Articles | Volume 23, issue 3
https://doi.org/10.5194/hess-23-1483-2019
© Author(s) 2019. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Special issue:
https://doi.org/10.5194/hess-23-1483-2019
© Author(s) 2019. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Research article
| 
15 Mar 2019
Research article |
| 15 Mar 2019
| 15 Mar 2019
Twenty-first-century glacio-hydrological changes in the Himalayan headwater Beas River basin
NORCE Norwegian Research Centre, Bjerknes Centre for Climate Research,
Jahnebakken 5, 5007 Bergen, Norway
Mingxi Shen
State Key Laboratory of Water Resources and Hydropower Engineering
Science, Wuhan University, Wuhan, China
Yukun Hou
State Key Laboratory of Water Resources and Hydropower Engineering
Science, Wuhan University, Wuhan, China
Chong-Yu Xu
Department of Geosciences, University of Oslo, Oslo, Norway
State Key Laboratory of Water Resources and Hydropower Engineering
Science, Wuhan University, Wuhan, China
Arthur F. Lutz
FutureWater, Costerweg 1V, 6702 AA, Wageningen, the Netherlands
Jie Chen
State Key Laboratory of Water Resources and Hydropower Engineering
Science, Wuhan University, Wuhan, China
Sharad K. Jain
National Institute of Hydrology, Roorkee, India
Jingjing Li
State Key Laboratory of Water Resources and Hydropower Engineering
Science, Wuhan University, Wuhan, China
Hua Chen
State Key Laboratory of Water Resources and Hydropower Engineering
Science, Wuhan University, Wuhan, China
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Zhengke Pan, Pan Liu, Chong-Yu Xu, Lei Cheng, Jing Tian, Shujie Cheng, and Kang Xie
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Wenyan Qi, Jie Chen, Lu Li, Chong-yu Xu, Jingjing Li, Yiheng Xiang, and Shaobo Zhang
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Tian Lan, Kairong Lin, Xuezhi Tan, Chong-Yu Xu, and Xiaohong Chen
Hydrol. Earth Syst. Sci. Discuss., https://doi.org/10.5194/hess-2019-301, https://doi.org/10.5194/hess-2019-301, 2019
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Cong Jiang, Lihua Xiong, Lei Yan, Jianfan Dong, and Chong-Yu Xu
Hydrol. Earth Syst. Sci., 23, 1683–1704, https://doi.org/10.5194/hess-23-1683-2019, https://doi.org/10.5194/hess-23-1683-2019, 2019
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Pan Hu, Qiang Zhang, Chong-Yu Xu, Shao Sun, and Jiayi Fang
Hydrol. Earth Syst. Sci. Discuss., https://doi.org/10.5194/hess-2019-73, https://doi.org/10.5194/hess-2019-73, 2019
Preprint withdrawn
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China is the country highly sensitive to flood disasters. Here we investigated flood disasters and relevant driving factors using meteorological disaster records s and also hourly rainfall data. We used the GeoDetector method to analyze potential driving factors behind flood disasters. We found increased rainstorm-induced flood disasters and increase in flood disaster frequency. Meanwhile, reduced flood-related death rates imply enhanced flood-mitigation infrastructure and facilities.
Nevil Quinn, Günter Blöschl, András Bárdossy, Attilio Castellarin, Martyn Clark, Christophe Cudennec, Demetris Koutsoyiannis, Upmanu Lall, Lubomir Lichner, Juraj Parajka, Christa D. Peters-Lidard, Graham Sander, Hubert Savenije, Keith Smettem, Harry Vereecken, Alberto Viglione, Patrick Willems, Andy Wood, Ross Woods, Chong-Yu Xu, and Erwin Zehe
Proc. IAHS, 380, 3–8, https://doi.org/10.5194/piahs-380-3-2018, https://doi.org/10.5194/piahs-380-3-2018, 2018
René Reijer Wijngaard, Hester Biemans, Arthur Friedrich Lutz, Arun Bhakta Shrestha, Philippus Wester, and Walter Willem Immerzeel
Hydrol. Earth Syst. Sci., 22, 6297–6321, https://doi.org/10.5194/hess-22-6297-2018, https://doi.org/10.5194/hess-22-6297-2018, 2018
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Nevil Quinn, Günter Blöschl, András Bárdossy, Attilio Castellarin, Martyn Clark, Christophe Cudennec, Demetris Koutsoyiannis, Upmanu Lall, Lubomir Lichner, Juraj Parajka, Christa D. Peters-Lidard, Graham Sander, Hubert Savenije, Keith Smettem, Harry Vereecken, Alberto Viglione, Patrick Willems, Andy Wood, Ross Woods, Chong-Yu Xu, and Erwin Zehe
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Precipitation is a key in the water system and glacier fate in the Great Himalayas region. We examine four datasets of available types in the Western Himalayas and they show very large differences. The differences depend much on the data source and are particularly large in monsoon seasons and high-elevation areas. All the datasets show a trend to wetter summer and drier winter and this trend reveals a tendency towards a high-flow seasonality and an unfavorable condition for glaciers.
Hui-Min Wang, Jie Chen, Alex J. Cannon, Chong-Yu Xu, and Hua Chen
Hydrol. Earth Syst. Sci., 22, 3739–3759, https://doi.org/10.5194/hess-22-3739-2018, https://doi.org/10.5194/hess-22-3739-2018, 2018
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Facing a growing number of climate models, many selection methods were proposed to select subsets in the field of climate simulation, but the transferability of their performances to hydrological impacts remains doubtful. We investigate the transferability of climate simulation uncertainty to hydrological impacts using two selection methods, and conclude that envelope-based selection of about 10 climate simulations based on properly chosen climate variables is suggested for impact studies.
Bin Xiong, Lihua Xiong, Jie Chen, Chong-Yu Xu, and Lingqi Li
Hydrol. Earth Syst. Sci., 22, 1525–1542, https://doi.org/10.5194/hess-22-1525-2018, https://doi.org/10.5194/hess-22-1525-2018, 2018
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In changing environments, extreme low-flow events are expected to increase. Frequency analysis of low-flow events considering the impacts of changing environments has attracted increasing attention. This study developed a frequency analysis framework by applying 11 indices to trace the main causes of the change in the annual extreme low-flow events of the Weihe River. We showed that the fluctuation in annual low-flow series was affected by climate, streamflow recession and irrigation area.
Diana Fuentes-Andino, Keith Beven, Sven Halldin, Chong-Yu Xu, José Eduardo Reynolds, and Giuliano Di Baldassarre
Hydrol. Earth Syst. Sci., 21, 3597–3618, https://doi.org/10.5194/hess-21-3597-2017, https://doi.org/10.5194/hess-21-3597-2017, 2017
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Reproduction of past floods requires information on discharge and flood extent, commonly unavailable or uncertain during extreme events. We explored the possibility of reproducing an extreme flood disaster using rainfall and post-event hydrometric information by combining a rainfall-runoff and hydraulic modelling tool within an uncertainty analysis framework. Considering the uncertainty in post–event data, it was possible to reasonably reproduce the extreme event.
Sharad K. Jain, Sanjay K. Jain, Neha Jain, and Chong-Yu Xu
Hydrol. Earth Syst. Sci. Discuss., https://doi.org/10.5194/hess-2017-100, https://doi.org/10.5194/hess-2017-100, 2017
Manuscript not accepted for further review
Lingqi Li, Lihua Xiong, Chong-Yu Xu, Shenglian Guo, and Pan Liu
Hydrol. Earth Syst. Sci. Discuss., https://doi.org/10.5194/hess-2016-619, https://doi.org/10.5194/hess-2016-619, 2016
Revised manuscript not accepted
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The study offers insights into future design floods that are inferred with both AM and POT samplings under nonstationarity caused by changing climate. Future design floods in nonstationarity context are usually (lower than) but not necessarily more different from stationary estimates. AM-based projection is more sensitive to climate change than POT estimates. The over-dispersion in POT arrival rate leads to the invalidation of Poisson assumption that the misuse may induce overestimated floods.
W. W. Immerzeel, N. Wanders, A. F. Lutz, J. M. Shea, and M. F. P. Bierkens
Hydrol. Earth Syst. Sci., 19, 4673–4687, https://doi.org/10.5194/hess-19-4673-2015, https://doi.org/10.5194/hess-19-4673-2015, 2015
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The water resources of the upper Indus river basin (UIB) are important for millions of people, yet little is known about the rain and snow fall in the high-altitude regions because of the inaccessibility, the climatic complexity and the lack of observations. In this study we use mass balance of glaciers to reconstruct the amount of precipitation in the UIB and we conclude that this amount is much higher than previously thought.
J. E. Reynolds, S. Halldin, C. Y. Xu, J. Seibert, and A. Kauffeldt
Hydrol. Earth Syst. Sci. Discuss., https://doi.org/10.5194/hessd-12-7437-2015, https://doi.org/10.5194/hessd-12-7437-2015, 2015
Revised manuscript not accepted
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In this study it was found that time-scale dependencies of hydrological model parameters are a result of the numerical method used in the model rather than a real time-scale-data dependence. This study further indicates that as soon as sub-daily driving data can be secured, flood forecasting in watersheds with sub-daily concentration times is possible with model parameter values inferred from long time series of daily data, as long as an appropriate numerical method is used.
W. Terink, A. F. Lutz, G. W. H. Simons, W. W. Immerzeel, and P. Droogers
Geosci. Model Dev., 8, 2009–2034, https://doi.org/10.5194/gmd-8-2009-2015, https://doi.org/10.5194/gmd-8-2009-2015, 2015
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This paper introduces the Spatial Processes in HYdrology (SPHY) model (v2.0), its underlying concepts, and some example applications. SPHY has the flexibility to be applied in a wide range of hydrologic applications, on various scales, and can easily be implemented. The most relevant hydrologic processes integrated in the SPHY model are rainfall--runoff, cryosphere processes, evapotranspiration processes, the dynamic evolution of evolution of vegetation cover, and lake/reservoir outflow.
A. F. Lutz, W. W. Immerzeel, A. Gobiet, F. Pellicciotti, and M. F. P. Bierkens
Hydrol. Earth Syst. Sci., 17, 3661–3677, https://doi.org/10.5194/hess-17-3661-2013, https://doi.org/10.5194/hess-17-3661-2013, 2013
A. Kauffeldt, S. Halldin, A. Rodhe, C.-Y. Xu, and I. K. Westerberg
Hydrol. Earth Syst. Sci., 17, 2845–2857, https://doi.org/10.5194/hess-17-2845-2013, https://doi.org/10.5194/hess-17-2845-2013, 2013
Related subject area
Subject: Catchment hydrology | Techniques and Approaches: Modelling approaches
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
Estimating response times, flow velocities, and roughness coefficients of Canadian Prairie basins
Learning landscape features from streamflow with autoencoders
On the use of streamflow transformations for hydrological model calibration
Simulation-based inference for parameter estimation of complex watershed simulators
Multi-scale soil moisture data and process-based modeling reveal the importance of lateral groundwater flow in a subarctic catchment
Catchment response to climatic variability: implications for root zone storage and streamflow predictions
Hybrid hydrological modeling for large alpine basins: a semi-distributed approach
Karst aquifer discharge response to rainfall interpreted as anomalous transport
HESS Opinions: Never train a Long Short-Term Memory (LSTM) network on a single basin
Large-sample hydrology – a few camels or a whole caravan?
Comment on “Are soils overrated in hydrology?” by Gao et al. (2023)
Projections of streamflow intermittence under climate change in European drying river networks
Multi-decadal fluctuations in root zone storage capacity through vegetation adaptation to hydro-climatic variability have minor effects on the hydrological response in the Neckar River basin, Germany
Projected future changes in the cryosphere and hydrology of a mountainous catchment in the upper Heihe River, China
On the importance of plant phenology in the evaporative process of a semi-arid woodland: could it be why satellite-based evaporation estimates in the miombo differ?
Achieving water budget closure through physical hydrological processes modelling: insights from a large-sample study
Regionalization of GR4J model parameters for river flow prediction in Paraná, Brazil
Heavy-tailed flood peak distributions: What is the effect of the spatial variability of rainfall and runoff generation?
Evolution of river regimes in the Mekong River basin over 8 decades and the role of dams in recent hydrological extremes
Skill of seasonal flow forecasts at catchment scale: an assessment across South Korea
To what extent do flood-inducing storm events change future flood hazards?
State updating in the Xin'anjiang Model: Joint assimilating streamflow and multi-source soil moisture data via Asynchronous Ensemble Kalman Filter with enhanced Error Models
When ancient numerical demons meet physics-informed machine learning: adjoint-based gradients for implicit differentiable modeling
Assessing the impact of climate change on high return levels of peak flows in Bavaria applying the CRCM5 large ensemble
Impacts of climate and land surface change on catchment evapotranspiration and runoff from 1951 to 2020 in Saxony, Germany
Quantifying and reducing flood forecast uncertainty by the CHUP-BMA method
Developing a tile drainage module for the Cold Regions Hydrological Model: lessons from a farm in southern Ontario, Canada
To bucket or not to bucket? Analyzing the performance and interpretability of hybrid hydrological models with dynamic parameterization
Widespread flooding dynamics under climate change: characterising floods using grid-based hydrological modelling and regional climate projections
HESS Opinions: The sword of Damocles of the impossible flood
A diversity centric strategy for the selection of spatio-temporal training data for LSTM-based streamflow forecasting
Metamorphic testing of machine learning and conceptual hydrologic models
The influence of human activities on streamflow reductions during the megadrought in central Chile
Elevational control of isotopic composition and application in understanding hydrologic processes in the mid Merced River catchment, Sierra Nevada, California, USA
Lack of robustness of hydrological models: A large-sample diagnosis and an attempt to identify the hydrological and climatic drivers
Exploring the Potential Processes Controls for Changes of Precipitation-Runoff Relationships in Non-stationary Environments
Enhancing long short-term memory (LSTM)-based streamflow prediction with a spatially distributed approach
Broadleaf afforestation impacts on terrestrial hydrology insignificant compared to climate change in Great Britain
CH-RUN: A data-driven spatially contiguous runoff monitoring product for Switzerland
Simulating the Tone River Eastward Diversion Project in Japan Carried Out Four Centuries Ago
Impacts of spatiotemporal resolutions of precipitation on flood event simulation based on multimodel structures – a case study over the Xiang River basin in China
A network approach for multiscale catchment classification using traits
Multi-model approach in a variable spatial framework for streamflow simulation
Advancing understanding of lake–watershed hydrology: a fully coupled numerical model illustrated by Qinghai Lake
Technical note: Testing the connection between hillslope-scale runoff fluctuations and streamflow hydrographs at the outlet of large river basins
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.
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.
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.
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.
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. Discuss., https://doi.org/10.5194/hess-2024-272, https://doi.org/10.5194/hess-2024-272, 2024
Preprint under review for HESS
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Our study projects how climate change will affect drying of river segments and stream networks in Europe, using advanced modeling techniques to assess changes in six river networks across diverse ecoregions. We found that drying events will become more frequent, intense and start earlier or last longer, potentially turning some river sections from perennial to intermittent. The results are valuable for river ecologists in evaluating the ecological health of river ecosystem.
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.
Xudong Zheng, Dengfeng Liu, Shengzhi Huang, Hao Wang, and Xianmeng Meng
Hydrol. Earth Syst. Sci. Discuss., https://doi.org/10.5194/hess-2024-230, https://doi.org/10.5194/hess-2024-230, 2024
Revised manuscript accepted for HESS
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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 Datasets Correction Framework grounded in Physical Hydrological Processes Modelling to enhance water budget closure, called 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.
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.
Elena Macdonald, Bruno Merz, Viet Dung Nguyen, and Sergiy Vorogushyn
Hydrol. Earth Syst. Sci. Discuss., https://doi.org/10.5194/hess-2024-181, https://doi.org/10.5194/hess-2024-181, 2024
Revised manuscript accepted for HESS
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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 compared to large catchments, and that spatially variable rainfall leads to a lower occurrence probability of extreme floods. Spatially variable runoff does not show an effect. The results can improve estimations of occurrence probabilities of extreme floods.
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.
Junfu Gong, Xingwen Liu, Cheng Yao, Zhijia Li, Albrecht Weerts, Qiaoling Li, Satish Bastola, Yingchun Huang, and Junzeng Xu
Hydrol. Earth Syst. Sci. Discuss., https://doi.org/10.5194/hess-2024-211, https://doi.org/10.5194/hess-2024-211, 2024
Revised manuscript accepted for HESS
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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 better prepare for and respond to floods.
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.
Everett Snieder and Usman T. Khan
Hydrol. Earth Syst. Sci. Discuss., https://doi.org/10.5194/hess-2024-169, https://doi.org/10.5194/hess-2024-169, 2024
Revised manuscript accepted for HESS
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Improving the accuracy of flood forecasts is paramount to minimising flood damage. Machine-learning models are increasingly being applied for flood forecasting. Such models are typically trained to large historic hydrometeorological datasets. In this work, we evaluate methods for selecting training datasets, that maximise the spatiotemproal diversity of the represented hydrological processes. Empirical results showcase the importance of hydrological diversity in training ML models.
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.
Tian Lan, Tongfang Li, Hongbo Zhang, Jiefeng Wu, Yongqin David Chen, and Chong-Yu Xu
Hydrol. Earth Syst. Sci. Discuss., https://doi.org/10.5194/hess-2024-118, https://doi.org/10.5194/hess-2024-118, 2024
Revised manuscript accepted for HESS
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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 controls for 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.
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.
Basil Kraft, Michael Schirmer, William H. Aeberhard, Massimiliano Zappa, Sonia I. Seneviratne, and Lukas Gudmundsson
EGUsphere, https://doi.org/10.5194/egusphere-2024-993, https://doi.org/10.5194/egusphere-2024-993, 2024
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This study uses deep learning to predict spatially contiguous water runoff in Switzerland from 1962–2023. It outperforms traditional models, requiring less data and computational power. Key findings include increased dry years and summer water scarcity. This method offers significant advancements in water monitoring.
Joško Trošelj and Naota Hanasaki
EGUsphere, https://doi.org/10.5194/egusphere-2024-595, https://doi.org/10.5194/egusphere-2024-595, 2024
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This study presents the first distributed hydrological simulation which confirms the claims raised by historians that the Eastward Diversion Project of the Tone River in Japan was conducted four centuries ago to increase low flows and subsequent travelling possibilities surrounding the Capitol Edo (Tokyo) using inland navigation. We reconstructed six historical river maps and indirectly validated the historical simulations with reachable ancient river ports via increased low-flow water levels.
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.
Cited articles
Aggarwal, S. P., Thakur, P. K., Garg, V., Nikam, B. R., Chouksey, A., Dhote,
P., and Bhattacharya, T.: Water resources status and availability assessment
in current and future climate change scenarios for beas river basin of north
western himalaya. International Archives of the Photogrammetry, Remote
Sensing and Spatial Information Sciences (ISPRS), SLI-B8, 1389–1396,
https://doi.org/10.5194/isprs-archives-XLI-B8-1389-2016, 2016.
Akhtar, M., Ahmad, N., and Booij, M. J.: The impact of climate change on the
water resources of Hindukush-Karakorum-Himalaya region under different
glacier coverage scenarios, J. Hydrol., 355, 148–163, 2008.
Ali, D., Sacchetto, E., Dumontet, E., Le Carrer, D., Orsonneau, J. L.,
Delaroche, O., and Bigot-Corbel, E.: Hemolysis influence on twenty-two
biochemical parameters measurement, Ann. Biol. Clin.-Paris, 72, 297–311,
2014.
Ali, S., Dan, L., Fu, C. B., and Khan, F.: Twenty first century climatic and
hydrological changes over Upper Indus Basin of Himalayan region of Pakistan,
Environ. Res. Lett., 10, 014007, https://doi.org/10.1088/1748-9326/10/1/014007, 2015.
Anand, J., Devak, M., Gosain, A. K., Khosa, R., and Dhanya, C. T.: Spatial
Extent of Future Changes in the Hydrologic Cycle Components in Ganga Basin
using Ranked CORDEX RCMs, Hydrol. Earth Syst. Sci. Discuss.,
https://doi.org/10.5194/hess-2017-189, 2017.
Azam, M. F., Wagnon, P., Vincent, C., Ramanathan, A., Linda, A., and Singh,
V. B.: Reconstruction of the annual mass balance of Chhota Shigri glacier,
Western Himalaya, India, since 1969, Ann. Glaciol., 55, 69–80, 2014.
Azam, M. F., Ramanathan, A. L., Wagnon, P., Vincent, C., Linda, A., Berthier,
E., Sharma, P., Mandal, A., Angchuk, T., Singh, V. B., and Pottakkal, J. G.:
Meteorological conditions, seasonal and annual mass balances of Chhota Shigri
Glacier, western Himalaya, India, Ann. Glaciol., 57, 328–338, 2016.
Azam, M. F., Wagnon, P., Berthier, E., Vincent, C., Fujita, K., and Kargel,
J. S.: Review of the status and mass changes of Himalayan-Karakoram glaciers,
J. Glaciol., 64, 61–74, 2018.
Berthier, E., Arnaud, Y., Kumar, R., Ahmad, S., Wagnon, P., and Chevallier,
P.: Remote sensing estimates of glacier mass balances in the Himachal Pradesh
(Western Himalaya, India), Remote Sens. Environ., 108, 327–338, 2007.
Bolch, T., Kulkarni, A., Kääb, A., Huggel, C., Paul, F., Cogley, J.
G., Frey, H., Kargel, J. S., Fujita, K., Scheel, M., Bajracharya, S., and
Stoffel, M.: The state and fate of Himalayan glaciers, Science, 336,
310–314, 2012.
Biskop, S., Krause, P., Helmschrot, J., Fink, M., and Flügel, W.-A.:
Assessment of data uncertainty and plausibility over the Nam Co Region,
Tibet, Adv. Geosci., 31, 57–65, https://doi.org/10.5194/adgeo-31-57-2012,
2012.
Brun, F., Berthier, E., Wagnon, P., Kääb, A., and Treichler, D.: A
spatially resolved estimate of High Mountain Asia glacier mass balances from
2000 to 2016, Nat. Geosci., 10, 668–673, 2017.
Chen, H., Xu, C. Y., and Guo, S.: Comparison and evaluation of multiple GCMs,
statistical downscaling and hydrological models in the study of climate
change impacts on runoff, J. Hydrol., 434, 36–45, 2012.
Chen, H., Guo, J., Xiong, W., Guo, S. L., and Xu, C. Y.: Downscaling GCMs
using the Smooth Support Vector Machine method to predict daily precipitation
in the Hanjiang Basin, Adv. Atmos. Sci., 27, 274–284, 2010.
Chen, J., Brissette, F. P., and Leconte, R.: Uncertainty of downscaling
method in quantifying the impact of climate change on hydrology, J. Hydrol.,
401, 190–202, 2011.
Chen, J., Brissette, F. P., Chaumont, D., and Braun, M.: Performance and
uncertainty evaluation of empirical downscaling methods in quantifying the
climate change impacts on hydrology over two North American river basins, J.
Hydrol., 479, 200–214, 2013.
Chu, J. T., Xia J., and Xu, C. Y.: Statistical downscaling of daily mean
temperature, pan evaporation and precipitation for climate change scenarios
in Haihe River, China, Theor. Appl. Climatol., 99, 149–161,
https://doi.org/10.1007/s00704-009-0129-6, 2010.
Collier, E., Mölg, T., Maussion, F., Scherer, D., Mayer, C., and Bush, A.
B. G.: High-resolution interactive modelling of the mountain
glacier–atmosphere interface: an application over the Karakoram, The
Cryosphere, 7, 779–795, https://doi.org/10.5194/tc-7-779-2013, 2013.
Dahri, Z. H., Ludwig, F., Moors, E., Ahmad, B., Khan, A., and Kabat, P.: An
appraisal of precipitation distribution in the high-altitude catchments of
the Indus basin, Sci. Total Environ., 548–549, 289–306,
https://doi.org/10.1016/j.scitotenv.2016.01.001, 2016.
Dimri, A. P., Yasunari, T., Wiltshire, A., Kumar, P., Mathison, C., Ridley,
J., and Jacob, D.: Application of regional climate models to the Indian
winter monsoon over the western Himalayas, Sci. Total Environ., 468–469,
S36–S47, https://doi.org/10.1016/j.scitotenv.2013.01.040, 2013.
Ehret, U., Zehe, E., Wulfmeyer, V., Warrach-Sagi, K., and Liebert, J.: HESS
Opinions “Should we apply bias correction to global and regional climate
model data?”, Hydrol. Earth Syst. Sci., 16, 3391–3404,
https://doi.org/10.5194/hess-16-3391-2012, 2012.
Engelhardt, M., Schuler, T. V., and Andreassen, L. M.: Evaluation of gridded
precipitation for Norway using glacier mass-balance measurements, Geogr. Ann.
A, 94, 501–509, https://doi.org/10.1111/j.1468-0459.2012.00473.x, 2012.
Engelhardt, M., Ramanathan, A. L., Eidhammer, T., Kumar, P., Landgren, O.,
Mandal, A., and Rasmussen, R.: Modelling 60 years of glacier mass balance and
runoff for Chhota Shigri Glacier, Western Himalaya, Northern India, J.
Glaciol., 63, 618–628, 2017.
Eden, J. M., Widmann, M., Maraun, D., and Vrac, M.: Comparison of GCM-and
RCM-simulated precipitation following stochastic postprocessing, J. Geophys.
Res.-Atmos., 119, 11–40, 2014.
Fang, G. H., Yang, J., Chen, Y. N., and Zammit, C.: Comparing bias correction
methods in downscaling meteorological variables for a hydrologic impact study
in an arid area in China, Hydrol. Earth Syst. Sci., 19, 2547–2559,
https://doi.org/10.5194/hess-19-2547-2015, 2015.
Fujihara, Y., Tanaka, K., Watanabe, T., Nagano, T., and Kojiri, T.: Assessing
the impacts of climate change on the water resources of the Seyhan River
Basin in Turkey: Use of dynamically downscaled data for hydrologic
simulations, J. Hydrol., 353, 33–48, 2008.
Gardelle, J., Berthier, E., Arnaud, Y., and Kääb, A.: Region-wide
glacier mass balances over the Pamir-Karakoram-Himalaya during 1999–2011,
The Cryosphere, 7, 1263–1286, https://doi.org/10.5194/tc-7-1263-2013, 2013.
Gong, L., Widen-Nilsson, E., Halldin, S., and Xu, C. Y.: Large-scale runoff
routing with an aggregated network-response function, J. Hydrol., 368,
237–250, 2009.
Gong, L., Halldin, S., and Xu, C.-Y.: Global scale river routing – an
efficient time delay algorithm based on HydroSHEDS high resolution
hydrography, Hydrol. Process., 25, 1114–1128, 2011.
Hartmann, H. and Andresky, L.: Flooding in the Indus River basin – a
spatiotemporal analysis of precipitation records, Global Planet. Change, 107,
25–35, 2013.
Hasson, S.: Future Water Availability from Hindukush-Karakoram-Himalaya upper
Indus Basin under Conflicting Climate Change Scenarios, Climate, 4, 40,
https://doi.org/10.3390/cli4030040, 2016.
Hasson, S., Lucarini, V., Khan, M. R., Petitta, M., Bolch, T., and Gioli, G.:
Early 21st century snow cover state over the western river basins of the
Indus River system, Hydrol. Earth Syst. Sci., 18, 4077–4100,
https://doi.org/10.5194/hess-18-4077-2014, 2014.
Hessami, M., Gachon, P., Ouarda, T. B. M. J., and St-Hilaire, A.: Automated
regression-based statistical downscaling tool, Environ. Modell. Softw., 23,
813–834, https://doi.org/10.1016/j.envsoft.2007.10.004, 2008.
Hewitt, K.: The Karakoram anomaly? Glacier expansion and the “elevation
effect”, Karakoram Himalaya Mountain Research and Development, 25, 332–340,
2005.
Hock, R.: Temperature index modelling in mountain areas, J. Hydrol., 282,
104–115, 2003.
Horton, P., Schaefli, B., Mezghani, A., Hingray, B., and Musy, A.: Assessment
of climate-change impacts on alpine discharge regimes with climate model
uncertainty, Hydrol. Process., 20, 2091–2109, 2006.
Immerzeel, W., Pellicciotti, F., and Bierkens, M.: Rising river flows
throughout the twenty-first century in two Himalayan glacierized watersheds,
Nat. Geosci., 6, 742–745, https://doi.org/10.1038/NGEO1896, 2013.
Immerzeel, W. W., Wanders, N., Lutz, A. F., Shea, J. M., and Bierkens, M. F.
P.: Reconciling high-altitude precipitation in the upper Indus basin with
glacier mass balances and runoff, Hydrol. Earth Syst. Sci., 19, 4673–4687,
https://doi.org/10.5194/hess-19-4673-2015, 2015.
Jacob, D., Petersen, J., Eggert, B., Alias, A., Christensen, O. B., Bouwer,
L. M., Braun, A., Colette, A., Déqué, M., Georgievski, G., and
Georgopoulou, E.: EURO-CORDEX: new high-resolution climate change projections
for European impact research, Reg. Environ. Change, 14, 563–578, 2014.
Ji, Z. M. and Kang, S. C.: Projection of snow cover changes over China under
RCP scenarios, Clim. Dynam., 41, 589–600, 2013a.
Ji, Z. and Kang, S.: Double-nested dynamical downscaling experiments over the
Tibetan Plateau and their projection of climate change under two RCP
scenarios, J. Atmos. Sci., 70, 1278–1290, 2013b.
Johnson, F. and Sharma, A.: What are the impacts of bias correction on future
drought projections?, J. Hydrol., 525, 472–485, 2015.
Kattel, D. B., Yao, T., Yang, K., Tian, L., Yang, G., and Joswiak, D.:
Temperature lapse rate in complex mountain terrain on the southern slope of
the central Himalayas, Theor. Appl. Climatol., 113, 671–682, 2013.
Kääb, A., Treichler, D., Nuth, C., and Berthier, E.: Brief
Communication: Contending estimates of 2003–2008 glacier mass balance over
the Pamir–Karakoram–Himalaya, The Cryosphere, 9, 557–564,
https://doi.org/10.5194/tc-9-557-2015, 2015.
Khan, F., Pilz, J., Amjad, M., and Wiberg, D. A.: Climate variability and its
impacts on water resources in the Upper Indus Basin under IPCC climate change
scenarios, Int. J. Global Warm., 8, 46–69, 2015.
Kraaijenbrink, P. D. A., Bierkens, M. F. P., Lutz, A. F., and Immerzeel, W.
W.: Impact of a 1.5 ∘C global temperature rise on Asia's glaciers,
Nature, 549, 257–260, 2017.
Kumar, V., Singh, P., and Singh, V.: Snow and glacier melt contribution in
the Beas River at Pandoh Dam, Himachal Pradesh, India, Hydrolog. Sci. J., 52,
376–388, 2007.
Li, H., Xu, C.-Y., Beldring, S., Tallaksen, T. M., and Jain, S. K.: Water
Resources under Climate Change in Himalayan basins, Water Resour. Manage.,
30, 843–859, https://doi.org/10.1007/s11269-015-1194-5, 2016.
Li, H., Beldring, S., Xu, C.-Y., Huss, M., and Melvold, K.: Integrating a
glacier retreat model into a hydrological model – case studies on three
glacierised catchments in Norway and Himalayan region, J. Hydrol., 527,
656–667, https://doi.org/10.1016/j.jhydrol.2015.05.017, 2015.
Li, L., Engelhard, M., Xu, C. Y., Jain, S. J., and Singh, V. P.: Comparison
of satellite-based and reanalysed precipitation as input to
glacio-hydrological modeling for Beas river basin, Northern India. Cold and
Mountain Region Hydrological Systems Under Climate Change: Towards Improved
Projections, IAHS-AISH P., 360, 45–52, 2013a.
Li, L., Ngongondo, C. S., Xu, C. Y., and Gong, L.: Comparison of the global
TRMM and WFD precipitation datasets in driving a large-scale hydrological
model in southern Africa, Hydrol. Res., 44, 770–788,
https://doi.org/10.2166/nh.2012.175, 2013b.
Li, L., Diallo, I., Xu, C.-Y., and Stordal, F.: Hydrological projections
under climate change in the near future by RegCM4 in Southern Africa using a
large-scale hydrological model, J. Hydrol., 528, 1–16,
https://doi.org/10.1016/j.jhydrol.2015.05.028, 2015.
Li, L., Gochis, D. J., Sobolowski, S., and Mesquita, M. D.: Evaluating the
present annual water budget of a Himalayan headwater river basin using a
high-resolution atmosphere-hydrology model, J. Geophys. Res.-Atmos., 122,
4786–4807, 2017.
Lutz, A. F., Immerzeel, W. W., Gobiet, A., Pellicciotti, F., and Bierkens, M.
F. P.: Comparison of climate change signals in CMIP3 and CMIP5 multi-model
ensembles and implications for Central Asian glaciers, Hydrol. Earth Syst.
Sci., 17, 3661–3677, https://doi.org/10.5194/hess-17-3661-2013, 2013.
Lutz, A. F., Immerzeel, W. W., Shrestha, A. B., and Bierkens, M. F. P.:
Consistent increase in High Asia's runoff due to increasing glacier melt and
precipitation, Nat. Clim. Change, 4, p. 587, 2014.
Lutz, A. F., Immerzeel, W. W., Kraaijenbrink, P. D. A., Shrestha, A. B., and
Bierkens, M. F.: Climate change impacts on the upper Indus hydrology:
Sources, shifts and extremes, PloS one, 11, e0165630,
https://doi.org/10.1371/journal.pone.0165630, 2016.
Mair, E., Bertoldi, G., Leitinger, G., Della Chiesa, S., Niedrist, G., and
Tappeiner, U.: ESOLIP – estimate of solid and liquid precipitation at
sub-daily time resolution by combining snow height and rain gauge
measurements, Hydrol. Earth Syst. Sci. Discuss., 10, 8683–8714,
https://doi.org/10.5194/hessd-10-8683-2013, 2013.
Maussion, F., Scherer, D., Finkelnburg, R., Richters, J., Yang, W., and Yao,
T.: WRF simulation of a precipitation event over the Tibetan Plateau, China
– an assessment using remote sensing and ground observations, Hydrol. Earth
Syst. Sci., 15, 1795–1817, https://doi.org/10.5194/hess-15-1795-2011, 2011.
Ménégoz, M., Gallée, H., and Jacobi, H. W.: Precipitation and
snow cover in the Himalaya: from reanalysis to regional climate simulations,
Hydrol. Earth Syst. Sci., 17, 3921–3936,
https://doi.org/10.5194/hess-17-3921-2013, 2013.
Mishra, V.: Climatic uncertainty in Himalayan water towers, J. Geophys.
Res.-Atmos., 120, 2689–2705, 2015.
Mitchell, T. D. and Jones, P. D.: An improved method of constructing a
database of monthly climate observations and associated high-resolution
grids, Int. J. Climatol., 25, 693–712, 2005.
Mpelasoka, F. S. and Chiew, F. H. S.: Influence of rainfall scenario
construction methods on runoff projections, J. Hydrometeorol., 10,
1168–1183, 2009.
Palazzi, E., Von Hardenberg, J., and Provenzale, A.: Precipitation in the
Hindu-Kush Karakoram Himalaya: Observations and future scenarios, J. Geophys.
Res.-Atmos., 118, 85–100, 2013.
Pechlivanidis, I. G., Arheimer, B., Donnelly, C., Hundecha, Y., Huang, S.,
Aich, V., Samaniego, L., Eisner, S., and Shi, P.: Analysis of hydrological
extremes at different hydro-climatic regimes under present and future
conditions, Climatic Change, 141, 467–481, 2017.
Ragettli, S. and Pellicciotti, F.: Calibration of a physically based,
spatially distributed hydrological model in a glacierized basin: on the use
of knowledge from glaciometeorological processes to constrain model
parameters, Water Resour. Res., 48, 1–20, 2012.
Ramanathan, A. L.: Status Report on Chhota Shigri Glacier (Himachal Pradesh),
Department of Science and Technology, Ministry of Science and Technology, New
Delhi, Himalayan Glaciology Technical Report No.1, 88 pp., 2011.
Rasmussen, R., Liu, C., Ikeda, K., Gochis, D., Yates, D., Chen, F., Tewari,
M., Barlage, M., Dudhia, J., Yu, W., and Miller, K.: High-resolution coupled
climate runoff simulations of seasonal snowfall over Colorado: A process
study of current and warmer climate, J. Climate, 24, 3015–3048, 2011.
Rasmussen, R. M., Ikeda, K., Liu, C., Gochis, D. J., Clark, M., Dai, A.,
Gutmann, E., Dudhia, J., Chen, F., Barlage, M. J., Yates, D., and Zhang, G.:
Climate change impacts on the water balance of the Colorado headwaters:
High-resolution regional climate model simulations, J. Hydrometeorol., 15,
1091–1116, 2014.
RGI Consortium: Randolph Glacier Inventory – A Dataset of Global Glacier
Outlines: Version 6.0: Technical Report, Global Land Ice Measurements from
Space, Digital Media, Colorado, USA, https://doi.org/10.7265/N5-RGI-60, 2017.
Rudd, A. C. and Kay, A. L.: Use of very high resolution climate model data
for hydrological modelling: estimation of potential evaporation, Hydrol.
Res., 47, 660–670, https://doi.org/10.2166/nh.2015.028, 2016.
Samaniego, L., Kumar, R., Breuer, L., Chamorro, A., Flörke, M.,
Pechlivanidis, I. G., Schäfer, D., Shah, H., Vetter, T., Wortmann, M.,
and Zeng, X.: Propagation of forcing and model uncertainties on to
hydrological drought characteristics in a multi-model century-long experiment
in large river basins, Climatic Change, 141, 435–449, 2017.
Scherler, D., Bookhagen, B., and Strecker, M. R.: Spatially variable response
of Himalayan glaciers to climate change affected by debris cover, Nat.
Geosci., 4, 156–159, 2011.
Schmidli, J., Frei, C., and Vidale, P. L.: Downscaling from GCM
precipitation: a benchmark for dynamical and statistical downscaling methods,
Int. J. Climatol., 26, 679–689, 2006.
Shen, M., Chen, J., Zhuan, M., Chen, H., Xu, C. Y., and Xiong, L.: Estimating
uncertainty and its temporal variation related to global climate models in
quantifying climate change impacts on hydrology, J. Hydrol., 556, 10–24,
2018.
Shrestha, M., Wang, L., Koike, T., Xue, Y., and Hirabayashi, Y.: Modeling the
spatial distribution of snow cover in the Dudhkoshi Region of the Nepal
Himalayas, J. Hydrometeorol., 13, 204–222, https://doi.org/10.1175/JHM-D-10-05027.1,
2012.
Singh, P., Kumar, N., and Arora, M.: Degree–day factors for snow and ice for
Dokriani Glacier, Garhwal Himalayas, J. Hydrol., 235, 1–11, 2000.
Singh, S., Ghosh, S., Sahana, A. S., Vittal, H., and Karmakar, S.: Do dynamic
regional models add value to the global model projections of Indian monsoon?,
Clim. Dynam., 48, 1375–1397, https://doi.org/10.1007/s00382-016-3147-y, 2017.
Smitha, P. S., Narasimhan, B., Sudheer, K. P., and Annamalai, H.: An improved
bias correction method of daily rainfall data using a sliding window
technique for climate change impact assessment, J. Hydrol., 556, 100–118,
2018.
Stahl, K., Moore, R. D., Shea, J. M., Hutchinson, D., and Cannon, A. J.:
Coupled modelling of glacier and streamflow response to future climate
scenarios, Water Resour. Res., 44, W02422, https://doi.org/10.1029/2007WR005956, 2008.
Tatsumi, K., Oizumi, T., and Yamashiki, Y.: Assessment of future
precipitation indices in the Shikoku region using a statistical downscaling
model, Stoch. Env. Res. Risk A, 28, 1447–1464,
https://doi.org/10.1007/s00477-014-0847-x, 2014.
Taylor, K. E., Stouffer, R. J., and Meehl, G. A.: An overview of CMIP5 and
the experiment design, B. Am. Meteorol. Soc., 93, 485–498,
https://doi.org/10.1175/BAMS-D-11-00094.1, 2012.
Teutschbein, C. and Seibert, J.: Bias correction of regional climate model
simulations for hydrological climate-change impact studies: Review and
evaluation of different methods, J. Hydrol., 456, 12–29, 2012.
Troin, M., Velázquez, J. A., Caya, D., and Brissette, F.: Comparing
statistical post-processing of regional and global climate scenarios for
hydrological impacts assessment: A case study of two Canadian catchments, J.
Hydrol., 520, 268–288, 2015.
USGS (US Geological Survey): HYDRO 1K Elevation Derivative Database,
https://doi.org/10.5066/F77P8WN0, the Earth Resources Observation and Science (EROS)
Data Center (EDC), Sioux Falls, South Dakota, USA, 1996a.
USGS (US Geological Survey): GTOPO30 (Global 30 Arc-Second Elevation Data
Set), https://doi.org/10.5066/F7DF6PQS, the Earth Resources Observation and Science
(EROS) Data Center (EDC), Sioux Falls, South Dakota, USA, 1996b.
Vetter, T., Reinhardt, J., Flörke, M., van Griensven, A., Hattermann, F.,
Huang, S., Koch, H., Pechlivanidis, I. G., Plötner, S., Seidou, O., and
Su, B.: Evaluation of sources of uncertainty in projected hydrological
changes under climate change in 12 large-scale river basins, Climatic Change,
141, 419–433, 2017.
Vincent, C., Ramanathan, Al., Wagnon, P., Dobhal, D. P., Linda, A., Berthier,
E., Sharma, P., Arnaud, Y., Azam, M. F., Jose, P. G., and Gardelle, J.:
Balanced conditions or slight mass gain of glaciers in the Lahaul and Spiti
region (northern India, Himalaya) during the nineties preceded recent mass
loss, The Cryosphere, 7, 569–582, https://doi.org/10.5194/tc-7-569-2013,
2013.
Viste, E. and Sorteberg, A.: Snowfall in the Himalayas: an uncertain future
from a little-known past, The Cryosphere, 9, 1147–1167,
https://doi.org/10.5194/tc-9-1147-2015, 2015.
Wagnon, P., Linda, A., Arnaud, Y., Kumar, R., Sharma, P., Vincent, C.,
Pottakkal, J. G., Berthier, E., Ramanathan, A., Hasnain, S. I., and
Chevallier, P.: Four years of mass balance on Chhota Shigri Glacier, Himachal
Pradesh, India, a new benchmark glacier in the western Himalaya, J. Glaciol.,
53, 603–611, 2007.
Widen-Nillsson, E., Gong, L., Halldin, S., and Xu, C. Y.: Model performance
and parameter behavior for varying time aggregations and evaluation criteria
in the WASMOD-M global water balance model, Water Resour. Res., 45, W05418,
https://doi.org/10.1029/2007WR006695, 2009.
Wilby, R. L., Dawson, C. W., and Barrow, E. M.: DBC – a decision support
tool for the assessment of regional climate change impacts, Environ. Modell.
Softw., 17, 145–157, 2002.
Winiger, M. G. H. Y., Gumpert, M., and Yamout, H.:
Karakorum–Hindukush–western Himalaya: assessing high-altitude water
resources, Hydrol. Process., 19, 2329–2338, 2005.
Xu, C.-Y.: WASMOD – The Water And Snow balance MODelling system, in:
Mathematical Models of Small Watershed Hydrology and Applications, edited by:
Singh, V. P. and Frevert, D. K., LLC, Chelsea, Michigan, USA, Water Resources
Publications, 2002.
Short summary
The study used an integrated glacio-hydrological model for the hydrological projections of the Himalayan Beas basin under climate change. It is very likely that the upper Beas basin will get warmer and wetter in the future. This loss in glacier area will result in a reduction in glacier discharge, while the future changes in total discharge are uncertain. The uncertainty in future hydrological change is not only from GCMs, but also from the bias-correction methods and hydrological modeling.
The study used an integrated glacio-hydrological model for the hydrological projections of the...
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