Articles | Volume 25, issue 6
Hydrol. Earth Syst. Sci., 25, 3653–3673, 2021
https://doi.org/10.5194/hess-25-3653-2021
© Author(s) 2021. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Hydrol. Earth Syst. Sci., 25, 3653–3673, 2021
https://doi.org/10.5194/hess-25-3653-2021
© Author(s) 2021. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Research article 30 Jun 2021
Research article | 30 Jun 2021
The value of water isotope data on improving process understanding in a glacierized catchment on the Tibetan Plateau
Yi Nan et al.
Related authors
Yi Nan, Zhihua He, Fuqiang Tian, Zhongwang Wei, and Lide Tian
Hydrol. Earth Syst. Sci. Discuss., https://doi.org/10.5194/hess-2021-244, https://doi.org/10.5194/hess-2021-244, 2021
Revised manuscript under review for HESS
Short summary
Short summary
Hydrological modelling has large problem of uncertainty in cold regions. Tracer-aided hydrological models are increasingly used to reduce uncertainty and refine the parameterizations of hydrological processes, with limited application in large basins due to the unavailability of spatially-distributed precipitation isotope. This study explored the utility of Isotopic General Circulation Models in driving a tracer-aided hydrological model in a large basin on the Tibetan Plateau.
Kunbiao Li, Fuqiang Tian, Mohd Yawar Ali Khan, Ran Xu, Zhihua He, Long Yang, Hui Lu, and Yingzhao Ma
Earth Syst. Sci. Data Discuss., https://doi.org/10.5194/essd-2021-179, https://doi.org/10.5194/essd-2021-179, 2021
Preprint under review for ESSD
Short summary
Short summary
Due to complex climate and topography, there is still a lack of high-quality rainfall dataset for hydrological modelling over Tibetan Plateau. This study aims to establish a high-accuracy daily rainfall product over southern Tibetan Plateau through merging satellite rainfall estimates, based on a high-density rainfall gauge network. Statistical and hydrological evaluation indicated that the new dataset outperforms the raw satellite estimates and several other products of similar types.
Liying Guo, Jing Wei, Keer Zhang, and Fuqiang Tian
Hydrol. Earth Syst. Sci. Discuss., https://doi.org/10.5194/hess-2021-383, https://doi.org/10.5194/hess-2021-383, 2021
Preprint under review for HESS
Short summary
Short summary
Data support is crucial for research of conflict and cooperation on transboundary rivers. Conventional construction manner of dataset by manual reading cannot meet the requirement for fast-updating in the big data era. This study brings up a revised methodological framework based on the conventional and toolkit for news media dataset tracking of conflict and cooperation dynamics on transboundary rivers. A dataset with good trade-offs between data relevance and coverage is generated.
Yi Nan, Zhihua He, Fuqiang Tian, Zhongwang Wei, and Lide Tian
Hydrol. Earth Syst. Sci. Discuss., https://doi.org/10.5194/hess-2021-244, https://doi.org/10.5194/hess-2021-244, 2021
Revised manuscript under review for HESS
Short summary
Short summary
Hydrological modelling has large problem of uncertainty in cold regions. Tracer-aided hydrological models are increasingly used to reduce uncertainty and refine the parameterizations of hydrological processes, with limited application in large basins due to the unavailability of spatially-distributed precipitation isotope. This study explored the utility of Isotopic General Circulation Models in driving a tracer-aided hydrological model in a large basin on the Tibetan Plateau.
Christopher Spence, Zhihua He, Kevin R. Shook, Balew A. Mekonnen, John W. Pomeroy, Colin J. Whitfield, and Jared D. Wolfe
Hydrol. Earth Syst. Sci. Discuss., https://doi.org/10.5194/hess-2021-186, https://doi.org/10.5194/hess-2021-186, 2021
Preprint under review for HESS
Short summary
Short summary
We determined how snow and flow in small creeks change with temperature and precipitation in the Canadian Prairie, a region where water resources are often under stress. We tried something new. Every creek basin in the region was placed into one of seven groups based on their landscape traits. We selected one of these groups, and used its traits to build a model of snow and streamflow. It worked well, and by the 2040s there may be 20–40% less snow and 30% less streamflow than the 1980s.
You Lu, Fuqiang Tian, Liying Guo, Iolanda Borzì, Rupesh Patil, Jing Wei, Dengfeng Liu, Yongping Wei, David J. Yu, and Murugesu Sivapalan
Hydrol. Earth Syst. Sci., 25, 1883–1903, https://doi.org/10.5194/hess-25-1883-2021, https://doi.org/10.5194/hess-25-1883-2021, 2021
Short summary
Short summary
The upstream countries in the transboundary Lancang–Mekong basin build dams for hydropower, while downstream ones gain irrigation and fishery benefits. Dam operation changes the seasonality of runoff downstream, resulting in their concerns. Upstream countries may cooperate and change their regulations of dams to gain indirect political benefits. The socio-hydrological model couples hydrology, reservoir, economy, and cooperation and reproduces the phenomena, providing a useful model framework.
Jing Wei, Yongping Wei, Fuqiang Tian, Natalie Nott, Claire de Wit, Liying Guo, and You Lu
Hydrol. Earth Syst. Sci., 25, 1603–1615, https://doi.org/10.5194/hess-25-1603-2021, https://doi.org/10.5194/hess-25-1603-2021, 2021
Liming Wang, Songjun Han, and Fuqiang Tian
Hydrol. Earth Syst. Sci., 25, 375–386, https://doi.org/10.5194/hess-25-375-2021, https://doi.org/10.5194/hess-25-375-2021, 2021
Short summary
Short summary
It remains unclear at which timescale the complementary principle performs best in estimating evaporation. In this study, evaporation estimation was assessed over 88 eddy covariance monitoring sites at multiple timescales. The results indicate that the generalized complementary functions perform best in estimating evaporation at the monthly scale. This study provides a reference for choosing a suitable time step for evaporation estimations in relevant studies.
Yanbin Lei, Tandong Yao, Lide Tian, Yongwei Sheng, Lazhu, Jingjuan Liao, Huabiao Zhao, Wei Yang, Kun Yang, Etienne Berthier, Fanny Brun, Yang Gao, Meilin Zhu, and Guangjian Wu
The Cryosphere, 15, 199–214, https://doi.org/10.5194/tc-15-199-2021, https://doi.org/10.5194/tc-15-199-2021, 2021
Short summary
Short summary
Two glaciers in the Aru range, western Tibetan Plateau (TP), collapsed suddenly on 17 July and 21 September 2016, respectively, causing fatal damage to local people and their livestock. The impact of the glacier collapses on the two downstream lakes (i.e., Aru Co and Memar Co) is investigated in terms of lake morphology, water level and water temperature. Our results provide a baseline in understanding the future lake response to glacier melting on the TP under a warming climate.
Songjun Han and Fuqiang Tian
Hydrol. Earth Syst. Sci., 24, 2269–2285, https://doi.org/10.5194/hess-24-2269-2020, https://doi.org/10.5194/hess-24-2269-2020, 2020
Short summary
Short summary
The complementary principle is an important methodology for estimating actual evaporation by using routinely observed meteorological variables. This review summaries its 56-year development, focusing on how related studies have shifted from adopting a symmetric linear complementary relationship to employing generalized nonlinear functions. We also compare the polynomial and sigmoid types of generalized complementary functions and discuss their future development.
Yu Ma, Guangheng Ni, Chandrasekar V. Chandra, Fuqiang Tian, and Haonan Chen
Hydrol. Earth Syst. Sci., 23, 4153–4170, https://doi.org/10.5194/hess-23-4153-2019, https://doi.org/10.5194/hess-23-4153-2019, 2019
Short summary
Short summary
Raindrop size distribution (DSD) information is fundamental in understanding the precipitation microphysics and quantitative precipitation estimation. This study extensively investigates the DSD characteristics during rainy seasons in the Beijing urban area using 5-year DSD observations from a Parsivel2 disdrometer. The statistical distributions of DSD parameters are examined and the polarimetric radar rainfall algorithms are derived to support the ongoing development of an X-band radar network.
Mohd Yawar Ali Khan and Fuqiang Tian
Proc. IAHS, 379, 61–66, https://doi.org/10.5194/piahs-379-61-2018, https://doi.org/10.5194/piahs-379-61-2018, 2018
Short summary
Short summary
This study has been conducted on Ramganga River, a major tributary of Ganges River, India, to observe the spatial variation of DOC, dissolved inorganic carbon (DIC), SOC and suspended inorganic carbon (SIC) in river water. The significant conclusions of this investigation revealed that the river and its tributaries show abundance amount of TSC (SOC and SIC) and TDC (DOC and DIC) both in the upstream and downstream. TDC accounts more in river concentration as compared to TSC.
Guanghui Ming, Hongchang Hu, Fuqiang Tian, Zhenyang Peng, Pengju Yang, and Yiqi Luo
Hydrol. Earth Syst. Sci., 22, 3075–3086, https://doi.org/10.5194/hess-22-3075-2018, https://doi.org/10.5194/hess-22-3075-2018, 2018
Short summary
Short summary
The purpose of this research was to detect the effect of plastic film mulching (PFM), a widely applied cultivation method, on soil respiration. We found that soil respiration was not only affected by PFM, but it was also affected by irrigation and precipitation, and whether the PFM increases soil respiration compared to a non-mulched field largely depends on precipitation in the field. The result has an important meaning for agricultural carbon sequestration in the context of global warming.
Ran Xu, Hongchang Hu, Fuqiang Tian, Chao Li, and Mohd Yawar Ali Khan
Hydrol. Earth Syst. Sci. Discuss., https://doi.org/10.5194/hess-2018-251, https://doi.org/10.5194/hess-2018-251, 2018
Manuscript not accepted for further review
Short summary
Short summary
We provide a comprehensive and updated assessment of the impacts of climate change on YBR streamflow by integrating a physically based hydrological model, regional climate integrations, different bias correction methods, and Bayesian model averaging method. By the year 2035, the annual mean streamflow is projected to change respectively by 6.8 % (12.9 %), −0.4 % (13.1 %), and −4.1 % (19.9 %) under RCP4.5 (8.5) relative to the historical period at the Bahadurabad, the upper Brahmaputra outlet, and Nuxia.
Songjun Han, Fuqiang Tian, Ye Liu, and Xianhui Duan
Hydrol. Earth Syst. Sci., 21, 3619–3633, https://doi.org/10.5194/hess-21-3619-2017, https://doi.org/10.5194/hess-21-3619-2017, 2017
Short summary
Short summary
The history of the co-evolution of the coupled human–groundwater system in Cangzhou (a region with the most serious depression cone in the North China Plain) is analyzed with a particular focus on how the groundwater crisis unfolded and how people attempted to settle the crisis. The evolution of the system was substantially impacted by two droughts. Further restoration of groundwater environment could be anticipated, but the occurrence of drought still remains an undetermined external forcing.
Hongbo Zhang, Fan Zhang, Guoqing Zhang, Xiaobo He, and Lide Tian
Atmos. Chem. Phys., 16, 13681–13696, https://doi.org/10.5194/acp-16-13681-2016, https://doi.org/10.5194/acp-16-13681-2016, 2016
Short summary
Short summary
Based on MODIS LST, clouds are believed to affect Tair estimation; however, understanding of the cloud effect on the Tair–LST relationship remains limited. Our paper reveals the subtle influence of clouds that affects Tmin and Tmax estimation in clearly different ways. The results contribute to better understanding of cloud effects and more accurate estimation of Tair using satellite LST.
Zhenyang Peng, Hongchang Hu, Fuqiang Tian, Qiang Tie, and Sihan Zhao
Hydrol. Earth Syst. Sci. Discuss., https://doi.org/10.5194/hess-2016-112, https://doi.org/10.5194/hess-2016-112, 2016
Manuscript not accepted for further review
Short summary
Short summary
Preferential flow (PF) occurred by a frequency of 40.7 % in a semi humid catchment. Possibility of PF occurrence is positively correlated with rainfall features, i.e. rainfall amount, duration, maximum and average intensity, among which the rainfall amount is the dominant driven factor of PF. PF is more likely to occur on gentle slopes with thick surface covers, while high antecedent soil moisture is more likely to be consequence of infiltration capacity, rather than an inducer of PF.
Fuqiang Tian, Yu Sun, Hongchang Hu, and Hongyi Li
Hydrol. Earth Syst. Sci. Discuss., https://doi.org/10.5194/hess-2016-88, https://doi.org/10.5194/hess-2016-88, 2016
Preprint withdrawn
Yong Chen, Xiang-Kai Li, Jing Si, Guang-Jian WU, Li-De Tian, and Shu-Rong Xiang
Biogeosciences Discuss., https://doi.org/10.5194/bg-2015-637, https://doi.org/10.5194/bg-2015-637, 2016
Revised manuscript not accepted
W. Yu, L. Tian, Y. Ma, B. Xu, and D. Qu
Atmos. Chem. Phys., 15, 10251–10262, https://doi.org/10.5194/acp-15-10251-2015, https://doi.org/10.5194/acp-15-10251-2015, 2015
Z. H. He, F. Q. Tian, H. V. Gupta, H. C. Hu, and H. P. Hu
Hydrol. Earth Syst. Sci., 19, 1807–1826, https://doi.org/10.5194/hess-19-1807-2015, https://doi.org/10.5194/hess-19-1807-2015, 2015
D. Liu, F. Tian, M. Lin, and M. Sivapalan
Hydrol. Earth Syst. Sci., 19, 1035–1054, https://doi.org/10.5194/hess-19-1035-2015, https://doi.org/10.5194/hess-19-1035-2015, 2015
Short summary
Short summary
A simplified conceptual socio-hydrological model based on logistic growth curves is developed for the Tarim River basin in western China and is used to illustrate the explanatory power of a co-evolutionary model. The socio-hydrological system is composed of four sub-systems, i.e., the hydrological, ecological, economic, and social sub-systems. The hydrological equation focusing on water balance is coupled to the evolutionary equations of the other three sub-systems.
Z. H. He, J. Parajka, F. Q. Tian, and G. Blöschl
Hydrol. Earth Syst. Sci., 18, 4773–4789, https://doi.org/10.5194/hess-18-4773-2014, https://doi.org/10.5194/hess-18-4773-2014, 2014
Short summary
Short summary
In this paper, we propose a new method for estimating the snowmelt degree-day factor (DDFS) directly from MODIS snow covered area (SCA) and ground-based snow depth data without calibration. Snow density is estimated as the ratio between observed precipitation and changes in the snow volume for days with snow accumulation. DDFS values are estimated as the ratio between changes in the snow water equivalent and difference between the daily temperature and a threshold value for days with snowmelt.
Y. Chen, X.-K. Li, J. Si, G.-J. Wu, L.-D. Tian, and S.-R. Xiang
Biogeosciences Discuss., https://doi.org/10.5194/bgd-11-14531-2014, https://doi.org/10.5194/bgd-11-14531-2014, 2014
Revised manuscript not accepted
Z. Zhang, H. Hu, F. Tian, X. Yao, and M. Sivapalan
Hydrol. Earth Syst. Sci., 18, 3951–3967, https://doi.org/10.5194/hess-18-3951-2014, https://doi.org/10.5194/hess-18-3951-2014, 2014
Y. Liu, F. Tian, H. Hu, and M. Sivapalan
Hydrol. Earth Syst. Sci., 18, 1289–1303, https://doi.org/10.5194/hess-18-1289-2014, https://doi.org/10.5194/hess-18-1289-2014, 2014
Z. Zhang, F. Tian, H. Hu, and P. Yang
Hydrol. Earth Syst. Sci., 18, 1053–1072, https://doi.org/10.5194/hess-18-1053-2014, https://doi.org/10.5194/hess-18-1053-2014, 2014
L. Yang, F. Tian, Y. Sun, X. Yuan, and H. Hu
Hydrol. Earth Syst. Sci., 18, 775–786, https://doi.org/10.5194/hess-18-775-2014, https://doi.org/10.5194/hess-18-775-2014, 2014
Z. He, F. Tian, H. C. Hu, H. V. Gupta, and H. P. Hu
Hydrol. Earth Syst. Sci. Discuss., https://doi.org/10.5194/hessd-11-1253-2014, https://doi.org/10.5194/hessd-11-1253-2014, 2014
Revised manuscript not accepted
Y. Sun, Z. Hou, M. Huang, F. Tian, and L. Ruby Leung
Hydrol. Earth Syst. Sci., 17, 4995–5011, https://doi.org/10.5194/hess-17-4995-2013, https://doi.org/10.5194/hess-17-4995-2013, 2013
Y. Tang, Q. Tang, F. Tian, Z. Zhang, and G. Liu
Hydrol. Earth Syst. Sci., 17, 4471–4480, https://doi.org/10.5194/hess-17-4471-2013, https://doi.org/10.5194/hess-17-4471-2013, 2013
H. Liu, F. Tian, H. C. Hu, H. P. Hu, and M. Sivapalan
Hydrol. Earth Syst. Sci., 17, 805–815, https://doi.org/10.5194/hess-17-805-2013, https://doi.org/10.5194/hess-17-805-2013, 2013
L. Zhao, L. Tian, T. Zwinger, R. Ding, J. Zong, Q. Ye, and J. C. Moore
The Cryosphere Discuss., https://doi.org/10.5194/tcd-7-145-2013, https://doi.org/10.5194/tcd-7-145-2013, 2013
Revised manuscript not accepted
Related subject area
Subject: Catchment hydrology | Techniques and Approaches: Modelling approaches
Reduction of vegetation-accessible water storage capacity after deforestation affects catchment travel time distributions and increases young water fractions in a headwater catchment
Combining split-sample testing and hidden Markov modelling to assess the robustness of hydrological models
Hydrologically informed machine learning for rainfall–runoff modelling: towards distributed modelling
Development and evaluation of 0.05° terrestrial water storage estimates using Community Atmosphere Biosphere Land Exchange (CABLE) land surface model and assimilation of GRACE data
Conditioning ensemble streamflow prediction with the North Atlantic Oscillation improves skill at longer lead times
Technical note: Hydrology modelling R packages – a unified analysis of models and practicalities from a user perspective
A new fractal-theory-based criterion for hydrological model calibration
Machine learning deciphers CO2 sequestration and subsurface flowpaths from stream chemistry
Future changes in annual, seasonal and monthly runoff signatures in contrasting Alpine catchments in Austria
Using hydrologic landscape classification and climatic time series to assess hydrologic vulnerability of the western U.S. to climate
Evaluation of random forests for short-term daily streamflow forecasting in rainfall- and snowmelt-driven watersheds
Performance of automated methods for flash flood inundation mapping: a comparison of a digital terrain model (DTM) filling and two hydrodynamic methods
How is Baseflow Index (BFI) impacted by water resource management practices?
A novel method for cold-region streamflow hydrograph separation using GRACE satellite observations
A Bayesian approach to understanding the key factors influencing temporal variability in stream water quality – a case study in the Great Barrier Reef catchments
Projected changes in Rhine River flood seasonality under global warming
Technical note: Diagnostic efficiency – specific evaluation of model performance
How catchment characteristics influence hydrological pathways and travel times in a boreal landscape
Rainfall–runoff prediction at multiple timescales with a single Long Short-Term Memory network
User-oriented hydrological indices for early warning systems with validation using post-event surveys: flood case studies in the Central Apennine District
Space–time variability in soil moisture droughts in the Himalayan region
Technical Note – RAT: a Robustness Assessment Test for calibrated and uncalibrated hydrological models
A multi-sourced assessment of the spatiotemporal dynamics of soil moisture in the MARINE flash flood model
Climate change impacts model parameter sensitivity – implications for calibration strategy and model diagnostic evaluation
Impact of karst areas on runoff generation, lateral flow and interbasin groundwater flow at the storm-event timescale
Benchmarking Data-Driven Rainfall-Runoff Models in Great Britain: A comparison of LSTM-based models with four lumped conceptual models
Triple oxygen isotope systematics of evaporation and mixing processes in a dynamic desert lake system
Irrigation, damming, and streamflow fluctuations of the Yellow River
Behind the scenes of streamflow model performance
Learning from satellite observations: increased understanding of catchment processes through stepwise model improvement
Diagnosis toward predicting mean annual runoff in ungauged basins
The era of infiltration
A time-varying parameter estimation approach using split-sample calibration based on dynamic programming
Numerical daemons of hydrological models are summoned by extreme precipitation
A history of TOPMODEL
Progressive water deficits during multiyear droughts in basins with long hydrological memory in Chile
A comparison of catchment travel times and storage deduced from deuterium and tritium tracers using StorAge Selection functions
The role and value of distributed precipitation data in hydrological models
Flood spatial coherence, triggers, and performance in hydrological simulations: large-sample evaluation of four streamflow-calibrated models
Effects of spatial resolution of terrain models on modelled discharge and soil loss in Oaxaca, Mexico
Flexible vector-based spatial configurations in land models
Two-stage variational mode decomposition and support vector regression for streamflow forecasting
Predicting probabilities of streamflow intermittency across a temperate mesoscale catchment
Importance of the informative content in the study area when regionalising rainfall-runoff model parameters: the role of nested catchments and gauging station density
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
Markus Hrachowitz, Michael Stockinger, Miriam Coenders-Gerrits, Ruud van der Ent, Heye Bogena, Andreas Lücke, and Christine Stumpp
Hydrol. Earth Syst. Sci., 25, 4887–4915, https://doi.org/10.5194/hess-25-4887-2021, https://doi.org/10.5194/hess-25-4887-2021, 2021
Short summary
Short summary
Deforestation affects how catchments store and release water. Here we found that deforestation in the study catchment led to a 20 % increase in mean runoff, while reducing the vegetation-accessible water storage from about 258 to 101 mm. As a consequence, fractions of young water in the stream increased by up to 25 % during wet periods. This implies that water and solutes are more rapidly routed to the stream, which can, after contamination, lead to increased contaminant peak concentrations.
Etienne Guilpart, Vahid Espanmanesh, Amaury Tilmant, and François Anctil
Hydrol. Earth Syst. Sci., 25, 4611–4629, https://doi.org/10.5194/hess-25-4611-2021, https://doi.org/10.5194/hess-25-4611-2021, 2021
Short summary
Short summary
The stationary assumption in hydrology has become obsolete because of climate changes. In that context, it is crucial to assess the performance of a hydrologic model over a wide range of climates and their corresponding hydrologic conditions. In this paper, numerous, contrasted, climate sequences identified by a hidden Markov model (HMM) are used in a differential split-sample testing framework to assess the robustness of a hydrologic model. We illustrate the method on the Senegal River.
Herath Mudiyanselage Viraj Vidura Herath, Jayashree Chadalawada, and Vladan Babovic
Hydrol. Earth Syst. Sci., 25, 4373–4401, https://doi.org/10.5194/hess-25-4373-2021, https://doi.org/10.5194/hess-25-4373-2021, 2021
Short summary
Short summary
Existing hydrological knowledge has been integrated with genetic programming based on a machine learning algorithm (MIKA-SHA) to induce readily interpretable distributed rainfall–runoff models. At present, the model building components of two flexible modelling frameworks (FUSE and SUPERFLEX) represent the elements of hydrological knowledge. The proposed toolkit captures spatial variabilities and automatically induces semi-distributed rainfall–runoff models without any explicit user selections.
Natthachet Tangdamrongsub, Michael F. Jasinski, and Peter J. Shellito
Hydrol. Earth Syst. Sci., 25, 4185–4208, https://doi.org/10.5194/hess-25-4185-2021, https://doi.org/10.5194/hess-25-4185-2021, 2021
Short summary
Short summary
Accurate estimation of terrestrial water storage (TWS) is essential for reliable water resource assessments. TWS can be estimated from the Community Atmosphere–Biosphere Land Exchange model (CABLE), but the resolution is limited to 0.5°. We reconfigure CABLE to improve TWS spatial details from 0.5° to 0.05°. GRACE satellite data are assimilated into CABLE to improve TWS accuracy. Our workflow relies only on publicly accessible data, allowing reproduction of 0.05° TWS in any region.
Seán Donegan, Conor Murphy, Shaun Harrigan, Ciaran Broderick, Dáire Foran Quinn, Saeed Golian, Jeff Knight, Tom Matthews, Christel Prudhomme, Adam A. Scaife, Nicky Stringer, and Robert L. Wilby
Hydrol. Earth Syst. Sci., 25, 4159–4183, https://doi.org/10.5194/hess-25-4159-2021, https://doi.org/10.5194/hess-25-4159-2021, 2021
Short summary
Short summary
We benchmarked the skill of ensemble streamflow prediction (ESP) for a diverse sample of 46 Irish catchments. We found that ESP is skilful in the majority of catchments up to several months ahead. However, the level of skill was strongly dependent on lead time, initialisation month, and individual catchment location and storage properties. We also conditioned ESP with the winter North Atlantic Oscillation and show that improvements in forecast skill, reliability, and discrimination are possible.
Paul C. Astagneau, Guillaume Thirel, Olivier Delaigue, Joseph H. A. Guillaume, Juraj Parajka, Claudia C. Brauer, Alberto Viglione, Wouter Buytaert, and Keith J. Beven
Hydrol. Earth Syst. Sci., 25, 3937–3973, https://doi.org/10.5194/hess-25-3937-2021, https://doi.org/10.5194/hess-25-3937-2021, 2021
Short summary
Short summary
The R programming language has become an important tool for many applications in hydrology. In this study, we provide an analysis of some of the R tools providing hydrological models. In total, two aspects are uniformly investigated, namely the conceptualisation of the models and the practicality of their implementation for end-users. These comparisons aim at easing the choice of R tools for users and at improving their usability for hydrology modelling to support more transferable research.
Zhixu Bai, Yao Wu, Di Ma, and Yue-Ping Xu
Hydrol. Earth Syst. Sci., 25, 3675–3690, https://doi.org/10.5194/hess-25-3675-2021, https://doi.org/10.5194/hess-25-3675-2021, 2021
Short summary
Short summary
To test our hypothesis that the fractal dimensions of streamflow series can be used to improve the calibration of hydrological models, we designed the E–RD efficiency ratio of fractal dimensions strategy and examined its usability in the calibration of lumped models. The results reveal that, in most aspects, introducing RD into model calibration makes the simulation of streamflow components more reasonable. Also, pursuing a better RD during calibration leads to only a minor decrease in E.
Andrew R. Shaughnessy, Xin Gu, Tao Wen, and Susan L. Brantley
Hydrol. Earth Syst. Sci., 25, 3397–3409, https://doi.org/10.5194/hess-25-3397-2021, https://doi.org/10.5194/hess-25-3397-2021, 2021
Short summary
Short summary
It is often difficult to determine the sources of solutes in streams and how much each source contributes. We developed a new method of unmixing stream chemistry via machine learning. We found that sulfate in three watersheds is related to groundwater flowpaths. Our results emphasize that acid rain reduces a watershed's capacity to remove CO2 from the atmosphere, a key geological control on climate. Our method will help scientists unmix stream chemistry in watersheds where sources are unknown.
Sarah Hanus, Markus Hrachowitz, Harry Zekollari, Gerrit Schoups, Miren Vizcaino, and Roland Kaitna
Hydrol. Earth Syst. Sci., 25, 3429–3453, https://doi.org/10.5194/hess-25-3429-2021, https://doi.org/10.5194/hess-25-3429-2021, 2021
Short summary
Short summary
This study investigates the effects of climate change on runoff patterns in six Alpine catchments in Austria at the end of the 21st century. Our results indicate a substantial shift to earlier occurrences in annual maximum and minimum flows in high-elevation catchments. Magnitudes of annual extremes are projected to increase under a moderate emission scenario in all catchments. Changes are generally more pronounced for high-elevation catchments.
Chas E. Jones Jr., Scott G. Leibowitz, Keith A. Sawicz, Randy L. Comeleo, Laurel E. Stratton, Philip E. Morefield, and Christopher P. Weaver
Hydrol. Earth Syst. Sci., 25, 3179–3206, https://doi.org/10.5194/hess-25-3179-2021, https://doi.org/10.5194/hess-25-3179-2021, 2021
Short summary
Short summary
Our research assesses the hydrologic vulnerability of the western U.S. to climate by classifying the landscape based on its physical and climatic characteristics and analyzing climate data. We also apply the approach to examine the vulnerabilities of case studies in the ski and wine industries. We show that the west and its ski areas are vulnerable to changes in snow, while vineyard vulnerability varies. This allows us to consider climatic impacts across landscapes, industries, and stakeholders.
Leo Triet Pham, Lifeng Luo, and Andrew Finley
Hydrol. Earth Syst. Sci., 25, 2997–3015, https://doi.org/10.5194/hess-25-2997-2021, https://doi.org/10.5194/hess-25-2997-2021, 2021
Short summary
Short summary
Model evaluation metrics suggest that RF performs better in snowmelt-driven watersheds. The largest improvements in forecasts compared to benchmark models are found among rainfall-driven watersheds. RF performance deteriorates with increases in catchment slope and soil sandiness. We note disagreement between two popular measures of RF variable importance and recommend jointly considering these measures with the physical processes under study.
Nabil Hocini, Olivier Payrastre, François Bourgin, Eric Gaume, Philippe Davy, Dimitri Lague, Lea Poinsignon, and Frederic Pons
Hydrol. Earth Syst. Sci., 25, 2979–2995, https://doi.org/10.5194/hess-25-2979-2021, https://doi.org/10.5194/hess-25-2979-2021, 2021
Short summary
Short summary
Efficient flood mapping methods are needed for large-scale, comprehensive identification of flash flood inundation hazards caused by small upstream rivers. An evaluation of three automated mapping approaches of increasing complexity, i.e., a digital terrain model (DTM) filling and two 1D–2D hydrodynamic approaches, is presented based on three major flash floods in southeastern France. The results illustrate some limits of the DTM filling method and the value of using a 2D hydrodynamic approach.
John P. Bloomfield, Mengyi Gong, Benjamin P. Marchant, Gemma Coxon, and Nans Addor
Hydrol. Earth Syst. Sci. Discuss., https://doi.org/10.5194/hess-2021-259, https://doi.org/10.5194/hess-2021-259, 2021
Revised manuscript accepted for HESS
Short summary
Short summary
Groundwater provides flow, known as baseflow, to surface streams and rivers. It is important as it sustains the flow of many rivers at times of water stress. However, it may be affected by water management practices. Statistical models have been used to show that in particular abstraction of groundwater influences baseflow. Consequently, it is recommended that information and data on groundwater abstraction is explicitly included in future assessments and predictions of baseflow.
Shusen Wang, Junhua Li, and Hazen A. J. Russell
Hydrol. Earth Syst. Sci., 25, 2649–2662, https://doi.org/10.5194/hess-25-2649-2021, https://doi.org/10.5194/hess-25-2649-2021, 2021
Short summary
Short summary
Separating river flow into baseflow and surface runoff provides useful information for hydrology and climate studies, but traditional methods have critical limitations in the lack of physics, identifying snowmelt runoff and watershed size. This study developed a novel model using the GRACE satellite observations to address these limitations. It also includes estimates for watershed hydraulic conductivity and drainable water storage, which help assess aquifer properties and water resources.
Shuci Liu, Dongryeol Ryu, J. Angus Webb, Anna Lintern, Danlu Guo, David Waters, and Andrew W. Western
Hydrol. Earth Syst. Sci., 25, 2663–2683, https://doi.org/10.5194/hess-25-2663-2021, https://doi.org/10.5194/hess-25-2663-2021, 2021
Short summary
Short summary
Riverine water quality can change markedly at one particular location. This study developed predictive models to represent the temporal variation in stream water quality across the Great Barrier Reef catchments, Australia. The model structures were informed by a data-driven approach, which is useful for identifying important factors determining temporal changes in water quality and, in turn, providing critical information for developing management strategies.
Erwin Rottler, Axel Bronstert, Gerd Bürger, and Oldrich Rakovec
Hydrol. Earth Syst. Sci., 25, 2353–2371, https://doi.org/10.5194/hess-25-2353-2021, https://doi.org/10.5194/hess-25-2353-2021, 2021
Short summary
Short summary
The mesoscale hydrological model (mHM) forced with an ensemble of climate projection scenarios was used to assess potential future changes in flood seasonality in the Rhine River basin. Results indicate that future changes in flood characteristics are controlled by increases in precipitation sums and diminishing snowpacks. The decreases in snowmelt can counterbalance increasing precipitation, resulting in only small and transient changes in streamflow maxima.
Robin Schwemmle, Dominic Demand, and Markus Weiler
Hydrol. Earth Syst. Sci., 25, 2187–2198, https://doi.org/10.5194/hess-25-2187-2021, https://doi.org/10.5194/hess-25-2187-2021, 2021
Short summary
Short summary
A better understanding of the reasons why model performance is unsatisfying represents a crucial part for meaningful model evaluation. We propose the novel diagnostic efficiency (DE) measure and diagnostic polar plots. The proposed evaluation approach provides a diagnostic tool for model developers and model users and facilitates interpretation of model performance.
Elin Jutebring Sterte, Fredrik Lidman, Emma Lindborg, Ylva Sjöberg, and Hjalmar Laudon
Hydrol. Earth Syst. Sci., 25, 2133–2158, https://doi.org/10.5194/hess-25-2133-2021, https://doi.org/10.5194/hess-25-2133-2021, 2021
Short summary
Short summary
A numerical model was used to estimate annual and seasonal mean travel times across 14 long-term nested monitored catchments in the boreal region. The estimated travel times and young water fractions were consistent with observed variations of base cation concentration and stable water isotopes, δ18O. Soil type was the most important factor regulating the variation in mean travel times among sub-catchments, while the areal coverage of mires increased the young water fraction.
Martin Gauch, Frederik Kratzert, Daniel Klotz, Grey Nearing, Jimmy Lin, and Sepp Hochreiter
Hydrol. Earth Syst. Sci., 25, 2045–2062, https://doi.org/10.5194/hess-25-2045-2021, https://doi.org/10.5194/hess-25-2045-2021, 2021
Short summary
Short summary
We present multi-timescale Short-Term Memory (MTS-LSTM), a machine learning approach that predicts discharge at multiple timescales within one model. MTS-LSTM is significantly more accurate than the US National Water Model and computationally more efficient than an individual LSTM model per timescale. Further, MTS-LSTM can process different input variables at different timescales, which is important as the lead time of meteorological forecasts often depends on their temporal resolution.
Annalina Lombardi, Valentina Colaiuda, Marco Verdecchia, and Barbara Tomassetti
Hydrol. Earth Syst. Sci., 25, 1969–1992, https://doi.org/10.5194/hess-25-1969-2021, https://doi.org/10.5194/hess-25-1969-2021, 2021
Short summary
Short summary
The paper presents a modelling approach for the assessment of extremes in the hydrological cycle at a multi-catchment scale. It describes two new hydrological stress indices, innovative instruments that could be used by Civil Protection operators, for flood mapping in early warning systems. The main advantage in using the proposed indices is the possibility of displaying hydrological-stress information over any geographical domain.
Santosh Nepal, Saurav Pradhananga, Narayan Kumar Shrestha, Sven Kralisch, Jayandra P. Shrestha, and Manfred Fink
Hydrol. Earth Syst. Sci., 25, 1761–1783, https://doi.org/10.5194/hess-25-1761-2021, https://doi.org/10.5194/hess-25-1761-2021, 2021
Short summary
Short summary
This paper examines soil moisture drought in the central Himalayan region by applying a process-based hydrological model. Our results suggest that both the occurrence and severity of droughts have increased over the last 3 decades, especially in the winter and
pre-monsoon seasons. The insights provided into the frequency, spatial coverage, and severity of the drought conditions can provide valuable inputs towards improved management of water resources and greater agricultural productivity.
Pierre Nicolle, Vazken Andréassian, Paul Royer-Gaspard, Charles Perrin, Guillaume Thirel, Laurent Coron, and Léonard Santos
Hydrol. Earth Syst. Sci. Discuss., https://doi.org/10.5194/hess-2021-147, https://doi.org/10.5194/hess-2021-147, 2021
Revised manuscript accepted for HESS
Short summary
Short summary
In this note, a new method (RAT) is proposed to assess the robustness of hydrological models. The RAT method is particularly interesting because it does not require multiple calibrations (it is therefore applicable to uncalibrated models) and it can be used to determine whether a hydrological model may be safely used for climate change impact studies. Success at the robustness assessment test is a necessary (but not sufficient) condition of model robustness.
Judith Eeckman, Hélène Roux, Audrey Douinot, Bertrand Bonan, and Clément Albergel
Hydrol. Earth Syst. Sci., 25, 1425–1446, https://doi.org/10.5194/hess-25-1425-2021, https://doi.org/10.5194/hess-25-1425-2021, 2021
Short summary
Short summary
The risk of flash flood is of growing importance for populations, particularly in the Mediterranean area in the context of a changing climate. The representation of soil processes in models is a key factor for flash flood simulation. The importance of the various methods for soil moisture estimation are highlighted in this work. Local measurements from the field as well as data derived from satellite imagery can be used to assess the performance of model outputs.
Lieke Anna Melsen and Björn Guse
Hydrol. Earth Syst. Sci., 25, 1307–1332, https://doi.org/10.5194/hess-25-1307-2021, https://doi.org/10.5194/hess-25-1307-2021, 2021
Short summary
Short summary
Certain hydrological processes become more or less relevant when the climate changes. This should also be visible in the models that are used for long-term predictions of river flow as a consequence of climate change. We investigated this using three different models. The change in relevance should be reflected in how the parameters of the models are determined. In the different models, different processes become more relevant in the future: they disagree with each other.
Martin Le Mesnil, Roger Moussa, Jean-Baptiste Charlier, and Yvan Caballero
Hydrol. Earth Syst. Sci., 25, 1259–1282, https://doi.org/10.5194/hess-25-1259-2021, https://doi.org/10.5194/hess-25-1259-2021, 2021
Short summary
Short summary
We present an innovative approach consisting of the statistical analysis and comparison of 15 hydrological descriptors, characterizing catchment response to rainfall events. The distribution of these descriptors is analysed according to the occurrence of karst areas inside 108 catchments. It shows that karst impacts on storm events mainly result in river losses and that interbasin groundwater flows can represent a significant part of the catchment water budget ah the event timescale.
Thomas Lees, Marcus Buechel, Bailey Anderson, Louise Slater, Steven Reece, Gemma Coxon, and Simon J. Dadson
Hydrol. Earth Syst. Sci. Discuss., https://doi.org/10.5194/hess-2021-127, https://doi.org/10.5194/hess-2021-127, 2021
Revised manuscript accepted for HESS
Short summary
Short summary
We used deep learning models to simulate the amount of water travelling through a river channel (discharge), based on the rainfall, temperature and potential evaporation in the previous days. We compared the performance of these deep learning models to four models that are currently used by hydrologists and engineers. We tested how these different methods simulate discharge at 518 points around Great Britain. Ultimately, we found that the deep learning models produced more accurate simulations.
Claudia Voigt, Daniel Herwartz, Cristina Dorador, and Michael Staubwasser
Hydrol. Earth Syst. Sci., 25, 1211–1228, https://doi.org/10.5194/hess-25-1211-2021, https://doi.org/10.5194/hess-25-1211-2021, 2021
Short summary
Short summary
Evaporation trends in the stable isotope composition (18O/16O, 17O/16O, 2H/1H) of throughflow ponds in a hydrologically complex and seasonally dynamic lake system can be reliably predicted by the classic Craig–Gordon isotope evaporation model. We demonstrate that the novel 17O-excess parameter is capable of resolving different types of evaporation with and without recharge and of identifying mixing processes that cannot be resolved using the classic δ2H–δ18O system alone.
Zun Yin, Catherine Ottlé, Philippe Ciais, Feng Zhou, Xuhui Wang, Polcher Jan, Patrice Dumas, Shushi Peng, Laurent Li, Xudong Zhou, Yan Bo, Yi Xi, and Shilong Piao
Hydrol. Earth Syst. Sci., 25, 1133–1150, https://doi.org/10.5194/hess-25-1133-2021, https://doi.org/10.5194/hess-25-1133-2021, 2021
Short summary
Short summary
We improved the irrigation module in a land surface model ORCHIDEE and developed a dam operation model with the aim to investigate how irrigation and dams affect the streamflow fluctuations of the Yellow River. Results show that irrigation mainly reduces the annual river flow. The dam operation, however, mainly affects streamflow variation. By considering two generic operation rules, flood control and base flow guarantee, our dam model can sustainably improve the simulation accuracy.
Laurène J. E. Bouaziz, Fabrizio Fenicia, Guillaume Thirel, Tanja de Boer-Euser, Joost Buitink, Claudia C. Brauer, Jan De Niel, Benjamin J. Dewals, Gilles Drogue, Benjamin Grelier, Lieke A. Melsen, Sotirios Moustakas, Jiri Nossent, Fernando Pereira, Eric Sprokkereef, Jasper Stam, Albrecht H. Weerts, Patrick Willems, Hubert H. G. Savenije, and Markus Hrachowitz
Hydrol. Earth Syst. Sci., 25, 1069–1095, https://doi.org/10.5194/hess-25-1069-2021, https://doi.org/10.5194/hess-25-1069-2021, 2021
Short summary
Short summary
We quantify the differences in internal states and fluxes of 12 process-based models with similar streamflow performance and assess their plausibility using remotely sensed estimates of evaporation, snow cover, soil moisture and total storage anomalies. The dissimilarities in internal process representation imply that these models cannot all simultaneously be close to reality. Therefore, we invite modelers to evaluate their models using multiple variables and to rely on multi-model studies.
Petra Hulsman, Hubert H. G. Savenije, and Markus Hrachowitz
Hydrol. Earth Syst. Sci., 25, 957–982, https://doi.org/10.5194/hess-25-957-2021, https://doi.org/10.5194/hess-25-957-2021, 2021
Short summary
Short summary
Satellite observations have increasingly been used for model calibration, while model structural developments largely rely on discharge data. For large river basins, this often results in poor representations of system internal processes. This study explores the combined use of satellite-based evaporation and total water storage data for model structural improvement and spatial–temporal model calibration for a large, semi-arid and data-scarce river system.
Yuan Gao, Lili Yao, Ni-Bin Chang, and Dingbao Wang
Hydrol. Earth Syst. Sci., 25, 945–956, https://doi.org/10.5194/hess-25-945-2021, https://doi.org/10.5194/hess-25-945-2021, 2021
Short summary
Short summary
Mean annual runoff prediction is of great interest but still poses a challenge in ungauged basins. The purpose of this study is to diagnose the data requirement for predicting mean annual runoff in ungauged basins based on a water balance model, in which the effects of climate variability are explicitly represented. The performance of predicting mean annual runoff can be improved by employing better estimation of soil water storage capacity including the effects of soil, topography, and bedrock.
Keith Beven
Hydrol. Earth Syst. Sci., 25, 851–866, https://doi.org/10.5194/hess-25-851-2021, https://doi.org/10.5194/hess-25-851-2021, 2021
Short summary
Short summary
Inspired by a quotation from Howard Cook in 1946, this paper traces the evolution of the infiltration theory of runoff from the work of Robert Horton and LeRoy Sherman in the 1930s to the early digital computer models of the 1970s and 1980s. Reconsideration of the perceptual model for many catchments, partly as a result of the greater appreciation of the contribution of subsurface flows to the hydrograph indicated by tracer studies, suggests a reconsideration of hydrological nomenclature.
Xiaojing Zhang and Pan Liu
Hydrol. Earth Syst. Sci., 25, 711–733, https://doi.org/10.5194/hess-25-711-2021, https://doi.org/10.5194/hess-25-711-2021, 2021
Short summary
Short summary
Rainfall–runoff models are useful tools for streamflow simulation. However, efforts are needed to investigate how their parameters vary in response to climate changes and human activities. Thus, this study proposes a new method for estimating time-varying parameters, by considering both simulation accuracy and parameter continuity. The results show the proposed method is effective for identifying temporal variations of parameters and can simultaneously provide good streamflow simulation.
Peter T. La Follette, Adriaan J. Teuling, Nans Addor, Martyn Clark, Koen Jansen, and Lieke A. Melsen
Hydrol. Earth Syst. Sci. Discuss., https://doi.org/10.5194/hess-2021-28, https://doi.org/10.5194/hess-2021-28, 2021
Revised manuscript accepted for HESS
Short summary
Short summary
Hydrological models are useful tools that allow us to predict distributions and movement of water. A variety of numerical methods are used by these models. We demonstrate which numerical methods yield large errors when subject to extreme precipitation. As the climate is changing such that extreme precipitation is more common, we find that some numerical methods are better suited for use in hydrological models. Also, we find that many current hydrological models use relatively inaccurate methods.
Keith J. Beven, Mike J. Kirkby, Jim E. Freer, and Rob Lamb
Hydrol. Earth Syst. Sci., 25, 527–549, https://doi.org/10.5194/hess-25-527-2021, https://doi.org/10.5194/hess-25-527-2021, 2021
Short summary
Short summary
The theory that forms the basis of TOPMODEL was first outlined by Mike Kirkby some 45 years ago. This paper recalls some of the early developments: the rejection of the first journal paper, the early days of digital terrain analysis, model calibration and validation, the various criticisms of the simplifying assumptions, and the relaxation of those assumptions in the dynamic forms of TOPMODEL, and it considers what we might do now with the benefit of hindsight.
Camila Alvarez-Garreton, Juan Pablo Boisier, René Garreaud, Jan Seibert, and Marc Vis
Hydrol. Earth Syst. Sci., 25, 429–446, https://doi.org/10.5194/hess-25-429-2021, https://doi.org/10.5194/hess-25-429-2021, 2021
Short summary
Short summary
The megadrought experienced in Chile (2010–2020) has led to larger than expected water deficits. By analysing 106 basins with snow-/rainfall regimes, we relate such intensification with the hydrological memory of the basins, explained by snow and groundwater. Snow-dominated basins have larger memory and thus accumulate the effect of persistent precipitation deficits more strongly than pluvial basins. This notably affects central Chile, a water-limited region where most of the population lives.
Nicolas Björn Rodriguez, Laurent Pfister, Erwin Zehe, and Julian Klaus
Hydrol. Earth Syst. Sci., 25, 401–428, https://doi.org/10.5194/hess-25-401-2021, https://doi.org/10.5194/hess-25-401-2021, 2021
Short summary
Short summary
Different parts of water have often been used as tracers to determine the age of water in streams. The stable tracers, such as deuterium, are thought to be unable to reveal old water compared to the radioactive tracer called tritium. We used both tracers, measured in precipitation and in a stream in Luxembourg, to show that this is not necessarily true. It is, in fact, advantageous to use the two tracers together, and we recommend systematically using tritium in future studies.
Ralf Loritz, Markus Hrachowitz, Malte Neuper, and Erwin Zehe
Hydrol. Earth Syst. Sci., 25, 147–167, https://doi.org/10.5194/hess-25-147-2021, https://doi.org/10.5194/hess-25-147-2021, 2021
Short summary
Short summary
This study investigates the role and value of distributed rainfall in the runoff generation of a mesoscale catchment. We compare the performance of different hydrological models at different periods and show that a distributed model driven by distributed rainfall yields improved performances only during certain periods. We then step beyond this finding and develop a spatially adaptive model that is capable of dynamically adjusting its spatial model structure in time.
Manuela I. Brunner, Lieke A. Melsen, Andrew W. Wood, Oldrich Rakovec, Naoki Mizukami, Wouter J. M. Knoben, and Martyn P. Clark
Hydrol. Earth Syst. Sci., 25, 105–119, https://doi.org/10.5194/hess-25-105-2021, https://doi.org/10.5194/hess-25-105-2021, 2021
Short summary
Short summary
Assessments of current, local, and regional flood hazards and their future changes often involve the use of hydrologic models. A reliable model ideally reproduces both local flood characteristics and regional aspects of flooding. In this paper we investigate how such characteristics are represented by hydrologic models. Our results show that both the modeling of local and regional flood characteristics are challenging, especially under changing climate conditions.
Sergio Naranjo, Francelino A. Rodrigues Jr., Georg Cadisch, Santiago Lopez-Ridaura, Mariela Fuentes, and Carsten Marohn
Hydrol. Earth Syst. Sci. Discuss., https://doi.org/10.5194/hess-2020-641, https://doi.org/10.5194/hess-2020-641, 2020
Revised manuscript accepted for HESS
Short summary
Short summary
This study pioneers in the integration of a spatially explicit soil erosion model with plot and watershed scale characterization and high resolution drone imagery to assess the effect of spatial resolution DTM on discharge and soil loss. Results showed reduction of slope due to resampling-down of DTM. High resolution translates into higher slope, denser fluvial system, and extremer values of soil loss reducing time of concentration and increasing soil loss at the outlet. Best resolution was 4 m.
Shervan Gharari, Martyn P. Clark, Naoki Mizukami, Wouter J. M. Knoben, Jefferson S. Wong, and Alain Pietroniro
Hydrol. Earth Syst. Sci., 24, 5953–5971, https://doi.org/10.5194/hess-24-5953-2020, https://doi.org/10.5194/hess-24-5953-2020, 2020
Short summary
Short summary
This work explores the trade-off between the accuracy of the representation of geospatial data, such as land cover, soil type, and elevation zones, in a land (surface) model and its performance in the context of modeling. We used a vector-based setup instead of the commonly used grid-based setup to identify this trade-off. We also assessed the often neglected parameter uncertainty and its impact on the land model simulations.
Ganggang Zuo, Jungang Luo, Ni Wang, Yani Lian, and Xinxin He
Hydrol. Earth Syst. Sci., 24, 5491–5518, https://doi.org/10.5194/hess-24-5491-2020, https://doi.org/10.5194/hess-24-5491-2020, 2020
Short summary
Short summary
A two-stage variational mode decomposition and support vector regression is designed to reduce the influence of boundary effects without removing or correcting boundary-affected decompositions. The proposed model significantly reduces the boundary effect consequences, saves modeling time and computation resources, barely overfits the calibration samples, and forecasts monthly runoff reasonably well compared to the benchmark models.
Nils Hinrich Kaplan, Theresa Blume, and Markus Weiler
Hydrol. Earth Syst. Sci., 24, 5453–5472, https://doi.org/10.5194/hess-24-5453-2020, https://doi.org/10.5194/hess-24-5453-2020, 2020
Short summary
Short summary
In recent decades the demand for detailed information of spatial and temporal dynamics of the stream network has 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 streamflow intermittency. This approach has the potential to provide intermittency maps for hydrological modelling and management practices.
Mattia Neri, Juraj Parajka, and Elena Toth
Hydrol. Earth Syst. Sci., 24, 5149–5171, https://doi.org/10.5194/hess-24-5149-2020, https://doi.org/10.5194/hess-24-5149-2020, 2020
Short summary
Short summary
One of the most informative ways 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 informative content of the available regional data set, in order to identify the methods that are more suitable for the data availability in the region.
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
Short summary
Short summary
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
Short summary
Short summary
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
Short summary
Short summary
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
Short summary
Short summary
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
Short summary
Short summary
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
Short summary
Short summary
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.
Cited articles
Ala-aho, P., Tetzlaff, D., McNamara, J. P., Laudon, H., and Soulsby, C.: Using isotopes to constrain water flux and age estimates in snow-influenced catchments using the STARR (Spatially distributed Tracer-Aided Rainfall–Runoff) model, Hydrol. Earth Syst. Sci., 21, 5089–5110, https://doi.org/10.5194/hess-21-5089-2017, 2017.
Benettin, P. and Bertuzzo, E.: tran-SAS v1.0: a numerical model to compute catchment-scale hydrologic transport using StorAge Selection functions, Geosci. Model Dev., 11, 1627–1639, https://doi.org/10.5194/gmd-11-1627-2018, 2018.
Beven, K. and Freer, J.: Equifinality, data assimilation, and uncertainty estimation in mechanistic modelling of complex environmental systems using the GLUE methodology, J. Hydrol., 249, 11–29, https://doi.org/10.1016/S0022-1694(01)00421-8, 2001.
Birkel, C., Tetzlaff, D., Dunn, S. M., and Soulsby, C.: Using time domain
and geographic source tracers to conceptualize streamflow generation
processes in lumped rainfall-runoff models, Water Resour. Res., 47, W02515,
https://doi.org/10.1029/2010WR009547, 2011.
Birkel, C., Soulsby, C., and Tetzlaff, D.: Developing a consistent
process-based conceptualization of catchment functioning using measurements
of internal state variables, Water Resour. Res., 50, 3481–3501,
https://doi.org/10.1002/2013WR014925, 2014.
Botter, G., Bertuzzo, E., and Rinaldo, A.: Catchment residence and travel
time distributions: the master equation, Geophys. Res. Lett.,
38, L11403, https://doi.org/10.1029/2011GL047666, 2011.
Bowen, G. J., Cai, Z., Fiorella, R. P., and Putman, A. L.: Isotopes in the
water cycle: regional-to global-scale patterns and applications, Annu.
Rev. Earth Planet. Sci., 47, 453–479,
https://doi.org/10.1146/annurev-earth-053018-060220, 2019.
Capell, R., Tetzlaff, D., and Soulsby, C.: Can time domain and source area
tracers reduce uncertainty in rainfall-runoff models in larger heterogeneous
catchments?, Water Resour. Res., 48, W09544,
https://doi.org/10.1029/2011WR011543, 2012.
Chen, X., Long, D., Hong, Y., Zeng, C., and Yan, D.: Improved modeling of
snow and glacier melting by a progressive two-stage calibration strategy
with grace and multisource data: how snow and glacier meltwater contributes
to the runoff of the upper brahmaputra river basin?, Water Resour.
Res., 53, 2431–2466,
https://doi.org/10.1002/2016WR019656, 2017.
Dansgaard, W.: Stable isotopes in precipitation, Tellus, 16, 436–468,
1964.
Delavau, C. J., Stadnyk, T., and Holmes, T.: Examining the impacts of precipitation isotope input (δ18Oppt) on distributed, tracer-aided hydrological modelling, Hydrol. Earth Syst. Sci., 21, 2595–2614, https://doi.org/10.5194/hess-21-2595-2017, 2017.
Didan, K.: MOD13A3 MODIS/Terra vegetation Indices Monthly L3 Global 1km SIN
Grid V006, NASA EOSDIS Land Processes DAAC [data set],
https://doi.org/10.5067/MODIS/MOD13A3.006, 2015.
Dou, Y., Chen, X., Bao, A., and Li, L.: The simulation of snowmelt runoff in
the ungauged kaidu river basin of tianshan mountains, china, Environ.
Earth Sci., 62, 1039–1045,
https://doi.org/10.1007/s12665-010-0592-5, 2011.
Duethmann, D., Bolch, T., Farinotti, D., Kriegel, D., Vorogushyn, S., Merz,
B., Pieczonka, T., Jiang, T., Su, B., and Güntner, A.: Attribution of
streamflow trends in snow and glacier melt-dominated catchments of the Tarim
River, Central Asia, Water Resour. Res., 51, 4727–4750,
https://doi.org/10.1002/2014WR016716, 2015.
Eriksson, D., Bindel, D., and Shoemaker, C.: Dme65/Pysot: V0.1.35, Zenodo
[code], https://doi.org/10.5281/zenodo.569554, 2017.
Finger, D., Vis, M., Huss, M., and Seibert, J.: The value of multiple data
set calibration versus model complexity for improving the performance of
hydrological models in mountain catchments, Water Resour. Res., 51,
1939–1958, https://doi.org/10.1002/2014WR015712, 2015.
Gao, J., Tian, L., and Liu, Y.: Oxygen isotope variation in the water cycle of
the Yamdrok-tso Lake Basin in southern Tibetan Plateau, Chinese Sci. Bull.,
54, 2758–2765,
2009.
Garvelmann, J., Warscher, M., Leonhardt, G., Franz, H.,
Lotz, A., and Kunstmann, H.: Quantification and characterization
of the dynamics of spring and stream water systems in the berchtesgaden alps
with a long-term stable isotope dataset, Environ. Earth
Sci., 76, 766, https://doi.org/10.1007/s12665-017-7107-6, 2017.
Gat, J. R.: Oxygen and hydrogen isotopes in the hydrologic cycle, Annu.
Rev. Earth Pl. Sc., 24, 225–262,
https://doi.org/10.1146/annurev.earth.24.1.225, 1996.
Gupta, H. V., Kling, H., Yilmaz, K. K., and Martinez, G. F.: Decomposition
of the mean squared error and nse performance criteria: implications for
improving hydrological modelling, J. Hydrol., 377, 80–91,
https://doi.org/10.1016/j.jhydrol.2009.08.003, 2009.
Hall, D. K. and Riggs, G. A.: MODIS/Terra Snow Cover 8-Day L3 Global 500m
SIN Grid, Version 6, NASA National Snow and Ice Data Center Distributed
Active Archive Center [data set], https://doi.org/10.5067/MODIS/MOD10A2.006, 2016.
Harman, C. J.: Age-ranked storage-discharge relations: a unified description
of spatially lumped flow and water age in hydrologic systems, Water
Resour. Res., 55, 1567–1575,
https://doi.org/10.1029/2017WR022304, 2019.
Harman, C. J. and Kim, M.: An efficient tracer test for time-variable transit time distributions in periodic hydrodynamic systems, Geophys. Res. Lett., 41, 1567–1575, https://doi.org/10.1002/2013GL058980, 2014.
He, Z. H., Parajka, J., Tian, F. Q., and Blöschl, G.: Estimating degree-day factors from MODIS for snowmelt runoff modeling, Hydrol. Earth Syst. Sci., 18, 4773–4789, https://doi.org/10.5194/hess-18-4773-2014, 2014.
He, Z. H., Tian, F. Q., Gupta, H. V., Hu, H. C., and Hu, H. P.: Diagnostic calibration of a hydrological model in a mountain area by hydrograph partitioning, Hydrol. Earth Syst. Sci., 19, 1807–1826, https://doi.org/10.5194/hess-19-1807-2015, 2015.
He, Z., Vorogushyn, S., Unger-Shayesteh, K., Gafurov, A., Kalashnikova, O.,
Omorova, E., and Merz, B.: The value of hydrograph partitioning curves for
calibrating hydrological models in glacierized basins, Water Resour.
Res., 54, 2336–2361,
https://doi.org/10.1002/2017WR021966, 2018.
He, Z., Unger-Shayesteh, K., Vorogushyn, S., Weise, S. M., Kalashnikova, O.,
Gafurov, A., Duethmann, D., Barandun, M., and Merz, B.: Constraining
hydrological model parameters using water isotopic compositions in a
glacierized basin, central asia, J. Hydrol., 571, 332–348,
https://doi.org/10.1016/j.jhydrol.2019.01.048, 2019.
He, Z., Unger-Shayesteh, K., Vorogushyn, S., Weise, S. M., Duethmann, D., Kalashnikova, O., Gafurov, A., and Merz, B.: Comparing Bayesian and traditional end-member mixing approaches for hydrograph separation in a glacierized basin, Hydrol. Earth Syst. Sci., 24, 3289–3309, https://doi.org/10.5194/hess-24-3289-2020, 2020.
Heidbuechel, I., Troch, P. A., Lyon, S. W., and Weiler, M.: The master
transit time distribution of variable flow systems, Water Resour.
Res., 48, 6520, https://doi.org/10.1029/2011WR011293,
2012.
Hindshaw, R. S., Tipper, E. T., Reynolds, B. C., Lemarchand, E., Wiederhold,
J. G., Magnusson, J., Bernasconi, S. M., Kretzschmar, R., and Bourdon, B.:
Hydrological control of stream water chemistry in a glacial catchment (Damma
Glacier, Switzerland), Chem. Geol., 285, 215–230,
https://doi.org/10.1016/j.chemgeo.2011.04.012, 2011.
Hrachowitz, M., Savenije, H., Bogaard, T. A., Tetzlaff, D., and Soulsby, C.: What can flux tracking teach us about water age distribution patterns and their temporal dynamics?, Hydrol. Earth Syst. Sci., 17, 533–564, https://doi.org/10.5194/hess-17-533-2013, 2013.
Immerzeel, W. W., Van Beek, L. P., and Bierkens, M. F.: Climate change will
affect the Asian water towers, Science, 328, 1382–1385,
https://doi.org/10.1126/science.1183188, 2010.
Immerzeel, W. W., Pellicciotti, F., and Bierkens, M. F. P.: 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.
Kirchner, J. W.: Aggregation in environmental systems – Part 1: Seasonal tracer cycles quantify young water fractions, but not mean transit times, in spatially heterogeneous catchments, Hydrol. Earth Syst. Sci., 20, 279–297, https://doi.org/10.5194/hess-20-279-2016, 2016.
Kong, Y. and Pang, Z.: Evaluating the sensitivity of glacier rivers to
climate change based on hydrograph separation of discharge, J. Hydrol. 434,
121–129, https://doi.org/10.1016/j.jhydrol.2012.02.029, 2012.
Kong, Y., Wang, K., Pu, T., and Shi, X.: Nonmonsoon precipitation dominates
groundwater recharge beneath a monsoon-affected glacier in Tibetan Plateau,
J. Geophys. Res.-Atmos., 124, 10913–10930,
https://doi.org/10.1029/2019JD030492, 2019.
Konz, M. and Seibert, J.: On the value of glacier mass balances for
hydrological model calibration, J. Hydrol., 385, 238–246,
https://doi.org/10.1016/j.jhydrol.2010.02.025, 2010.
Li, Z., Feng, Q., Li, Z., Yuan, R., Gui, J., and Lv, Y.: Climate background,
fact and hydrological effect of multiphase water transformation in cold
regions of the western china: a review, Earth Sci. Rev., 190, 33–57,
https://doi.org/10.1016/j.earscirev.2018.12.004, 2019.
Liu, S.: The second glacier inventory dataset of China (version 1.0)
(2006–2011), National Tibetan Plateau Data Center [data set],
https://doi.org/10.3972/glacier.001.2013.db, 2012.
Liu, Z., Tian, L., Yao, T., Gong, T., Yin, C., and Yu, W.: Temporal and
spatial variations of δ18O in precipitation of the Yarlung Zangbo River
Basin, J. Geogr. Sci., 17, 317–326,
https://doi.org/10.1007/s11442-007-0317-1, 2007.
Luo, Y., Wang, X., Piao, S., Sun, L., Ciais, P., Zhang, Y., Ma, C., Gan, R.,
and He, C.: Contrasting streamflow regimes induced by melting glaciers
across the Tien Shan – Pamir – North Karakoram, Sci. Rep.-UK, 8,
16470, https://doi.org/10.1038/s41598-018-34829-2, 2018.
Lutz, A. F., Immerzeel, W. W., Kraaijenbrink, P. D. A., Shrestha, A. B., and
Bierkens, M. F. P.: 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.
Marques, J. E., Samper, J., Pisani, B., Alvares, D., Carvalho, J. M.,
Chamine, H. I., Marques, J. M., Vieira, G. T., Mora, C., and Sodre Borges,
F.: Evaluation of water resources in a high-mountain basin in Serra da
Estrela, Central Portugal, using a semi-distributed hydrological model,
Environ. Earth Sci., 62, 1219–1234,
https://doi.org/10.1007/s12665-010-0610-7, 2011.
McDonnell, J. J. and Beven, K.: Debates – The future of hydrological
sciences: A (common) path forward? A call to action aimed at understanding
velocities, celerities and residence time distributions of the headwater
hydrograph, Water Resour. Res., 50, 5342–5350,
https://doi.org/10.1002/2013WR015141, 2014.
McGuire, K. J. and McDonnell, J. J.: A review and evaluation of catchment
transit time modeling, J. Hydrol., 330, 543–563,
https://doi.org/10.1016/j.jhydrol.2006.04.020, 2006.
McMillan, H., Tetzlaff, D., Clark, M., and Soulsby, C.: Do time-variable
tracers aid the evaluation of hydrological model structure? A multimodel
approach, Water Resour. Res., 48, W05501,
https://doi.org/10.1029/2011WR011688, 2012.
Mi, D., Xie, Z., and Luo, R.: China Glacier Information System XI: Gangze
Water System, Xi'an, Atlas Press, China, 2001.
Miller, J. D., Immerzeel, W. W., and Rees, G.: Climate change impacts on
glacier hydrology and river discharge in the Hindu Kush–Himalayas, Mt.
Res. Dev., 32, 461–467,
https://doi.org/10.1659/MRD-JOURNAL-D-12-00027.1, 2012.
Myneni, R., Knyazikhin, Y., and Park, T.: MOD15A2H MODIS/Terra Leaf Area
Index/FPAR 8-Day L4 Global 500 m SIN Grid V006, NASA EOSDIS Land Processes
DAAC [data set], https://doi.org/10.5067/MODIS/MOD15A2H.006,
2015.
Nash, J. E. and Sutcliffe, J. V.: River flow forecasting through conceptual
models part I – A discussion of principles, J. Hydrol., 10,
282–290, https://doi.org/10.1016/0022-1694(70)90255-6, 1970.
Nepal, S., Zheng, H., Penton, D. J., and Neumann, L. E.: Comparative
performance of GR4JSG and J2000 hydrological models in the Dudh Koshi
catchment of the Himalayan region, in: MODSIM2015, 21st International
Congress on Modelling and Simulation, Gold Coast, Australia, 29 November–4 December 2015, 2395–2401, 2015.
Parajka, J. and Blöschl, G.: The value of modis snow cover data in
validating and calibrating conceptual hydrologic models, J.
Hydrol., 358, 240–258,
https://doi.org/10.1016/j.jhydrol.2008.06.006, 2008.
Pomeroy, J. W., Gray, D. M., Brown, T., Hedstrom, N. R., Quinton, W. L.,
Granger, R. J., and Carey, S. K.: The cold regions hydrological model: a
platform for basing process representation and model structure on physical
evidence, Hydrol. Process., 21, 2650–2667,
https://doi.org/10.1002/hyp.6787, 2007.
Remondi, F., Kirchner, J. W., Burlando, P., and Fatichi, S.: Water flux
tracking with a distributed hydrological model to quantify controls on the
spatiotemporal variability of transit time distributions, Water Resour.
Res., 54, 3081–3099,
https://doi.org/10.1002/2017WR021689, 2018.
Schaefli, B. and Huss, M.: Integrating point glacier mass balance observations into hydrologic model identification, Hydrol. Earth Syst. Sci., 15, 1227–1241, https://doi.org/10.5194/hess-15-1227-2011, 2011.
Schaefli, B., Hingray, B., Niggli, M., and Musy, A.: A conceptual glacio-hydrological model for high mountainous catchments, Hydrol. Earth Syst. Sci., 9, 95–109, https://doi.org/10.5194/hess-9-95-2005, 2005.
Seibert, J., Vis, M. J. P., Kohn, I., Weiler, M., and Stahl, K.: Technical note: Representing glacier geometry changes in a semi-distributed hydrological model, Hydrol. Earth Syst. Sci., 22, 2211–2224, https://doi.org/10.5194/hess-22-2211-2018, 2018.
Shafii, M. and Tolson, B. A.: Optimizing hydrological consistency by
incorporating hydrological signatures into model calibration objectives,
Water Resour. Res., 51, 3796–3814,
https://doi.org/10.1002/2014WR016520, 2015.
Siderius, C., Biemans, H., Wiltshire, A., Rao, S., Franssen, W. H. P.,
Kumar, P., Gosain, A. K., Vliet, M. T. H. Van, and Collins, D. N.: Snowmelt
contributions to discharge of the Ganges, Sci. Total Environ., 468–469,
S93–S101, https://doi.org/10.1016/j.scitotenv.2013.05.084,
2013.
Son, K. and Sivapalan, M.: Improving model structure and reducing parameter
uncertainty in conceptual water balance models through the use of auxiliary
data, Water Resour. Res., 43, W01415,
https://doi.org/10.1029/2006WR005032, 2007.
Soncini, A., Bocchiola, D., Confortola, G., Bianchi, A., Rooso, R., Mayer,
C., Lambrecht, A., Palazzi, E., Smiraglia, C., and Diolaiuti, G.: Future
hydrological regimes in the upper indus basin: a case study from a
high-altitude glacierized catchment, J. Hydrometeorol., 16,
306–326, https://doi.org/10.1175/JHM-D-14-0043.1, 2015.
Soulsby, C., Birkel, C., Geris, J., Dick, J., Tunaley, C., and Tetzlaff, D.:
Stream water age distributions controlled by storage dynamics and nonlinear
hydrologic connectivity: Modeling with high-resolution isotope data, Water
Resour. Res., 51, 7759–7776,
https://doi.org/10.1002/2015WR017888, 2015.
Sprenger, M., Stumpp, C., Weiler, M., Aeschbach, W., Allen, S. T., Benettin, P.,
Dubbert, M., Hartmann, A., Hrachowitz, M., Kirchner, J. W., McDonnell, J. J.,
Orlowski, N., Penna, D., Pfahl, S., Rinderer, M., Rodriguez, N., Schmidt, M., and
Werner, C.: The demographics of water: a review of water ages in the critical
zone, Rev. Geophys., 57, 800–834,
https://doi.org/10.1029/2018RG000633, 2019.
Stadnyk, T. A. and Holmes, T. L.: On the value of isotope-enabled
hydrological model calibration, Hydrolog. Sci. J., 65,
1525–1538, https://doi.org/10.1080/02626667.2020.1751847, 2020.
Stewart, M. K., Morgenstern, U., and Mcdonnell, J. J.: Truncation of stream
residence time: how the use of stable isotopes has skewed our concept of
streamwater age and origin, Hydrol. Process., 24, 1646–1659,
https://doi.org/10.1002/hyp.7576, 2010.
Terzer, S., Wassenaar, L. I., Araguás-Araguás, L. J., and Aggarwal, P. K.: Global isoscapes for δ18O and δ2H in precipitation: improved prediction using regionalized climatic regression models, Hydrol. Earth Syst. Sci., 17, 4713–4728, https://doi.org/10.5194/hess-17-4713-2013, 2013.
Tetzlaff, D., Birkel, C., Dick, J., Geris, J., and Soulsby, C.: Storage
dynamics in hydropedological units control hillslope connectivity, runoff
generation, and the evolution of catchment transit time distributions, Water
Resour. Res., 50, 969–985,
https://doi.org/10.1002/2013WR014147, 2014.
Tian, F., Hu, H., Lei, Z., and Sivapalan, M.: Extension of the Representative Elementary Watershed approach for cold regions via explicit treatment of energy related processes, Hydrol. Earth Syst. Sci., 10, 619–644, https://doi.org/10.5194/hess-10-619-2006, 2006.
Tian, F., Li, H., and Sivapalan, M.: Model diagnostic analysis of seasonal
switching of runoff generation mechanisms in the Blue River basin,
Oklahoma, J. Hydrol., 418, 136–149, https://doi.org/10.1016/j.jhydrol.2010.03.011, 2012.
Tian, F., Xu, R., Nan, Y., Li, K., and He, Z.: Quantification of runoff
components in the Yarlung Tsangpo River using a distributed hydrological
model, Adv. Water Sci., 31, 324–336,
https://doi.org/10.14042/j.cnki.32.1309.2020.03.002, 2020.
Tong, R., Parajka, J., Salentinig, A., Pfeil, I., Komma, J., Széles, B., Kubáň, M., Valent, P., Vreugdenhil, M., Wagner, W., and Blöschl, G.: The value of ASCAT soil moisture and MODIS snow cover data for calibrating a conceptual hydrologic model, Hydrol. Earth Syst. Sci., 25, 1389–1410, https://doi.org/10.5194/hess-25-1389-2021, 2021.
van der Velde, Y., Heidbüchel, I., Lyon, S. W., Nyberg, L., Rodhe, A.,
Bishop, K., and Troch, P. A.: Consequences of mixing assumptions for
time-variable travel time distributions, Hydrol. Process., 29,
3460–3474, https://doi.org/10.1002/hyp.10372, 2015.
van Huijgevoort, M. H. J., Tetzlaff, D., Sutanudjaja, E. H., and Soulsby,
C.: Using high resolution tracer data to constrain water storage, flux and
age estimates in a spatially distributed rainfall-runoff model, Hydrol.
Process., 30, 4761–4778,
https://doi.org/10.1002/hyp.10902, 2016.
Wang, L. X., Niu, S. L., Good, S. P., Soderberg, K., McCabe, M. F., Sherry,
R. A., Luo, Y. Q., Zhou, X. H., Xia, J. Y., and Caylor, K. K.: The effect of
warming on grassland evapotranspiration partitioning using laser-based
isotope monitoring techniques, Geochim. Cosmochim. Ac., 111, 28–38, https://doi.org/10.1016/j.gca.2012.12.047, 2013.
Weiler, M., Seibert, J., and Stahl, K.: Magic components – why quantifying
rain, snowmelt, and icemelt in river discharge is not easy, Hydrol. Process.,
32, 160–166, https://doi.org/10.1002/hyp.11361, 2018.
Wolfe, B. B., Karst-Riddoch, T. L., Hall, R. I., Edwards, T. W. D., English,
M. C., Palmini, R., McGowan, S., Leavitt, P. R., and Vardy, S. R.:
Classification of hydrological regimes of northern floodplain basins (Peace
-Athabasca Delta, Canada) from analysis of stable isotopes (δ18O,
δ2H) and water chemistry, Hydrol. Process., 21, 151–168, https://doi.org/10.1002/hyp.6229, 2007.
Xi, X.: A review of water isotopes in atmospheric general circulation
models: recent advances and future prospects, Int. J.
Atmos. Sci., 2014, 250920,
https://doi.org/10.1155/2014/250920, 2014.
Xu, R., Hu, H., Tian, F., Li, C., and Khan, M. Y. A.: Projected climate
change impacts on future streamflow of the Yarlung Tsangpo-Brahmaputra
River, Global Planet. Change, 175, 144–159,
https://doi.org/10.1016/j.gloplacha.2019.01.012, 2019.
Yang, L., Tian, F., Sun, Y., Yuan, X., and Hu, H.: Attribution of hydrologic forecast uncertainty within scalable forecast windows, Hydrol. Earth Syst. Sci., 18, 775–786, https://doi.org/10.5194/hess-18-775-2014, 2014.
Yao, T. D., Thompson, L., Yang, W., Yu, W. S., Gao, Y., Guo, X. J., Yang, X. X.,
Duan, K. Q., Zhao, H. B., Xu, B. Q., Pu, J. C., Lu, A. X., Xiang, Y., Kattel,
D. B., and Joswiak, D.: Different glacier status with atmospheric
circulations in tibetan plateau and surroundings, Nat. Clim. Change,
2, 663–667, https://doi.org/10.1038/NCLIMATE1580, 2012.
Yin, C., Tian, L., Yu, W., and Gong, T.: Variations of stable oxygen isotope
in precipitation in the Basin of Yamzho Lake, Journal of Glaciology and
Geocryology, 28, 918–924, 2006.
Zhang, F., Liu, J., Gong, T., and Wang, H.: Hydrological regime of the
Karuxung watershed in north Himalayas, Acta Geographica Sinica, 61,
1141–1148, 2006.
Zhang, F., Zhang, H. B., Hagen, S. C., Ye, M., Wang, D. B., Gui, D. W., Zeng,
C., Tian, L. D., and Liu, J. S.: Snow cover and runoff modelling in a high
mountain catchment with scarce data: effects of temperature and
precipitation parameters, Hydrol. Process., 29, 52–65,
https://doi.org/10.1002/hyp.10125, 2015.
Zhang, L., Su, F., Yang, D., Hao, Z., and Tong, K.: Discharge regime and
simulation for the upstream of major rivers over Tibetan Plateau, J.
Geophys. Res.-Atmos., 118, 8500–8518,
https://doi.org/10.1002/jgrd.50665, 2013.
Zhao, R., Wang, P., and Hu, F.: Relations between parameter values and corresponding natural conditions of Xinanjiang Model, Journal of Hohai University, 20, 52–59, 1992.
Short summary
This study integrated a water isotope module into the hydrological model THREW. The isotope-aided model was subsequently applied for process understanding in the glacierized watershed of Karuxung river on the Tibetan Plateau. The model was used to quantify the contribution of runoff component and estimate the water travel time in the catchment. Model uncertainties were significantly constrained by using additional isotopic data, improving the process understanding in the catchment.
This study integrated a water isotope module into the hydrological model THREW. The...
