Articles | Volume 23, issue 8
https://doi.org/10.5194/hess-23-3335-2019
© Author(s) 2019. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/hess-23-3335-2019
© Author(s) 2019. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Research article
| 
14 Aug 2019
Research article |
| 14 Aug 2019
| 14 Aug 2019
Potential application of hydrological ensemble prediction in forecasting floods and its components over the Yarlung Zangbo River basin, China
Li Liu
Institute of Hydrology and Water Resources, Civil Engineering and
Architecture, Zhejiang University, Hangzhou, 310058, China
Institute of Hydrology and Water Resources, Civil Engineering and
Architecture, Zhejiang University, Hangzhou, 310058, China
Su Li Pan
Institute of Hydrology and Water Resources, Civil Engineering and
Architecture, Zhejiang University, Hangzhou, 310058, China
Zhi Xu Bai
Institute of Hydrology and Water Resources, Civil Engineering and
Architecture, Zhejiang University, Hangzhou, 310058, China
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Subject: Hydrometeorology | Techniques and Approaches: Modelling approaches
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Chien-Yu Tseng, Li-Pen Wang, and Christian Onof
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This study presents a new algorithm to better model convective storms. We used advanced tracking methods to analyse 165 storm events in Birmingham (UK) and to reconstruct storm cell lifecycles. We found that cell properties like intensity and size are interrelated and vary over time. The new algorithm, based on vine copulas, accurately simulates these properties and their evolution. It also integrates an exponential model for realistic rainfall patterns, enhancing its hydrological applicability.
Caroline Legrand, Benoît Hingray, Bruno Wilhelm, and Martin Ménégoz
Hydrol. Earth Syst. Sci., 28, 2139–2166, https://doi.org/10.5194/hess-28-2139-2024, https://doi.org/10.5194/hess-28-2139-2024, 2024
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Climate change is expected to increase flood hazard worldwide. The evolution is typically estimated from multi-model chains, where regional hydrological scenarios are simulated from weather scenarios derived from coarse-resolution atmospheric outputs of climate models. We show that two such chains are able to reproduce, from an atmospheric reanalysis, the 1902–2009 discharge variations and floods of the upper Rhône alpine river, provided that the weather scenarios are bias-corrected.
Nenghan Wan, Xiaomao Lin, Roger A. Pielke Sr., Xubin Zeng, and Amanda M. Nelson
Hydrol. Earth Syst. Sci., 28, 2123–2137, https://doi.org/10.5194/hess-28-2123-2024, https://doi.org/10.5194/hess-28-2123-2024, 2024
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Global warming occurs at a rate of 0.21 K per decade, resulting in about 9.5 % K−1 of water vapor response to temperature from 1993 to 2021. Terrestrial areas experienced greater warming than the ocean, with a ratio of 2 : 1. The total precipitable water change in response to surface temperature changes showed a variation around 6 % K−1–8 % K−1 in the 15–55° N latitude band. Further studies are needed to identify the mechanisms leading to different water vapor responses.
Kyungmin Sung, Max C. A. Torbenson, and James H. Stagge
Hydrol. Earth Syst. Sci., 28, 2047–2063, https://doi.org/10.5194/hess-28-2047-2024, https://doi.org/10.5194/hess-28-2047-2024, 2024
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This study examines centuries of nonstationary trends in meteorological drought and pluvial climatology. A novel approach merges tree-ring proxy data (North American Seasonal Precipitation Atlas – NASPA) with instrumental precipitation datasets by temporally downscaling proxy data, correcting biases, and analyzing shared trends in normal and extreme precipitation anomalies. We identify regions experiencing recent unprecedented shifts towards drier or wetter conditions and shifts in seasonality.
Baoying Shan, Niko E. C. Verhoest, and Bernard De Baets
Hydrol. Earth Syst. Sci., 28, 2065–2080, https://doi.org/10.5194/hess-28-2065-2024, https://doi.org/10.5194/hess-28-2065-2024, 2024
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This study developed a convenient and new method to identify the occurrence of droughts, heatwaves, and co-occurring droughts and heatwaves (CDHW) across four seasons. Using this method, we could establish the start and/or end dates of drought (or heatwave) events. We found an increase in the frequency of heatwaves and CDHW events in Belgium caused by climate change. We also found that different months have different chances of CDHW events.
Felipe Lobos-Roco, Jordi Vilà-Guerau de Arellano, and Camilo de Rio
Hydrol. Earth Syst. Sci. Discuss., https://doi.org/10.5194/hess-2024-110, https://doi.org/10.5194/hess-2024-110, 2024
Revised manuscript accepted for HESS
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Water resources are fundamental for social, economic, and natural development of (semi-)arid regions. Precipitation decreases due to climate change obligates us to find new water resources. Fog harvesting emerges as a complementary one in regions where it is abundant but untapped. This research proposes a model to estimate fog harvesting potential in coastal (semi-)arid regions. This model could have broader applicability worldwide in regions where fog harvesting could be a viable water source.
Georgina M. Falster, Nicky M. Wright, Nerilie J. Abram, Anna M. Ukkola, and Benjamin J. Henley
Hydrol. Earth Syst. Sci., 28, 1383–1401, https://doi.org/10.5194/hess-28-1383-2024, https://doi.org/10.5194/hess-28-1383-2024, 2024
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Multi-year droughts have severe environmental and economic impacts, but the instrumental record is too short to characterise multi-year drought variability. We assessed the nature of Australian multi-year droughts using simulations of the past millennium from 11 climate models. We show that multi-decadal
megadroughtsare a natural feature of the Australian hydroclimate. Human-caused climate change is also driving a tendency towards longer droughts in eastern and southwestern Australia.
Kyle R. Mankin, Sushant Mehan, Timothy R. Green, and David M. Barnard
Hydrol. Earth Syst. Sci. Discuss., https://doi.org/10.5194/hess-2024-58, https://doi.org/10.5194/hess-2024-58, 2024
Revised manuscript accepted for HESS
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We assess 60 gridded climate datasets [ground- (G), satellite- (S), reanalysis-based (R)]. Higher-density station data and less-hilly terrain improved climate data. In mountainous and humid regions, dataset types performed similarly; but R outperformed G when underlying data had low station density. G outperformed S or R datasets, though better streamflow modeling did not always follow. Hydrologic analyses need datasets that better represent climate variable dependencies and complex topography.
Urmin Vegad, Yadu Pokhrel, and Vimal Mishra
Hydrol. Earth Syst. Sci., 28, 1107–1126, https://doi.org/10.5194/hess-28-1107-2024, https://doi.org/10.5194/hess-28-1107-2024, 2024
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A large population is affected by floods, which leave their footprints through human mortality, migration, and damage to agriculture and infrastructure, during almost every summer monsoon season in India. Despite the massive damage of floods, sub-basin level flood risk assessment is still in its infancy and needs to be improved. Using hydrological and hydrodynamic models, we reconstructed sub-basin level observed floods for the 1901–2020 period.
Qi Sun, Patrick Olschewski, Jianhui Wei, Zhan Tian, Laixiang Sun, Harald Kunstmann, and Patrick Laux
Hydrol. Earth Syst. Sci., 28, 761–780, https://doi.org/10.5194/hess-28-761-2024, https://doi.org/10.5194/hess-28-761-2024, 2024
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Tropical cyclones (TCs) often cause high economic loss due to heavy winds and rainfall, particularly in densely populated regions such as the Pearl River Delta (China). This study provides a reference to set up regional climate models for TC simulations. They contribute to a better TC process understanding and assess the potential changes and risks of TCs in the future. This lays the foundation for hydrodynamical modelling, from which the cities' disaster management and defence could benefit.
Simon Parry, Jonathan D. Mackay, Thomas Chitson, Jamie Hannaford, Eugene Magee, Maliko Tanguy, Victoria A. Bell, Katie Facer-Childs, Alison Kay, Rosanna Lane, Robert J. Moore, Stephen Turner, and John Wallbank
Hydrol. Earth Syst. Sci., 28, 417–440, https://doi.org/10.5194/hess-28-417-2024, https://doi.org/10.5194/hess-28-417-2024, 2024
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We studied drought in a dataset of possible future river flows and groundwater levels in the UK and found different outcomes for these two sources of water. Throughout the UK, river flows are likely to be lower in future, with droughts more prolonged and severe. However, whilst these changes are also found in some boreholes, in others, higher levels and less severe drought are indicated for the future. This has implications for the future balance between surface water and groundwater below.
Francesco Marra, Marika Koukoula, Antonio Canale, and Nadav Peleg
Hydrol. Earth Syst. Sci., 28, 375–389, https://doi.org/10.5194/hess-28-375-2024, https://doi.org/10.5194/hess-28-375-2024, 2024
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We present a new physical-based method for estimating extreme sub-hourly precipitation return levels (i.e., intensity–duration–frequency, IDF, curves), which are critical for the estimation of future floods. The proposed model, named TENAX, incorporates temperature as a covariate in a physically consistent manner. It has only a few parameters and can be easily set for any climate station given sub-hourly precipitation and temperature data are available.
Alexander Gelfan, Andrey Panin, Andrey Kalugin, Polina Morozova, Vladimir Semenov, Alexey Sidorchuk, Vadim Ukraintsev, and Konstantin Ushakov
Hydrol. Earth Syst. Sci., 28, 241–259, https://doi.org/10.5194/hess-28-241-2024, https://doi.org/10.5194/hess-28-241-2024, 2024
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Paleogeographical data show that 17–13 ka BP, the Caspian Sea level was 80 m above the current level. There are large disagreements on the genesis of this “Great” Khvalynian transgression of the sea, and we tried to shed light on this issue. Using climate and hydrological models as well as the paleo-reconstructions, we proved that the transgression could be initiated solely by hydroclimatic factors within the deglaciation period in the absence of the glacial meltwater effect.
Joeri B. Reinders and Samuel E. Munoz
Hydrol. Earth Syst. Sci., 28, 217–227, https://doi.org/10.5194/hess-28-217-2024, https://doi.org/10.5194/hess-28-217-2024, 2024
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Flooding presents a major hazard for people and infrastructure along waterways; however, it is challenging to study the likelihood of a flood magnitude occurring regionally due to a lack of long discharge records. We show that hydroclimatic variables like Köppen climate regions and precipitation intensity explain part of the variance in flood frequency distributions and thus reduce the uncertainty of flood probability estimates. This gives water managers a tool to locally improve flood analysis.
Mehrad Rahimpour Asenjan, Francois Brissette, Jean-Luc Martel, and Richard Arsenault
Hydrol. Earth Syst. Sci., 27, 4355–4367, https://doi.org/10.5194/hess-27-4355-2023, https://doi.org/10.5194/hess-27-4355-2023, 2023
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Climate models are central to climate change impact studies. Some models project a future deemed too hot by many. We looked at how including hot models may skew the result of impact studies. Applied to hydrology, this study shows that hot models do not systematically produce hydrological outliers.
Kenza Tazi, Andrew Orr, Javier Hernandez-González, Scott Hosking, and Richard E. Turner
EGUsphere, https://doi.org/10.5194/egusphere-2023-2145, https://doi.org/10.5194/egusphere-2023-2145, 2023
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This work aims to improve the understanding of precipitation patterns in High Mountain Asia, a crucial water source for around 2 billion people. Through a novel machine learning method, we generate high-resolution precipitation predictions including the likelihoods of floods and droughts. Compared to state-of-the-art methods, our method is simpler to implement and more suitable for small datasets. The method also shows comparable or better accuracy to existing benchmark datasets.
Ross Pidoto and Uwe Haberlandt
Hydrol. Earth Syst. Sci., 27, 3957–3975, https://doi.org/10.5194/hess-27-3957-2023, https://doi.org/10.5194/hess-27-3957-2023, 2023
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Long continuous time series of meteorological variables (i.e. rainfall, temperature) are required for the modelling of floods. Observed time series are generally too short or not available. Weather generators are models that reproduce observed weather time series. This study extends an existing station-based rainfall model into space by enforcing observed spatial rainfall characteristics. To model other variables (i.e. temperature) the model is then coupled to a simple resampling approach.
Kajsa Maria Parding, Rasmus Emil Benestad, Anita Verpe Dyrrdal, and Julia Lutz
Hydrol. Earth Syst. Sci., 27, 3719–3732, https://doi.org/10.5194/hess-27-3719-2023, https://doi.org/10.5194/hess-27-3719-2023, 2023
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Intensity–duration–frequency (IDF) curves describe the likelihood of extreme rainfall and are used in hydrology and engineering, for example, for flood forecasting and water management. We develop a model to estimate IDF curves from daily meteorological observations, which are more widely available than the observations on finer timescales (minutes to hours) that are needed for IDF calculations. The method is applied to all data at once, making it efficient and robust to individual errors.
Kaltrina Maloku, Benoit Hingray, and Guillaume Evin
Hydrol. Earth Syst. Sci., 27, 3643–3661, https://doi.org/10.5194/hess-27-3643-2023, https://doi.org/10.5194/hess-27-3643-2023, 2023
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High-resolution precipitation data, needed for many applications in hydrology, are typically rare. Such data can be simulated from daily precipitation with stochastic disaggregation. In this work, multiplicative random cascades are used to disaggregate time series of 40 min precipitation from daily precipitation for 81 Swiss stations. We show that very relevant statistics of precipitation are obtained when precipitation asymmetry is accounted for in a continuous way in the cascade generator.
Theresa Boas, Heye Reemt Bogena, Dongryeol Ryu, Harry Vereecken, Andrew Western, and Harrie-Jan Hendricks Franssen
Hydrol. Earth Syst. Sci., 27, 3143–3167, https://doi.org/10.5194/hess-27-3143-2023, https://doi.org/10.5194/hess-27-3143-2023, 2023
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In our study, we tested the utility and skill of a state-of-the-art forecasting product for the prediction of regional crop productivity using a land surface model. Our results illustrate the potential value and skill of combining seasonal forecasts with modelling applications to generate variables of interest for stakeholders, such as annual crop yield for specific cash crops and regions. In addition, this study provides useful insights for future technical model evaluations and improvements.
Yuanhong You, Chunlin Huang, Zuo Wang, Jinliang Hou, Ying Zhang, and Peipei Xu
Hydrol. Earth Syst. Sci., 27, 2919–2933, https://doi.org/10.5194/hess-27-2919-2023, https://doi.org/10.5194/hess-27-2919-2023, 2023
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This study aims to investigate the performance of a genetic particle filter which was used as a snow data assimilation scheme across different snow climates. The results demonstrated that the genetic algorithm can effectively solve the problem of particle degeneration and impoverishment in a particle filter algorithm. The system has revealed a low sensitivity to the particle number in point-scale application of the ground snow depth measurement.
Patricia Lawston-Parker, Joseph A. Santanello Jr., and Nathaniel W. Chaney
Hydrol. Earth Syst. Sci., 27, 2787–2805, https://doi.org/10.5194/hess-27-2787-2023, https://doi.org/10.5194/hess-27-2787-2023, 2023
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Irrigation has been shown to impact weather and climate, but it has only recently been considered in prediction models. Prescribing where (globally) irrigation takes place is important to accurately simulate its impacts on temperature, humidity, and precipitation. Here, we evaluated three different irrigation maps in a weather model and found that the extent and intensity of irrigated areas and their boundaries are important drivers of weather impacts resulting from human practices.
Marcos Julien Alexopoulos, Hannes Müller-Thomy, Patrick Nistahl, Mojca Šraj, and Nejc Bezak
Hydrol. Earth Syst. Sci., 27, 2559–2578, https://doi.org/10.5194/hess-27-2559-2023, https://doi.org/10.5194/hess-27-2559-2023, 2023
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For rainfall-runoff simulation of a certain area, hydrological models are used, which requires precipitation data and temperature data as input. Since these are often not available as observations, we have tested simulation results from atmospheric models. ERA5-Land and COSMO-REA6 were tested for Slovenian catchments. Both lead to good simulations results. Their usage enables the use of rainfall-runoff simulation in unobserved catchments as a requisite for, e.g., flood protection measures.
Tuantuan Zhang, Zhongmin Liang, Wentao Li, Jun Wang, Yiming Hu, and Binquan Li
Hydrol. Earth Syst. Sci., 27, 1945–1960, https://doi.org/10.5194/hess-27-1945-2023, https://doi.org/10.5194/hess-27-1945-2023, 2023
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We use circulation classifications and spatiotemporal deep neural networks to correct raw daily forecast precipitation by combining large-scale circulation patterns with local spatiotemporal information. We find that the method not only captures the westward and northward movement of the western Pacific subtropical high but also shows substantially higher bias-correction capabilities than existing standard methods in terms of spatial scale, timescale, and intensity.
Zeyu Xue, Paul Ullrich, and Lai-Yung Ruby Leung
Hydrol. Earth Syst. Sci., 27, 1909–1927, https://doi.org/10.5194/hess-27-1909-2023, https://doi.org/10.5194/hess-27-1909-2023, 2023
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We examine the sensitivity and robustness of conclusions drawn from the PGW method over the NEUS by conducting multiple PGW experiments and varying the perturbation spatial scales and choice of perturbed meteorological variables to provide a guideline for this increasingly popular regional modeling method. Overall, we recommend PGW experiments be performed with perturbations to temperature or the combination of temperature and wind at the gridpoint scale, depending on the research question.
Louise J. Slater, Louise Arnal, Marie-Amélie Boucher, Annie Y.-Y. Chang, Simon Moulds, Conor Murphy, Grey Nearing, Guy Shalev, Chaopeng Shen, Linda Speight, Gabriele Villarini, Robert L. Wilby, Andrew Wood, and Massimiliano Zappa
Hydrol. Earth Syst. Sci., 27, 1865–1889, https://doi.org/10.5194/hess-27-1865-2023, https://doi.org/10.5194/hess-27-1865-2023, 2023
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Hybrid forecasting systems combine data-driven methods with physics-based weather and climate models to improve the accuracy of predictions for meteorological and hydroclimatic events such as rainfall, temperature, streamflow, floods, droughts, tropical cyclones, or atmospheric rivers. We review recent developments in hybrid forecasting and outline key challenges and opportunities in the field.
Zexuan Xu, Erica R. Siirila-Woodburn, Alan M. Rhoades, and Daniel Feldman
Hydrol. Earth Syst. Sci., 27, 1771–1789, https://doi.org/10.5194/hess-27-1771-2023, https://doi.org/10.5194/hess-27-1771-2023, 2023
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The goal of this study is to understand the uncertainties of different modeling configurations for simulating hydroclimate responses in the mountainous watershed. We run a group of climate models with various configurations and evaluate them against various reference datasets. This paper integrates a climate model and a hydrology model to have a full understanding of the atmospheric-through-bedrock hydrological processes.
Jolanda J. E. Theeuwen, Arie Staal, Obbe A. Tuinenburg, Bert V. M. Hamelers, and Stefan C. Dekker
Hydrol. Earth Syst. Sci., 27, 1457–1476, https://doi.org/10.5194/hess-27-1457-2023, https://doi.org/10.5194/hess-27-1457-2023, 2023
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Evaporation changes over land affect rainfall over land via moisture recycling. We calculated the local moisture recycling ratio globally, which describes the fraction of evaporated moisture that rains out within approx. 50 km of its source location. This recycling peaks in summer as well as over wet and elevated regions. Local moisture recycling provides insight into the local impacts of evaporation changes and can be used to study the influence of regreening on local rainfall.
Eleonora Dallan, Francesco Marra, Giorgia Fosser, Marco Marani, Giuseppe Formetta, Christoph Schär, and Marco Borga
Hydrol. Earth Syst. Sci., 27, 1133–1149, https://doi.org/10.5194/hess-27-1133-2023, https://doi.org/10.5194/hess-27-1133-2023, 2023
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Convection-permitting climate models could represent future changes in extreme short-duration precipitation, which is critical for risk management. We use a non-asymptotic statistical method to estimate extremes from 10 years of simulations in an orographically complex area. Despite overall good agreement with rain gauges, the observed decrease of hourly extremes with elevation is not fully represented by the model. Climate model adjustment methods should consider the role of orography.
Bora Shehu, Winfried Willems, Henrike Stockel, Luisa-Bianca Thiele, and Uwe Haberlandt
Hydrol. Earth Syst. Sci., 27, 1109–1132, https://doi.org/10.5194/hess-27-1109-2023, https://doi.org/10.5194/hess-27-1109-2023, 2023
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Rainfall volumes at varying duration and frequencies are required for many engineering water works. These design volumes have been provided by KOSTRA-DWD in Germany. However, a revision of the KOSTRA-DWD is required, in order to consider the recent state-of-the-art and additional data. For this purpose, in our study, we investigate different methods and data available to achieve the best procedure that will serve as a basis for the development of the new KOSTRA-DWD product.
Sandra M. Hauswirth, Marc F. P. Bierkens, Vincent Beijk, and Niko Wanders
Hydrol. Earth Syst. Sci., 27, 501–517, https://doi.org/10.5194/hess-27-501-2023, https://doi.org/10.5194/hess-27-501-2023, 2023
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Forecasts on water availability are important for water managers. We test a hybrid framework based on machine learning models and global input data for generating seasonal forecasts. Our evaluation shows that our discharge and surface water level predictions are able to create reliable forecasts up to 2 months ahead. We show that a hybrid framework, developed for local purposes and combined and rerun with global data, can create valuable information similar to large-scale forecasting models.
Richard Arsenault, Jean-Luc Martel, Frédéric Brunet, François Brissette, and Juliane Mai
Hydrol. Earth Syst. Sci., 27, 139–157, https://doi.org/10.5194/hess-27-139-2023, https://doi.org/10.5194/hess-27-139-2023, 2023
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Predicting flow in rivers where no observation records are available is a daunting task. For decades, hydrological models were set up on these gauges, and their parameters were estimated based on the hydrological response of similar or nearby catchments where records exist. New developments in machine learning have now made it possible to estimate flows at ungauged locations more precisely than with hydrological models. This study confirms the performance superiority of machine learning models.
Shaun Harrigan, Ervin Zsoter, Hannah Cloke, Peter Salamon, and Christel Prudhomme
Hydrol. Earth Syst. Sci., 27, 1–19, https://doi.org/10.5194/hess-27-1-2023, https://doi.org/10.5194/hess-27-1-2023, 2023
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Real-time river discharge forecasts and reforecasts from the Global Flood Awareness System (GloFAS) have been made publicly available, together with an evaluation of forecast skill at the global scale. Results show that GloFAS is skillful in over 93 % of catchments in the short (1–3 d) and medium range (5–15 d) and skillful in over 80 % of catchments in the extended lead time (16–30 d). Skill is summarised in a new layer on the GloFAS Web Map Viewer to aid decision-making.
Ying Li, Chenghao Wang, Ru Huang, Denghua Yan, Hui Peng, and Shangbin Xiao
Hydrol. Earth Syst. Sci., 26, 6413–6426, https://doi.org/10.5194/hess-26-6413-2022, https://doi.org/10.5194/hess-26-6413-2022, 2022
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Spatial quantification of oceanic moisture contribution to the precipitation over the Tibetan Plateau (TP) contributes to the reliable assessments of regional water resources and the interpretation of paleo archives in the region. Based on atmospheric reanalysis datasets and numerical moisture tracking, this work reveals the previously underestimated oceanic moisture contributions brought by the westerlies in winter and the overestimated moisture contributions from the Indian Ocean in summer.
Urmin Vegad and Vimal Mishra
Hydrol. Earth Syst. Sci., 26, 6361–6378, https://doi.org/10.5194/hess-26-6361-2022, https://doi.org/10.5194/hess-26-6361-2022, 2022
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Floods cause enormous damage to infrastructure and agriculture in India. However, the utility of ensemble meteorological forecast for hydrologic prediction has not been examined. Moreover, Indian river basins have a considerable influence of reservoirs that alter the natural flow variability. We developed a hydrologic modelling-based streamflow prediction considering the influence of reservoirs in India.
Camille Labrousse, Wolfgang Ludwig, Sébastien Pinel, Mahrez Sadaoui, Andrea Toreti, and Guillaume Lacquement
Hydrol. Earth Syst. Sci., 26, 6055–6071, https://doi.org/10.5194/hess-26-6055-2022, https://doi.org/10.5194/hess-26-6055-2022, 2022
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The interest of this study is to demonstrate that we identify two zones in our study area whose hydroclimatic behaviours are uneven. By investigating relationships between the hydroclimatic conditions in both clusters for past observations with the overall atmospheric functioning, we show that the inequalities are mainly driven by a different control of the atmospheric teleconnection patterns over the area.
Daeha Kim, Minha Choi, and Jong Ahn Chun
Hydrol. Earth Syst. Sci., 26, 5955–5969, https://doi.org/10.5194/hess-26-5955-2022, https://doi.org/10.5194/hess-26-5955-2022, 2022
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We proposed a practical method that predicts the evaporation rates on land surfaces (ET) where only atmospheric data are available. Using a traditional equation that describes partitioning of precipitation into ET and streamflow, we could approximately identify the key parameter of the predicting formulation based on land–atmosphere interactions. The simple method conditioned by local climates outperformed sophisticated models in reproducing water-balance estimates across Australia.
Cited articles
Alvarez-Garreton, C., Ryu, D., Western, A. W., Su, C. H., Crow, W. T.,
Robertson, D. E., and Leahy, C.: Improving operational flood ensemble
prediction by the assimilation of satellite soil moisture: Comparison between lumped and semi-distributed schemes, Hydrol. Earth Syst. Sci.,19,
1659–1676, https://doi.org/10.5194/hess-19-1659-2015, 2015.
Aminyavari, S., Saghafian, B., and Delavar, M.: Evaluation of TIGGE Ensemble
Forecasts of Precipitation in Distinct Climate Regions in Iran, Adv. Atmos.
Sci., 35, 457–468, 2018.
Andreadis, K. M., Storck, P., and Lettenmaier, D. P.: Modeling snow accumulation and ablation processes in forested environments, Water Resour.
Res., 45, W05429, https://doi.org/10.1029/2008WR007042, 2009.
Arheimer, B., Lindström, G., and Olsson, J.: A systematic review of
sensitivities in the Swedish flood-forecasting system, Atmos. Res., 100,
275–284, https://doi.org/10.1016/j.atmosres.2010.09.013, 2011.
Arnal, L., Cloke, H. L., Stephens, E., Wetterhall, F., Prudhomme, C., Neumann, J., Krzeminski, B., and Pappenberger, F.: Skilful seasonal forecasts of streamflow over Europe?, Hydrol. Earth Syst. Sci., 22, 2057–2072, https://doi.org/10.5194/hess-22-2057-2018, 2018.
Bartholmes, J. C., Thielen, J., Ramos, M. H., and Gentilini, S.: The
european flood alert system EFAS – Part 2: Statistical skill assessment of
probabilistic and deterministic operational forecasts, Hydrol. Earth Syst.
Sci., 13, 141–153, https://doi.org/10.5194/hess-13-141-2009, 2009.
Bauer, P., Thorpe, A., and Brunet, G.: The quiet revolution of numerical
weather prediction, Nature, 525, 47–55, https://doi.org/10.1038/nature14956, 2015.
Bavera, D., De Michele, C., Pepe, M., and Rampini, A.: Melted snow volume
control in the snowmelt runoff model using a snow water equivalent
statistically based model, Hydrol. Process., 26, 3405–3415, https://doi.org/10.1002/hyp.8376, 2012.
Bennett, J. C., Robertson, D. E., Shrestha, D. L., Wang, Q. J., Enever, D.,
Hapuarachchi, P., and Tuteja, N. K.: A System for Continuous Hydrological
Ensemble Forecasting (SCHEF) to lead times of 9 days, J. Hydrol., 519,
2832–2846, https://doi.org/10.1016/j.jhydrol.2014.08.010, 2014.
Che, T., Xin, L., Jin, R., Armstrong, R., and Zhang, T.: Snow depth derived
from passive microwave remote-sensing data in China, Ann. Glaciol., 49, 145–154, https://doi.org/10.3189/172756408787814690, 2008.
Chen, X., Long, D., Hong, Y., Zeng, C., and Yan, D.: Improved modelling 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.
Cheng, G. and Wu, T.: Responses of permafrost to climate change and their
environmental significance, Qinghai-Tibet Plateau, J. Geophys. Res., 112,
F02S03, https://doi.org/10.1029/2006JF000631, 2007.
Cherkauer, K. A. and Lettenmaier, D. P.: Hydrologic effects of frozen soils in the upper Mississippi River basin, J. Geophys. Res., 104, 19599–19610,
https://doi.org/10.1029/1999JD900337, 1999.
Cherkauer, K. A. and Lettenmaier, D. P.: Simulation of spatial variability in snow and frozen soil, J. Geophys. Res., 108, 8858, https://doi.org/10.1029/2003JD003575, 2003.
Clark, M., Gangopadhyay, S., Hay, L., Rajagopalan, B., and Wilby, R.: The
Schaake shuffle: A method for reconstructing space–time variability in
forecasted precipitation and temperature fields, J. Hydrometeorol., 5,
243–262, 2004.
Cloke, H. L. and Pappenberger, F.: Ensemble flood forecasting: A review, J. Hydrol., 375, 613–626, https://doi.org/10.1016/j.jhydrol.2009.06.005, 2009.
Cloke, H. L., Pappenberger, F., van Andel, S. J., Schaake, J., Thielen, J.,
and Ramos, M. H.: Hydrological Ensemble Prediction Systems (HEPS). Preface
to special issue, Hydrol. Process., 27, 1–4, https://doi.org/10.1002/hyp.9679, 2013.
Cloke, H. L., Pappenberger, F., Smith, P. J., and Wetterhall, F.: How do I know if I've improved my continental scale flood early warning system?,
Environ. Res. Lett., 12, 044006, https://doi.org/10.1088/1748-9326/aa625a, 2017.
Cuo, L., Zhang, Y., Gao, Y., Hao, Z., and Cairang, L.: The impacts of climate change and land cover/use transition on the hydrology in the upper Yellow River Basin, China, J. Hydrol., 502, 37–52, https://doi.org/10.1016/j.jhydrol.2013.08.003, 2013a.
Cuo, L., Zhang, Y., Wang, Q., Zhang, L., Zhou, B., Hao, Z., and Su, F.:
Climate change on the northern Tibetan Plateau during 1957–2009: Spatial
patterns and possible mechanisms, J. Climate, 26, 85–109, https://doi.org/10.1175/JCLI-D-11-00738.1,2013b.
Cuo, L., Zhang, Y., Zhu, F., and Liang, L.: Characteristics and changes of
streamflow on the Tibetan Plateau: A review, J. Hydrol., 2, 49–68,
https://doi.org/10.1016/j.ejrh.2014.08.004, 2014.
Dai, L., Che, T., and Ding, Y.: Inter-calibrating SMMR, SSM/I and SSMI/S data to improve the consistency of snow-depth products in China, Remote Sens., 7, 7212–7230, https://doi.org/10.3390/rs70607212, 2015.
Dittmann, R., Froehlich, F., Pohl, R., and Ostrowski, M.: Optimum multi-objective reservoir operation with emphasis on flood control and ecology, Nat. Hazard Earth Syst., 9, 1973–1980, https://doi.org/10.5194/nhess-9-1973-2009, 2009.
Fischer, G., Nachtergaele, F., Prieler, S., Van Velthuizen, H. T., Verelst, L. and Wiberg, D.: Global agro-ecological zones assessment for agriculture (GAEZ 2008), IIASA, Laxenburg, Austria and FAO, Rome, Italy, 2008.
Girons Lopez, M., Di Baldassarre, G., and Seibert, J.: Impact of social
preparedness on flood early warning systems, Water Resour. Res., 53, 522–534, https://doi.org/10.1002/2016WR019387, 2017.
Gong, W., Duan, Q., Li, J., Wang, C., Di, Z., Dai, Y., Ye, A., and Miao, C.:
Multi-objective parameter optimization of common land model using adaptive
surrogate modeling, Hydrol. Earth Syst. Sci., 19, 2409–2425,
https://doi.org/10.5194/hess-19-2409-2015, 2015.
Guo, D. and Wang, H.: The significant climate warming in the northern Tibetan Plateau and its possible causes, Int. J. Climatol., 32, 1775–1781,
https://doi.org/10.1002/joc.2388, 2012.
Hamill, T. M. and Scheuerer, M.: Probabilistic Precipitation Forecast
Postprocessing Using Quantile Mapping and Rank-Weighted Best-Member Dressing, Mon. Weather Rev., 146, 4079–4098, 2018.
Harrigan, S., Prudhomme, C., Parry, S., Smith, K., and Tanguy, M.: Benchmarking ensemble streamflow prediction skill in the UK, Hydrol. Earth Syst. Sci., 22, 2023–2039, https://doi.org/10.5194/hess-22-2023-2018, 2018.
Hersbach, H.: Decomposition of the continuous ranked probability score for
ensemble prediction systems, Weather Forecast., 15, 559–570, 2000.
Kalra, A., Li, L., Li, X., and Ahmad, S.: Improving streamflow forecast lead
time using oceanic-atmospheric oscillations for Kaidu River Basin, Xinjiang,
China, J. Hydrol. Eng., 18, 1031–1040, 2012.
Kamali, B., Mousavi, S. J., and Abbaspour, K. C.: Automatic calibration of
HEC-HMS using single-objective and multi-objective PSO algorithms, Hydrol.
Process., 27, 4028–4042, https://doi.org/10.1002/hyp.9510, 2013.
Khu, S. T. and Madsen, H.: Multiobjective calibration with Pareto preference ordering: An application to rainfall-runoff model calibration, Water Resour. Res., 41, W03004, https://doi.org/10.1029/2004WR003041, 2005.
Kollat, J. B., Reed, P. M., and Wagener, T.: When are multiobjective calibration trade‐offs in hydrologic models meaningful?, Water Resour. Res., 48, W03520, https://doi.org/10.1029/2011WR011534, 2012.
Kuang, X. and Jiao, J. J.: Review on climate change on the Tibetan Plateau
during the last half century, J. Geophys. Res., 121, 3979–4007,
https://doi.org/10.1002/2015JD024728, 2016.
Laudon, H., Hemond, H. F., Krouse, R., and Bishop, K. H.: Oxygen 18
fractionation during snowmelt: Implications for spring flood hydrograph
separation, Water Resour. Res., 38, 1258, https://doi.org/10.1029/2002WR001510, 2002.
Li, D., Wrzesien, M. L., Durand, M., Adam, J., and Lettenmaier, D. P.: How
much runoff originates as snow in the western United States, and how will
that change in the future?, Geophys. Res. Lett., 44, 6163–6172,
https://doi.org/10.1002/2017GL073551, 2017.
Li, F., Xu, Z., Feng, Y., Liu, M., and Liu, W.: Changes of land cover in the
Yarlung Tsangpo River basin from 1985 to 2005, Environ. Earth Sci., 68,
181–188, 2013.
Li, F., Xu, Z., Liu, W., and Zhang, Y.: The impact of climate change on runoff in the Yarlung Tsangpo River basin in the Tibetan Plateau, Stoch.
Environ. Res. Risk A., 28, 517–526, https://doi.org/10.1007/s00477-013-0769-z, 2014.
Li, H., Sheffield, J., and Wood, E. F.: Bias correction of monthly precipitation and temperature fields from Intergovernmental Panel on Climate
Change AR4 models using equidistant quantile matching, J. Geophys. Res., 115, D10101, https://doi.org/10.1029/2009JD012882, 2010.
Liang, X., Lettenmaier, D. P., and Wood, E. F.: One-dimensional statistical
dynamic representation of subgrid spatial variability of precipitation in
the two-layer variable infiltration capacity model, J. Geophys. Res., 101,
21403–21422, https://doi.org/10.1029/96JD01448, 1996.
Liang, X., Lettenmaier, D. P., Wood, E. F., and Burges, S. J.: A simple
hydrologically based model of land surface water and energy fluxes for
general circulation models, J. Geophys. Res., 99, 14415–14428,
https://doi.org/10.1029/94JD00483, 1994.
Liu, L., Gao, C., Xuan, W., and Xu, Y. P.: Evaluation of medium-range ensemble flood forecasting based on calibration strategies and ensemble
methods in Lanjiang Basin, Southeast China, J. Hydrol., 554, 233–250, 2017.
Liu, T. C.: Hydrological characteristics of Yarlung Zangbo River, Acta Geogr. Sin., 54, 157–164, 1999.
Liu, Z., Tian, L., Yao, T., Gong, T., Yin, C., and Yu, W.: Temporal and spatial variations of δ18O in precipitation of the YarlungZangbo River Basin, J. Geogr. Sci., 17, 317–326, https://doi.org/10.1007/s11442-007-0317-1, 2007.
Liu, Z., Yao, Z., Huang, H., Wu, S., and Liu, G.: Land use and climate changes and their impacts on runoff in the Yarlung Zangbo river basin, China, Land Degrad. Dev., 25, 203–215, https://doi.org/10.1002/ldr.1159, 2014.
Louvet, S., Sultan, B., Janicot, S., Kamsu-Tamo, P. H., and Ndiaye, O.:
Evaluation of TIGGE precipitation forecasts over West Africa at intraseasonal timescale, Clim. Dynam., 47, 31–47, https://doi.org/10.1007/s00382-015-2820-x, 2016.
Luo, Y., Arnold, J., Allen, P., and Chen, X.: Baseflow simulation using SWAT
model in an inland river basin in Tianshan Mountains, Northwest China, Hydrol. Earth Syst. Sci., 16, 1259–1267, https://doi.org/10.5194/hess-16-1259-2012, 2012.
Pappenberger, F., Beven, K. J., Hunter, N. M., Bates, P. D., Gouweleeuw, B. T., Thielen, J., and de Roo, A. P. J.: Cascading model uncertainty from medium range weather forecasts (10 days) through a rainfall-runoff model to flood inundation predictions within the European Flood Forecasting System (EFFS), Hydrol. Earth Syst. Sci., 9, 381–393, https://doi.org/10.5194/hess-9-381-2005, 2005.
Pappenberger, F., Cloke, H. L., Parker, D. J., Wetterhall, F., Richardson, D. S., and Thielen, J.: The monetary benefit of early flood warnings in Europe, Environ. Sci. Policy, 51, 278–291, https://doi.org/10.1016/j.envsci.2015.04.016, 2015.
Partington, D., Brunner, P., Simmons, C. T., Therrien, R., Werner, A. D., Dandy, G. C., and Maier, H. R.: A hydraulic mixing-cell method to quantify the groundwater component of streamflow within spatially distributed fully
integrated surface water–groundwater flow models, Environ. Model. Softw., 26, 886–898, https://doi.org/10.1016/j.envsoft.2011.02.007, 2011.
Ran, Y., Li, X., and Lu, L.: Evaluation of four remote sensing based land cover products over China, Int. J. Remote Sens., 31, 391–401, https://doi.org/10.1080/01431160902893451, 2010.
Salathé Jr., E. P., Hamlet, A. F., Mass, C. F., Lee, S. Y., Stumbaugh, M., and Steed, R.: Estimates of twenty-first-century flood risk in the
Pacific Northwest based on regional climate model simulations, J. Hydrometeorol., 15, 1881–1899, https://doi.org/10.1175/JHM-D-13-0137.1, 2014.
Schepen, A., Zhao, T., Wang, Q. J., and Robertson, D. E.: A Bayesian modelling method for post-processing daily sub-seasonal to seasonal rainfall forecasts from global climate models and evaluation for 12 Australian catchments, Hydrol. Earth Syst. Sci., 22, 1615–1628, https://doi.org/10.5194/hess-22-1615-2018, 2018.
Shen, W., Li, H., Sun, M., and Jiang, J.: Dynamics of aeolian sandy land in
the Yarlung Zangbo River basin of Tibet, China from 1975 to 2008, Global
Planet. Change, 86, 37–44, https://doi.org/10.1016/j.gloplacha.2012.01.012, 2012.
Shi, H., Li, T., Liu, R., Chen, J., Li, J., Zhang, A., and Wang, G.: A
service-oriented architecture for ensemble flood forecast from numerical
weather prediction, J. Hydrol., 527, 933–942, https://doi.org/10.1016/j.jhydrol.2015.05.056, 2015.
Shrestha, M., Koike, T., Hirabayashi, Y., Xue, Y., Wang, L., Rasul, G., and
Ahmad, B.: Integrated simulation of snow and glacier melt in water and energy balance-based, distributed hydrological modelling framework at Hunza River Basin of Pakistan Karakoram region, J. Geophys. Res., 120, 4889–4919,
https://doi.org/10.1002/2014JD022666, 2015.
Siderius, C., Biemans, H., Wiltshire, A., Rao, S., Franssen, W. H. P., Kumar, P., Gosain, A. K., Van Vliet, M. T. H., and Collins, D. N.: Snowmelt contributions to discharge of the Ganges, Sci. Total Environ., 468, S93–S101, https://doi.org/10.1016/j.scitotenv.2013.05.084, 2013.
Smith, A., Freer, J., Bates, P., and Sampson, C.: Comparing ensemble projections of flooding against flood estimation by continuoussimulation, J. Hydrol., 511, 205–219, https://doi.org/10.1016/j.jhydrol.2014.01.045, 2014.
Smith, M. B., Seo, D. J., Koren, V. I., Reed, S. M., Zhang, Z.,Duan, Q., Moreda, F., and Cong, S.: The distributed model intercomparison project (DMIP): motivation and experiment design, J. Hydrol., 298, 4–26, https://doi.org/10.1016/j.jhydrol.2004.03.040, 2004.
Stauffer, R., Mayr, G. J., Messner, J. W., Umlauf, N., and Zeileis, A.:
Spatio-temporal precipitation climatology over complex terrain using a censored additive regression model, Int. J. Climatol., 37, 3264–3275,
https://doi.org/10.1002/joc.4913, 2017.
Su, F., Duan, X., Chen, D., Hao, Z., and Cuo, L.: Evaluation of the global
climate models in the CMIP5 over the Tibetan Plateau, J. Climate, 26,
3187–3208, https://doi.org/10.1175/JCLI-D-12-00321.1, 2013.
Su, F., Zhang, L., Ou, T., Chen, D., Yao, T., Tong, K., and Qi, Y.:
Hydrological response to future climate changes for the major upstream river
basins in the Tibetan Plateau, Global Planet. Change, 136, 82–95,
https://doi.org/10.1016/j.gloplacha.2015.10.012, 2016.
Sun, C., Chen, Y., Li, X., and Li, W.: Analysis on the streamflow components of the typical inland river, Northwest China, Hydrolog. Sci. J., 61,
970–981, https://doi.org/10.1080/02626667.2014.1000914, 2016.
Sun, R., Zhang, X., Sun, Y., Zheng, D., and Fraedrich, K.: SWAT-based
streamflow estimation and its responses to climate change in the Kadongjia
River watershed, southern Tibet, J. Hydrometeorol., 14, 1571–1586, 2013.
Tang, Q. and Lettenmaier, D. P.: Use of satellite snow-cover data for
streamflow prediction in the Feather River Basin, California, Int. J. Remote
Sens., 31, 3745–3762, https://doi.org/10.1080/01431161.2010.483493, 2010.
Tao, Y., Duan, Q., Ye, A., Gong, W., Di, Z., Xiao, M., and Hsu, K.: An
evaluation of post-processed TIGGE multimodel ensemble precipitation forecast in the Huai river basin, J. Hydrol., 519, 2890–2905, https://doi.org/10.1016/j.jhydrol.2014.04.040, 2014.
Teutschbein, C. and Seibert, J.: Bias correction of regional climate model
simulations for hydrological climate-change impact studies: Review and
evaluation of different methods, J. Hydrol., 456, 12–29, https://doi.org/10.1016/j.jhydrol.2012.05.052, 2012.
Todini, E.: Flood Forecasting and Decision Making in the new Millennium. Where are We?, Water Resour. Manage., 31, 3111–3119, https://doi.org/10.1007/s11269-017-1693-7, 2017.
Tong, K., Su, F., Yang, D., Zhang, L., and Hao, Z.: Tibetan Plateau
precipitation as depicted by gauge observations, reanalyses and satellite
retrievals, Int. J. Remote Sens., 34, 265–285, https://doi.org/10.1002/joc.3682, 2014.
Troy, T. J., Wood, E. F., and Sheffield, J.: An efficient calibration method
for continental-scale land surface modelling, Water Resour. Res., 44, W09411, https://doi.org/10.1029/2007WR006513, 2008.
Valeriano, S., Oliver, C., Koike, T., Yang, K., Graf, T., Li, X., Wang, L.,
and Han, X.: Decision support for dam release during floods using a distributed biosphere hydrological model driven by quantitative precipitation forecasts, Water Resour. Res., 46, W10544, https://doi.org/10.1029/2010WR009502, 2010.
Viste, E., Korecha, D., and Sorteberg, A.: Recent drought and precipitation
tendencies in Ethiopia, Theor. Appl. Climatol., 112, 535–551, https://doi.org/10.1007/s00704-012-0746-3, 2013.
Voisin, N., Pappenberger, F., Lettenmaier, D. P., Buizza, R., and Schaake, J. C.: Application of a medium-range global hydrologic probabilistic forecast scheme to the Ohio River basin, Weather Forecast., 26, 425–446,
https://doi.org/10.1175/WAF-D-10-05032.1, 2011.
Wang, Q.: Prevention of Tibetan eco-environmental degradation caused by traditional use of biomass, Renew. Sustain. Energ. Rev., 13, 2562–2570, https://doi.org/10.1016/j.rser.2009.06.013, 2009.
Wang, X., Yang, M., Liang, X., Pang, G., Wan, G., Chen, X., and Luo, X.: The
dramatic climate warming in the Qaidam Basin, northeastern Tibetan Plateau,
during 1961–2010, Int. J. Remote Sens., 34, 1524–1537, https://doi.org/10.1002/joc.3781, 2014.
Wang, X., Pang, G., and Yang, M.: Precipitation over the Tibetan Plateau
during recent decades: A review based on observations and simulations, Int.
J. Remote Sens., 38, 1116–1131, https://doi.org/10.1002/joc.5246, 2017.
Wöhling, T., Gayler, S., Priesack, E., Ingwersen, J., Wizemann, H. D.,
Högy, P., Cuntz, M., Attinger, S., Wulfmeyer, V., and Streck, T.:
Multiresponse, multiobjective calibration as a diagnostic tool to compare
accuracy and structural limitations of five coupled soil-plant models and
CLM3.5, Water Resour. Res., 49, 8200–8221, https://doi.org/10.1002/2013WR014536, 2013.
Xu, X., Lu, C., Shi, X., and Gao, S.: World water tower: An atmospheric
perspective, Geophys. Res. Lett., 35, L20815, https://doi.org/10.1029/2008GL035867,
2008.
Xu, Y. P., Gao, X., Zhu, Q., Zhang, Y., and Kang, L.: Coupling a regional
climate model and a distributed hydrological model to assess future water
resources in Jinhua river basin, east China, J. Hydrol. Eng., 20, 04014054,
https://doi.org/10.1061/(ASCE)HE.1943-5584.0001007, 2014.
Yang, K., Wu, H., Qin, J., Lin, C., Tang, W., and Chen, Y.: Recent climate
changes over the Tibetan Plateau and their impacts on energy and water cycle: A review, Global Planet. Change, 112, 79–91, https://doi.org/10.1016/j.gloplacha.2013.12.001, 2014.
Yang, W., Andréasson, J., Graham, L. P., Olsson, J., Rosberg, J., and
Wetterhall, F.: Distribution-based scaling to improve usability of regional
climate model projections for hydrological climate change impacts studies, Hydrol. Res., 41, 211–229, https://doi.org/10.2166/nh.2010.004, 2010.
Yapo, P. O., Gupta, H. V., and Sorooshian, S.: Multi-objective global
optimization for hydrologic models, J. Hydrol., 204, 83–97, https://doi.org/10.1016/S0022-1694(97)00107-8, 1998.
Yuan, X., Wood, E. F., Roundy, J. K., and Pan, M.: CFSv2-based seasonal
hydroclimatic forecasts over the conterminous United States, J. Climate, 26,
4828–4847, https://doi.org/10.1175/JCLI-D-12-00683.1, 2013.
Yucel, I., Onen, A., Yilmaz, K. K., and Gochis, D. J.: Calibration and
evaluation of a flood forecasting system: Utility of numerical weather
prediction model, data assimilation and satellite-based rainfall, J. Hydrol., 523, 49–66, https://doi.org/10.1016/j.jhydrol.2015.01.042, 2015.
Zhang, J. P., Chen, X. H., and Zou, X. Y.: The eco-environmental problems
and its countermeasures in Tibet, J. Mt. Sci., 19, 81–86, 2001.
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., 118, 8500–8518, https://doi.org/10.1002/jgrd.50665, 2013.
Zhao, Q., Ye, B., Ding, Y., Zhang, S., Yi, S., Wang, J., Shangguan, D., Zhao, C., and Han, H.: Coupling a glacier melt model to the Variable Infiltration Capacity (VIC) model for hydrological modeling in north-western China, Environ. Earth Sci., 68, 87–101, https://doi.org/10.1007/s12665-012-1718-8, 2013.
Zhao, Y. Z., Zou, X. Y., Cheng, H., Jia, H. K., Wu, Y. Q., Wang, G. Y., Zhang, C. L., and Gao, S. Y.: Assessing the ecological security of the Tibetan plateau: Methodology and a case study for Lhaze County, J. Environ. Manage., 80, 120–131, https://doi.org/10.1016/j.jenvman.2005.08.019, 2005.
Zhu, Q., Zhang, X., Ma, C., Gao, C., and Xu, Y. P.: Investigating the
uncertainty and transferability of parameters in SWAT model under climate
change, Hydrolog. Sci. J., 61, 914–930, https://doi.org/10.1080/02626667.2014.1000915, 2016.
Short summary
The ensemble flood forecasting system can skillfully predict annual maximum floods with a lead time of more than 10 d and has skill in forecasting the snowmelt-related components about 7 d ahead. The accuracy of forecasts for the annual first floods is inferior, with a lead time of only 5 d. The snowmelt-induced surface runoff is the most poorly captured component by the system, and the well-predicted rainfall-related components are the major contributor to good performance.
The ensemble flood forecasting system can skillfully predict annual maximum floods with a lead...
