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Article
Open AccessLarge anomalies in future extreme precipitation sensitivity driven by atmospheric dynamics
Increasing atmospheric moisture content is expected to intensify precipitation extremes under climate warming. However, extreme precipitation sensitivity (EPS) to temperature is complicated by the presence of ...
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Article
Future socio-ecosystem productivity threatened by compound drought–heatwave events
Compound drought–heatwave (CDHW) events are one of the worst climatic stressors for global sustainable development. However, the physical mechanisms behind CDHWs and their impacts on socio-ecosystem productivi...
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Article
Deep learning–based neural networks for day-ahead power load probability density forecasting
Energy efficiency is crucial to greenhouse gas (GHG) emission pathways reported by the Intergovernmental Panel on Climate Change. Electrical overload frequently occurs and causes unwanted outages in distributi...
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Article
Thermodynamic driving mechanisms for the formation of global precipitation extremes and ecohydrological effects
Global warming has altered the thermodynamic and dynamic environments of climate systems, affecting the biogeochemical processes between the geosphere and atmosphere, which has significant impacts on precipita...
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Article
Nonstationary Regional Flood Frequency Analysis Based on the Bayesian Method
Most researches on regional flood frequency analysis (RFFA) have proved that the incorporation of hydrologic information (e.g., catchment attributes and flood records) from different sites in a region can prov...
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Article
A Triple-stage Operation Method for Deriving Operation Rules for Cascade Reservoirs during Catastrophic Flood Events
Alleviating flood stress and reducing flood disaster losses are vital issues when operating flood control systems. To address catastrophic floods, this study establishes an optimal flood control operation mode...
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Article
Quantifying both climate and land use/cover changes on runoff variation in Han River basin, China
Climate change and land use/cover change (LUCC) can both exert great impacts on the generation processes of precipitation and runoff. However, previous studies usually neglected considering the contribution co...
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Article
Projection of droughts and their socioeconomic exposures based on terrestrial water storage anomaly over China
Global warming has altered the thermodynamic and dynamic environments of the climate system, thus affecting the energy budget and water cycle process of the land-atmosphere system. Under changes in key hydrolo...
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Article
High effectiveness of GRACE data in daily-scale flood modeling: case study in the **jiang River Basin, China
The modeling and forecasting of short-duration and high-intensity floods are of importance for flood defenses and adaptations. One of the conventional ways to model or forecast such events is to utilize hydrol...
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Article
Open AccessMulti-objective optimization of water resources allocation in Han River basin (China) integrating efficiency, equity and sustainability
The hydrological cycle, affected by climate change and rapid urbanization in recent decades, has been altered to some extent and further poses great challenges to three key factors of water resources allocatio...
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Article
Comparative Study of Flood Coincidence Risk Estimation Methods in the Mainstream and its Tributaries
The coincidence of floods in the mainstream and its tributaries may lead to a large flooding in the downstream confluence area, and the flood coincidence risk analysis is very important for flood prevention an...
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Article
Open AccessAdaptive optimal allocation of water resources response to future water availability and water demand in the Han River basin, China
Global warming and anthropogenic changes can result in the heterogeneity of water availability in the spatiotemporal scale, which will further affect the allocation of water resources. A lot of researches have...
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Article
Probabilistic forecasting based on ensemble forecasts and EMOS method for TGR inflow
Probabilistic inflow forecasts can quantify the uncertainty involved in the forecasting process and provide useful risk information for reservoir management. This study proposed a probabilistic inflow forecast...
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Quantitative assessment of adaptive measures on optimal water resources allocation by using reliability, resilience, vulnerability indicators
Water resources allocation is facing great challenge, since hydrological series have shown non-stationarity with high uncertainty due to climate change and human activities. Adaptive measures are suggested to ...
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Article
Heuristic Input Variable Selection in Multi-Objective Reservoir Operation
Deriving operating rules for multi-objective cascade reservoir systems is an important challenge in water resources management. To address, this study combines a radial basis function network with an evolution...
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Article
Optimizing Operation Rules of Cascade Reservoirs for Adapting Climate Change
Climate change leads to great impact on hydrological cycle and consequently affects water resources management. Historical strategies are no longer applicable under a changing environment. Therefore, adaptive ...
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Article
Open AccessReply to ‘Increases in temperature do not translate to increased flooding’
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Article
A new two-stage multivariate quantile map** method for bias correcting climate model outputs
Bias correction is an essential technique to correct climate model outputs for local or site-specific climate change impact studies. Most commonly used bias correction methods operate on a single variable, whi...
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Article
A Fair Approach for Multi-Objective Water Resources Allocation
Due to the effect of climate change, rapid population growth and widespread water pollution, fresh water becomes an increasingly scarce natural resource. Optimal allocation of water resources is one of the mos...
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Article
Bias correcting climate model multi-member ensembles to assess climate change impacts on hydrology
Bias correction is usually applied to climate model outputs before they are used as inputs to environmental models for impact studies. Every climate model is post-processed independently of others to account f...
