Data analytics can predict global warming trends, heat waves
New research is revealing data that can provide early warning signals of potentially catastrophic weather events and climate trends, particularly severe heat waves and global warming. The methods to detect and track the warning signs to enable such predictive capabilities are the work of Zhihua Wang, a Fulton Schools associate professor whose expertise includes climate modeling and land-atmospheric interactions, and Chenghao Wang, a former ASU research scientist now at the Department of Earth System Science at Stanford University. The researchers say the methods are applicable for predicting extreme weather events within the next few days or weeks and also forecasting meteorological and climate trends over coming decades or even longer. The article also appears in the Eurasia Review, TDnews and Phys.org.
See Also: Climate change: Scientists look at 20th century data, heat extremes for early-warning signals, Down To Earth, July 16