Applying World Heritage status to highly valuable environmental records would spotlight the vital insights they provide into how Earth is changing and would ensure their longevity and accessibility.
Multiyear flood predictions are possible for watersheds in which the magnitude and frequency of flooding can be related to an atmospheric pressure see-saw in the North Atlantic region.
Efficiently tracking nature’s engineers—beavers—at the scale of entire watersheds over time is now possible, thanks to a new artificial intelligence–trained model called EEAGER.
Extrapolation or not? Big data may help deep learning to go places where it has not been before by transferring learned hydrologic relationships.
Dam-building has decreased the amount of sediment transported by rivers, while land use changes have increased the amount.
Watersheds have unique patterns of silicon export due to differences in subsurface water routing and biogeochemical reactions.
Satellite data combined with in-situ observations on terrestrial water storage change and human water consumption provides a more accurate picture of runoff dynamics at sub-basin scale.
Researchers have developed a new analysis based on a river’s catchment area as opposed its length.
Living in Geologic Time: The making, breaking, and backpacking of North America’s Continental Divide.
Digital hydrographic maps have transformed global environmental studies and resource management. A major database update will provide even clearer and more complete views of Earth’s waterways.