Results 121 to 130 of about 77,835 (200)
Predictability of seasonal runoff in the Mississippi River basin [PDF]
Recent advances in climate prediction and remote sensing offer the potential to improve long-lead streamflow forecasts and to provide better land surface state estimates at the time of forecast.
Lettenmaier, Dennis P., Maurer, Edwin P.
core +1 more source
Predicting Lake Surface Water Temperature With Transfer‐Based Physics‐Informed Deep Learning
Abstract Ongoing climate change has intensified lake surface warming. Enhanced accuracy in lake temperature modeling can better assess the risk of ecosystems being harmed by thermal tipping points, informing more sustainable water management. Recent progress in physics‐informed deep learning (PIDL) has opened new avenues for improving such modeling ...
Muyuan Liu +9 more
wiley +1 more source
Streamflow droughts are receiving increased attention worldwide due to their impact on the environment and economy. One region of concern is the Midwestern United States, whose agricultural productivity depends on subsurface pipes known as tile drains to
Seth R Adelsperger +6 more
doaj +1 more source
Toward improved hydrologic prediction with reduced uncertainty using sequential multi-model combination [PDF]
The contemporary usage of hydrologic models has been to rely on a single model to perform the simulation and predictions. Despite the tremendous progress, efforts and investment put into developing more hydrologic models, there is no convincing claim ...
Hsu, K, Moradkhani, H, Sorooshian, S
core
A Graph‐Based Deep Learning Approach for Daily Flash Flood Susceptibility Modeling in China
Abstract Flash floods are sudden flood events triggered by intense rainfall, and often exacerbated by mountainous terrain that accelerates surface runoff. To support disaster mitigation and management, deep learning (DL) models have been widely applied to flash flood susceptibility (FFS) modeling. However, traditional deep learning (DL) models overlook
Jun Liu +3 more
wiley +1 more source
Abstract Hydrologic forecasts have demonstrated considerable benefits for flood risk reduction and water supply operations in specific basins. However, it remains unclear how these benefits depend on key parameters of the reservoir infrastructure and forecasts.
Alexander B. Chen +4 more
wiley +1 more source
Evaluating Drought Vulnerability of Small Community Surface Water Supply Systems in the Midwest [PDF]
This report presents approaches and data availability for evaluating the drought vulnerability of small community water supply systems in the Midwest that obtain water from surface water bodies, such as rivers, streams, natural lakes, and man-made ...
Hecht, Jory S., Knapp, H. Vernon
core
Abstract Current practices in hydrologic design are based on the exceedance probability of rainfall intensities, without considering the meteorological conditions that generate them. Atmospheric drivers, such as weather fronts, control the spatiotemporal characteristics of storm events, with implications for urban stormwater infrastructure design and ...
M. J. Burns, K. D. Good, O. Wani
wiley +1 more source
Sediment management for Southern California mountains, coastal plains and shoreline [PDF]
The Environmental Quality Laboratory at Caltech and the Shore Processes Laboratory at Scripps Institution of Oceanography have jointly undertaken a study of regional sediment balance problems in coastal southern California (see map in Figure 1).
Brown, William M., III +2 more
core +1 more source
Abstract Modeling streamflow in low‐lying, flat, and pothole‐dominated prairie or Arctic regions is challenging due to variable non‐contributing areas that influence how runoff translates to streamflow. Several modeling approaches have been developed to represent these dynamics, but many (a) lump depressions and permit spill only after a fixed capacity
Mohamed Moghairib +3 more
wiley +1 more source

