Results 231 to 240 of about 38,991 (302)
Abstract Accurate and computationally efficient flood inundation prediction is critical for effective flood risk management. While high‐fidelity hydrodynamic models provide detailed representations of flood processes, their computational demands limit real‐time flood forecasting or ensemble applications.
Wen Wang, Quan J. Wang, Rory Nathan
wiley +1 more source
Abstract Evapotranspiration (ET) plays a critical role in water and energy budgets over the land surface. Eddy Covariance (EC) is the most widely used technique to measure ET at ecosystem scale, providing insights into land–atmosphere interactions and serving as a benchmark for Earth System Models (ESMs).
Pushpendra Raghav, Mukesh Kumar
wiley +1 more source
Climate-driven flood hazard assessment in data-scarce mountainous basins using a GIS-based machine learning and hydrodynamic modelling under CMIP6 SSP scenarios. [PDF]
Khan S +7 more
europepmc +1 more source
How Will Higher Interannual Precipitation Variability Intensify Water Stress Under a Drying Climate?
Abstract Climate change is expected to alter both the mean and variability of precipitation. Hydrological consequences of higher precipitation variability remain less understood than that induced by changes in precipitation mean. This study evaluates the combined effects of changes in annual precipitation mean and variability on runoff and water supply
Hongxing Zheng +4 more
wiley +1 more source
Warming climate and water withdrawals threaten river flow connectivity in China. [PDF]
Gou J +11 more
europepmc +1 more source
Hybrid physical-statistical framework for seasonal streamflow forecasting in the Upper Feather River Basin, California. [PDF]
Ozcan Z +7 more
europepmc +1 more source
Abstract Information on river velocities enhances understanding flood hazards, evaluating habitat conditions, and predicting the transport of floating materials. In this follow‐up study, we used data from two new sites, one with a more complex morphology and the other with a lower suspended sediment concentration, to provide further evidence that ...
Carl J. Legleiter +3 more
wiley +1 more source
High-resolution gridded streamflow data for Ganges-Brahmaputra-Meghna River Basins in Bangladesh (1951-2023). [PDF]
Kim BH, Hossain S, Kam J.
europepmc +1 more source
Abstract Bayesian Causal Networks (BCNs) are adapted to investigate causal factors of hydroclimate variability in the Brahmaputra River Basin (BRB) during the seasonal and sub‐seasonal periods. This is the longest monsoonal river system in India, prone to frequent severe flooding.
Naman Kishan Rastogi +2 more
wiley +1 more source
Uncovering Systemic Dynamics through an Integrated WEFE Nexus Index across 21st Century Futures. [PDF]
Özcan Z, Alp E.
europepmc +1 more source

