News outlets have long cited extreme weather events as examples of how greenhouse gas emissions affect the climate. In response, experts typically would emphasize the distinction between weather and climate, warning that any given hurricane or heat wave cannot be attributed to longterm changes in average temperatures. But it turns out that climatologists and meteorologists sometimes can establish such causal relationships.
“First of all, it’s important to highlight that every climate extreme weather event has multiple causes,” Friederike Otto, an Oxford University climate researcher associated with the World Weather Attribution (WWA) collaboration, told MIT Technology Review in 2020. “So the question of the role of climate change will never be a yes or no question. It will always be, ‘Did climate change make it more likely or less likely, or did climate change not play a role?’”
For the last decade or so, climate researchers like Otto have been working on statistical techniques aimed at estimating the extent to which a warmer world is making weather events more extreme and/or increasing the frequency of such events. One technique is to run climate models using the current levels of atmospheric greenhouse gases to see if they reproduce the relevant observed weather trends for a region. If the models accurately track the actual record of weather events, the researchers next run them assuming pre-industrial greenhouse gas concentrations. The differences in, say, the maximum temperature during a heat wave, the amount of rainfall dumped by a hurricane, or the timing and extent of wildfires provide an estimate of how much man-made warming may contribute to specific extreme events.
This story is from the April 2022 edition of Reason magazine.
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This story is from the April 2022 edition of Reason magazine.
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