The study, published July 9 in the journal Proceedings of the National Academy of Sciences, examined decades' worth of river level and tidal data from gauges installed throughout the eastern United States. The researchers then combined that data with information on water density, salinity, and the Earth's rotation, creating a mathematical model that describes the link between river discharge and sea level on an annual basis.
"The equation we derived lets us predict how much sea level will rise based on river flow, and then compare that prediction to actual measurements and observations," says Chris Piecuch, a physical oceanographer at WHOI and lead author on the paper.
"Based on our model and the observations, we're finding that variations in the amount of water that comes out of a river annually can raise or lower coastal mean sea level by several centimeters."
Notably, the study found the majority of that sea level change occurs only one side of a river's mouth. Since freshwater is naturally less dense than saltwater, river outflow floats along the ocean's surface, where the Earth's rotation forces it to turn sharply along the coast. In the northern hemisphere, that water follows the right hand side of the river; in the southern hemisphere, the left hand side. In both cases, the freshwater forms a current that pushes water up against the shoreline, raising localized sea levels in the process.
At the moment, says Piecuch, the model is still just a proof-of-concept, but could already help calculate the effects of sea level rise on certain coastal regions. That data is missing from current satellite measurements, since the resolution of existing sensors isn't fine enough to get accurate readings of ocean height within a few miles of the coast.
"When you think of societal impact, you want to know what's happening at the coast," Piecuch says.
"In low lying areas like Bangladesh, we don't yet know how sea level and river outflow combine. But if a major storm comes through, even a small rise in the background mean sea level could have a huge impact on flooding."
Right now, the WHOI model has only been used to calculate average sea level on an annual basis--but Piecuch and his colleagues are working to change that. Ultimately, they hope to consider more detailed and granular data, so they can understand how individual events, like a hurricane or massive rainfall, might affect ocean levels.
"Many processes can affect sea level, making predictions of regional sea level change a challenging endeavor," says Larry Peterson, a program director in the National Science Foundation (NSF)'s Division of Ocean Sciences, which funded the research.
"These scientists show that discharge from rivers can play a significant but overlooked role in the interpretation of sea level from downstream tide gauges. The work has important implications for climate models, remote sensing, and the projection of coastal flood risks."
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