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Hydrology and Earth System Sciences
An interactive open-access journal of the European Geosciences Union
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IF5.153
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5.460
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Volume 17, issue 5
Hydrol. Earth Syst. Sci., 17, 1985–2000, 2013
https://doi.org/10.5194/hess-17-1985-2013
© Author(s) 2013. This work is distributed under
the Creative Commons Attribution 3.0 License.
https://doi.org/10.5194/hess-17-1985-2013
© Author(s) 2013. This work is distributed under
the Creative Commons Attribution 3.0 License.
Hydrol. Earth Syst. Sci., 17, 1985–2000, 2013
https://doi.org/10.5194/hess-17-1985-2013
© Author(s) 2013. This work is distributed under
the Creative Commons Attribution 3.0 License.
https://doi.org/10.5194/hess-17-1985-2013
© Author(s) 2013. This work is distributed under
the Creative Commons Attribution 3.0 License.
Research article 27 May 2013
Research article | 27 May 2013
Analysis of long-term terrestrial water storage variations in the Yangtze River basin
Y. Huang et al.
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Pei Zhang, Donghai Zheng, Rogier van der Velde, Jun Wen, Yijian Zeng, Xin Wang, Zuoliang Wang, Jiali Chen, and Zhongbo Su
Earth Syst. Sci. Data Discuss., https://doi.org/10.5194/essd-2020-209, https://doi.org/10.5194/essd-2020-209, 2020
Preprint under review for ESSD
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We present a 10-year (2009–2019) surface soil moisture (5 cm) dataset produced based on in situ measurements collected from monitoring networks on the Tibetan Plateau. The dataset provides a reasonable regional-scale soil moisture time series that is valuable for calibration/validation of long term soil moisture products, evaluation/development of upscaling and data fusion methods, and quantification of coupling strength between precipitation and soil moisture at a 10-year scale.
Joost Buitink, Anne M. Swank, Martine van der Ploeg, Naomi E. Smith, Harm-Jan F. Benninga, Frank van der Bolt, Coleen D. U. Carranza, Gerbrand Koren, Rogier van der Velde, and Adriaan J. Teuling
Hydrol. Earth Syst. Sci. Discuss., https://doi.org/10.5194/hess-2020-358, https://doi.org/10.5194/hess-2020-358, 2020
Preprint under review for HESS
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The amount of water stored in the soil is critical for the productivity of plants. Plant productivity is either limited by the available water, or by the available energy. In this study, we infer this transition point by comparing local observations of water stored in the soil with satellite observations of vegetation productivity. We show that the transition point is not constant with soil depth, indicating that plants use water from deeper layers when the soil gets drying.
Jan G. Hofste, Rogier van der Velde, Jun Wen, Xin Wang, Zuoliang Wang, Donghai Zheng, Christiaan van der Tol, and Zhongbo Su
Earth Syst. Sci. Data Discuss., https://doi.org/10.5194/essd-2020-44, https://doi.org/10.5194/essd-2020-44, 2020
Preprint under review for ESSD
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The dataset reported in this paper concerns the measurement of microwave reflections from an alpine meadow over the Tibetan Plateau. These microwave reflections where measured continuously over one year. With it, variations in soil water content due to evaporation, precipitation, drainage and soil freezing/thawing can be seen. A better understanding of the effects aforementioned processes have on microwave reflections may improve methods for estimating soil water content used by satellites.
Rogier van der Velde, Andreas Colliander, Michiel Pezij, Harm-Jan F. Benninga, Rajat Bindlish, Steven K. Chan, Thomas J. Jackson, Dimmie M. D. Hendriks, Denie C. M. Augustijn, and Zhongbo Su
Hydrol. Earth Syst. Sci. Discuss., https://doi.org/10.5194/hess-2019-471, https://doi.org/10.5194/hess-2019-471, 2019
Revised manuscript under review for HESS
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NASA’s SMAP satellite provides estimates of the amount of water in the soil. With measurements from a network of twenty soil monitoring stations the accuracy of these estimates has been studied for a four-year period. We found a good agreement between satellite and in-situ estimates, and yet large mismatches in situations with rapidly changing water contents, e.g. soil freezing, rainfall. This can be used to improve model simulations for more skillful management of available natural resources.
Harm-Jan F. Benninga, Coleen D. U. Carranza, Michiel Pezij, Pim van Santen, Martine J. van der Ploeg, Denie C. M. Augustijn, and Rogier van der Velde
Earth Syst. Sci. Data, 10, 61–79, https://doi.org/10.5194/essd-10-61-2018, https://doi.org/10.5194/essd-10-61-2018, 2018
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Soil moisture is a central hydrological state variable. We set up a soil moisture and soil temperature profile monitoring network of 15 stations, distributed over the 495 km2 Raam region. The Raam catchment faces dry and wet periods, which both have implications for agricultural and regional water management. The measurements at 5 cm depth provide a reference for soil moisture retrievals from earth observations, while the measurements at deeper layers enable investigation of root zone processes.
A. D. Chukalla, M. S. Krol, and A. Y. Hoekstra
Hydrol. Earth Syst. Sci., 19, 4877–4891, https://doi.org/10.5194/hess-19-4877-2015, https://doi.org/10.5194/hess-19-4877-2015, 2015
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This paper provides the first detailed and comprehensive study regarding the potential for reducing the consumptive WF of a crop by changing management practice such as irrigation technique, irrigation strategy and mulching practice. If we consider all the cases of drip or subsurface drip irrigation with synthetic mulching, including all crops and environments, we find an average consumptive WF reduction of 28-29%. The corresponding blue WF reduction is 44% and the green WF reduction 14%.
B. Nechad, K. Ruddick, T. Schroeder, K. Oubelkheir, D. Blondeau-Patissier, N. Cherukuru, V. Brando, A. Dekker, L. Clementson, A. C. Banks, S. Maritorena, P. J. Werdell, C. Sá, V. Brotas, I. Caballero de Frutos, Y.-H. Ahn, S. Salama, G. Tilstone, V. Martinez-Vicente, D. Foley, M. McKibben, J. Nahorniak, T. Peterson, A. Siliò-Calzada, R. Röttgers, Z. Lee, M. Peters, and C. Brockmann
Earth Syst. Sci. Data, 7, 319–348, https://doi.org/10.5194/essd-7-319-2015, https://doi.org/10.5194/essd-7-319-2015, 2015
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The CoastColour Round Robin (CCRR) project (European Space Agency) was designed to set up the first database for remote-sensing algorithm testing and accuracy assessment of water quality parameter retrieval in coastal waters, from satellite imagery. This paper analyses the CCRR database, which includes in situ bio-geochemical and optical measurements in various water types, match-up reflectance products from the MEdium Resolution Imaging Spectrometer (MERIS), and radiative transfer simulations.
R. van der Velde, M. S. Salama, T. Pellarin, M. Ofwono, Y. Ma, and Z. Su
Hydrol. Earth Syst. Sci., 18, 1323–1337, https://doi.org/10.5194/hess-18-1323-2014, https://doi.org/10.5194/hess-18-1323-2014, 2014
Related subject area
Subject: Catchment hydrology | Techniques and Approaches: Modelling approaches
Which rainfall score is more informative about the performance in river discharge simulation? A comprehensive assessment on 1318 basins over Europe
Assimilation of Soil Moisture and Ocean Salinity (SMOS) brightness temperature into a large-scale distributed conceptual hydrological model to improve soil moisture predictions: the Murray–Darling basin in Australia as a test case
Frequency and magnitude variability of Yalu River flooding: numerical analyses for the last 1000 years
Assessing the degree of detail of temperature-based snow routines for runoff modelling in mountainous areas in central Europe
Adaptive clustering: reducing the computational costs of distributed (hydrological) modelling by exploiting time-variable similarity among model elements
Climate elasticity of evapotranspiration shifts the water balance of Mediterranean climates during multi-year droughts
Future streamflow regime changes in the United States: assessment using functional classification
Risks and opportunities for a Swiss hydroelectricity company in a changing climate
Survival of the Qaidam mega-lake system under mid-Pliocene climates and its restoration under future climates
Hydrological evaluation of open-access precipitation data using SWAT at multiple temporal and spatial scales
Understanding coastal wetland conditions and futures by closing their hydrologic balance: the case of the Gialova lagoon, Greece
Why does a conceptual hydrological model fail to correctly predict discharge changes in response to climate change?
Sensitivity of meteorological-forcing resolution on hydrologic variables
Using altimetry observations combined with GRACE to select parameter sets of a hydrological model in a data-scarce region
Assessing the impact of seasonal-rainfall anomalies on catchment-scale water balance components
Crossing hydrological and geochemical modeling to understand the spatiotemporal variability of water chemistry in a headwater catchment (Strengbach, France)
Future shift in winter streamflow modulated by the internal variability of climate in southern Ontario
On the shape of forward transit time distributions in low-order catchments
Linking economic and social factors to peak flows in an agricultural watershed using socio-hydrologic modeling
Diagnosis of future changes in hydrology for a Canadian Rockies headwater basin
Should altitudinal gradients of temperature and precipitation inputs be inferred from key parameters in snow-hydrological models?
Predicting probabilities of streamflow intermittency across a temperate mesoscale catchment
Evaluation of the ERA5 reanalysis as a potential reference dataset for hydrological modelling over North America
Multistep-ahead daily inflow forecasting using the ERA-Interim reanalysis data set based on gradient-boosting regression trees
Quantifying the impacts of human water use and climate variations on recent drying of Lake Urmia basin: the value of different sets of spaceborne and in situ data for calibrating a global hydrological model
Surface water and groundwater: unifying conceptualization and quantification of the two “water worlds”
Intra-catchment variability of surface saturation – insights from physically based simulations in comparison with biweekly thermal infrared image observations
Reconstructing the 2015 Salgar flash flood using radar retrievals and a conceptual modeling framework in an ungauged basin
Dynamics of hydrological-model parameters: mechanisms, problems and solutions
Understanding dominant controls on streamflow spatial variability to set up a semi-distributed hydrological model: the case study of the Thur catchment
Hydrograph separation: an impartial parametrisation for an imperfect method
Evaporation from a large lowland reservoir – (dis)agreement between evaporation models from hourly to decadal timescales
Importance of the information content in the study area when regionalising rainfall-runoff model parameters: the role of nested catchments and gauging station density
Beyond binary baseflow separation: a delayed-flow index for multiple streamflow contributions
On the configuration and initialization of a large-scale hydrological land surface model to represent permafrost
On the representation of water reservoir storage and operations in large-scale hydrological models: implications on model parameterization and climate change impact assessments
Two-stage Variational Mode Decomposition and Support Vector Regression for Streamflow Forecasting
A global Budyko model to partition evaporation into interception and transpiration
Are the effects of vegetation and soil changes as important as climate change impacts on hydrological processes?
Expansion and contraction of the flowing stream network alter hillslope flowpath lengths and the shape of the travel time distribution
A virtual hydrological framework for evaluation of stochastic rainfall models
Assessing the impacts of hydrologic and land use alterations on water temperature in the Farmington River basin in Connecticut
Future shifts in extreme flow regimes in Alpine regions
Time variability and uncertainty in the fraction of young water in a small headwater catchment
Hydrodynamic simulation of the effects of stable in-channel large wood on the flood hydrographs of a low mountain range creek, Ore Mountains, Germany
Technical note: Inherent benchmark or not? Comparing Nash–Sutcliffe and Kling–Gupta efficiency scores
Niger discharge from radar altimetry: bridging gaps between gauge and altimetry time series
Benchmarking the predictive capability of hydrological models for river flow and flood peak predictions across over 1000 catchments in Great Britain
Quantification of different flow components in a high-altitude glacierized catchment (Dudh Koshi, Himalaya): some cryospheric-related issues
Global sinusoidal seasonality in precipitation isotopes
Stefania Camici, Christian Massari, Luca Ciabatta, Ivan Marchesini, and Luca Brocca
Hydrol. Earth Syst. Sci., 24, 4869–4885, https://doi.org/10.5194/hess-24-4869-2020, https://doi.org/10.5194/hess-24-4869-2020, 2020
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The paper performs the most comprehensive European-scale evaluation to date of satellite rainfall products for river flow prediction. In doing so, how errors transfer from satellite-based rainfall products into flood simulation is investigated in depth and, for the first time, quantitative guidelines on the use of these products for hydrological applications are provided. This result can represent a keystone in the use of satellite rainfall products, especially in data-scarce regions.
Renaud Hostache, Dominik Rains, Kaniska Mallick, Marco Chini, Ramona Pelich, Hans Lievens, Fabrizio Fenicia, Giovanni Corato, Niko E. C. Verhoest, and Patrick Matgen
Hydrol. Earth Syst. Sci., 24, 4793–4812, https://doi.org/10.5194/hess-24-4793-2020, https://doi.org/10.5194/hess-24-4793-2020, 2020
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Our objective is to investigate how satellite microwave sensors, particularly Soil Moisture and Ocean Salinity (SMOS), may help to reduce errors and uncertainties in soil moisture simulations with a large-scale conceptual hydro-meteorological model. We assimilated a long time series of SMOS observations into a hydro-meteorological model and showed that this helps to improve model predictions. This work therefore contributes to the development of faster and more accurate drought prediction tools.
Hui Sheng, Xiaomei Xu, Jian Hua Gao, Albert J. Kettner, Yong Shi, Chengfeng Xue, Ya Ping Wang, and Shu Gao
Hydrol. Earth Syst. Sci., 24, 4743–4761, https://doi.org/10.5194/hess-24-4743-2020, https://doi.org/10.5194/hess-24-4743-2020, 2020
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This paper investigates the variability of past flooding by applying a numerical model coupled with historical records of regional climate and anthropogenic activity under the deficiency of observations. We conclude that trends in flooding frequency were predominantly modulated by the intensity and frequency of extreme rainfall events, which highlights the need for the implementation of effective river engineering measures to counteract increasing flood risks as a result of the future.
Marc Girons Lopez, Marc J. P. Vis, Michal Jenicek, Nena Griessinger, and Jan Seibert
Hydrol. Earth Syst. Sci., 24, 4441–4461, https://doi.org/10.5194/hess-24-4441-2020, https://doi.org/10.5194/hess-24-4441-2020, 2020
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Snow processes are crucial for runoff in mountainous areas, but their complexity makes water management difficult. Temperature models are widely used as they are simple and do not require much data, but not much thought is usually given to which model to use, which may lead to bad predictions. We studied the impact of many model alternatives and found that a more complex model does not necessarily perform better. Finding which processes are most important in each area is a much better strategy.
Uwe Ehret, Rik van Pruijssen, Marina Bortoli, Ralf Loritz, Elnaz Azmi, and Erwin Zehe
Hydrol. Earth Syst. Sci., 24, 4389–4411, https://doi.org/10.5194/hess-24-4389-2020, https://doi.org/10.5194/hess-24-4389-2020, 2020
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In this paper we propose adaptive clustering as a new method for reducing the computational efforts of distributed modelling. It consists of identifying similar-acting model elements during the runtime, clustering them, running the model for just a few representatives per cluster, and mapping their results to the remaining model elements in the cluster. With the example of a hydrological model, we show that this saves considerable computation time, while largely maintaining the output quality.
Francesco Avanzi, Joseph Rungee, Tessa Maurer, Roger Bales, Qin Ma, Steven Glaser, and Martha Conklin
Hydrol. Earth Syst. Sci., 24, 4317–4337, https://doi.org/10.5194/hess-24-4317-2020, https://doi.org/10.5194/hess-24-4317-2020, 2020
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Multi-year droughts in Mediterranean climates often see a lower fraction of precipitation allocated to runoff compared to non-drought years. By comparing observed water-balance components with simulations by a hydrologic model (PRMS), we reinterpret these shifts as a hysteretic response of the water budget to climate elasticity of evapotranspiration. Our results point to a general improvement in hydrologic predictions across drought and recovery cycles by including this mechanism.
Manuela I. Brunner, Lieke A. Melsen, Andrew J. Newman, Andrew W. Wood, and Martyn P. Clark
Hydrol. Earth Syst. Sci., 24, 3951–3966, https://doi.org/10.5194/hess-24-3951-2020, https://doi.org/10.5194/hess-24-3951-2020, 2020
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Streamflow seasonality is changing and expected to further change under the influence of climate change. We here assess how annual streamflow hydrographs will change in future by using a newly developed classification scheme. Our comparison of future with current annual hydrograph classes shows that robust changes are expected only for currently melt-influenced regions in the Rocky Mountains. These upstream changes may require the adaptation of management strategies in downstream regions.
Kirsti Hakala, Nans Addor, Thibault Gobbe, Johann Ruffieux, and Jan Seibert
Hydrol. Earth Syst. Sci., 24, 3815–3833, https://doi.org/10.5194/hess-24-3815-2020, https://doi.org/10.5194/hess-24-3815-2020, 2020
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Under a changing climate, reliable information on future hydrological conditions is necessary to inform water resource management. Here, we collaborated with a hydropower company that selected streamflow and energy demand indices. Using these indices, we identified stakeholder needs and used this to tailor the production of our climate change impact projections. We show that opportunities and risks for a hydropower company depend on a range of factors beyond those covered by traditional studies.
Dieter Scherer
Hydrol. Earth Syst. Sci., 24, 3835–3850, https://doi.org/10.5194/hess-24-3835-2020, https://doi.org/10.5194/hess-24-3835-2020, 2020
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During the Pliocene, the Qaidam Basin on the Tibetan Plateau contained a mega-lake system. During the Pleistocene, it disappeared almost completely. Today, hyperarid climates prevail in the low-altitude parts of the basin. This study reveals that today's mean water balance of the Qaidam Basin is nearly zero and is positive during warmer, less dry years. The results explain how the mega-lake system could survive for a long time in the past and could eventually be restored in the future.
Jianzhuang Pang, Huilan Zhang, Quanxi Xu, Yujie Wang, Yunqi Wang, Ouyang Zhang, and Jiaxin Hao
Hydrol. Earth Syst. Sci., 24, 3603–3626, https://doi.org/10.5194/hess-24-3603-2020, https://doi.org/10.5194/hess-24-3603-2020, 2020
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As frequently used precipitation products, Gauge, CPC, and CHIRPS presented different behaviors in describing precipitation on different spatial and temporal scales, yet these dissimilarities could be concealed in hydrological modeling by parameter calibration and validation. Parameter adjustment in hydrologic modeling, however, would yield different water balance components and thus alter hydrologic mechanisms, demonstrating the complexity in physically describing natural hydrologic processes.
Stefano Manzoni, Giorgos Maneas, Anna Scaini, Basil E. Psiloglou, Georgia Destouni, and Steve W. Lyon
Hydrol. Earth Syst. Sci., 24, 3557–3571, https://doi.org/10.5194/hess-24-3557-2020, https://doi.org/10.5194/hess-24-3557-2020, 2020
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A modeling tool is developed to assess the vulnerability of coastal wetlands to climatic and water management changes. Applied to the case study of the Gialova lagoon (Greece), this tool highlights the reliance of the lagoon functionality on scarce freshwater sources already under high demand from agriculture. Climatic changes will likely increase lagoon salinity, despite efforts to improve water management.
Doris Duethmann, Günter Blöschl, and Juraj Parajka
Hydrol. Earth Syst. Sci., 24, 3493–3511, https://doi.org/10.5194/hess-24-3493-2020, https://doi.org/10.5194/hess-24-3493-2020, 2020
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We investigate why a conceptual hydrological model failed to correctly predict observed discharge changes in response to increasing precipitation and air temperature in 156 Austrian catchments. Simulations indicate that poor model performance is related to two problems, namely a model structure that neglects changes in vegetation dynamics and inhomogeneities in precipitation data caused by changes in stations density with time. Other hypotheses did not improve simulated discharge changes.
Fadji Z. Maina, Erica R. Siirila-Woodburn, and Pouya Vahmani
Hydrol. Earth Syst. Sci., 24, 3451–3474, https://doi.org/10.5194/hess-24-3451-2020, https://doi.org/10.5194/hess-24-3451-2020, 2020
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Projecting the changes in water resources under a no-analog future climate requires integrated hydrologic models. However, these models are plagued by several sources of uncertainty. A hydrologic model was forced with various resolutions of meteorological forcing (0.5 to 40.5 km) to assess its sensitivity to these inputs. We show that most hydrologic variables reveal biases that are seasonally and spatially dependent, which can have serious implications for calibration and water management.
Petra Hulsman, Hessel C. Winsemius, Claire I. Michailovsky, Hubert H. G. Savenije, and Markus Hrachowitz
Hydrol. Earth Syst. Sci., 24, 3331–3359, https://doi.org/10.5194/hess-24-3331-2020, https://doi.org/10.5194/hess-24-3331-2020, 2020
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In the absence of discharge data in ungauged basins, remotely sensed river water level data, i.e. altimetry, may provide valuable information to calibrate hydrological models. This study illustrated that for large rivers in data-scarce regions, river altimetry data from multiple locations combined with GRACE data have the potential to fill this gap when combined with estimates of the river geometry, thereby allowing a step towards more reliable hydrological modelling in data-scarce regions.
Paolo Nasta, Carolina Allocca, Roberto Deidda, and Nunzio Romano
Hydrol. Earth Syst. Sci., 24, 3211–3227, https://doi.org/10.5194/hess-24-3211-2020, https://doi.org/10.5194/hess-24-3211-2020, 2020
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Rainfall seasonal anomalies in a Mediterranean climate are assessed by using two distinct approaches: a static approach based on the standardized precipitation index and a dynamic approach that identifies the rainy season by considering rainfall magnitude, timing, and duration. The impact of rainfall seasonality on catchment-scale water balance components is evaluated through scenario-based simulations of the Soil Water Assessment Tool in the upper Alento River catchment in southern Italy.
Julien Ackerer, Benjamin Jeannot, Frederick Delay, Sylvain Weill, Yann Lucas, Bertrand Fritz, Daniel Viville, and François Chabaux
Hydrol. Earth Syst. Sci., 24, 3111–3133, https://doi.org/10.5194/hess-24-3111-2020, https://doi.org/10.5194/hess-24-3111-2020, 2020
Olivier Champagne, M. Altaf Arain, Martin Leduc, Paulin Coulibaly, and Shawn McKenzie
Hydrol. Earth Syst. Sci., 24, 3077–3096, https://doi.org/10.5194/hess-24-3077-2020, https://doi.org/10.5194/hess-24-3077-2020, 2020
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Using 50 members of one regional climate model and a processed-based hydrological model applied in four river basins in southern Ontario, this work focused on the winter streamflow projection uncertainties for the first half of 21st century. The results show a January–February increase of streamflow for the 50 projections due to early snowmelt and a rainfall increase. The streamflow projections are also modulated by the change of pressure patterns advecting different air masses over the region.
Ingo Heidbüchel, Jie Yang, Andreas Musolff, Peter Troch, Ty Ferré, and Jan H. Fleckenstein
Hydrol. Earth Syst. Sci., 24, 2895–2920, https://doi.org/10.5194/hess-24-2895-2020, https://doi.org/10.5194/hess-24-2895-2020, 2020
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With the help of a 3-D computer model we examined how long the water of different rain events stays inside small catchments before it is discharged and how the nature of this discharge is controlled by different catchment and climate properties. We found that one can only predict the discharge dynamics when taking into account a combination of catchment and climate properties (i.e., there was not one single most important predictor). Our results can help to manage water pollution events.
David Dziubanski, Kristie J. Franz, and William Gutowski
Hydrol. Earth Syst. Sci., 24, 2873–2894, https://doi.org/10.5194/hess-24-2873-2020, https://doi.org/10.5194/hess-24-2873-2020, 2020
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We describe a socio-hydrologic model that couples an agent-based model (ABM) of human decision-making with a hydrologic model. We establish this model for a typical agricultural watershed in Iowa, USA, and simulate the evolution of large discharge events over a 47-year period under changing land use. Using this modeling approach, relationships between seemingly unrelated variables such as crop markets or crop yields and local peak flow trends are quantified.
Xing Fang and John W. Pomeroy
Hydrol. Earth Syst. Sci., 24, 2731–2754, https://doi.org/10.5194/hess-24-2731-2020, https://doi.org/10.5194/hess-24-2731-2020, 2020
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High-resolution Weather Research and Forecasting model near-surface outputs from control and future periods were bias-corrected by downscaling outputs with respect to meteorological stations in Marmot Creek Research Basin, Canadian Rocky Mountains. A hydrological model simulation driven by the bias-corrected outputs showed declined seasonal peak snowpack, shorter snow-cover duration, higher evapotranspiration, and increased streamflow discharge in Marmot Creek for the warmer and wetter future.
Denis Ruelland
Hydrol. Earth Syst. Sci., 24, 2609–2632, https://doi.org/10.5194/hess-24-2609-2020, https://doi.org/10.5194/hess-24-2609-2020, 2020
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Interpolation methods accounting for elevation dependency from scattered gauges result in inaccurate inputs for snow-hydrological models. Altitudinal gradients of temperature and precipitation can be successfully inferred using an inverse snow-hydrological modelling approach. This approach can significantly improve the simulation of snow cover and streamflow dynamics through more parsimonious parametrization.
Nils H. Kaplan, Theresa Blume, and Markus Weiler
Hydrol. Earth Syst. Sci. Discuss., https://doi.org/10.5194/hess-2020-181, https://doi.org/10.5194/hess-2020-181, 2020
Revised manuscript accepted for HESS
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In the recent decades the demand for detailed information of spatial and temporal dynamics of the stream network had grown in the fields of eco-hydrology and extreme flow prediction. We use temporal streamflow intermittency data obtained at various sites using innovative sensing technology as well as spatial predictors to predict and map probabilities of stream flow intermittency. This approach has the potential to provide intermittency maps for hydrological modelling and management practice.
Mostafa Tarek, François P. Brissette, and Richard Arsenault
Hydrol. Earth Syst. Sci., 24, 2527–2544, https://doi.org/10.5194/hess-24-2527-2020, https://doi.org/10.5194/hess-24-2527-2020, 2020
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The ERA5 reanalysis dataset is characterized by its high spatial (0.25) and temporal (hourly) resolutions and has therefore a large potential to drive environmental models in regions where the network of stations is deficient. ERA5 performance is evaluated on 3138 North American catchments. Results indicate that for hydrological modelling, ERA5 precipitation and temperature are just as good as observation all over North America, with the exception of the eastern half of the US.
Shengli Liao, Zhanwei Liu, Benxi Liu, Chuntian Cheng, Xinfeng Jin, and Zhipeng Zhao
Hydrol. Earth Syst. Sci., 24, 2343–2363, https://doi.org/10.5194/hess-24-2343-2020, https://doi.org/10.5194/hess-24-2343-2020, 2020
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Inflow forecasting plays an essential role in reservoir management and operation. To improve the accuracy of multistep-ahead daily inflow forecasting, the paper develops a new hybrid inflow forecast framework using ERA-Interim data. We find that the framework significantly enhances the accuracy of inflow forecasting at lead times of 4–10 d compared with widely used and mature methods. This research provides a reference for operational inflow forecasting in remote regions.
Seyed-Mohammad Hosseini-Moghari, Shahab Araghinejad, Mohammad J. Tourian, Kumars Ebrahimi, and Petra Döll
Hydrol. Earth Syst. Sci., 24, 1939–1956, https://doi.org/10.5194/hess-24-1939-2020, https://doi.org/10.5194/hess-24-1939-2020, 2020
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This paper uses a multi-objective approach for calibrating the WGHM model to determine the role of human water use and climate variations in the recent loss of water storage in Lake Urmia basin, Iran. We found that even without human water use Lake Urmia would not have recovered from the significant loss of lake water volume caused by the drought year 2008.
Brian Berkowitz and Erwin Zehe
Hydrol. Earth Syst. Sci., 24, 1831–1858, https://doi.org/10.5194/hess-24-1831-2020, https://doi.org/10.5194/hess-24-1831-2020, 2020
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We present a
blueprintfor a unified modelling framework to quantify chemical transport in both surface water and groundwater systems. There has been extensive debate over recent decades, particularly in the surface water literature, about how to explain and account for long travel times of chemical species that are distinct from water flow (rainfall-runoff) travel times. We suggest a powerful modelling framework known to be robust and effective from the field of groundwater hydrology.
Barbara Glaser, Marta Antonelli, Luisa Hopp, and Julian Klaus
Hydrol. Earth Syst. Sci., 24, 1393–1413, https://doi.org/10.5194/hess-24-1393-2020, https://doi.org/10.5194/hess-24-1393-2020, 2020
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The inundation of flood-prone areas can have crucial impacts on runoff generation and water quality. We investigate the variation of flooding in space and time along a small stream with long-term observations and numerical simulations. We demonstrate that the main reason for the flooding is the exfiltration of groundwater into local topographic depressions. However, only interplay with further influencing factors can explain all of the variability of the observed flooding patterns and dynamics.
Nicolás Velásquez, Carlos D. Hoyos, Jaime I. Vélez, and Esneider Zapata
Hydrol. Earth Syst. Sci., 24, 1367–1392, https://doi.org/10.5194/hess-24-1367-2020, https://doi.org/10.5194/hess-24-1367-2020, 2020
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During 18 May 2015, a storm event produced a flash flood in the municipality of Salgar (northwestern Colombian Andes), resulting in more than 100 human casualties and significant economic losses. Here we present a modeled process reconstruction of what happened during this event. For this, we only use radar rainfall estimations and a digital elevation model. Results show that with scarce data there is an opportunity to obtain acceptable tools for risk management and decision making.
Tian Lan, Kairong Lin, Chong-Yu Xu, Xuezhi Tan, and Xiaohong Chen
Hydrol. Earth Syst. Sci., 24, 1347–1366, https://doi.org/10.5194/hess-24-1347-2020, https://doi.org/10.5194/hess-24-1347-2020, 2020
Marco Dal Molin, Mario Schirmer, Massimiliano Zappa, and Fabrizio Fenicia
Hydrol. Earth Syst. Sci., 24, 1319–1345, https://doi.org/10.5194/hess-24-1319-2020, https://doi.org/10.5194/hess-24-1319-2020, 2020
Antoine Pelletier and Vazken Andréassian
Hydrol. Earth Syst. Sci., 24, 1171–1187, https://doi.org/10.5194/hess-24-1171-2020, https://doi.org/10.5194/hess-24-1171-2020, 2020
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There are many ways for water to join a river after a rainfall event, but they can be split into two categories: the quick ones that remain in the surface and the slow ones that use other trajectories. Thus, measured streamflow of a river can be split into two components: quickflow and baseflow. We present a new method to perform this separation, using only streamflow and rainfall data, which are generally broadly available. It is then used as an analysis tool of river dynamics over France.
Femke A. Jansen and Adriaan J. Teuling
Hydrol. Earth Syst. Sci., 24, 1055–1072, https://doi.org/10.5194/hess-24-1055-2020, https://doi.org/10.5194/hess-24-1055-2020, 2020
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We characterized the (dis)agreement between six evaporation methods from hourly to decadal timescales, focussing on the IJsselmeer region in the Netherlands. The projected changes in mean yearly water losses through evaporation between the years 2000 and 2100 range from 4 mm to 94 mm among the methods. We therefore stress that the choice of method is of great importance for water managers in their decision making.
Mattia Neri, Juraj Parajka, and Elena Toth
Hydrol. Earth Syst. Sci. Discuss., https://doi.org/10.5194/hess-2020-38, https://doi.org/10.5194/hess-2020-38, 2020
Revised manuscript accepted for HESS
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One of the most informative way to gain information on ungauged river sections is through the implementation of a rainfall-runoff model, exploiting the information collected in gauged catchments in the study area.
This study analyses how the performances of different model regionalisation approaches are influenced by the information content of the available regional data set, in order to identify the methods that are more suitable to the data availability in the region.
Michael Stoelzle, Tobias Schuetz, Markus Weiler, Kerstin Stahl, and Lena M. Tallaksen
Hydrol. Earth Syst. Sci., 24, 849–867, https://doi.org/10.5194/hess-24-849-2020, https://doi.org/10.5194/hess-24-849-2020, 2020
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During dry weather, different delayed sources of runoff (e.g. from groundwater, wetlands or snowmelt) modulate the magnitude and variability of streamflow. Hydrograph separation methods often do not distinguish these delayed contributions and mostly pool them into only two components (i.e. quickflow and baseflow). We propose a method that uncovers multiple components and demonstrates how they better reflect streamflow generation processes of different flow regimes.
Mohamed E. Elshamy, Daniel Princz, Gonzalo Sapriza-Azuri, Mohamed S. Abdelhamed, Al Pietroniro, Howard S. Wheater, and Saman Razavi
Hydrol. Earth Syst. Sci., 24, 349–379, https://doi.org/10.5194/hess-24-349-2020, https://doi.org/10.5194/hess-24-349-2020, 2020
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Permafrost is an important feature of cold-region hydrology and needs to be properly represented in hydrological and land surface models (H-LSMs), especially under the observed and expected climate warming trends. This study aims to devise a robust, yet computationally efficient, initialization and parameterization approach for permafrost. We used permafrost observations from three sites along the Mackenzie River valley spanning different permafrost classes to test the validity of the approach.
Thanh Duc Dang, A. F. M. Kamal Chowdhury, and Stefano Galelli
Hydrol. Earth Syst. Sci., 24, 397–416, https://doi.org/10.5194/hess-24-397-2020, https://doi.org/10.5194/hess-24-397-2020, 2020
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A common problem in catchment hydrology lies in the representation of dams in numerical models. Here, we contribute to the existing literature by showing that the representation of water reservoirs can largely impact the model parameters, a result attained by comparing the parameters of a model for the upper Mekong basin built with or without reservoirs. We show that a flawed parameter estimation affects the representation of key physical processes and the downstream applications of the model.
Ganggang Zuo, Jungang Luo, Ni Wang, Yani Lian, and Xinxin He
Hydrol. Earth Syst. Sci. Discuss., https://doi.org/10.5194/hess-2019-565, https://doi.org/10.5194/hess-2019-565, 2019
Preprint under review for HESS
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A two-stage variational mode decomposition (VMD) and support vector regression (SVR), i.e., VMD-SVR, was designed to reduce the influence of boundary effect and improve forecasting performance and efficiency when forecasting monthly runoff. The research results indicate VMD-SVR significantly reduces the influence of boundary effect, saves modeling time and computation resources, barely overfits the training samples, forecasts monthly runoff reasonably well compared to the benchmark models.
Ameneh Mianabadi, Miriam Coenders-Gerrits, Pooya Shirazi, Bijan Ghahraman, and Amin Alizadeh
Hydrol. Earth Syst. Sci., 23, 4983–5000, https://doi.org/10.5194/hess-23-4983-2019, https://doi.org/10.5194/hess-23-4983-2019, 2019
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Evaporation is the biggest water consumer of the rainfall that falls on the land. Knowing its magnitude will help water resources to develop water use strategies. This study describes a model that can estimate the magnitude of evaporation on a global level. It does not use local information, only information from rainfall and vegetation patterns derived from satellites.
Kabir Rasouli, John W. Pomeroy, and Paul H. Whitfield
Hydrol. Earth Syst. Sci., 23, 4933–4954, https://doi.org/10.5194/hess-23-4933-2019, https://doi.org/10.5194/hess-23-4933-2019, 2019
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The combined effects of changes in climate, vegetation, and soils on mountain hydrology were modeled in three mountain basins. In the Yukon, an insignificant increasing effect of vegetation change on snow was found to be important enough to offset the climate change effect. In the Canadian Rockies, a combined effect of soil and climate change on runoff became significant, whereas their individual effects were not significant. Only vegetation change decreased runoff in the basin in Idaho.
H. J. Ilja van Meerveld, James W. Kirchner, Marc J. P. Vis, Rick S. Assendelft, and Jan Seibert
Hydrol. Earth Syst. Sci., 23, 4825–4834, https://doi.org/10.5194/hess-23-4825-2019, https://doi.org/10.5194/hess-23-4825-2019, 2019
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Flowing stream networks extend and retract seasonally and in response to precipitation. This affects the distances and thus the time that it takes a water molecule to reach the flowing stream and the stream outlet. When the network is fully extended, the travel times are short, but when the network retracts, the travel times become longer and more uniform. These dynamics should be included when modeling solute or pollutant transport.
Bree Bennett, Mark Thyer, Michael Leonard, Martin Lambert, and Bryson Bates
Hydrol. Earth Syst. Sci., 23, 4783–4801, https://doi.org/10.5194/hess-23-4783-2019, https://doi.org/10.5194/hess-23-4783-2019, 2019
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A new stochastic rainfall model evaluation framework is introduced, with three key features: (1) streamflow-based, to directly evaluate modelled streamflow performance, (2) virtual, to avoid confounding errors in hydrological models or data, and (3) targeted, to isolate errors according to specific sites/months. The framework identified the importance of rainfall in the
wetting-upmonths for providing reliable predictions of streamflow over the entire year despite their low flow volumes.
John R. Yearsley, Ning Sun, Marisa Baptiste, and Bart Nijssen
Hydrol. Earth Syst. Sci., 23, 4491–4508, https://doi.org/10.5194/hess-23-4491-2019, https://doi.org/10.5194/hess-23-4491-2019, 2019
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This study investigates the impact of dam-induced hydrologic alterations and modification of riparian buffers on stream temperatures and thermal habitat for aquatic species. We enhanced and applied a model system (DHSVM-RBM) that couples a distributed hydrologic model, DHSVM, with the distributed stream temperature model, RBM, in the Farmington River basin in the Connecticut River system, which includes varying types of watershed development (e.g., deforestation and reservoirs).
Manuela I. Brunner, Daniel Farinotti, Harry Zekollari, Matthias Huss, and Massimiliano Zappa
Hydrol. Earth Syst. Sci., 23, 4471–4489, https://doi.org/10.5194/hess-23-4471-2019, https://doi.org/10.5194/hess-23-4471-2019, 2019
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River flow regimes are expected to change and so are extreme flow regimes. We propose two methods for estimating extreme flow regimes and show on a data set from Switzerland how these extreme regimes are expected to change. Our results show that changes in low- and high-flow regimes are distinct for rainfall- and melt-dominated regions. Our findings provide guidance in water resource planning and management.
Michael Paul Stockinger, Heye Reemt Bogena, Andreas Lücke, Christine Stumpp, and Harry Vereecken
Hydrol. Earth Syst. Sci., 23, 4333–4347, https://doi.org/10.5194/hess-23-4333-2019, https://doi.org/10.5194/hess-23-4333-2019, 2019
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Precipitation moves through the soil to become stream water. The fraction of precipitation that becomes stream water after 3 months (Fyw) can be calculated with the stable isotopes of water. Previously, this was done for all the isotope data available, e.g., for several years. We used 1 year of data to calculate Fyw and moved this calculation time window over the time series. Results highlight that Fyw varies in time. Comparison studies of different regions should take this into account.
Daniel Rasche, Christian Reinhardt-Imjela, Achim Schulte, and Robert Wenzel
Hydrol. Earth Syst. Sci., 23, 4349–4365, https://doi.org/10.5194/hess-23-4349-2019, https://doi.org/10.5194/hess-23-4349-2019, 2019
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Large woody debris (LWD) is a natural element of mountain streams that has many positive ecological effects. In the present study, we investigate different techniques of incorporating stable in-channel LWD in a hydrodynamic model to simulate its impact on flood hydrographs in a small high-gradient creek. The results indicate the applicability of different integration methods with respect to the simulation scale.
Wouter J. M. Knoben, Jim E. Freer, and Ross A. Woods
Hydrol. Earth Syst. Sci., 23, 4323–4331, https://doi.org/10.5194/hess-23-4323-2019, https://doi.org/10.5194/hess-23-4323-2019, 2019
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The accuracy of model simulations can be quantified with so-called efficiency metrics. The Nash–Sutcliffe efficiency (NSE) has been often used in hydrology, but recently the Kling–Gupta efficiency (KGE) is gaining in popularity. We show that lessons learned about which NSE scores are
acceptabledo not necessarily translate well into understanding of the KGE metric.
Stefan Schröder, Anne Springer, Jürgen Kusche, Bernd Uebbing, Luciana Fenoglio-Marc, Bernd Diekkrüger, and Thomas Poméon
Hydrol. Earth Syst. Sci., 23, 4113–4128, https://doi.org/10.5194/hess-23-4113-2019, https://doi.org/10.5194/hess-23-4113-2019, 2019
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We propose deriving altimetric rating curves by
bridginggaps between time series from gauge and altimeter measurements using hydrological model simulations. We investigate several stations at the Niger River, which is a challenging region. We show that altimetry reproduces discharge well and enables continuing the gauge time series, albeit at a lower temporal resolution.
Rosanna A. Lane, Gemma Coxon, Jim E. Freer, Thorsten Wagener, Penny J. Johnes, John P. Bloomfield, Sheila Greene, Christopher J. A. Macleod, and Sim M. Reaney
Hydrol. Earth Syst. Sci., 23, 4011–4032, https://doi.org/10.5194/hess-23-4011-2019, https://doi.org/10.5194/hess-23-4011-2019, 2019
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We evaluated four hydrological model structures and their parameters on over 1100 catchments across Great Britain, considering modelling uncertainties. Models performed well for most catchments but failed in parts of Scotland and south-eastern England. Failures were often linked to inconsistencies in the water balance. This research shows what conceptual lumped models can achieve, gives insights into where and why these models may fail, and provides a benchmark of national modelling capability.
Louise Mimeau, Michel Esteves, Isabella Zin, Hans-Werner Jacobi, Fanny Brun, Patrick Wagnon, Devesh Koirala, and Yves Arnaud
Hydrol. Earth Syst. Sci., 23, 3969–3996, https://doi.org/10.5194/hess-23-3969-2019, https://doi.org/10.5194/hess-23-3969-2019, 2019
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In a context of climate change, the quantification of the contributions of glacier melt, snowmelt, and rain to the river streamflow is a key issue for assessing the current and future water resource availability. This study discusses the representation of the snow and glacier processes in hydrological models and its impact on the estimated flow components, and also addresses the issue of defining the glacier contribution to the river streamflow.
Scott T. Allen, Scott Jasechko, Wouter R. Berghuijs, Jeffrey M. Welker, Gregory R. Goldsmith, and James W. Kirchner
Hydrol. Earth Syst. Sci., 23, 3423–3436, https://doi.org/10.5194/hess-23-3423-2019, https://doi.org/10.5194/hess-23-3423-2019, 2019
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We developed global maps that concisely quantify the seasonality of stable isotope ratios in precipitation, using data from 653 meteorological stations across all seven continents. We make these gridded global maps publicly available to support diverse stable isotope applications.
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