AI Improves the Accuracy, Reliability, and Economic Value of Continental‐Scale Flood Predictions
Vinh Ngoc Tran(University of Michigan), V. Y. Ivanov(University of Michigan), Manh‐Hung Le(Science Applications International Corporation (United States)), Daniel B. Wright(University of Wisconsin–Madison), Donghui Xu(Pacific Northwest National Laboratory), Hoang Tran(Pacific Northwest National Laboratory), Jongho Kim(University of Ulsan), Taeho Kim(University of Michigan), Trung Duc Tran(University of Ulsan), P. J. Restrepo, Thanh‐Nhan‐Duc Tran(University of Virginia)
Cited by 9
Related Papers
Investigating the impacts of climate change on hydroclimatic extremes in the Tar-Pamlico River basin, North Carolina
|Journal of Environmental Management|2024|122
Enhancing human resilience against climate change: Assessment of hydroclimatic extremes and sea level rise impacts on the Eastern Shore of Virginia, United States
|The Science of The Total Environment|2024|121
Response of streamflow and sediment variability to cascade dam development and climate change in the Sai Gon Dong Nai River basin
|Climate Dynamics|2024|99
The role of reservoirs under the impacts of climate change on the Srepok River basin, Central Highlands of Vietnam
|Frontiers in Environmental Science|2023|87