Predicting Great Lakes Meteotsunamis with Better Modeling
Though some might consider the Great Lakes an unlikely place for tsunamis to occur, meteorological events can cause incredibly rapid lake level rises known as meteotsunamis. Until now, Great Lakes coastal forecasting models have not been fine enough to accurately predict these events.
Pengfei Xue (CEGE/GLRC), along with collaborators at Colorado School of Mines, the National Oceanic and Atmospheric Administration and Argonne National Laboratory, has developed a higher-resolution model that refines the model grid from 500 meters down to just 10 meters.
Read the full story on mtu.edu/news.