Articles | Volume 23, issue 1
https://doi.org/10.5194/hess-23-405-2019
© 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-23-405-2019
© Author(s) 2019. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Research article
| 
24 Jan 2019
Research article |
| 24 Jan 2019
| 24 Jan 2019
Multi-scale temporal variability in meltwater contributions in a tropical glacierized watershed
Leila Saberi
CORRESPONDING AUTHOR
Department of Earth Sciences, University of Minnesota, Twin Cities, Minneapolis, MN 55455, USA
Rachel T. McLaughlin
Department of Earth Sciences, University of Minnesota, Twin Cities, Minneapolis, MN 55455, USA
G.-H. Crystal Ng
Department of Earth Sciences, University of Minnesota, Twin Cities, Minneapolis, MN 55455, USA
Saint Anthony Falls Laboratory, University of Minnesota, Twin Cities, Minneapolis, MN 55414, USA
Jeff La Frenierre
Department of Geography, Gustavus Adolphus College, St. Peter, MN 56082, USA
Andrew D. Wickert
Department of Earth Sciences, University of Minnesota, Twin Cities, Minneapolis, MN 55455, USA
Saint Anthony Falls Laboratory, University of Minnesota, Twin Cities, Minneapolis, MN 55414, USA
Michel Baraer
Construction Engineering, École de Technologie Supérieure, Université du Québec, Montreal, H3C 1K3, Canada
Wei Zhi
Department of Civil and Environmental Engineering, Pennsylvania State University, University Park, PA 16802-1294, USA
Department of Civil and Environmental Engineering, Pennsylvania State University, University Park, PA 16802-1294, USA
Bryan G. Mark
Department of Geography, The Ohio State University, Columbus, OH 43210-1361, USA
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Stefanie Tofelde, Sara Savi, Andrew D. Wickert, Aaron Bufe, and Taylor F. Schildgen
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Andrew D. Wickert, Chad T. Sandell, Bobby Schulz, and Gene-Hua Crystal Ng
Hydrol. Earth Syst. Sci., 23, 2065–2076, https://doi.org/10.5194/hess-23-2065-2019, https://doi.org/10.5194/hess-23-2065-2019, 2019
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Andrew D. Wickert and Taylor F. Schildgen
Earth Surf. Dynam., 7, 17–43, https://doi.org/10.5194/esurf-7-17-2019, https://doi.org/10.5194/esurf-7-17-2019, 2019
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The profound importance of water has led to the development of increasingly complex hydrological models. However, implementing these models is usually time-consuming and requires specialized expertise, stymieing their widespread use to support science-driven decision-making. In response, we have developed GSFLOW–GRASS, a robust and comprehensive set of software tools that can be readily used to set up and execute GSFLOW, the U.S. Geological Survey's coupled groundwater–surface-water flow model.
Roland Baatz, Pamela L. Sullivan, Li Li, Samantha R. Weintraub, Henry W. Loescher, Michael Mirtl, Peter M. Groffman, Diana H. Wall, Michael Young, Tim White, Hang Wen, Steffen Zacharias, Ingolf Kühn, Jianwu Tang, Jérôme Gaillardet, Isabelle Braud, Alejandro N. Flores, Praveen Kumar, Henry Lin, Teamrat Ghezzehei, Julia Jones, Henry L. Gholz, Harry Vereecken, and Kris Van Looy
Earth Syst. Dynam., 9, 593–609, https://doi.org/10.5194/esd-9-593-2018, https://doi.org/10.5194/esd-9-593-2018, 2018
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Focusing on the usage of integrated models and in situ Earth observatory networks, three challenges are identified to advance understanding of ESD, in particular to strengthen links between biotic and abiotic, and above- and below-ground processes. We propose developing a model platform for interdisciplinary usage, to formalize current network infrastructure based on complementarities and operational synergies, and to extend the reanalysis concept to the ecosystem and critical zone.
Oliver Wigmore and Bryan Mark
The Cryosphere, 11, 2463–2480, https://doi.org/10.5194/tc-11-2463-2017, https://doi.org/10.5194/tc-11-2463-2017, 2017
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Using a drone custom built for high altitude flight (4000–6000 m) we completed repeat surveys of Llaca Glacier in the Cordillera Blanca, Peru. Analysis of high resolution imagery and elevation data reveals highly heterogeneous patterns of glacier change and the important role of ice cliffs in glacier melt dynamics. Drones are found to provide a viable and potentially transformative method for studying glacier change at high spatial resolution, on demand and at relatively low cost.
Andrew D. Wickert
Earth Surf. Dynam., 4, 831–869, https://doi.org/10.5194/esurf-4-831-2016, https://doi.org/10.5194/esurf-4-831-2016, 2016
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The ice sheets that once spread across northern North America dramatically changed the drainage basin areas and discharges of rivers across the continent. As these ice sheets retreated, starting around 19 500 years ago, they sent meltwater to the oceans, influencing climate and building a geologic record of deglaciation. This record can be used to evaluate ice-sheet reconstructions and build an improved history and understanding of past ice-sheet collapse across North America.
A. D. Wickert
Geosci. Model Dev., 9, 997–1017, https://doi.org/10.5194/gmd-9-997-2016, https://doi.org/10.5194/gmd-9-997-2016, 2016
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Earth's lithosphere bends beneath surface loads, such as ice, sediments, and mountain belts. The pattern of this bending, or flexural isostatic response, is a function of both the loads and the spatially variable strength of the lithosphere. gFlex is an easy-to-use program to calculate flexural isostastic response, and may be used to better understand how ice sheets, glaciers, large lakes, sedimentary basins, volcanoes, and other surface loads interact with the solid Earth.
Related subject area
Subject: Catchment hydrology | Techniques and Approaches: Modelling approaches
Predicting snow cover and frozen ground impacts on large basin runoff: developing appropriate model complexity
A distributed hybrid physics–AI framework for learning corrections of internal hydrological fluxes and enhancing high-resolution regionalized flood modeling
Adaptation of root zone storage capacity to climate change and its effects on future streamflow in Alpine catchments: towards non-stationary model parameters
Finding process-behavioural parameterisations of a hydrological model using a multi-step process-based calibration and evaluation scheme
Merits and limits of SWAT-GL: application in contrasting glaciated catchments
Hydrological regime index for non-perennial rivers
Assessing the adequacy of traditional hydrological models for climate change impact studies: a case for long short-term memory (LSTM) neural networks
Assessing the value of high-resolution data and parameter transferability across temporal scales in hydrological modeling: a case study in northern China
Technical note: How many models do we need to simulate hydrologic processes across large geographical domains?
CONCN: a high-resolution, integrated surface water–groundwater ParFlow modeling platform of continental China
Evaluating the effects of topography and land use change on hydrological signatures: a comparative study of two adjacent watersheds
Technical note: What does the Standardized Streamflow Index actually reflect? Insights and implications for hydrological drought analysis
Long short-term memory networks for enhancing real-time flood forecasts: a case study for an underperforming hydrologic model
Assessing the value of high-resolution rainfall and streamflow data for hydrological modeling: an analysis based on 63 catchments in southeast China
Catchments do not strictly follow Budyko curves over multiple decades, but deviations are minor and predictable
Scale dependency in modeling nivo-glacial hydrological systems: the case of the Arolla basin, Switzerland
Extended-range forecasting of stream water temperature with deep-learning models
Technical note: An approach for handling multiple temporal frequencies with different input dimensions using a single LSTM cell
Enhanced Baseflow Separation in Rural Catchments: Event-Specific Calibration of Recursive Digital Filters with Tracer-Derived Data
Projections of streamflow intermittence under climate change in European drying river networks
Economic valuation of subsurface water contributions to watershed ecosystem services using a fully integrated groundwater–surface-water model
Catchment Attributes and MEteorology for Large-Sample SPATially distributed analysis (CAMELS-SPAT): Streamflow observations, forcing data and geospatial data for hydrologic studies across North America
Analyzing the generalization capabilities of a hybrid hydrological model for extrapolation to extreme events
CH-RUN: a deep-learning-based spatially contiguous runoff reconstruction for Switzerland
Runoff component quantification and future streamflow projection in a large mountainous basin based on a multidata-constrained cryospheric–hydrological model
Exploring the potential processes controlling changes in precipitation–runoff relationships in non-stationary environments
Spatially Resolved Rainfall Streamflow Modeling in Central Europe
A diversity-centric strategy for the selection of spatio-temporal training data for LSTM-based streamflow forecasting
Simulating the Tone River eastward diversion project in Japan carried out 4 centuries ago
Lack of robustness of hydrological models: a large-sample diagnosis and an attempt to identify hydrological and climatic drivers
Achieving water budget closure through physical hydrological process modelling: insights from a large-sample study
Heavy-tailed flood peak distributions: what is the effect of the spatial variability of rainfall and runoff generation?
Combining uncertainty quantification and entropy-inspired concepts into a single objective function for rainfall-runoff model calibration
State updating of the Xin'anjiang model: joint assimilating streamflow and multi-source soil moisture data via the asynchronous ensemble Kalman filter with enhanced error models
Improving the hydrological consistency of a process-based solute-transport model by simultaneous calibration of streamflow and stream concentrations
Understanding the relationship between streamflow forecast skill and value across the western US
Leveraging soil diversity to mitigate hydrological extremes with nature-based solutions in productive catchments
Leveraging a time-series event separation method to disentangle time-varying hydrologic controls on streamflow – application to wildfire-affected catchments
The significance of the leaf area index for evapotranspiration estimation in SWAT-T for characteristic land cover types of West Africa
Improved representation of soil moisture processes through incorporation of cosmic-ray neutron count measurements in a large-scale hydrologic model
Spatio-temporal patterns and trends of streamflow in water-scarce Mediterranean basins
A large-sample modelling approach towards integrating streamflow and evaporation data for the Spanish catchments
Seasonal variation in land cover estimates reveals sensitivities and opportunities for environmental models
Soil moisture and precipitation intensity control the transit time distribution of quick flow in a flashy headwater catchment
Estimating response times, flow velocities, and roughness coefficients of Canadian Prairie basins
Learning landscape features from streamflow with autoencoders
The influence of lateral flow on land surface fluxes in southeast Australia varies with model resolution
Constraining pesticide degradation in conceptual distributed catchment models with compound-specific isotope analysis (CSIA)
On the use of streamflow transformations for hydrological model calibration
Unveiling the Impact of Potential Evapotranspiration Method Selection on Trends in Hydrological Cycle Components Across Europe
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., 29, 3703–3725, https://doi.org/10.5194/hess-29-3703-2025, https://doi.org/10.5194/hess-29-3703-2025, 2025
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This study enhanced a popular water flow model by adding two components: one for snow melting and another for frozen ground cycles. Tested with satellite data and streamflow, the updated model improved accuracy, especially in winter. Frozen ground delays soil drainage, boosting spring runoff by 39 %–77 % and cutting evaporation by 85 %. These findings reveal that frozen ground drives seasonal water patterns.
Ngo Nghi Truyen Huynh, Pierre-André Garambois, Benjamin Renard, François Colleoni, Jérôme Monnier, and Hélène Roux
Hydrol. Earth Syst. Sci., 29, 3589–3613, https://doi.org/10.5194/hess-29-3589-2025, https://doi.org/10.5194/hess-29-3589-2025, 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 the development of learnable and interpretable process-based models.
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.
Moritz M. Heuer, Hadysa Mohajerani, and Markus C. Casper
Hydrol. Earth Syst. Sci., 29, 3503–3525, https://doi.org/10.5194/hess-29-3503-2025, https://doi.org/10.5194/hess-29-3503-2025, 2025
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This study presents a process-behavioural 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 the catchment outlet and simultaneously correctly depicts the underlying hydrological processes.
Timo Schaffhauser, Florentin Hofmeister, Gabriele Chiogna, Fabian Merk, Ye Tuo, Julian Machnitzke, Lucas Alcamo, Jingshui Huang, and Markus Disse
Hydrol. Earth Syst. Sci., 29, 3227–3256, https://doi.org/10.5194/hess-29-3227-2025, https://doi.org/10.5194/hess-29-3227-2025, 2025
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The glacier-expanded SWAT (Soil Water Assessment Tool) version, SWAT-GL, was tested in four different catchments, highlighting the capabilities of the glacier routine. It was evaluated based on the representation of glacier mass balance, snow cover and glacier hypsometry. The glacier changes over a long timescale could be adequately represented, leading to promising potential future applications in glaciated and high mountain environments and significantly outperforming standard SWAT models.
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.
Fernanda Helfer, Felipe Bernardi, Claudia Alessandra Peixoto de Barros, Daniel Gustavo Allasia, Jean Paolo Gomes Minella, Rutinéia Tassi, and Néverton Scariot
EGUsphere, https://doi.org/10.5194/egusphere-2025-244, https://doi.org/10.5194/egusphere-2025-244, 2025
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We explored how water flows in small rural streams to improve tools for better managing water resources. Using a new method, we adjusted existing models to consider the size of rainfall events, showing that water movement patterns change depending on the rain’s intensity. This approach makes predictions more accurate and helps scientists and managers understand water availability and protect ecosystems.
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.
Wouter J. M. Knoben, Kasra Keshavarz, Laura Torres-Rojas, Cyril Thébault, Nathaniel W. Chaney, Alain Pietroniro, and Martyn P. Clark
EGUsphere, https://doi.org/10.5194/egusphere-2025-893, https://doi.org/10.5194/egusphere-2025-893, 2025
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Many existing data sets for hydrologic analysis tend treat catchments as single, spatially homogeneous units, focus on daily data and typically do not support more complex models. This paper introduces a data set that goes beyond this setup by: (1) providing data at higher spatial and temporal resolution, (2) specifically considering the data requirements of all common hydrologic model types, (3) using statistical summaries of the data aimed at quantifying spatial and temporal heterogeneity.
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.
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.
Marc Aurel Vischer, Noelia Otero, and Jackie Ma
EGUsphere, https://doi.org/10.5194/egusphere-2024-3649, https://doi.org/10.5194/egusphere-2024-3649, 2025
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We use a neural network to predict the amount of water flowing into rivers. Our focus is on large river catchment areas in central Europe with pronounced human activity. Our model scales efficiently to large amounts of data and is thus able to processes the input without prior aggregation, capturing fine spatial detail and improving prediction in large catchments. Our model’s internal states can be adapted to allow capturing human activity more explicitly in the future.
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.
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
Short summary
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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
Short summary
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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.
Anjana Devanand, Jason Evans, Andy Pitman, Sujan Pal, David Gochis, and Kevin Sampson
EGUsphere, https://doi.org/10.5194/egusphere-2024-3148, https://doi.org/10.5194/egusphere-2024-3148, 2024
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Including lateral flow increases evapotranspiration near major river channels in high-resolution land surface simulations in southeast Australia, consistent with observations. The 1-km resolution model shows a widespread pattern of dry ridges that does not exist at coarser resolutions. Our results have implications for improved simulations of droughts and future water availability.
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
Short summary
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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.
Cited articles
Andermann, C., Longuevergne, L., Bonnet, S., Crave, A., Davy, P., and Gloaguen,
R.: Impact of transient groundwater storage on the discharge of Himalayan
rivers, Nat. Geosci., 5, 127–132, https://doi.org/10.1038/ngeo1356, 2012. a, b, c
Andrews, E. D.: Measurement and computation of bed-material discharge in a
shallow sand-bed stream, Muddy Creek, Wyoming, Water Resour. Res., 17,
131–141, https://doi.org/10.1029/WR017i001p00131, 1981. a
Bao, C., Li, L., Shi, Y., and Duffy, C.: Understanding watershed
hydrogeochemistry: 1. Development of RT-Flux-PIHM, Water Resour. Res.,
53, 2328–2345, 2017. a
Baraer, M., McKenzie, J. M., Mark, B. G., Bury, J., and Knox, S.:
Characterizing contributions of glacier melt and groundwater during the dry
season in a poorly gauged catchment of the Cordillera Blanca (Peru),
Adv. Geosci., 22, 41–49, https://doi.org/10.5194/adgeo-22-41-2009, 2009. a, b, c, d, e, f
Baraer, M., Mark, B. G., McKenzie, J. M., Condom, T., Bury, J., Huh, K.-I.,
Portocarrero, C., Gómez, J., and Rathay, S.: Glacier recession and
water resources in Peru's Cordillera Blanca, J. Glaciol., 58,
134–150, https://doi.org/10.3189/2012JoG11J186, 2012. a, b
Baraer, M., McKenzie, J., Mark, B. G., Gordon, R., Bury, J., Condom, T., Gomez,
J., Knox, S., and Fortner, S. K.: Contribution of groundwater to the outflow
from ungauged glacierized catchments: a multi-site study in the tropical
Cordillera Blanca, Peru, Hydrol. Proc., 29, 2561–2581,
https://doi.org/10.1002/hyp.10386, 2015. a, b, c, d, e, f, g, h, i
Barba, D., Samaniego, P., Eissen, J.-P., Robin, C., Fornari, M., Cotten, J.,
and Beate, B.: Geology and structure of the late Pleistocene to Holocene
Chimborazo stratovolcano (Ecuador), 6th International Symposium on Andean
Geodynamics (ISAG 2005), 12–14 September 2005, Barcelona, Spain, 90–93, 2005. a
Barnett, T. P., Adam, J. C., and Lettenmaier, D. P.: Potential impacts of a
warming climate on water availability in snow-dominated regions, Nature,
438, 303–309, https://doi.org/10.1038/nature04141, 2005. a
Bhatt, G., Kumar, M., and Duffy, C. J.: A tightly coupled GIS and distributed
hydrologic modeling framework, Environ. Modell. Softw., 62,
70–84, https://doi.org/10.1016/j.envsoft.2014.08.003, 2014. a, b
Bradley, R. S.: CLIMATE CHANGE: Threats to Water Supplies in the Tropical
Andes, Science, 312, 1755–1756, https://doi.org/10.1126/science.1128087, 2006. a, b
Bradley, R. S., Vuille, M., Hardy, D., and Thompson, L. G.: Low latitude ice
cores record Pacific sea surface temperatures, Geophys. Res. Lett.,
30, 2–5, https://doi.org/10.1029/2002GL016546, 2003. a
Braun, L. N., Weber, M., and Schulz, M.: Consequences of climate change for
runoff from Alpine regions, Ann. Glaciol., 31, 19–25,
https://doi.org/10.3189/172756400781820165, 2000. a
Bury, J., Mark, B. G., Carey, M., Young, K. R., McKenzie, J. M., Baraer, M.,
French, A., and Polk, M. H.: New Geographies of Water and Climate Change in
Peru: Coupled Natural and Social Transformations in the Santa River
Watershed, Ann. Assoc. Am. Geogr., 103, 363–374,
https://doi.org/10.1080/00045608.2013.754665, 2013. a
Bury, J. T., Mark, B. G., McKenzie, J. M., French, A., Baraer, M., Huh, K. I.,
Zapata Luyo, M. A., and Gómez López, R. J.: Glacier recession
and human vulnerability in the Yanamarey watershed of the Cordillera Blanca,
Peru, Clim. Change, 105, 179–206, https://doi.org/10.1007/s10584-010-9870-1, 2011. a
Buytaert, W. and Beven, K.: Models as multiple working hypotheses:
hydrological simulation of tropical alpine wetlands, Hydrol. Proc.,
25, 1784–1799, https://doi.org/10.1002/hyp.7936, 2011. a, b, c
Buytaert, W., Célleri, R., De Bièvre, B., Cisneros, F., Wyseure,
G., Deckers, J., and Hofstede, R.: Human impact on the hydrology of the
Andean páramos, Earth-Sci. Rev., 79, 53–72,
https://doi.org/10.1016/j.earscirev.2006.06.002, 2006. a, b, c, d
Caceres, B., Francou, B., Favier, V., Bontron, G., Tachker, P., Bucher, R., Taupin, J.-D.,
Vuille, M., Maisincho, L., and Delachaux, F: Glacier 15, Antisana, Ecuador: its glaciology
and relations to water resources, in: Climate Variability and Change – Hydrological Impacts,
308, IAHS, edited by: Siegfried Demuth, Alan Gustard, Eduardo Planos,
Fred Scatena & Eric Servat., IAHS Publication, 479–482, 2006. a
Carey, M., Molden, O. C., Rasmussen, M. B., Jackson, M., Nolin, A. W., and
Mark, B. G.: Impacts of Glacier Recession and Declining Meltwater on
Mountain Societies, Ann. Am. Assoc. Geogr., 107,
350–359, https://doi.org/10.1080/24694452.2016.1243039, 2017. a, b
Cauvy-Fraunié, S., Condom, T., Rabatel, A., Villacis, M., Jacobsen, D., and Dangles,
O.: Technical Note: Glacial influence in tropical mountain hydrosystems evidenced by
the diurnal cycle in water levels, Hydrol. Earth Syst. Sci., 17, 4803–4816,
https://doi.org/10.5194/hess-17-4803-2013, 2013. a
Chen, J., Knight, R., and Zebker, H. A.: The Temporal and Spatial Variability
of the Confined Aquifer Head and Storage Properties in the San Luis Valley,
Colorado Inferred From Multiple InSAR Missions, Water Resour. Res.,
53, 9708–9720, https://doi.org/10.1002/2017WR020881, 2017. a
Clapperton, C. M.: Glacial and volcanic geomorphology of the
Chimborazo-Carihuairazo Massif, Ecuadorian Andes, T. Roy. Soc. London, 81, 91–116,
https://doi.org/10.1017/S0263593300005174, 1990. a, b
Clow, D., Schrott, L., Webb, R., Campbell, D., Torizzo, A., and Dornblaser, M.:
Ground Water Occurrence and Contributions to Streamflow in an Alpine
Catchment, Colorado Front Range, Ground Water, 41, 937–950,
https://doi.org/10.1111/j.1745-6584.2003.tb02436.x, 2003. a, b, c
Crossman, J., Bradley, C., Boomer, I., and Milner, A. M.: Water Flow Dynamics
of Groundwater-Fed Streams and Their Ecological Significance in a Glacierized
Catchment, Arct. Antarct. Alp. Res., 43, 364–379,
https://doi.org/10.1657/1938-4246-43.3.364, 2011. a
Duffy, C., Shi, Y., Davis, K., Slingerland, R., Li, L., Sullivan, P. L.,
Goddéris, Y., and Brantley, S. L.: Designing a Suite of Models to
Explore Critical Zone Function, Proced. Earth Plan. Sci., 10,
7–15, https://doi.org/10.1016/j.proeps.2014.08.003, 2014. a
Ek, M. B., Mitchell, K. E., Lin, Y., Rogers, E., Grunmann, P., Koren, V.,
Gayno, G., and Tarpley, J. D.: Implementation of Noah land surface model
advances in the National Centers for Environmental Prediction operational
mesoscale Eta model, J. Geophys. Res.-Atmos, 108,
https://doi.org/10.1029/2002JD003296, 2003. a
Engel, M., Penna, D., Bertoldi, G., Dell'Agnese, A., Soulsby, C., and Comiti,
F.: Identifying run-off contributions during melt-induced run-off events in
a glacierized alpine catchment, Hydrol. Proc., 30, 343–364,
https://doi.org/10.1002/hyp.10577, 2016. a
Escher-Vetter, H., Reinwarth, O., and Rentsch, H.: Two decades of runoff
measurements (1974 to 1993) at the pegelstation Vernagtbach/Oetztal alps,
Zeitschrift für Gletscherkunde und Glazialgeologie, 30, 99–107, 1994. a
Farr, T. G., Rosen, P. A., Caro, E., Crippen, R., Duren, R., Hensley, S.,
Kobrick, M., Paller, M., Rodriguez, E., and Roth, L.: The shuttle radar
topography mission, Rev. Geophys., 45, 8755–1209, https://doi.org/10.1029/2005RG000183, 2007. a
Favier, V.: Glaciers of the outer and inner tropics: A different behaviour but
a common response to climatic forcing, Geophys. Res. Lett., 31,
L16403, https://doi.org/10.1029/2004GL020654, 2004. a, b, c
Favier, V., Coudrain, A., Cadier, E., Francou, B., Ayabaca, E., Maisincho, L.,
Praderio, E., Villacis, M., and Wagnon, P.: Evidence of groundwater flow on
Antizana ice-covered volcano, Ecuador/Mise en évidence
d'écoulements souterrains sur le volcan englacé Antizana,
Equateur, Hydrol. Sci. J., 53, 278–291,
https://doi.org/10.1623/hysj.53.1.278, 2008. a, b, c, d
Fountain, A. G. and Tangborn, W. V.: The Effect of Glaciers on Streamflow
Variations, Water Resour. Res., 21, 579–586,
https://doi.org/10.1029/WR021i004p00579, 1985. a
Francou, B.: Tropical climate change recorded by a glacier in the central
Andes during the last decades of the twentieth century: Chacaltaya, Bolivia,
16S, J. Geophys. Res., 108, 4154, https://doi.org/10.1029/2002JD002959,
2003. a
Francou, B.: New evidence for an ENSO impact on low-latitude glaciers:
Antizana 15, Andes of Ecuador, J. Geophys. Res., 109,
D18106, https://doi.org/10.1029/2003JD004484, 2004. a, b
Frenierre, J. L. and Mark, B. G.: A review of methods for estimating the
contribution of glacial meltwater to total watershed discharge, Prog. Phys. Geogr., 38, 173–200, https://doi.org/10.1177/0309133313516161, 2014. a
Frisbee, M. D., Phillips, F. M., Campbell, A. R., Liu, F., and Sanchez, S. A.:
Streamflow generation in a large, alpine watershed in the southern Rocky
Mountains of Colorado: Is streamflow generation simply the aggregation of
hillslope runoff responses?, Water Resour. Res., 47, 1–18,
https://doi.org/10.1029/2010WR009391, 2011. a
Gabbi, J., Carenzo, M., Pellicciotti, F., Bauder, A., and Funk, M.: A
comparison of empirical and physically based glacier surface melt models for
long-term simulations of glacier response, J. Glaciol., 60,
1140–1154, https://doi.org/10.3189/2014JoG14J011, 2014. a
Gordon, R. P., Lautz, L. K., McKenzie, J. M., Mark, B. G., Chavez, D., and
Baraer, M.: Sources and pathways of stream generation in tropical proglacial
valleys of the Cordillera Blanca, Peru, J. Hydrol., 522, 628–644,
https://doi.org/10.1016/j.jhydrol.2015.01.013, 2015. a, b
Harden, D. R.: California geology, Prentice Hall, 2004. a
Harpold, A. A. and Brooks, P. D.: Humidity determines snowpack ablation under
a warming climate, P. Natl. Acad. Sci. USA, 115,
1215–1220, https://doi.org/10.1073/pnas.1716789115, 2018. a, b
Harrington, J. S., Mozil, A., Hayashi, M., and Bentley, L. R.: Groundwater
flow and storage processes in an inactive rock glacier, Hydrol. Proc.,
32, 3070–3088, https://doi.org/10.1002/hyp.13248, 2018. a, b, c, d
He, Z., Vorogushyn, S., Unger-Shayesteh, K., Gafurov, A., Kalashnikova, O.,
Omorova, E., and Merz, B.: The value of hydrograph partitioning curves for
calibrating hydrological models in glacierized basins, Water Resour. Res., 54, 1–52, https://doi.org/10.1002/2017WR021966,
2018. a
Hock, R.: A distributed temperature-index ice- and snowrnelt model including
potential direct solar radiation, J. Glaciol., 45, 101–111, https://doi.org/10.1017/S0022143000003087, 1999. a
Hood, J. L., Roy, J. W., and Hayashi, M.: Importance of groundwater in the
water balance of an alpine headwater lake, Geophys. Res. Lett., 33,
L13405, https://doi.org/10.1029/2006GL026611, 2006. a
Hooper, R. P.: Diagnostic tools for mixing models of stream water chemistry,
Water Resour. Res., 39, 1055, https://doi.org/10.1029/2002WR001528, 2003. a
Hooper, R. P. and Shoemaker, C. A.: A Comparison of Chemical and Isotopic
Hydrograph Separation, Water Resour. Res., 22, 1444–1454,
https://doi.org/10.1029/WR022i010p01444, 1986. a
Huss, M., Bauder, A., Funk, M., and Hock, R.: Determination of the seasonal
mass balance of four Alpine glaciers since 1865, J. Geophys. Res., 113, F01015, https://doi.org/10.1029/2007JF000803, 2008. a
Huss, M., Funk, M., and Ohmura, A.: Strong Alpine glacier melt in the 1940s
due to enhanced solar radiation, Geophys. Res. Lett., 36, L23501,
https://doi.org/10.1029/2009GL040789, 2009. a, b
Huth, A. K., Leydecker, A., Sickman, J. O., and Bales, R. C.: A two-component
hydrograph separation for three high-elevation catchments in the Sierra
Nevada, California, Hydrol. Proc., 18, 1721–1733,
https://doi.org/10.1002/hyp.1414, 2004. a
Immerzeel, W. W., van Beek, L. P. H., and Bierkens, M. F. P.: Climate Change
Will Affect the Asian Water Towers, Science, 328, 1382–1385,
https://doi.org/10.1126/science.1183188, 2010. a
INEC: Cencos de Poblacion y Vivienda 2010, Quito, Ecuador, 2010. a
James, A. L. and Roulet, N. T.: Investigating the applicability of
end-member mixing analysis (EMMA) across scale: A study of eight small,
nested catchments in a temperate forested watershed, Water Resour. Res.,
42, W08434, https://doi.org/10.1029/2005WR004419, 2006. a
Jansson, P., Hock, R., and Schneider, T.: The concept of glacier storage: a
review, J. Hydrol., 282, 116–129,
https://doi.org/10.1016/S0022-1694(03)00258-0, 2003. a
Jordan, E., González, J., Castillo, K., Torres, J., Ungerechts, L.,
Vélez, F., Blanco, D., and Cruz, M.: Ortofotomapa del Chimborazo y su
valor como diagnóstico para cambios climaticos en relacion con otros
glaciares tropicales [Orthophotomap of Chimborazo and its value as a
diagnosis for climatic changes in relation to other tropical glaciers],
Glaciares, Nieves y Hielos de America Latina: Cambio Climatico y Amenazas, 239–260, 2010. a
Juen, I., Kaser, G., and Georges, C.: Modelling observed and future runoff
from a glacierized tropical catchment (Cordillera Blanca, Perú),
Glob. Planet. Change, 59, 37–48,
https://doi.org/10.1016/j.gloplacha.2006.11.038, 2007. a, b
Kaser, G.: A review of the modern fluctuations of tropical glaciers, Glob. Planet. Change, 22,
93–103, https://doi.org/10.1016/S0921-8181(99)00028-4, 1999. a
Kendall, C., Doctor, D., Drever, J., Holland, H., and Turekian, K.: Stable
isotope applications in hydrological studies, Treatise on geochemistry, 5, p. 605, https://doi.org/10.1016/B0-08-043751-6/05081-7,
2003. a
La Frenierre, J.: Rapid downward deflation of a tropical-debris covered
glacier: an analysis from Volcán Chimborazo, Ecuador, in: AGU Fall
Meeting Abstracts, 2016. a
La Frenierre, J. D.: Assessing the Hydrologic Implications of Glacier
Recession and the Potential for Water Resources Vulnerability at Volcán
Chimborazo, Ecuador, PhD diss., The Ohio State University, Prog. Phys. Geog., 255,
2014. a
Lang, H.: Forecasting Meltwater Runoff from Snow-Covered Areas and from
Glacier Basins, in: River flow modelling and forecasting, edited by:
Kraijenhoff, D. A. and Moll, J. R., Springer Netherlands,
Dordrecht, 99–127, https://doi.org/10.1007/978-94-009-4536-4_5, 1986. a, b
Li, L., Bao, C., Sullivan, P. L., Brantley, S., Shi, Y., and Duffy, C.:
Understanding watershed hydrogeochemistry: 2. Synchronized hydrological and
geochemical processes drive stream chemostatic behavior, Water Resour. Res., 53, 2346–2367, 2017. a
Liu, F., Williams, M. W., and Caine, N.: Source waters and flow paths in an
alpine catchment, Colorado Front Range, United States, Water Resour. Res., 40, 1–16, https://doi.org/10.1029/2004WR003076, 2004. a, b
Loheide, S. P., Deitchman, R. S., Cooper, D. J., Wolf, E. C., Hammersmark,
C. T., and Lundquist, J. D.: A framework for understanding the hydroecology
of impacted wet meadows in the Sierra Nevada and Cascade Ranges, California,
USA, Hydrogeol. J., 17, 229–246, https://doi.org/10.1007/s10040-008-0380-4,
2009. a
Lowry, C. S., Deems, J. S., Loheide II, S. P., and Lundquist, J. D.: Linking
snowmelt-derived fluxes and groundwater flow in a high elevation meadow
system, Sierra Nevada Mountains, California, Hydrol. Proc., 24,
2821–2833, https://doi.org/10.1002/hyp.7714, 2010. a, b, c
Lowry, C. S., Loheide, S. P., Moore, C. E., and Lundquist, J. D.: Groundwater
controls on vegetation composition and patterning in mountain meadows,
Water Resour. Res., 47, 1–16, https://doi.org/10.1029/2010WR010086, 2011. a
Luce, C. H.: Effects of Climate Change on Snowpack, Glaciers, and Water
Resources in the Northern Rockies, in: Climate Change and Rocky Mountain
Ecosystems, edited by: Halofsky, J. E. and Peterson, D. L., Springer International Publishing, Cham., 25–36,
https://doi.org/10.1007/978-3-319-56928-4_3, 2018. a
Mackay, A.: Climate Change 2007: Impacts, Adaptation and Vulnerability.
Contribution of Working Group II to the Fourth Assessment Report of the
Intergovernmental Panel on Climate Change, J. Environ. Qual.,
37, 2407, https://doi.org/10.2134/jeq2008.0015br, 2008. a
Manciati, C., Villacís, M., Taupin, J.-D., Cadier, E.,
Galárraga-Sánchez, R., and Cáceres, B.: Empirical mass
balance modelling of South American tropical glaciers: case study of Antisana
volcano, Ecuador, Hydrol. Sci. J., 59, 1519–1535,
https://doi.org/10.1080/02626667.2014.888490, 2014. a
Mark, B. G.: Tracing tropical Andean glaciers over space and time: Some
lessons and transdisciplinary implications, Glob. Planet. Change, 60,
101–114, https://doi.org/10.1016/j.gloplacha.2006.07.032, 2008. a
Mark, B. G. and Mckenzie, J. M.: Tracing Increasing Tropical Andean Glacier
Melt with Stable Isotopes in Water, Environ. Sci. Tech.,
41, 6955–6960, https://doi.org/10.1021/es071099d, 2007. a, b, c, d
Mark, B. G., McKenzie, J. M., and Gómez, J.: Hydrochemical evaluation of
changing glacier meltwater contribution to stream discharge: Callejon de
Huaylas, Peru / Evaluation hydrochimique de la contribution évolutive
de la fonte glaciaire à l'écoulement fluvial: Callejon de
Huaylas, Pérou, Hydrol. Sci. J., 50, 975–988,
https://doi.org/10.1623/hysj.2005.50.6.975, 2005. a
Markovich, K. H., Maxwell, R. M., and Fogg, G. E.: Hydrogeological response to
climate change in alpine hillslopes, Hydrol. Proc., 30, 3126–3138,
https://doi.org/10.1002/hyp.10851, 2016. a, b, c
Maussion, F., Gurgiser, W., Großhauser, M., Kaser, G., and Marzeion, B.: ENSO
influence on surface energy and mass balance at Shallap Glacier, Cordillera Blanca,
Peru, The Cryosphere, 9, 1663–1683, https://doi.org/10.5194/tc-9-1663-2015, 2015. a
Messerli, B., Viviroli, D., and Weingartner, R.: Mountains of the World:
Vulnerable Water Towers for the 21st Century, AMBIO Special Report, 13,
29–34, https://doi.org/10.5167/uzh-110516, 2004. a
Ng, G.-H. C., Wickert, A. D., Somers, L. D., Saberi, L., Cronkite-Ratcliff, C.,
Niswonger, R. G., and McKenzie, J. M.: GSFLOW-GRASS v1.0.0: GIS-enabled hydrologic
modeling of coupled groundwater-surface-water systems, Geosci. Model Dev., 11,
4755–4777, https://doi.org/10.5194/gmd-11-4755-2018, 2018. a
NRCS, U.: Part 630 Hydrology National Engineering Handbook, USDA-NRCS (United States Department
of Agriculture- Natural Resources Conservation Service), 2009. a
Omani, N., Srinivasan, R., Smith, P. K., and Karthikeyan, R.: Glacier mass
balance simulation using SWAT distributed snow algorithm, Hydrol. Sci. J., 62, 546–560, https://doi.org/10.1080/02626667.2016.1162907, 2017. a, b
Ostheimer, G. J., Hadjivasiliou, H., Kloer, D. P., Barkan, A., and Matthews,
B. W.: Structural Analysis of the Group II Intron Splicing Factor CRS2
Yields Insights into its Protein and RNA Interaction Surfaces, J. Molec. Biol., 345, 51–68, https://doi.org/10.1016/j.jmb.2004.10.032, 2005. a
Pellicciotti, F., Brock, B., Strasser, U., Burlando, P., Funk, M., and
Corripio, J.: An enhanced temperature-index glacier melt model including the
shortwave radiation balance: development and testing for Haut Glacier
d'Arolla, Switzerland, J. Glaciol., 51, 573–587, 2005. a
Pepin, N., Bradley, R. S., Diaz, H. F., Baraer, M., Caceres, E. B., Forsythe,
N., Fowler, H., Greenwood, G., Hashmi, M. Z., Liu, X. D., Miller, J. R.,
Ning, L., Ohmura, A., Palazzi, E., Rangwala, I., Schöner, W.,
Severskiy, I., Shahgedanova, M., Wang, M. B., Williamson, S. N., and Yang,
D. Q.: Elevation-dependent warming in mountain regions of the world, Nat. Clim. Change, 5, 424–430, https://doi.org/10.1038/nclimate2563, 2015. a
Podwojewski, P., Poulenard, J., Zambrana, T., and Hofstede, R.: Overgrazing
effects on vegetation cover and properties of volcanic ash soil in the
pàramo of Llangahua and al Esperanza (Tungurahua, Ecuador),
Management, 18, 45–55, https://doi.org/10.1079/SUM2001100, 2002. a, b, c, d
Pohl, E., Knoche, M., Gloaguen, R., Andermann, C., and Krause, P.: Sensitivity analysis and
implications for surface processes from a hydrological modelling approach in the Gunt
catchment, high Pamir Mountains, Earth Surf. Dynam., 3, 333–362,
https://doi.org/10.5194/esurf-3-333-2015, 2015. a, b
Polk, M. H., Young, K. R., Baraer, M., Mark, B. G., McKenzie, J. M., Bury, J.,
and Carey, M.: Exploring hydrologic connections between tropical mountain
wetlands and glacier recession in Peru's Cordillera Blanca, Appl. Geogr., 78, 94–103, https://doi.org/10.1016/j.apgeog.2016.11.004, 2017. a
Pribulick, C. E., Foster, L. M., Bearup, L. A., Navarre-Sitchler, A. K.,
Williams, K. H., Carroll, R. W., and Maxwell, R. M.: Contrasting the
hydrologic response due to land cover and climate change in a mountain
headwaters system, Ecohydrology, 9, 1431–1438, https://doi.org/10.1002/eco.1779,
2016. a
Qu, Y. and Duffy, C. J.: A semidiscrete finite volume formulation for
multiprocess watershed simulation, Water Resour. Res., 43, 1–18,
https://doi.org/10.1029/2006WR005752, 2007. a
Rabatel, A., Francou, B., Soruco, A., Gomez, J., Cáceres, B., Ceballos, J. L.,
Basantes, R., Vuille, M., Sicart, J.-E., Huggel, C., Scheel, M., Lejeune, Y.,
Arnaud, Y., Collet, M., Condom, T., Consoli, G., Favier, V., Jomelli, V.,
Galarraga, R., Ginot, P., Maisincho, L., Mendoza, J., Ménégoz, M., Ramirez, E.,
Ribstein, P., Suarez, W., Villacis, M., and Wagnon, P.: Current state of glaciers
in the tropical Andes: a multi-century perspective on glacier evolution and climate
change, The Cryosphere, 7, 81–102, https://doi.org/10.5194/tc-7-81-2013, 2013. a
Reveillet, M., Vincent, C., Six, D., and Rabatel, A.: Which empirical model is
best suited to simulate glacier mass balances?, J. Glaciol., 63,
39–54, https://doi.org/10.1017/jog.2016.110, 2017. a
Rodell, M., Houser, P. R., Jambor, U. E. A., Gottschalck, J., Mitchell, K.,
Meng, C. J., Arsenault, K., Cosgrove, B., Radakovich, J., and Bosilovich, M.:
The global land data assimilation system, B. Am. Meteorol. Soc., 85, 381–394, 2004. a
Ryu, J.-S., Lee, K.-S., and Chang, H.-W.: Hydrochemistry and isotope
geochemistry of Song Stream, a headwater tributary of the South Han River,
South Korea, Geosci. J., 11, 157–164, https://doi.org/10.1007/BF02913929,
2007. a
Samaniego, P., Barba, D., Robin, C., Fornari, M., and Bernard, B.: Eruptive
history of Chimborazo volcano (Ecuador): A large, ice-capped and hazardous
compound volcano in the Northern Andes, J. Volcanol. Geoth. Res., 221–222, 33–51, https://doi.org/10.1016/j.jvolgeores.2012.01.014,
2012. a
Sarmiento, L.: Water Balance and Soil Loss under Long Fallow Agriculture in
the Venezuelan Andes, Mt. Res. Dev., 20, 246–253, 2000. a
Schmieder, J., Garvelmann, J., Marke, T., and Strasser, U.: Spatio-temporal
tracer variability in the glacier melt end-member – How does it affect
hydrograph separation results?, Hydrol. Proc., 32, 1828–1843, https://doi.org/10.1002/hyp.11628, 2018. a
Shi, Y., Davis, K. J., Duffy, C. J., and Yu, X.: Development of a Coupled Land
Surface Hydrologic Model and Evaluation at a Critical Zone Observatory,
J. Hydrometeorol., 14, 1401–1420, https://doi.org/10.1175/JHM-D-12-0145.1,
2013. a, b, c
Sicart, J. E., Hock, R., and Six, D.: Glacier melt, air temperature, and
energy balance in different climates: The Bolivian Tropics, the French Alps,
and northern Sweden, J. Geophys. Res., 113, D24113,
https://doi.org/10.1029/2008JD010406, 2008. a
Smith, J. A., Mark, B. G., and Rodbell, D. T.: The timing and magnitude of
mountain glaciation in the tropical Andes, J. Quat. Sci.,
23, 609–634, https://doi.org/10.1002/jqs.1224, 2008. a, b
Somers, L. D., Gordon, R. P., McKenzie, J. M., Lautz, L. K., Wigmore, O.,
Glose, A. M., Glas, R., Aubry-Wake, C., Mark, B., Baraer, M., and Condom, T.:
Quantifying groundwater-surface water interactions in a proglacial valley,
Cordillera Blanca, Peru, Hydrol. Proc., 30, 2915–2929,
https://doi.org/10.1002/hyp.10912, 2016. a, b
Soruco, A., Vincent, C., Rabatel, A., Francou, B., Thibert, E., Sicart, J. E.,
and Condom, T.: Contribution of glacier runoff to water resources of La Paz
city, Bolivia (16 ∘S), Ann. Glaciol., 56, 147–154,
https://doi.org/10.3189/2015AoG70A001, 2015. a, b
Soulsby, C., Petry, J., Brewer, M., Dunn, S., Ott, B., and Malcolm, I.:
Identifying and assessing uncertainty in hydrological pathways: a novel
approach to end member mixing in a Scottish agricultural catchment,
J. Hydrol., 274, 109–128, https://doi.org/10.1016/S0022-1694(02)00398-0, 2003. a
Suecker, J. K., Ryan, J. N., Kendall, C., and Jarrett, R. D.: Determination of
hydrologic pathways during snowmelt for alpine/subalpine basins, Rocky
Mountain National Park, Colorado, Water Resour. Res., 36, 63–75,
https://doi.org/10.1029/1999WR900296, 2000. a
Tague, C. and Grant, G. E.: Groundwater dynamics mediate low-flow response to
global warming in snow-dominated alpine regions, Water Resour. Res.,
45, 1–12, https://doi.org/10.1029/2008WR007179, 2009. a, b, c, d
Tague, C., Grant, G., Farrell, M., Choate, J., and Jefferson, A.: Deep
groundwater mediates streamflow response to climate warming in the Oregon
Cascades, Clim. Change, 86, 189–210, https://doi.org/10.1007/s10584-007-9294-8,
2008. a, b, c
Veettil, B. K., Leandro Bayer Maier, E., Bremer, U. F., and de Souza, S. F.:
Combined influence of PDO and ENSO on northern Andean glaciers: a case study
on the Cotopaxi ice-covered volcano, Ecuador, Clim. Dynam., 43,
3439–3448, https://doi.org/10.1007/s00382-014-2114-8, 2014a. a
Veettil, B. K., Maier, E. L. B., Bremer, U. F., and de Souza, S. F.: Combined
influence of PDO and ENSO on northern Andean glaciers: a case study on the
Cotopaxi ice-covered volcano, Ecuador, Clim. Dynam., 43, 3439–3448,
2014b. a
Veettil, B. K., Bremer, U. F., de Souza, S. F., Maier, E. L. B., and Simões,
J. C.: Influence of ENSO and PDO on mountain glaciers in the outer tropics:
case studies in Bolivia, Theor. Appl. Climatol., 125, 757–768,
https://doi.org/10.1007/s00704-015-1545-4, 2016. a
Vermote, E.: MOD09A1 MODIS/Terra Surface Reflectance 8-Day L3 Global 500 m SIN
Grid V006, NASA EOSDIS Land Processes DAAC, 2015. a
Vuille, M. and Bradley, R. S.: The tropical Andes, Geophys. Res. Lett., 27, 3885–3888, 2000. a
Vuille, M. and Keimig, F.: Interannual Variability of Summertime Convective
Cloudiness and Precipitation in the Central Andes Derived from ISCCP-B3
Data, J. Climate, 17, 3334–3348,
https://doi.org/10.1175/1520-0442(2004)017<3334:IVOSCC>2.0.CO;2, 2004. a, b
Vuille, M., Bradley, R. S., Werner, M., and Keimig, F.: 20th Century Climate
Change in the Tropical Andes: Observations and Model Results, in: Climate
variability and change in high elevation regions: Past, Present & Future, Springer, 59, 75–99, 2003. a
Vuille, M., Francou, B., Wagnon, P., Juen, I., Kaser, G., Mark, B. G., and
Bradley, R. S.: Climate change and tropical Andean glaciers: Past, present
and future, Earth-Sci. Rev., 89, 79–96,
https://doi.org/10.1016/j.earscirev.2008.04.002, 2008. a
Vuille, M., Carey, M., Huggel, C., Buytaert, W., Rabatel, A., Jacobsen, D.,
Soruco, A., Villacis, M., Yarleque, C., Elison Timm, O., Condom, T.,
Salzmann, N., and Sicart, J.-E.: Rapid decline of snow and ice in the
tropical Andes – Impacts, uncertainties and challenges ahead,
Earth-Sci. Rev., 176, 195–213, https://doi.org/10.1016/j.earscirev.2017.09.019,
2018. a
Wang, X., Sun, L., Zhang, Y., and Luo, Y.: Rationalization of Altitudinal
Precipitation Profiles in a Data-Scarce Glacierized Watershed Simulation in
the Karakoram, Water, 8, 186, https://doi.org/10.3390/w8050186, 2016. a
Wickert, A. D.: The ALog: Inexpensive, Open-Source, Automated Data
Collection in the Field, The Bulletin of the Ecological Society of America,
95, 166–176, 2014. a
Wickert, A. D., Sandell, C. T., Schulz, B., and Ng, G.-H. C.: Open-source Arduino-derived data
loggers designed for field research, Hydrol. Earth Syst. Sci. Discuss.,
https://doi.org/10.5194/hess-2018-591, in review, 2018. a
Wilson, A. M., Williams, M. W., Kayastha, R. B., and Racoviteanu, A.: Use of a
hydrologic mixing model to examine the roles of meltwater, precipitation and
groundwater in the Langtang River basin, Nepal, Ann. Glaciol., 57,
155–168, https://doi.org/10.3189/2016AoG71A067, 2016. a
Wosten, J. H. M., Lilly, A., Nemes, A., and Le Bas, C.: Development and use of
a database of hydraulic properties of European soils, Geoderma, 90,
169–185, 1999. a
Zhang, Y., Slingerland, R., and Duffy, C.: Fully-coupled hydrologic processes
for modeling landscape evolution, Environ. Modell. Softw., 82,
89–107, 2016. a
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Short summary
The relationship among glacier melt, groundwater, and streamflow remains highly uncertain, especially in tropical glacierized watersheds in response to climate. We implemented a multi-method approach and found that melt contribution varies considerably and may drive streamflow variability at hourly to multi-year timescales, rather than buffer it, as commonly thought. Some of the melt contribution occurs through groundwater pathways, resulting in longer timescale interactions with streamflow.
The relationship among glacier melt, groundwater, and streamflow remains highly uncertain,...
