://doi.org/10.1016/j.advwatres.2008.06.005, 2008.
De Grosbois, E., Hooper, R. P., and Christophersen, N.: A multisignal
automatic calibration methodology for hydrochemical models: a case study of
the Birkenes model, Water Resour. Res., 24, 1299–1307,
https://doi.org/10.1029/WR024i008p01299, 1988.
DeWalle, D., Edwards, P., Swistock, B., Aravena, R., and Drimmie, R.:
Seasonal isotope hydrology of three Appalachian forest catchments, Hydrol.
Process., 11, 1895–1906,
https://doi.org/10.1002/(SICI)1099-1085(199712)11:15<1895::AID-HYP538>3.0.CO;2-#, 1997.
Dincer, T., Payne, B., Florkowski, T., Martinec, J., and Tongiorgi, E.:
Snowmelt runoff from measurements of tritium and oxygen-18, Water Resour.
Res., 6, 110–124, https://doi.org/10.1029/WR006i001p00110, 1970.
Duvert, C., Stewart, M. K., Cendón, D. I., and Raiber, M.: Time series of tritium, stable isotopes and chloride reveal short-term variations in groundwater contribution to a stream, Hydrol. Earth Syst. Sci., 20, 257–277, https://doi.org/10.5194/hess-20-257-2016, 2016.
Eriksson, E.: The possible use of tritium' for estimating groundwater
storage, Tellus, 10, 472–478, https://doi.org/10.3402/tellusa.v10i4.9265,
1958.
Euser, T., Hrachowitz, M., Winsemius, H. C., and Savenije, H. H.: The effect
of forcing and landscape distribution on performance and consistency of
model structures, Hydrol. Process., 29,
3727–3743, https://doi.org/10.1002/hyp.10445, 2015.
Fenicia, F., Savenije, H. H. G., Matgen, P., and Pfister, L.: Is the groundwater reservoir linear? Learning from data in hydrological modelling, Hydrol. Earth Syst. Sci., 10, 139–150, https://doi.org/10.5194/hess-10-139-2006, 2006.
Fenicia, F., Wrede, S., Kavetski, D., Pfister, L., Hoffmann, L., Savenije,
H. H., and McDonnell, J. J.: Assessing the impact of mixing assumptions on
the estimation of streamwater mean residence time, Hydrol. Process., 24,
1730–1741, https://doi.org/10.1002/hyp.7595, 2010.
Fovet, O., Ruiz, L., Hrachowitz, M., Faucheux, M., and Gascuel-Odoux, C.: Hydrological hysteresis and its value for assessing process consistency in catchment conceptual models, Hydrol. Earth Syst. Sci., 19, 105–123, https://doi.org/10.5194/hess-19-105-2015, 2015.
Gallart, F., Roig-Planasdemunt, M., Stewart, M. K., Llorens, P.,
Morgenstern, U., Stichler, W., Pfister, L., and Latron, J.: A GLUE-based
uncertainty assessment framework for tritium-inferred transit time
estimations under baseflow conditions, Hydrol. Process., 30, 4741–4760,
https://doi.org/10.1002/hyp.10991, 2016.
Gao, H., Hrachowitz, M., Fenicia, F., Gharari, S., and Savenije, H. H. G.: Testing the realism of a topography-driven model (FLEX-Topo) in the nested catchments of the Upper Heihe, China, Hydrol. Earth Syst. Sci., 18, 1895–1915, https://doi.org/10.5194/hess-18-1895-2014, 2014.
Gao, H., Hrachowitz, M., Sriwongsitanon, N., Fenicia, F., Gharari, S., and
Savenije, H. H.: Accounting for the influence of vegetation and landscape
improves model transferability in a tropical savannah region, Water Resour.
Res., 52, 7999–8022,
https://doi.org/10.1002/2016WR019574, 2016.
Gao, H., Ding, Y., Zhao, Q., Hrachowitz, M., and Savenije, H. H.: The
importance of aspect for modelling the hydrological response in a glacier
catchment in Central Asia, Hydrol. Process., 31, 2842–2859,
https://doi.org/10.1002/hyp.11224, 2017.
Gharari, S., Hrachowitz, M., Fenicia, F., and Savenije, H. H. G.: Hydrological landscape classification: investigating the performance of HAND based landscape classifications in a central European meso-scale catchment, Hydrol. Earth Syst. Sci., 15, 3275–3291, https://doi.org/10.5194/hess-15-3275-2011, 2011.
Gharari, S., Hrachowitz, M., Fenicia, F., Gao, H., and Savenije, H.: Using
expert knowledge to increase realism in environmental system models can
dramatically reduce the need for calibration, Hydrol. Earth Syst. Sci., 18,
4839-4859, https://doi.org/10.5194/hess-18-4839-2014, 2014.
Girons Lopez, M., Vis, M. J. P., Jenicek, M., Griessinger, N., and Seibert, J.: Assessing the degree of detail of temperature-based snow routines for runoff modelling in mountainous areas in central Europe, Hydrol. Earth Syst. Sci., 24, 4441–4461, https://doi.org/10.5194/hess-24-4441-2020, 2020.
Godsey, S. E., Kirchner, J. W., and Clow, D. W.: Concentration–discharge
relationships reflect chemostatic characteristics of US catchments, Hydrol.
Process., 23, 1844–1864, https://doi.org/10.1002/hyp.7315, 2009.
Godsey, S. E., Aas, W., Clair, T. A., De Wit, H. A., Fernandez, I. J., Kahl,
J. S., Malcolm, I. A., Neal, C., Neal, M., and Nelson, S. J.: Generality of
fractal 1/f scaling in catchment tracer time series, and its implications
for catchment travel time distributions, Hydrol. Process., 24, 1660–1671,
https://doi.org/10.1002/hyp.7677, 2010.
Goovaerts, P.: Geostatistical approaches for incorporating elevation into
the spatial interpolation of rainfall, J. Hydrol., 228, 113–129,
https://doi.org/10.1016/S0022-1694(00)00144-X, 2000.
Hadka, D. and Reed, P.: Borg: An auto-adaptive many-objective evolutionary
computing framework, Evolutionary computation, 21, 231–259,
https://doi.org/10.1162/EVCO_a_00075, 2013.
Hanus, S., Hrachowitz, M., Zekollari, H., Schoups, G., Vizcaino, M., and Kaitna, R.: Future changes in annual, seasonal and monthly runoff signatures in contrasting Alpine catchments in Austria, Hydrol. Earth Syst. Sci., 25, 3429–3453, https://doi.org/10.5194/hess-25-3429-2021, 2021.
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.
Harms, P. A., Visser, A., Moran, J. E., and Esser, B. K.: Distribution of
tritium in precipitation and surface water in California, J. Hydrol., 534,
63–72, https://doi.org/10.1016/j.jhydrol.2015.12.046, 2016.
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., Soulsby, C., Tetzlaff, D., Dawson, J. J. C., and Malcolm,
I.: Regionalization of transit time estimates in montane catchments by
integrating landscape controls, Water Resour. Res., 45, W05421,
https://doi.org/10.1029/2008WR007496, 2009a.
Hrachowitz, M., Soulsby, C., Tetzlaff, D., Dawson, J. J. C., Dunn, S., and
Malcolm, I.: Using long-term data sets to understand transit times in
contrasting headwater catchments, J. Hydrol., 367, 237–248,
https://doi.org/10.1016/j.jhydrol.2009.01.001, 2009b.
Hrachowitz, M., Soulsby, C., Tetzlaff, D., Malcolm, I., and Schoups, G.:
Gamma distribution models for transit time estimation in catchments:
Physical interpretation of parameters and implications for time-variant
transit time assessment, Water Resour. Res., 46, W10536,
https://doi.org/10.1029/2010WR009148, 2010a.
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.: Transit time
distributions, legacy contamination and variability in biogeochemical
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.
Hrachowitz, M., Stockinger, M., Coenders-Gerrits, M., van der Ent, R., Bogena, H., Lücke, A., and Stumpp, C.: Reduction of vegetation-accessible water storage capacity after deforestation affects catchment travel time distributions and increases young water fractions in a headwater catchment, Hydrol. Earth Syst. Sci., 25, 4887–4915, https://doi.org/10.5194/hess-25-4887-2021, 2021.
Hulsman, P., Hrachowitz, M., and Savenije, H. H.: Improving the
representation of long-term storage variations with conceptual hydrological
models in data-scarce regions, Water Resour. Res., 57, e2020WR028837,
https://doi.org/10.1029/2020WR028837, 2021a.
Hulsman, P., Savenije, H. H. G., and Hrachowitz, M.: Learning from satellite observations: increased understanding of catchment processes through stepwise model improvement, Hydrol. Earth Syst. Sci., 25, 957–982, https://doi.org/10.5194/hess-25-957-2021, 2021b.
IAEA/WMO: Global Network of Isotopes in Precipitation, The GNIP Database, https://nucleus.iaea.org/wiser (last access: 30 November 2022), 2022.
Kendall, C. and McDonnell, J. J.: Isotope tracers in catchment hydrology,
Elsevier, https://shop.elsevier.com/books/isotope-tracers-in-catchment-hydrology/kendall/978-0-444-81546-0 (last access: 21 August 2023), 2012.
Kim, M., Volkmann, T. H., Wang, Y., Meira Neto, A. A., Matos, K., Harman, C.
J., and Troch, P. A.: Direct Observation of Hillslope Scale StorAge
Selection Functions in Experimental Hydrologic Systems: Geomorphologic
Structure and Preferential Discharge of Old Water, Water Resour. Res., 58,
e2020WR028959, https://doi.org/10.1029/2020WR028959, 2022.
Kirchner, J. W., Feng, X., and Neal, C.: Catchment-scale advection and
dispersion as a mechanism for fractal scaling in stream tracer
concentrations, J. Hydrol., 254, 82–101,
https://doi.org/10.1016/S0022-1694(01)00487-5, 2001.
Kirchner, J. W.: Getting the right answers for the right reasons: Linking
measurements, analyses, and models to advance the science of hydrology,
Water Resour. Res., 42, W03S04, https://doi.org/10.1029/2005WR004362, 2006.
Kirchner, J. W., Tetzlaff, D., and Soulsby, C.: Comparing chloride and water
isotopes as hydrological tracers in two Scottish catchments, Hydrol.
Process., 24, 1631–1645, https://doi.org/10.1002/hyp.7676, 2010.
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.
Koeniger, P., Stumpp, C., and Schmidt, A.: Stable isotope patterns of German rivers
with aspects on scales, continuity and network status,
Isot. Environ. Healt. S., 58, 363–379,
https://doi.org/10.1080/10256016.2022.2127702, 2022.
Kreft, A. and Zuber, A.: On the physical meaning of the dispersion equation
and its solutions for different initial and boundary conditions,
Chem. Eng. Sci., 33, 1471–1480,
https://doi.org/10.1016/0009-2509(78)85196-3, 1978.
Kuppel, S., Tetzlaff, D., Maneta, M. P., and Soulsby, C.: EcH2O-iso 1.0: water isotopes and age tracking in a process-based, distributed ecohydrological model, Geosci. Model Dev., 11, 3045–3069, https://doi.org/10.5194/gmd-11-3045-2018, 2018.
Kuppel, S., Tetzlaff, D., Maneta, M. P., and Soulsby, C.: Critical zone
storage controls on the water ages of ecohydrological outputs, Geophys. Res.
Lett., 47, e2020GL088897, https://doi.org/10.1029/2020GL088897, 2020.
Lloyd, C.: Assessing the effect of integrating elevation data into the
estimation of monthly precipitation in Great Britain, J. Hydrol., 308,
128–150, https://doi.org/10.1016/j.jhydrol.2004.10.026, 2005.
Loritz, R., Hrachowitz, M., Neuper, M., and Zehe, E.: The role and value of distributed precipitation data in hydrological models, Hydrol. Earth Syst. Sci., 25, 147–167, https://doi.org/10.5194/hess-25-147-2021, 2021.
Lundquist, D.: Hydrochemical modelling of drainage basins. SNSF-project,
Norwegian Institute for Water Research, Oslo, Rep. IR, 31, p. 27, 1977.
Małoszewski, P. and Zuber, A.: Determining the turnover time of
groundwater systems with the aid of environmental tracers: 1. Models and
their applicability, J. Hydrol., 57, 207–231,
https://doi.org/10.1016/0022-1694(82)90147-0, 1982.
Małoszewski, P., Rauert, W., Stichler, W., and Herrmann, A.: Application
of flow models in an alpine catchment area using tritium and deuterium data,
J. Hydrol., 66, 319–330, https://doi.org/10.1016/0022-1694(83)90193-2, 1983.
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.
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.
Michel, R. L., Aggarwal, P., Araguas-Araguas, L., Kurttas, T., Newman, B.
D., and Vitvar, T.: A simplified approach to analysing historical and recent
tritium data in surface waters, Hydrol. Process., 29, 572–578,
https://doi.org/10.1002/hyp.10174, 2015.
Morgenstern, U., Stewart, M. K., and Stenger, R.: Dating of streamwater using tritium in a post nuclear bomb pulse world: continuous variation of mean transit time with streamflow, Hydrol. Earth Syst. Sci., 14, 2289–2301, https://doi.org/10.5194/hess-14-2289-2010, 2010.
Mostbauer, K., Kaitna, R., Prenner, D., and Hrachowitz, M.: The temporally varying roles of rainfall, snowmelt and soil moisture for debris flow initiation in a snow-dominated system, Hydrol. Earth Syst. Sci., 22, 3493–3513, https://doi.org/10.5194/hess-22-3493-2018, 2018.
Nguyen, T. V., Kumar, R., Musolff, A., Lutz, S. R., Sarrazin, F., Attinger,
S., and Fleckenstein, J. H.: Disparate seasonal nitrate export from nested
heterogeneous subcatchments revealed with StorAge Selection functions, Water
Resour. Res., 58, e2021WR030797. https://doi.org/10.1029/2021WR030797, 2022.
Niemi, A. J.: Residence time distributions of variable flow processes, The
Int. J. Appl. Radiat. Is., 28, 855–860,
https://doi.org/10.1016/0020-708X(77)90026-6, 1977.
Nijzink, R., Hutton, C., Pechlivanidis, I., Capell, R., Arheimer, B., Freer, J., Han, D., Wagener, T., McGuire, K., Savenije, H., and Hrachowitz, M.: The evolution of root-zone moisture capacities after deforestation: a step towards hydrological predictions under change?, Hydrol. Earth Syst. Sci., 20, 4775–4799, https://doi.org/10.5194/hess-20-4775-2016, 2016.
Nir, A.: Tracer relations in mixed lakes in non-steady state, J. Hydrol., 19, 33–41, https://doi.org/10.1016/0022-1694(73)90091-7, 1973.
Pfister, L., Martínez-Carreras, N., Hissler, C., Klaus, J., Carrer, G.
E., Stewart, M. K., and McDonnell, J. J.: Bedrock geology controls on
catchment storage, mixing, and release: A comparative analysis of 16 nested
catchments, Hydrol. Process., 31, 1828–1845,
https://doi.org/10.1002/hyp.11134, 2017.
Prenner, D., Kaitna, R., Mostbauer, K., and Hrachowitz, M.: The value of
using multiple hydrometeorological variables to predict temporal debris flow
susceptibility in an alpine environment, Water Resour. Res., 54, 6822–6843,
https://doi.org/10.1029/2018WR022985, 2018.
Rank, D., Wyhlidal, S., Schott, K., Weigand, S., and Oblin, A.: Temporal and
spatial distribution of isotopes in river water in Central Europe: 50 years
experience with the Austrian network of isotopes in rivers,
Isot. Environ. Healt. S., 54, 115–136,
https://doi.org/10.1080/10256016.2017.1383906, 2018.
Reckerth, A., Stichler, W., Schmidt, A., and Stumpp, C.: Long-term data set
analysis of stable isotopic composition in German rivers, J. Hydrol., 552,
718–731, https://doi.org/10.1016/j.jhydrol.2017.07.022, 2017.
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.
Rodriguez, N. B. and Klaus, J.: Catchment travel times from composite
StorAge Selection functions representing the superposition of streamflow
generation processes, Water Resour. Res., 55, 9292–9314,
https://doi.org/10.1029/2019WR024973, 2019.
Rodriguez, N. B., McGuire, K. J., and Klaus, J.: Time-varying storage–water
age relationships in a catchment with a Mediterranean climate, Water Resour.
Res., 54, 3988–4008, https://doi.org/10.1029/2017WR021964, 2018.
Rodriguez, N. B., Pfister, L., Zehe, E., and Klaus, J.: A comparison of catchment travel times and storage deduced from deuterium and tritium tracers using StorAge Selection functions, Hydrol. Earth Syst. Sci., 25, 401–428, https://doi.org/10.5194/hess-25-401-2021, 2021.
Roodari, A., Hrachowitz, M., Hassanpour, F., and Yaghoobzadeh, M.: Signatures of human intervention – or not? Downstream intensification of hydrological drought along a large Central Asian river: the individual roles of climate variability and land use change, Hydrol. Earth Syst. Sci., 25, 1943–1967, https://doi.org/10.5194/hess-25-1943-2021, 2021.
Rozanski, K., Gonfiantini, R., and Araguas-Araguas, L.: Tritium in the
global atmosphere: Distribution patterns and recent trends,
J. Phys. G Nucl. Partic., 17, S523, https://doi.org/10.1088/0954-3899/17/S/053, 1991.
Schmidt, A., Frank, G., Stichler, W., Duester, L., Steinkopff, T., and
Stumpp, C.: Overview of tritium records from precipitation and surface
waters in Germany, Hydrol. Process., 34, 1489–1493,
https://doi.org/10.1002/hyp.13691, 2020.
Seeger, S. and Weiler, M.: Reevaluation of transit time distributions, mean transit times and their relation to catchment topography, Hydrol. Earth Syst. Sci., 18, 4751–4771, https://doi.org/10.5194/hess-18-4751-2014, 2014.
Seibert, J., McDonnell, J. J., and Woodsmith, R. D.: Effects of wildfire on
catchment runoff response: a modelling approach to detect changes in
snow-dominated forested catchments, Hydrol. Res., 41, 378–390,
https://doi.org/10.2166/nh.2010.036, 2010.
Seip, H. M., Seip, R., Dillon, P. J., and Grosbois, E. D.: Model of sulphate
concentration in a small stream in the Harp Lake catchment, Ontario,
Can. J. Fish. Aquat. Sci., 42, 927–937,
https://doi.org/10.1139/f85-117, 1985.
Shaw, S. B., Harpold, A. A., Taylor, J. C., and Walter, M. T.: Investigating
a high resolution, stream chloride time series from the Biscuit Brook
catchment, Catskills, NY, J. Hydrol., 348, 245–256,
https://doi.org/10.1016/j.jhydrol.2007.10.009, 2008.
Soulsby, C., Birkel, C., and Tetzlaff, D.: Characterizing the age
distribution of catchment evaporative losses, Hydrol. Process., 30,
1308–1312, https://doi.org/10.1002/hyp.10751, 2016.
Sprenger, M., Stumpp, C., Weiler, M., Aeschbach, W., Allen, S. T., Benettin,
P., Dubbert, M., Hartmann, A., Hrachowitz, M., and Kirchner, J. W.: The
demographics of water: A review of water ages in the critical zone, Rev. Geophys., 57, 800–834, https://doi.org/10.1029/2018RG000633, 2019.
Stewart, M. K. and Thomas, J. T.: A conceptual model of flow to the Waikoropupu Springs, NW Nelson, New Zealand, based on hydrometric and tracer (18O, Cl,3H and CFC) evidence, Hydrol. Earth Syst. Sci., 12, 1–19, https://doi.org/10.5194/hess-12-1-2008, 2008.
Stewart, M. K. and Morgenstern, U.: Importance of tritium-based transit
times in hydrological systems, WIRES Water, 3, 145–154,
https://doi.org/10.1002/wat2.1134, 2016.
Stewart, M., Morgenstern, U., McDonnell, J., and Pfister, L.: The'hidden
streamflow'challenge in catchment hydrology: a call to action for stream
water transit time analysis, Hydrol. Process., 26, 2061–2066,
https://doi.org/10.1002/hyp.9262, 2012.
Stewart, M. K., Mehlhorn, J., and Elliott, S.: Hydrometric and natural
tracer (oxygen-18, silica, tritium and sulphur hexafluoride) evidence for a
dominant groundwater contribution to Pukemanga Stream, New Zealand, Hydrol.
Process., 21, 3340–3356, https://doi.org/10.1002/hyp.6557, 2007.
Stewart, M. K., Morgenstern, U., and McDonnell, J. J.: Truncation of stream
residence time: how the use of stable isotopes has skewed our concept of
streamwater age and origin, Hydrol. Process., 24, 1646–1659,
https://doi.org/10.1002/hyp.7576, 2010.
Stewart, M. K., Morgenstern, U., and Cartwright, I.: Comment on “A comparison of catchment travel times and storage deduced from deuterium and tritium tracers using StorAge Selection functions” by Rodriguez et al. (2021), Hydrol. Earth Syst. Sci., 25, 6333–6338, https://doi.org/10.5194/hess-25-6333-2021, 2021.
Stumpp, C., Klaus, J., and Stichler, W.: Analysis of long-term stable
isotopic composition in German precipitation, J. Hydrol., 517, 351–361,
https://doi.org/10.1016/j.jhydrol.2014.05.034, 2014.
Tadros, C. V., Hughes, C. E., Crawford, J., Hollins, S. E., and Chisari, R.:
Tritium in Australian precipitation: A 50 year record, J. Hydrol., 513,
262–273, https://doi.org/10.1016/j.jhydrol.2014.03.031, 2014.
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, 31-31–31-14,
https://doi.org/10.1029/2001WR000938, 2002.
Van Der Velde, Y., Torfs, P., Van Der Zee, S., 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.
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.
Visser, A., Thaw, M., Deinhart, A., Bibby, R., Safeeq, M., Conklin, M.,
Esser, B., and Van der Velde, Y.: Cosmogenic isotopes unravel the
hydrochronology and water storage dynamics of the Southern Sierra Critical
Zone, Water Resour. Res., 55, 1429–1450,
https://doi.org/10.1029/2018WR023665, 2019.
Vitvar, T. and Balderer, W.: Estimation of mean water residence times and
runoff generation by 180 measurements in a Pre-Alpine catchment
(Rietholzbach, Eastern Switzerland), Appl. Geochem., 12, 787–796,
https://doi.org/10.1016/S0883-2927(97)00045-0, 1997.
Wang, S. and Hrachowitz, M.: The distributed hydrological model, 4TU.ResearchData [code], https://data.4tu.nl/private_datasets/cPe9aIDhcOeH1cjZOAyumGX_SLhBATK7VEPigRSAM_8, last access: 22 August 2023.
Yang, D., Yang, Y., and Xia, J.: Hydrological cycle and water resources in a
changing world: A review, Geography and Sustainability, 2, 115–122,
https://doi.org/10.1016/j.geosus.2021.05.003, 2021.
Zuber, A.: On the interpretation of tracer data in variable flow systems, J. Hydrol., 86, 45–57, https://doi.org/10.1016/0022-1694(86)90005-3, 1986.
Short summary
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.
This study shows that previously reported underestimations of water ages are most likely not due...