3 days of heat variances, compared to 30-year record, can predict an extreme weather event
New research from Arizona State University and Stanford University is augmenting meteorological studies that predict global warming trends and heat waves, adding human-originated factors into the equation.
The process quantifies the changing statistics of temperature evolution before global warming in the early 20th century and recent heat wave events to serve as the early warning signals for potential catastrophic changes. In addition, the study illustrates the contrast between urban and rural early warning signals for extreme heat waves.
Tracking the pre-event signatures, or tipping points, of the increasing frequency and intensity of heat extremes will support the development of countermeasures to restore climate system resilience.
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