Articles | Volume 23, issue 1
https://doi.org/10.5194/hess-23-621-2019
© 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-23-621-2019
© Author(s) 2019. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Research article
| 
01 Feb 2019
Research article |
| 01 Feb 2019
| 01 Feb 2019
More severe hydrological drought events emerge at different warming levels over the Wudinghe watershed in northern China
Yang Jiao
School of Hydrology and Water Resources, Nanjing University of Information Science and Technology, Nanjing, 210044, Jiangsu, China
Key Laboratory of Regional Climate-Environment for Temperate East Asia (RCE-TEA), Institute of Atmospheric Physics, Chinese Academy of Sciences, Beijing, 100029, China
School of Hydrology and Water Resources, Nanjing University of Information Science and Technology, Nanjing, 210044, Jiangsu, China
Key Laboratory of Regional Climate-Environment for Temperate East Asia (RCE-TEA), Institute of Atmospheric Physics, Chinese Academy of Sciences, Beijing, 100029, China
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Hourly streamflow ensemble forecasts with the CSSPv2 land surface model and ECMWF meteorological forecasts reduce both the probabilistic and deterministic forecast error compared with the ensemble streamflow prediction approach during the first week. The deterministic forecast error can be further reduced in the first 72 h when combined with the long short-term memory (LSTM) deep learning method. The forecast skill for LSTM using only historical observations drops sharply after the first 24 h.
Miao Zhang and Xing Yuan
Hydrol. Earth Syst. Sci., 24, 5579–5593, https://doi.org/10.5194/hess-24-5579-2020, https://doi.org/10.5194/hess-24-5579-2020, 2020
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We identify flash drought events by considering the decline rate of soil moisture and the drought persistency, and we detect the response of ecosystem carbon and water fluxes to flash droughts based on FLUXNET observations. We find rapid declines in carbon assimilation within 16–24 d of flash drought onset, where savannas show the highest sensitivity. Water use efficiency increases for forests but decreases for herbaceous ecosystems during the recovery stage of flash droughts.
Peng Ji, Xing Yuan, Feng Ma, and Ming Pan
Hydrol. Earth Syst. Sci., 24, 5439–5451, https://doi.org/10.5194/hess-24-5439-2020, https://doi.org/10.5194/hess-24-5439-2020, 2020
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By performing high-resolution land surface modeling driven by the latest CMIP6 climate models, we find both the dry streamflow extreme over the drought-prone Yellow River headwater and the wet streamflow extreme over the flood-prone Yangtze River headwater will increase under 1.5, 2.0 and 3.0 °C global warming levels and emphasize the importance of considering ecological changes (i.e., vegetation greening and CO2 physiological forcing) in the hydrological projection.
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A global data record for all four terrestrial water budget variables (precipitation, evapotranspiration, runoff, and total water storage change) at 0.5° resolution and monthly scale for the period of 1984–2010 is developed by optimally merging a series of remote sensing products, in situ measurements, land surface model outputs, and atmospheric reanalysis estimates and enforcing the mass balance of water. Initial validations show the data record is reliable for climate related analysis.
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Hydrol. Earth Syst. Sci., 21, 5477–5492, https://doi.org/10.5194/hess-21-5477-2017, https://doi.org/10.5194/hess-21-5477-2017, 2017
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Understanding and forecasting of hydrological drought in the Anthropocene are grand challenges. Human interventions exacerbate hydrological drought conditions and result in earlier drought onset. By considering their effects in the forecast, the probabilistic drought forecast skill increases for both climate-model-based and climatology methods but their difference decreases, suggesting that human interventions can outweigh the climate variability for drought forecasting in the Anthropocene.
Randal D. Koster, Alan K. Betts, Paul A. Dirmeyer, Marc Bierkens, Katrina E. Bennett, Stephen J. Déry, Jason P. Evans, Rong Fu, Felipe Hernandez, L. Ruby Leung, Xu Liang, Muhammad Masood, Hubert Savenije, Guiling Wang, and Xing Yuan
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Large-scale hydrological variability can affect society in profound ways; floods and droughts, for example, often cause major damage and hardship. A recent gathering of hydrologists at a symposium to honor the career of Professor Eric Wood motivates the present survey of recent research on this variability. The surveyed literature and the illustrative examples provided in the paper show that research into hydrological variability continues to be strong, vibrant, and multifaceted.
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Hydrol. Earth Syst. Sci., 21, 1477–1490, https://doi.org/10.5194/hess-21-1477-2017, https://doi.org/10.5194/hess-21-1477-2017, 2017
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Xing Yuan, Feng Ma, Linying Wang, Ziyan Zheng, Zhuguo Ma, Aizhong Ye, and Shaoming Peng
Hydrol. Earth Syst. Sci., 20, 2437–2451, https://doi.org/10.5194/hess-20-2437-2016, https://doi.org/10.5194/hess-20-2437-2016, 2016
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An experimental seasonal hydrological forecasting system is established over the Yellow River basin to provide adaptive support in a changing environment. The system consists of downscaled NMME climate prediction, hydrological models calibrated against naturalized streamflow along the mainstream, and a post-processor to account for the human interventions implicitly. As the first paper of a two-part series, this paper investigates the hydrological predictability by using reverse ESP simulations.
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Hydrol. Earth Syst. Sci., 20, 2453–2466, https://doi.org/10.5194/hess-20-2453-2016, https://doi.org/10.5194/hess-20-2453-2016, 2016
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This paper evaluates the added value from climate forecast models over the Yellow River basin. Without considering the errors in hydrological models, the climate-model-based seasonal hydrological forecasts show higher skill than the climatological forecasts, especially during the rainy season. The improvement decreases especially at short leads when the post-processed forecasts are verified against observed streamflow, and the added value mainly exists in the transition from wet to dry seasons.
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
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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
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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
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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.
Amy Charlotte Green, Chris G. Kilsby, and András Bárdossy
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Weather radar is a crucial tool in rainfall estimation, but radar rainfall estimates are subject to many error sources, with the true rainfall field unknown. A flexible model for simulating errors relating to the radar rainfall estimation process is implemented, inverting standard processing methods. This flexible and efficient model performs well at generating realistic weather radar images visually, for a large range of event types.
He Sun, Tandong Yao, Fengge Su, Wei Yang, and Deliang Chen
Hydrol. Earth Syst. Sci. Discuss., https://doi.org/10.5194/hess-2024-11, https://doi.org/10.5194/hess-2024-11, 2024
Revised manuscript accepted for HESS
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Our findings revealed runoff generation is dominated by rainfall runoff in the YZ, and the largest glacier runoff contribution is in the downstream sub-basin. Annual runoff trends indicate an increase in the NX but a decrease in the NX-BXK for 1971–2020, due to contrasting precipitation changes. Total runoff across the sub-basins will consistently increase through the 21st century, mostly resulting from increased rainfall runoff.
Louise Arnal, Martyn P. Clark, Alain Pietroniro, Vincent Vionnet, David R. Casson, Paul H. Whitfield, Vincent Fortin, Andrew W. Wood, Wouter J. M. Knoben, Brandi W. Newton, and Colleen Walford
EGUsphere, https://doi.org/10.5194/egusphere-2023-3040, https://doi.org/10.5194/egusphere-2023-3040, 2024
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Forecasting river flows months in advance is crucial for many water sectors and society. In N. America, snowmelt is a key driver of river flow. This study presents a statistical workflow using snow data to forecast flows months ahead in N. American snow-fed rivers. Variations in predictability across the continent are evident, raising concerns about future river flow predictability amid a changing (snow) climate. The reproducible workflow hosted on GitHub supports collaborative and open science.
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.
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.
Peter E. Levy and the COSMOS-UK team
EGUsphere, https://doi.org/10.5194/egusphere-2023-2041, https://doi.org/10.5194/egusphere-2023-2041, 2023
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Having accurate up-to-date maps of soil moisture is important for many purposes. However, current modelled and remotely-sensed maps are rather coarse and not very accurate. Here, we demonstrate a simple but accurate approach which is closely linked to direct measurements of soil moisture at a network sites across the UK, and to the water balance (precipitation minus drainage and evaporation) measured at a large number of catchments (1212), as well as to remotely-sensed satellite estimates.
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.
Ruksana H. Rimi, Karsten Haustein, Emily J. Barbour, Sarah N. Sparrow, Sihan Li, David C. H. Wallom, and Myles R. Allen
Hydrol. Earth Syst. Sci., 26, 5737–5756, https://doi.org/10.5194/hess-26-5737-2022, https://doi.org/10.5194/hess-26-5737-2022, 2022
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Extreme rainfall events are major concerns in Bangladesh. Heavy downpours can cause flash floods and damage nearly harvestable crops in pre-monsoon season. While in monsoon season, the impacts can range from widespread agricultural loss, huge property damage, to loss of lives and livelihoods. This paper assesses the role of anthropogenic climate change drivers in changing risks of extreme rainfall events during pre-monsoon and monsoon seasons at local sub-regional-scale within Bangladesh.
Brigitta Simon-Gáspár, Gábor Soós, and Angela Anda
Hydrol. Earth Syst. Sci., 26, 4741–4756, https://doi.org/10.5194/hess-26-4741-2022, https://doi.org/10.5194/hess-26-4741-2022, 2022
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Due to climate change, it is extremely important to determine evaporation as accurately as possible. In nature, there are sediments and macrophytes in the open waters; thus, one of the aims was to investigate their effect on evaporation. The second aim of this paper was to estimate daily evaporation by using different models, which, according to results, have high priority in the evaporation prediction. Water management can obtain useful information from the results of the current research.
Haiyang Shi, Geping Luo, Olaf Hellwich, Mingjuan Xie, Chen Zhang, Yu Zhang, Yuangang Wang, Xiuliang Yuan, Xiaofei Ma, Wenqiang Zhang, Alishir Kurban, Philippe De Maeyer, and Tim Van de Voorde
Hydrol. Earth Syst. Sci., 26, 4603–4618, https://doi.org/10.5194/hess-26-4603-2022, https://doi.org/10.5194/hess-26-4603-2022, 2022
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There have been many machine learning simulation studies based on eddy-covariance observations for water flux and evapotranspiration. We performed a meta-analysis of such studies to clarify the impact of different algorithms and predictors, etc., on the reported prediction accuracy. It can, to some extent, guide future global water flux modeling studies and help us better understand the terrestrial ecosystem water cycle.
Yaozhi Jiang, Kun Yang, Hua Yang, Hui Lu, Yingying Chen, Xu Zhou, Jing Sun, Yuan Yang, and Yan Wang
Hydrol. Earth Syst. Sci., 26, 4587–4601, https://doi.org/10.5194/hess-26-4587-2022, https://doi.org/10.5194/hess-26-4587-2022, 2022
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Our study quantified the altitudinal precipitation gradients (PGs) over the Third Pole (TP). Most sub-basins in the TP have positive PGs, and negative PGs are found in the Himalayas, the Hengduan Mountains and the western Kunlun. PGs are positively correlated with wind speed but negatively correlated with relative humidity. In addition, PGs tend to be positive at smaller spatial scales compared to those at larger scales. The findings can assist precipitation interpolation in the data-sparse TP.
Francesca Carletti, Adrien Michel, Francesca Casale, Alice Burri, Daniele Bocchiola, Mathias Bavay, and Michael Lehning
Hydrol. Earth Syst. Sci., 26, 3447–3475, https://doi.org/10.5194/hess-26-3447-2022, https://doi.org/10.5194/hess-26-3447-2022, 2022
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High Alpine catchments are dominated by the melting of seasonal snow cover and glaciers, whose amount and seasonality are expected to be modified by climate change. This paper compares the performances of different types of models in reproducing discharge among two catchments under present conditions and climate change. Despite many advantages, the use of simpler models for climate change applications is controversial as they do not fully represent the physics of the involved processes.
Cited articles
Barnett, T. P., Adam, J. C., and Lettenmaier, D. P.: Potential impacts of a
warming climate on water availability in snow-dominated regions, Nature, 438,
303–309, https://doi.org/10.1038/nature04141, 2005.
Bromwich, D. H., Nicolas, J. P., Monaghan, A. J., Lazzara, M. A., Keller, L. M.,
Weidner, G. A., and Wilson, A. B.: Central West Antarctica among the most
rapidly warming regions on Earth, Nat. Geosci., 6, 139–145, https://doi.org/10.1038/Ngeo1671, 2013.
Chang, J., Li, Y., Wang, Y., and Yuan, M.: Copula-based drought risk assessment
combined with an integrated index in the Wei River Basin, China, J. Hydrol.,
540, 824–834, https://doi.org/10.1016/j.jhydrol.2016.06.064, 2016.
Dai, A. G.: Drought under global warming: a review, Wires Clim. Change, 2,
45–65, https://doi.org/10.1002/wcc.81, 2011.
Gitay, H., Suárez, A., Watson, R. T., and Dokken, D. J.: Climate change
and biodiversity, IPCC Technical Paper V, IPCC, Geneva, 2002.
Hawkins, E., and Sutton, R.: The Potential to Narrow Uncertainty in Regional
Climate Predictions, B. Am. Meteorol. Soc., 90, 1095, https://doi.org/10.1175/2009bams2607.1, 2009.
IPCC: Climate Change 2013 – The Physical Science Basis, Cambridge University
Press, Cambridge, UK and New York, NY, USA, 1535 pp., 2014a.
IPCC: Summary for Policymakers, in: Climate Change 2013 – The Physical Science
Basis, edited by: Stocker, T. F., Qin, D., Plattner, G.-K., Tignor, M., Allen,
S. K., Boschung, J., Nauels, A., Xia, Y., Bex, V., and Midgley, P. M., Cambridge
University Press, Cambridge, UK and New York, NY, USA, 1–30, 2014b.
IPCC: Long-term Climate Change: Projections, Commitments and Irreversibility,
in: Climate Change 2013 – The Physical Science Basis, edited by: Stocker, T.
F., Qin, D., Plattner, G.-K., Tignor, M., Allen, S. K., Boschung, J., Nauels,
A., Xia, Y., Bex, V., and Midgley, P. M., Cambridge University Press, Cambridge,
UK and New York, NY, USA, 1029–1136, 2014c.
James, R., Washington, R., Schleussner, C. F., Rogelj, J., and Conway, D.:
Characterizing half-a-degree difference: a review of methods for identifying
regional climate responses to global warming targets, Wires Clim. Change, 8,
e457, https://doi.org/10.1002/wcc.457, 2017.
Jiao, Y., Lei, H. M., Yang, D. W., Huang, M. Y., Liu, D. F., and Yuan, X.:
Impact of vegetation dynamics on hydrological processes in a semi-arid basin
by using a land surface-hydrology coupled model, J. Hydrol., 551, 116–131,
https://doi.org/10.1016/j.jhydrol.2017.05.060, 2017.
Kormos, P. R., Luce, C. H., Wenger, S. J., and Berghuijs, W. R.: Trends and
sensitivities of low streamflow extremes to discharge timing and magnitude in
Pacific Northwest mountain streams, Water Resour. Res., 52, 4990–5007,
https://doi.org/10.1002/2015wr018125, 2016.
Kraaijenbrink, P. D. A., Bierkens, M. F. P., Lutz, A. F., and Immerzeel, W. W.:
Impact of a global temperature rise of 1.5 ∘C on Asia's glaciers,
Nature, 549, 257–260, https://doi.org/10.1038/nature23878, 2017.
Li, H. B., 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.-Atmos.,
115, D10101, https://doi.org/10.1029/2009jd012882, 2010.
Lorenzo-Lacruz, J., Moran-Tejeda, E., Vicente-Serrano, S. M., and Lopez-Moreno,
J. I.: Streamflow droughts in the Iberian Peninsula between 1945 and 2005:
spatial and temporal patterns, Hydrol. Earth Syst. Sci., 17, 119–134,
https://doi.org/10.5194/hess-17-119-2013, 2013.
Ma, F., Yuan, X., and Ye, A. Z.: Seasonal drought predictability and forecast
skill over China, J. Geophys. Res.-Atmos., 120, 8264–8275, https://doi.org/10.1002/2015jd023185, 2015.
Marx, A., Kumar, R., Thober, S., Rakovec, O., Wanders, N., Zink, M., Wood, E.
F., Pan, M., Sheffield, J., and Samaniego, L.: Climate change alters low flows
in Europe under global warming of 1.5, 2, and 3 ∘C, Hydrol. Earth Syst.
Sci., 22, 1017–1032, https://doi.org/10.5194/hess-22-1017-2018, 2018.
McVicar, T. R., Roderick, M. L., Donohue, R. J., Li, L. T., Van Niel, T. G.,
Thomas, A., Grieser, J., Jhajharia, D., Himri, Y., Mahowald, N. M., Mescherskaya,
A. V., Kruger, A. C., Rehman, S., and Dinpashoh, Y.: Global review and synthesis
of trends in observed terrestrial near-surface wind speeds: Implications for
evaporation, J. Hydrol., 416, 182–205, https://doi.org/10.1016/j.jhydrol.2011.10.024, 2012.
Mo, X. G., Liu, S. X., Chen, D., Lin, Z. H., Guo, R. P., and Wang, K.: Grid-size
effects on estimation of evapotranspiration and gross primary production over
a large Loess Plateau basin, China, Hydrolog. Sci. J., 54, 160–173,
https://doi.org/10.1623/hysj.54.1.160, 2009.
Mohammed, K., Islam, A. S., Islam, G. M. T., Alfieri, L., Bala, S. K., and
Khan, M. J. U.: Extreme flows and water availability of the Brahmaputra River
under 1.5 and 2 ∘C global warming scenarios, Climatic Change, 145,
159–175, https://doi.org/10.1007/s10584-017-2073-2, 2017.
Orlowsky, B. and Seneviratne, S. I.: Elusive drought: uncertainty in observed
trends and short- and long-term CMIP5 projections, Hydrol. Earth Syst. Sci.,
17, 1765–1781, https://doi.org/10.5194/hess-17-1765-2013, 2013.
Parajka, J., Blaschke, A. P., Bloeschl, G., Haslinger, K., Hepp, G., Laaha, G.,
Schoener, W., Trautvetter, H., Viglione, A., and Zessner, M.: Uncertainty
contributions to low-flow projections in Austria, Hydrol. Earth Syst. Sci., 20,
2085–2101, https://doi.org/10.5194/hess-20-2085-2016, 2016.
Perez, G. A. C., van Huijgevoort, M. H. J., Voss, F., and van Lanen, H. A. J.:
On the spatio-temporal analysis of hydrological droughts from global
hydrological models, Hydrol. Earth Syst. Sci., 15, 2963–2978, https://doi.org/10.5194/hess-15-2963-2011, 2011.
Peters, G. P., Andrew, R. M., Boden, T., Canadell, J. G., Ciais, P.,
Le Quéré, C., Marland, G., Raupach, M. R., and Wilson, C.: The
challenge to keep global warming below 2 ∘C, Nat. Clim. Change, 3, 4–6, 2012.
Piao, S. L., Ito, A., Li, S. G., Huang, Y., Ciais, P., Wang, X. H., Peng, S. S.,
Nan, H. J., Zhao, C., Ahlstrom, A., Andres, R. J., Chevallier, F., Fang, J. Y.,
Hartmann, J., Huntingford, C., Jeong, S., Levis, S., Levy, P. E., Li, J. S.,
Lomas, M. R., Mao, J. F., Mayorga, E., Mohammat, A., Muraoka, H., Peng, C. H.,
Peylin, P., Poulter, B., Shen, Z. H., Shi, X., Sitch, S., Tao, S., Tian, H. Q.,
Wu, X. P., Xu, M., Yu, G. R., Viovy, N., Zaehle, S., Zeng, N., and Zhu, B.:
The carbon budget of terrestrial ecosystems in East Asia over the last two decades,
Biogeosciences, 9, 3571–3586, https://doi.org/10.5194/bg-9-3571-2012, 2012.
Prudhomme, C., Giuntoli, I., Robinson, E. L., Clark, D. B., Arnell, N. W.,
Dankers, R., Fekete, B. M., Franssen, W., Gerten, D., Gosling, S. N., Hagemann,
S., Hannah, D. M., Kim, H., Masaki, Y., Satoh, Y., Stacke, T., Wada, Y., and
Wisser, D.: Hydrological droughts in the 21st century, hotspots and uncertainties
from a global multimodel ensemble experiment, P. Natl. Acad. Sci. USA, 111,
3262–3267, https://doi.org/10.1073/pnas.1222473110, 2014.
Rogelj, J., Luderer, G., Pietzcker, R. C., Kriegler, E., Schaeffer, M., Krey,
V., and Riahi, K.: Energy system transformations for limiting end-of-century
warming to below 1.5 ∘C, Nat. Clim. Change, 5, 519–527, https://doi.org/10.1038/nclimate2572, 2015.
Roudier, P., Andersson, J. C. M., Donnelly, C., Feyen, L., Greuell, W., and
Ludwig, F.: Projections of future floods and hydrological droughts in Europe
under +2 ∘C global warming, Climatic Change, 135, 341–355,
https://doi.org/10.1007/s10584-015-1570-4, 2016.
Samaniego, L., Thober, S., Kumar, R., Wanders, N., Rakovec, O., Pan, M., Zink,
M., Sheffield, J., Wood, E., and Marx, A.: Anthropogenic warming exacerbates
European soil moisture droughts, Nat. Clim. Change, 8, 421–426, https://doi.org/10.1038/s41558-018-0138-5, 2018.
Shen, Y., Zhao, P., Pan, Y., and Yu, J. J.: A high spatiotemporal gauge-satellite
merged precipitation analysis over China, J. Geophys. Res.-Atmos., 119, 3063–3075,
https://doi.org/10.1002/2013JD020686, 2014.
Sheng, M. Y., Lei, H. M., Jiao, Y., and Yang, D. W.: Evaluation of the Runoff
and River Routing Schemes in the Community Land Model of the Yellow River Basin,
J. Adv. Model. Earth Syst., 9, 2993–3018, https://doi.org/10.1002/2017ms001026, 2017.
Tang, Y., Tang, Q., Tian, F., Zhang, Z., and Liu, G.: Responses of natural
runoff to recent climatic variations in the Yellow River basin, China, Hydrol.
Earth Syst. Sci., 17, 4471–4480, https://doi.org/10.5194/hess-17-4471-2013, 2013.
Taylor, K. E., Stouffer, R. J., and Meehl, G. A.: An Overview of Cmip5 and
the Experiment Design, B. Am. Meteorol. Soc., 93, 485–498, https://doi.org/10.1175/Bams-D-11-00094.1, 2012.
Thornton, P. K., Ericksen, P. J., Herrero, M., and Challinor, A. J.: Climate
variability and vulnerability to climate change: a review, Global Change Biol.,
20, 3313–3328, https://doi.org/10.1111/gcb.12581, 2014.
Tirado, M. C., Clarke, R., Jaykus, L. A., McQuatters-Gollop, A., and Franke, J.
M.: Climate change and food safety: A review, Food Res. Int., 43, 1745–1765,
https://doi.org/10.1016/j.foodres.2010.07.003, 2010.
Van Loon, A. F. and Laaha, G.: Hydrological drought severity explained by
climate and catchment characteristics, J. Hydrol., 526, 3–14,
https://doi.org/10.1016/j.jhydrol.2014.10.059, 2015.
Van Loon, A. F., Stahl, K., Di Baldassarre, G., Clark, J., Rangecroft, S.,
Wanders, N., Gleeson, T., Van Dijk, A. I. J. M., Tallaksen, L. M., Hannaford,
J., Uijlenhoet, R., Teuling, A. J., Hannah, D. M., Sheffield, J., Svoboda, M.,
Verbeiren, B., Wagener, T., and Van Lanen, H. A. J.: Drought in a human-modified
world: reframing drought definitions, understanding, and analysis approaches,
Hydrol. Earth Syst. Sci., 20, 3631–3650, https://doi.org/10.5194/hess-20-3631-2016, 2016.
Vicente-Serrano, S. M., Lopez-Moreno, J. I., Begueria, S., Lorenzo-Lacruz, J.,
Azorin-Molina, C., and Moran-Tejeda, E.: Accurate Computation of a Streamflow
Drought Index, J. Hydrol. Eng., 17, 318–332, https://doi.org/10.1061/(Asce)He.1943-5584.0000433, 2012.
Vorosmarty, C. J., Green, P., Salisbury, J., and Lammers, R. B.: Global water
resources: Vulnerability from climate change and population growth, Science,
289, 284–288, https://doi.org/10.1126/science.289.5477.284, 2000.
Wanders, N. and Wada, Y.: Human and climate impacts on the 21st century
hydrological drought, J. Hydrol., 526, 208–220, https://doi.org/10.1016/j.jhydrol.2014.10.047, 2015.
Wood, A. W., Maurer, E. P., Kumar, A., and Lettenmaier, D. P.: Long-range
experimental hydrologic forecasting for the eastern United States, J. Geophys.
Res.-Atmos., 107, 4429, https://doi.org/10.1029/2001jd000659, 2002.
Xiao, J. F.: Satellite evidence for significant biophysical consequences of
the “Grain for Green” Program on the Loess Plateau in China, J. Geophys.
Res.-Biogeo., 119, 2261–2275, https://doi.org/10.1002/2014jg002820, 2014.
Xu, J. X.: Variation in annual runoff of the Wudinghe River as influenced by
climate change and human activity, Quatern. Int., 244, 230–237,
https://doi.org/10.1016/j.quaint.2010.09.014, 2011.
Yuan, X. and Wood, E. F.: Multimodel seasonal forecasting of global drought
onset, Geophys. Res. Lett., 40, 4900–4905, https://doi.org/10.1002/grl.50949, 2013.
Yuan, X., Roundy, J. K., Wood, E. F., and Sheffield, J.: Seasonal forecasting
of global hydrologic extremes: system development and evaluation over GEWEX
basins, B. Am. Meteorol. Soc., 96, 1895–1912, https://doi.org/10.1175/BAMS-D-14-00003.1, 2015.
Yuan, X., Zhang, M., Wang, L. Y., and Zhou, T.: Understanding and seasonal
forecasting of hydrological drought in the Anthropocene, Hydrol. Earth Syst.
Sci., 21, 5477–5492, https://doi.org/10.5194/hess-21-5477-2017, 2017.
Yuan, X., Jiao, Y., Yang, D., and Lei, H.: Reconciling the attribution of
changes in streamflow extremes from a hydroclimate perspective, Water Resour.
Res., 54, 3886–3895, https://doi.org/10.1029/2018WR022714, 2018.
Zhang, X. P., Zhang, L., Zhao, J., Rustomji, P., and Hairsine, P.: Responses
of streamflow to changes in climate and land use/cover in the Loess Plateau,
China, Water Resour. Res., 44, W00A07, https://doi.org/10.1029/2007wr006711, 2008.
Zhao, G. J., Tian, P., Mu, X. M., Jiao, J. Y., Wang, F., and Gao, P.:
Quantifying the impact of climate variability and human activities on streamflow
in the middle reaches of the Yellow River basin, China, J. Hydrol., 519,
387–398, https://doi.org/10.1016/j.jhydrol.2014.07.014, 2014.
Zheng, H. X., Zhang, L., Zhu, R. R., Liu, C. M., Sato, Y., and Fukushima, Y.:
Responses of streamflow to climate and land surface change in the headwaters of
the Yellow River Basin, Water Resour. Res., 45, W00A19, https://doi.org/10.1029/2007wr006665, 2009.
Zhu, Z. C., Piao, S. L., Myneni, R. B., Huang, M. T., Zeng, Z. Z., Canadell,
J. G., Ciais, P., Sitch, S., Friedlingstein, P., Arneth, A., Cao, C. X., Cheng,
L., Kato, E., Koven, C., Li, Y., Lian, X., Liu, Y. W., Liu, R. G., Mao, J. F.,
Pan, Y. Z., Peng, S. S., Penuelas, J., Poulter, B., Pugh, T. A. M., Stocker, B.
D., Viovy, N., Wang, X. H., Wang, Y. P., Xiao, Z. Q., Yang, H., Zaehle, S., and
Zeng, N.: Greening of the Earth and its drivers, Nat. Clim. Change, 6, 791–795,
https://doi.org/10.1038/nclimate3004, 2016.
Short summary
This paper projects future changes in drought characteristics under different warming levels over a semiarid watershed based on hydroclimate simulations. Despite large uncertainties from climate models, we find that less frequent but more severe hydrological drought events would occur in the near future, suggesting that different aspects of hydrological droughts should be carefully investigated when assessing the impact of global warming.
This paper projects future changes in drought characteristics under different warming levels...
