A novel method to shed light on heat waves
November 25, 2024
November 25, 2024
WASHINGTON, Nov. 25 (TNSres) -- The National Science Foundation issued the following news release:
A U.S. National Science Foundation-supported researcher developed a machine learning model that uses data stored in paleoclimate archives, such as tree rings, to investigate how shifts in climate impact atmospheric blocking, a weather phenomenon linked to heat waves, cold spells and unusual rainfall events. Christina Karamperidou, an atmospheric scientist at the University of Hawaii Ma . . .
A U.S. National Science Foundation-supported researcher developed a machine learning model that uses data stored in paleoclimate archives, such as tree rings, to investigate how shifts in climate impact atmospheric blocking, a weather phenomenon linked to heat waves, cold spells and unusual rainfall events. Christina Karamperidou, an atmospheric scientist at the University of Hawaii Ma . . .