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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Andrew D. Wickert and Taylor F. Schildgen
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G.-H. Crystal Ng, Andrew D. Wickert, Lauren D. Somers, Leila Saberi, Collin Cronkite-Ratcliff, Richard G. Niswonger, and Jeffrey M. McKenzie
Geosci. Model Dev., 11, 4755–4777, https://doi.org/10.5194/gmd-11-4755-2018, https://doi.org/10.5194/gmd-11-4755-2018, 2018
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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.
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Learning Landscape Features from Streamflow with Autoencoders
Seasonal prediction of end-of-dry-season watershed behavior in a highly interconnected alluvial watershed in northern California
Glaciers determine the sensitivity of hydrological processes to perturbed climate in a large mountainous basin on the Tibetan Plateau
Leveraging gauge networks and strategic discharge measurements to aid the development of continuous streamflow records
On the need for physical constraints in deep learning rainfall–runoff projections under climate change: a sensitivity analysis to warming and shifts in potential evapotranspiration
Evaluation of hydrological models on small mountainous catchments: impact of the meteorological forcings
Projecting sediment export from two highly glacierized alpine catchments under climate change: exploring non-parametric regression as an analysis tool
Improving the internal hydrological consistency of a process-based solute-transport model by simultaneous calibration of streamflow and stream concentrations
Robert Hull, Elena Leonarduzzi, Luis De La Fuente, Hoang Viet Tran, Andrew Bennett, Peter Melchior, Reed M. Maxwell, and Laura E. Condon
Hydrol. Earth Syst. Sci., 28, 4685–4713, https://doi.org/10.5194/hess-28-4685-2024, https://doi.org/10.5194/hess-28-4685-2024, 2024
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Large-scale hydrologic simulators are a needed tool to explore complex watershed processes and how they may evolve with a changing climate. However, calibrating them can be difficult because they are costly to run and have many unknown parameters. We implement a state-of-the-art approach to model calibration using neural networks with a set of experiments based on streamflow in the upper Colorado River basin.
Jari-Pekka Nousu, Kersti Leppä, Hannu Marttila, Pertti Ala-aho, Giulia Mazzotti, Terhikki Manninen, Mika Korkiakoski, Mika Aurela, Annalea Lohila, and Samuli Launiainen
Hydrol. Earth Syst. Sci., 28, 4643–4666, https://doi.org/10.5194/hess-28-4643-2024, https://doi.org/10.5194/hess-28-4643-2024, 2024
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We used hydrological models, field measurements, and satellite-based data to study the soil moisture dynamics in a subarctic catchment. The role of groundwater was studied with different ways to model the groundwater dynamics and via comparisons to the observational data. The choice of groundwater model was shown to have a strong impact, and representation of lateral flow was important to capture wet soil conditions. Our results provide insights for ecohydrological studies in boreal regions.
Nienke Tempel, Laurène Bouaziz, Riccardo Taormina, Ellis van Noppen, Jasper Stam, Eric Sprokkereef, and Markus Hrachowitz
Hydrol. Earth Syst. Sci., 28, 4577–4597, https://doi.org/10.5194/hess-28-4577-2024, https://doi.org/10.5194/hess-28-4577-2024, 2024
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This study explores the impact of climatic variability on root zone water storage capacities and, thus, on hydrological predictions. Analysing data from 286 areas in Europe and the US, we found that, despite some variations in root zone storage capacity due to changing climatic conditions over multiple decades, these changes are generally minor and have a limited effect on water storage and river flow predictions.
Bu Li, Ting Sun, Fuqiang Tian, Mahmut Tudaji, Li Qin, and Guangheng Ni
Hydrol. Earth Syst. Sci., 28, 4521–4538, https://doi.org/10.5194/hess-28-4521-2024, https://doi.org/10.5194/hess-28-4521-2024, 2024
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This paper developed hybrid semi-distributed hydrological models by employing a process-based model as the backbone and utilizing deep learning to parameterize and replace internal modules. The main contribution is to provide a high-performance tool enriched with explicit hydrological knowledge for hydrological prediction and to improve understanding about the hydrological sensitivities to climate change in large alpine basins.
Dan Elhanati, Nadine Goeppert, and Brian Berkowitz
Hydrol. Earth Syst. Sci., 28, 4239–4249, https://doi.org/10.5194/hess-28-4239-2024, https://doi.org/10.5194/hess-28-4239-2024, 2024
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A continuous time random walk framework was developed to allow modeling of a karst aquifer discharge response to measured rainfall. The application of the numerical model yielded robust fits between modeled and measured discharge values, especially for the distinctive long tails found during recession times. The findings shed light on the interplay of slow and fast flow in the karst system and establish the application of the model for simulating flow and transport in such systems.
Frederik Kratzert, Martin Gauch, Daniel Klotz, and Grey Nearing
Hydrol. Earth Syst. Sci., 28, 4187–4201, https://doi.org/10.5194/hess-28-4187-2024, https://doi.org/10.5194/hess-28-4187-2024, 2024
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Recently, a special type of neural-network architecture became increasingly popular in hydrology literature. However, in most applications, this model was applied as a one-to-one replacement for hydrology models without adapting or rethinking the experimental setup. In this opinion paper, we show how this is almost always a bad decision and how using these kinds of models requires the use of large-sample hydrology data sets.
Franziska Clerc-Schwarzenbach, Giovanni Selleri, Mattia Neri, Elena Toth, Ilja van Meerveld, and Jan Seibert
Hydrol. Earth Syst. Sci., 28, 4219–4237, https://doi.org/10.5194/hess-28-4219-2024, https://doi.org/10.5194/hess-28-4219-2024, 2024
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We show that the differences between the forcing data included in three CAMELS datasets (US, BR, GB) and the forcing data included for the same catchments in the Caravan dataset affect model calibration considerably. The model performance dropped when the data from the Caravan dataset were used instead of the original data. Most of the model performance drop could be attributed to the differences in precipitation data. However, differences were largest for the potential evapotranspiration data.
Ying Zhao, Mehdi Rahmati, Harry Vereecken, and Dani Or
Hydrol. Earth Syst. Sci., 28, 4059–4063, https://doi.org/10.5194/hess-28-4059-2024, https://doi.org/10.5194/hess-28-4059-2024, 2024
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Gao et al. (2023) question the importance of soil in hydrology, sparking debate. We acknowledge some valid points but critique their broad, unsubstantiated views on soil's role. Our response highlights three key areas: (1) the false divide between ecosystem-centric and soil-centric approaches, (2) the vital yet varied impact of soil properties, and (3) the call for a scale-aware framework. We aim to unify these perspectives, enhancing hydrology's comprehensive understanding.
Siyuan Wang, Markus Hrachowitz, and Gerrit Schoups
Hydrol. Earth Syst. Sci., 28, 4011–4033, https://doi.org/10.5194/hess-28-4011-2024, https://doi.org/10.5194/hess-28-4011-2024, 2024
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Root zone storage capacity (Sumax) changes significantly over multiple decades, reflecting vegetation adaptation to climatic variability. However, this temporal evolution of Sumax cannot explain long-term fluctuations in the partitioning of water fluxes as expressed by deviations ΔIE from the parametric Budyko curve over time with different climatic conditions, and it does not have any significant effects on shorter-term hydrological response characteristics of the upper Neckar catchment.
Zehua Chang, Hongkai Gao, Leilei Yong, Kang Wang, Rensheng Chen, Chuntan Han, Otgonbayar Demberel, Batsuren Dorjsuren, Shugui Hou, and Zheng Duan
Hydrol. Earth Syst. Sci., 28, 3897–3917, https://doi.org/10.5194/hess-28-3897-2024, https://doi.org/10.5194/hess-28-3897-2024, 2024
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An integrated cryospheric–hydrologic model, FLEX-Cryo, was developed that considers glaciers, snow cover, and frozen soil and their dynamic impacts on hydrology. We utilized it to simulate future changes in cryosphere and hydrology in the Hulu catchment. Our projections showed the two glaciers will melt completely around 2050, snow cover will reduce, and permafrost will degrade. For hydrology, runoff will decrease after the glacier has melted, and permafrost degradation will increase baseflow.
Henry M. Zimba, Miriam Coenders-Gerrits, Kawawa E. Banda, Petra Hulsman, Nick van de Giesen, Imasiku A. Nyambe, and Hubert H. G. Savenije
Hydrol. Earth Syst. Sci., 28, 3633–3663, https://doi.org/10.5194/hess-28-3633-2024, https://doi.org/10.5194/hess-28-3633-2024, 2024
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The fall and flushing of new leaves in the miombo woodlands co-occur in the dry season before the commencement of seasonal rainfall. The miombo species are also said to have access to soil moisture in deep soils, including groundwater in the dry season. Satellite-based evaporation estimates, temporal trends, and magnitudes differ the most in the dry season, most likely due to inadequate understanding and representation of the highlighted miombo species attributes in simulations.
Louise Akemi Kuana, Arlan Scortegagna Almeida, Emílio Graciliano Ferreira Mercuri, and Steffen Manfred Noe
Hydrol. Earth Syst. Sci., 28, 3367–3390, https://doi.org/10.5194/hess-28-3367-2024, https://doi.org/10.5194/hess-28-3367-2024, 2024
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The authors compared regionalization methods for river flow prediction in 126 catchments from the south of Brazil, a region with humid subtropical and hot temperate climate. The regionalization method based on physiographic–climatic similarity had the best performance for predicting daily and Q95 reference flow. We showed that basins without flow monitoring can have a good approximation of streamflow using machine learning and physiographic–climatic information as inputs.
Huy Dang and Yadu Pokhrel
Hydrol. Earth Syst. Sci., 28, 3347–3365, https://doi.org/10.5194/hess-28-3347-2024, https://doi.org/10.5194/hess-28-3347-2024, 2024
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By examining basin-wide simulations of a river regime over 83 years with and without dams, we present evidence that climate variation was a key driver of hydrologic variabilities in the Mekong River basin (MRB) over the long term; however, dams have largely altered the seasonality of the Mekong’s flow regime and annual flooding patterns in major downstream areas in recent years. These findings could help us rethink the planning of future dams and water resource management in the MRB.
Yongshin Lee, Francesca Pianosi, Andres Peñuela, and Miguel Angel Rico-Ramirez
Hydrol. Earth Syst. Sci., 28, 3261–3279, https://doi.org/10.5194/hess-28-3261-2024, https://doi.org/10.5194/hess-28-3261-2024, 2024
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Following recent advancements in weather prediction technology, we explored how seasonal weather forecasts (1 or more months ahead) could benefit practical water management in South Korea. Our findings highlight that using seasonal weather forecasts for predicting flow patterns 1 to 3 months ahead is effective, especially during dry years. This suggest that seasonal weather forecasts can be helpful in improving the management of water resources.
Mariam Khanam, Giulia Sofia, and Emmanouil N. Anagnostou
Hydrol. Earth Syst. Sci., 28, 3161–3190, https://doi.org/10.5194/hess-28-3161-2024, https://doi.org/10.5194/hess-28-3161-2024, 2024
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Flooding worsens due to climate change, with river dynamics being a key in local flood control. Predicting post-storm geomorphic changes is challenging. Using self-organizing maps and machine learning, this study forecasts post-storm alterations in stage–discharge relationships across 3101 US stream gages. The provided framework can aid in updating hazard assessments by identifying rivers prone to change, integrating channel adjustments into flood hazard assessment.
Yalan Song, Wouter J. M. Knoben, Martyn P. Clark, Dapeng Feng, Kathryn Lawson, Kamlesh Sawadekar, and Chaopeng Shen
Hydrol. Earth Syst. Sci., 28, 3051–3077, https://doi.org/10.5194/hess-28-3051-2024, https://doi.org/10.5194/hess-28-3051-2024, 2024
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Differentiable models (DMs) integrate neural networks and physical equations for accuracy, interpretability, and knowledge discovery. We developed an adjoint-based DM for ordinary differential equations (ODEs) for hydrological modeling, reducing distorted fluxes and physical parameters from errors in models that use explicit and operation-splitting schemes. With a better numerical scheme and improved structure, the adjoint-based DM matches or surpasses long short-term memory (LSTM) performance.
Florian Willkofer, Raul R. Wood, and Ralf Ludwig
Hydrol. Earth Syst. Sci., 28, 2969–2989, https://doi.org/10.5194/hess-28-2969-2024, https://doi.org/10.5194/hess-28-2969-2024, 2024
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Severe flood events pose a threat to riverine areas, yet robust estimates of the dynamics of these events in the future due to climate change are rarely available. Hence, this study uses data from a regional climate model, SMILE, to drive a high-resolution hydrological model for 98 catchments of hydrological Bavaria and exploits the large database to derive robust values for the 100-year flood events. Results indicate an increase in frequency and intensity for most catchments in the future.
Maik Renner and Corina Hauffe
Hydrol. Earth Syst. Sci., 28, 2849–2869, https://doi.org/10.5194/hess-28-2849-2024, https://doi.org/10.5194/hess-28-2849-2024, 2024
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Climate and land surface changes influence the partitioning of water balance components decisively. Their impact is quantified for 71 catchments in Saxony. Germany. Distinct signatures in the joint water and energy budgets are found: (i) past forest dieback caused a decrease in and subsequent recovery of evapotranspiration in the affected regions, and (ii) the recent shift towards higher aridity imposed a large decline in runoff that has not been seen in the observation records before.
Zhen Cui, Shenglian Guo, Hua Chen, Dedi Liu, Yanlai Zhou, and Chong-Yu Xu
Hydrol. Earth Syst. Sci., 28, 2809–2829, https://doi.org/10.5194/hess-28-2809-2024, https://doi.org/10.5194/hess-28-2809-2024, 2024
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Ensemble forecasting facilitates reliable flood forecasting and warning. This study couples the copula-based hydrologic uncertainty processor (CHUP) with Bayesian model averaging (BMA) and proposes the novel CHUP-BMA method of reducing inflow forecasting uncertainty of the Three Gorges Reservoir. The CHUP-BMA avoids the normal distribution assumption in the HUP-BMA and considers the constraint of initial conditions, which can improve the deterministic and probabilistic forecast performance.
Mazda Kompanizare, Diogo Costa, Merrin L. Macrae, John W. Pomeroy, and Richard M. Petrone
Hydrol. Earth Syst. Sci., 28, 2785–2807, https://doi.org/10.5194/hess-28-2785-2024, https://doi.org/10.5194/hess-28-2785-2024, 2024
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A new agricultural tile drainage module was developed in the Cold Region Hydrological Model platform. Tile flow and water levels are simulated by considering the effect of capillary fringe thickness, drainable water and seasonal regional groundwater dynamics. The model was applied to a small well-instrumented farm in southern Ontario, Canada, where there are concerns about the impacts of agricultural drainage into Lake Erie.
Eduardo Acuña Espinoza, Ralf Loritz, Manuel Álvarez Chaves, Nicole Bäuerle, and Uwe Ehret
Hydrol. Earth Syst. Sci., 28, 2705–2719, https://doi.org/10.5194/hess-28-2705-2024, https://doi.org/10.5194/hess-28-2705-2024, 2024
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Hydrological hybrid models promise to merge the performance of deep learning methods with the interpretability of process-based models. One hybrid approach is the dynamic parameterization of conceptual models using long short-term memory (LSTM) networks. We explored this method to evaluate the effect of the flexibility given by LSTMs on the process-based part.
Adam Griffin, Alison L. Kay, Paul Sayers, Victoria Bell, Elizabeth Stewart, and Sam Carr
Hydrol. Earth Syst. Sci., 28, 2635–2650, https://doi.org/10.5194/hess-28-2635-2024, https://doi.org/10.5194/hess-28-2635-2024, 2024
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Widespread flooding is a major problem in the UK and is greatly affected by climate change and land-use change. To look at how widespread flooding changes in the future, climate model data (UKCP18) were used with a hydrological model (Grid-to-Grid) across the UK, and 14 400 events were identified between two time slices: 1980–2010 and 2050–2080. There was a strong increase in the number of winter events in the future time slice and in the peak return periods.
Alberto Montanari, Bruno Merz, and Günter Blöschl
Hydrol. Earth Syst. Sci., 28, 2603–2615, https://doi.org/10.5194/hess-28-2603-2024, https://doi.org/10.5194/hess-28-2603-2024, 2024
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Floods often take communities by surprise, as they are often considered virtually
impossibleyet are an ever-present threat similar to the sword suspended over the head of Damocles in the classical Greek anecdote. We discuss four reasons why extremely large floods carry a risk that is often larger than expected. We provide suggestions for managing the risk of megafloods by calling for a creative exploration of hazard scenarios and communicating the unknown corners of the reality of floods.
Peter Reichert, Kai Ma, Marvin Höge, Fabrizio Fenicia, Marco Baity-Jesi, Dapeng Feng, and Chaopeng Shen
Hydrol. Earth Syst. Sci., 28, 2505–2529, https://doi.org/10.5194/hess-28-2505-2024, https://doi.org/10.5194/hess-28-2505-2024, 2024
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We compared the predicted change in catchment outlet discharge to precipitation and temperature change for conceptual and machine learning hydrological models. We found that machine learning models, despite providing excellent fit and prediction capabilities, can be unreliable regarding the prediction of the effect of temperature change for low-elevation catchments. This indicates the need for caution when applying them for the prediction of the effect of climate change.
Nicolás Álamos, Camila Alvarez-Garreton, Ariel Muñoz, and Álvaro González-Reyes
Hydrol. Earth Syst. Sci., 28, 2483–2503, https://doi.org/10.5194/hess-28-2483-2024, https://doi.org/10.5194/hess-28-2483-2024, 2024
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In this study, we assess the effects of climate and water use on streamflow reductions and drought intensification during the last 3 decades in central Chile. We address this by contrasting streamflow observations with near-natural streamflow simulations. We conclude that while the lack of precipitation dominates streamflow reductions in the megadrought, water uses have not diminished during this time, causing a worsening of the hydrological drought conditions and maladaptation conditions.
Fengjing Liu, Martha H. Conklin, and Glenn D. Shaw
Hydrol. Earth Syst. Sci., 28, 2239–2258, https://doi.org/10.5194/hess-28-2239-2024, https://doi.org/10.5194/hess-28-2239-2024, 2024
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Mountain snowpack has been declining and more precipitation falls as rain than snow. Using stable isotopes, we found flows and flow duration in Yosemite Creek are most sensitive to climate warming due to strong evaporation of waterfalls, potentially lengthening the dry-up period of waterfalls in summer and negatively affecting tourism. Groundwater recharge in Yosemite Valley is primarily from the upper snow–rain transition (2000–2500 m) and very vulnerable to a reduction in the snow–rain ratio.
Léonard Santos, Vazken Andréassian, Torben O. Sonnenborg, Göran Lindström, Alban de Lavenne, Charles Perrin, Lila Collet, and Guillaume Thirel
Hydrol. Earth Syst. Sci. Discuss., https://doi.org/10.5194/hess-2024-80, https://doi.org/10.5194/hess-2024-80, 2024
Revised manuscript accepted for HESS
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This work aims at investigating how hydrological models can be transferred to a period in which climatic conditions are different to the ones of the period in which it was set up. The RAT method, built to detect dependencies between model error and climatic drivers, was applied to 3 different hydrological models on 352 catchments in Denmark, France and Sweden. Potential issues are detected for a significant number of catchments for the 3 models even though these catchments differ for each model.
Fabian Merk, Timo Schaffhauser, Faizan Anwar, Ye Tuo, Jean-Martial Cohard, and Markus Disse
Hydrol. Earth Syst. Sci. Discuss., https://doi.org/10.5194/hess-2024-131, https://doi.org/10.5194/hess-2024-131, 2024
Revised manuscript accepted for HESS
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ET is computed from vegetation (plant transpiration) and soil (soil evaporation). In Western Africa, plant transpiration correlates with vegetation growth. Vegetation is often represented with the leaf-area-index (LAI). In this study, we evaluate the importance of LAI for the ET calculation. We take a close look at the LAI-ET interaction and show the relevance to consider both, LAI and ET. Our work contributes to the understanding of the processes of the terrestrial water cycle.
Qiutong Yu, Bryan A. Tolson, Hongren Shen, Ming Han, Juliane Mai, and Jimmy Lin
Hydrol. Earth Syst. Sci., 28, 2107–2122, https://doi.org/10.5194/hess-28-2107-2024, https://doi.org/10.5194/hess-28-2107-2024, 2024
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It is challenging to incorporate input variables' spatial distribution information when implementing long short-term memory (LSTM) models for streamflow prediction. This work presents a novel hybrid modelling approach to predict streamflow while accounting for spatial variability. We evaluated the performance against lumped LSTM predictions in 224 basins across the Great Lakes region in North America. This approach shows promise for predicting streamflow in large, ungauged basin.
Marcus Buechel, Louise Slater, and Simon Dadson
Hydrol. Earth Syst. Sci., 28, 2081–2105, https://doi.org/10.5194/hess-28-2081-2024, https://doi.org/10.5194/hess-28-2081-2024, 2024
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Afforestation has been proposed internationally, but the hydrological implications of such large increases in the spatial extent of woodland are not fully understood. In this study, we use a land surface model to simulate hydrology across Great Britain with realistic afforestation scenarios and potential climate changes. Countrywide afforestation minimally influences hydrology, when compared to climate change, and reduces low streamflow whilst not lowering the highest flows.
Qian Zhu, Xiaodong Qin, Dongyang Zhou, Tiantian Yang, and Xinyi Song
Hydrol. Earth Syst. Sci., 28, 1665–1686, https://doi.org/10.5194/hess-28-1665-2024, https://doi.org/10.5194/hess-28-1665-2024, 2024
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Input data, model and calibration strategy can affect the accuracy of flood event simulation and prediction. Satellite-based precipitation with different spatiotemporal resolutions is an important input source. Data-driven models are sometimes proven to be more accurate than hydrological models. Event-based calibration and conventional strategy are two options adopted for flood simulation. This study targets the three concerns for accurate flood event simulation and prediction.
Fabio Ciulla and Charuleka Varadharajan
Hydrol. Earth Syst. Sci., 28, 1617–1651, https://doi.org/10.5194/hess-28-1617-2024, https://doi.org/10.5194/hess-28-1617-2024, 2024
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We present a new method based on network science for unsupervised classification of large datasets and apply it to classify 9067 US catchments and 274 biophysical traits at multiple scales. We find that our trait-based approach produces catchment classes with distinct streamflow behavior and that spatial patterns emerge amongst pristine and human-impacted catchments. This method can be widely used beyond hydrology to identify patterns, reduce trait redundancy, and select representative sites.
Cyril Thébault, Charles Perrin, Vazken Andréassian, Guillaume Thirel, Sébastien Legrand, and Olivier Delaigue
Hydrol. Earth Syst. Sci., 28, 1539–1566, https://doi.org/10.5194/hess-28-1539-2024, https://doi.org/10.5194/hess-28-1539-2024, 2024
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Streamflow forecasting is useful for many applications, ranging from population safety (e.g. floods) to water resource management (e.g. agriculture or hydropower). To this end, hydrological models must be optimized. However, a model is inherently wrong. This study aims to analyse the contribution of a multi-model approach within a variable spatial framework to improve streamflow simulations. The underlying idea is to take advantage of the strength of each modelling framework tested.
Lele Shu, Xiaodong Li, Yan Chang, Xianhong Meng, Hao Chen, Yuan Qi, Hongwei Wang, Zhaoguo Li, and Shihua Lyu
Hydrol. Earth Syst. Sci., 28, 1477–1491, https://doi.org/10.5194/hess-28-1477-2024, https://doi.org/10.5194/hess-28-1477-2024, 2024
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We developed a new model to better understand how water moves in a lake basin. Our model improves upon previous methods by accurately capturing the complexity of water movement, both on the surface and subsurface. Our model, tested using data from China's Qinghai Lake, accurately replicates complex water movements and identifies contributing factors of the lake's water balance. The findings provide a robust tool for predicting hydrological processes, aiding water resource planning.
Ricardo Mantilla, Morgan Fonley, and Nicolás Velásquez
Hydrol. Earth Syst. Sci., 28, 1373–1382, https://doi.org/10.5194/hess-28-1373-2024, https://doi.org/10.5194/hess-28-1373-2024, 2024
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Hydrologists strive to “Be right for the right reasons” when modeling the hydrologic cycle; however, the datasets available to validate hydrological models are sparse, and in many cases, they comprise streamflow observations at the outlets of large catchments. In this work, we show that matching streamflow observations at the outlet of a large basin is not a reliable indicator of a correct description of the small-scale runoff processes.
Lillian M. McGill, E. Ashley Steel, and Aimee H. Fullerton
Hydrol. Earth Syst. Sci., 28, 1351–1371, https://doi.org/10.5194/hess-28-1351-2024, https://doi.org/10.5194/hess-28-1351-2024, 2024
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This study examines the relationship between air and river temperatures in Washington's Snoqualmie and Wenatchee basins. We used classification and regression approaches to show that the sensitivity of river temperature to air temperature is variable across basins and controlled largely by geology and snowmelt. Findings can be used to inform strategies for river basin restoration and conservation, such as identifying climate-insensitive areas of the basin that should be preserved and protected.
Stephanie R. Clark, Julien Lerat, Jean-Michel Perraud, and Peter Fitch
Hydrol. Earth Syst. Sci., 28, 1191–1213, https://doi.org/10.5194/hess-28-1191-2024, https://doi.org/10.5194/hess-28-1191-2024, 2024
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To determine if deep learning models are in general a viable alternative to traditional hydrologic modelling techniques in Australian catchments, a comparison of river–runoff predictions is made between traditional conceptual models and deep learning models in almost 500 catchments spread over the continent. It is found that the deep learning models match or outperform the traditional models in over two-thirds of the river catchments, indicating feasibility in a wide variety of conditions.
Patricio Yeste, Matilde García-Valdecasas Ojeda, Sonia R. Gámiz-Fortis, Yolanda Castro-Díez, Axel Bronstert, and María Jesús Esteban-Parra
Hydrol. Earth Syst. Sci. Discuss., https://doi.org/10.5194/hess-2024-57, https://doi.org/10.5194/hess-2024-57, 2024
Revised manuscript accepted for HESS
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Integrating streamflow and evaporation data can help improve the physical realism of hydrologic models. In this work we investigate the capabilities of the Variable Infiltration Capacity (VIC) to reproduce both hydrologic variables for 189 headwater located in Spain. Results from sensitivity analysis indicate that adding two vegetation is enough to improve the representation of evaporation, and the performance of VIC exceeded that of the largest modelling effort currently available in Spain.
Dipti Tiwari, Mélanie Trudel, and Robert Leconte
Hydrol. Earth Syst. Sci., 28, 1127–1146, https://doi.org/10.5194/hess-28-1127-2024, https://doi.org/10.5194/hess-28-1127-2024, 2024
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Calibrating hydrological models with multi-objective functions enhances model robustness. By using spatially distributed snow information in the calibration, the model performance can be enhanced without compromising the outputs. In this study the HYDROTEL model was calibrated in seven different experiments, incorporating the SPAEF (spatial efficiency) metric alongside Nash–Sutcliffe efficiency (NSE) and root-mean-square error (RMSE), with the aim of identifying the optimal calibration strategy.
Luis Andres De la Fuente, Mohammad Reza Ehsani, Hoshin Vijai Gupta, and Laura Elizabeth Condon
Hydrol. Earth Syst. Sci., 28, 945–971, https://doi.org/10.5194/hess-28-945-2024, https://doi.org/10.5194/hess-28-945-2024, 2024
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Long short-term memory (LSTM) is a widely used machine-learning model in hydrology, but it is difficult to extract knowledge from it. We propose HydroLSTM, which represents processes like a hydrological reservoir. Models based on HydroLSTM perform similarly to LSTM while requiring fewer cell states. The learned parameters are informative about the dominant hydrology of a catchment. Our results show how parsimony and hydrological knowledge extraction can be achieved by using the new structure.
Louise Mimeau, Annika Künne, Flora Branger, Sven Kralisch, Alexandre Devers, and Jean-Philippe Vidal
Hydrol. Earth Syst. Sci., 28, 851–871, https://doi.org/10.5194/hess-28-851-2024, https://doi.org/10.5194/hess-28-851-2024, 2024
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Modelling flow intermittence is essential for predicting the future evolution of drying in river networks and better understanding the ecological and socio-economic impacts. However, modelling flow intermittence is challenging, and observed data on temporary rivers are scarce. This study presents a new modelling approach for predicting flow intermittence in river networks and shows that combining different sources of observed data reduces the model uncertainty.
Elena Macdonald, Bruno Merz, Björn Guse, Viet Dung Nguyen, Xiaoxiang Guan, and Sergiy Vorogushyn
Hydrol. Earth Syst. Sci., 28, 833–850, https://doi.org/10.5194/hess-28-833-2024, https://doi.org/10.5194/hess-28-833-2024, 2024
Short summary
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In some rivers, the occurrence of extreme flood events is more likely than in other rivers – they have heavy-tailed distributions. We find that threshold processes in the runoff generation lead to such a relatively high occurrence probability of extremes. Further, we find that beyond a certain return period, i.e. for rare events, rainfall is often the dominant control compared to runoff generation. Our results can help to improve the estimation of the occurrence probability of extreme floods.
Alberto Bassi, Marvin Höge, Antonietta Mira, Fabrizio Fenicia, and Carlo Albert
Hydrol. Earth Syst. Sci. Discuss., https://doi.org/10.5194/hess-2024-47, https://doi.org/10.5194/hess-2024-47, 2024
Revised manuscript accepted for HESS
Short summary
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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 needed for challenging cases, associated with aridity and intermittent flow. Baseflow index, aridity, and soil/vegetation attributes strongly correlate with learned features, indicating their importance for streamflow prediction.
Claire Kouba and Thomas Harter
Hydrol. Earth Syst. Sci., 28, 691–718, https://doi.org/10.5194/hess-28-691-2024, https://doi.org/10.5194/hess-28-691-2024, 2024
Short summary
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In some watersheds, the severity of the dry season has a large impact on aquatic ecosystems. In this study, we design a way to predict, 5–6 months in advance, how severe the dry season will be in a rural watershed in northern California. This early warning can support seasonal adaptive management. To predict these two values, we assess data about snow, rain, groundwater, and river flows. We find that maximum snowpack and total wet season rainfall best predict dry season severity.
Yi Nan and Fuqiang Tian
Hydrol. Earth Syst. Sci., 28, 669–689, https://doi.org/10.5194/hess-28-669-2024, https://doi.org/10.5194/hess-28-669-2024, 2024
Short summary
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This paper utilized a tracer-aided model validated by multiple datasets in a large mountainous basin on the Tibetan Plateau to analyze hydrological sensitivity to climate change. The spatial pattern of the local hydrological sensitivities and the influence factors were analyzed in particular. The main finding of this paper is that the local hydrological sensitivity in mountainous basins is determined by the relationship between the glacier area ratio and the mean annual precipitation.
Michael J. Vlah, Matthew R. V. Ross, Spencer Rhea, and Emily S. Bernhardt
Hydrol. Earth Syst. Sci., 28, 545–573, https://doi.org/10.5194/hess-28-545-2024, https://doi.org/10.5194/hess-28-545-2024, 2024
Short summary
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Virtual stream gauging enables continuous streamflow estimation where a gauge might be difficult or impractical to install. We reconstructed flow at 27 gauges of the National Ecological Observatory Network (NEON), informing ~199 site-months of missing data in the official record and improving that accuracy of official estimates at 11 sites. This study shows that machine learning, but also routine regression methods, can be used to supplement existing gauge networks and reduce monitoring costs.
Sungwook Wi and Scott Steinschneider
Hydrol. Earth Syst. Sci., 28, 479–503, https://doi.org/10.5194/hess-28-479-2024, https://doi.org/10.5194/hess-28-479-2024, 2024
Short summary
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We investigate whether deep learning (DL) models can produce physically plausible streamflow projections under climate change. We address this question by focusing on modeled responses to increases in temperature and potential evapotranspiration and by employing three DL and three process-based hydrological models. The results suggest that physical constraints regarding model architecture and input are necessary to promote the physical realism of DL hydrological projections under climate change.
Guillaume Evin, Matthieu Le Lay, Catherine Fouchier, David Penot, Francois Colleoni, Alexandre Mas, Pierre-André Garambois, and Olivier Laurantin
Hydrol. Earth Syst. Sci., 28, 261–281, https://doi.org/10.5194/hess-28-261-2024, https://doi.org/10.5194/hess-28-261-2024, 2024
Short summary
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Hydrological modelling of mountainous catchments is challenging for many reasons, the main one being the temporal and spatial representation of precipitation forcings. This study presents an evaluation of the hydrological modelling of 55 small mountainous catchments of the northern French Alps, focusing on the influence of the type of precipitation reanalyses used as inputs. These evaluations emphasize the added value of radar measurements, in particular for the reproduction of flood events.
Lena Katharina Schmidt, Till Francke, Peter Martin Grosse, and Axel Bronstert
Hydrol. Earth Syst. Sci., 28, 139–161, https://doi.org/10.5194/hess-28-139-2024, https://doi.org/10.5194/hess-28-139-2024, 2024
Short summary
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How suspended sediment export from glacierized high-alpine areas responds to future climate change is hardly assessable as many interacting processes are involved, and appropriate physical models are lacking. We present the first study, to our knowledge, exploring machine learning to project sediment export until 2100 in two high-alpine catchments. We find that uncertainties due to methodological limitations are small until 2070. Negative trends imply that peak sediment may have already passed.
Jordy Salmon-Monviola, Ophélie Fovet, and Markus Hrachowitz
Hydrol. Earth Syst. Sci. Discuss., https://doi.org/10.5194/hess-2023-292, https://doi.org/10.5194/hess-2023-292, 2024
Revised manuscript accepted for HESS
Short summary
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To increase the predictive power of hydrological models, it is necessary to improve their consistency, i.e. their ability to reproduce observed system dynamics. Using a model to represent the dynamics of water, and nitrate and dissolved organic carbon concentrations in a catchment, we showed that using solute concentrations for calibration improved the consistency of the model. This study demonstrates that hydrochemical data are useful for improving the representation of hydrological systems.
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,...
