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This AI can read rivers almost anywhere in America, and utilities are paying close attention
Hydrology experts at the U.S. Department of Energy's (DOE's) Oak Ridge National Laboratory (ORNL) used artificial ...
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How watershed models shape our water future
From deep subsurface structures to advanced ecohydrological models, scientists are uncovering why watersheds react so differently to climate swings. New research shows that underground permeability ...
Recent advances in hydrological science highlight the urgent need for robust and adaptive modeling approaches to support effective disaster management in ...
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AI is reshaping how we predict floods
From predicting floods in unmeasured wetlands to democratizing NASA’s massive hydrology datasets, AI is transforming how we understand and manage water. New models blend physics with deep learning to ...
Recently, the Mountain Hydrology Group released its fifth near-real-time report on snow-water equivalent (SWE) in the Western US in 2025, and was covered in an INSTAAR press release. In essence, the ...
Invasive plants in coastal wetlands of the Great Lakes are degrading wetland habitat, decreasing biodiversity, and reducing ecosystem services. Our objective is to refine and integrate process-based ...
Suggested Citation: "Appendix B: Use of Climate and Hydrologic Models for Projecting Future Water Resources." National Academies of Sciences, Engineering, and Medicine. 2018. Review of the New York ...
Importance of snow water storage in mountains is widely recognized for summer-time irrigation and food production in the downstream states. The process-based modeling of hydrologic systems including ...
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