Growing up in North Carolina, Sam Goldberg was constantly outdoors on family hikes, summer camping trips, and canoe rides through winding rivers. As he paddled through deep valleys or fidgeted with his camping gear, Goldberg always found himself asking the same question: how was this made?
For forty years, climate scientists have been trying to develop a computational model that accurately predicts the El Niño–Southern Oscillation (ENSO) phenomenon. But that work has stagnated in recent years with only minor, gradual improvements to their predictions.
A new study has identified connections between oscillations in the Gulf Stream and long-term rainfall expectations in the Southeastern U.S.—a finding made possible by the supercomputing resources at the University of Miami Institute for Data Science and Computing (IDSC).
