New study finds temperature variability will increase in some regions (shown in red)as Earth warms, even as global variability declines. (Credit: Duke U.; Nature Climate Change)

DURHAM, N.C. -- Many tropical or subtropical regions could see sharp increases in natural temperature variability as Earth鈥檚 climate warms over coming decades, a new 91社区福利-led study suggests.

These local changes could occur even though Earth鈥檚 global mean surface air temperature (GMST) is likely to become less variable, the study shows.

鈥淭his new finding runs counter to the popular notion that as the climate warms, temperature variability will increase and weather will get more volatile everywhere,鈥 said Patrick T. Brown, a postdoctoral research scientist at the Carnegie Institution for Science, who led the study while he was a doctoral student at Duke鈥檚 Nicholas School of the Environment.

鈥淥ur research suggests a different scenario: Global unforced temperature variability will actually decrease, not increase, as Earth warms, but local decade-to-decade variability could increase by as much as 50 percent in some places,鈥 Brown said.

Unforced, or natural, temperature variability can be caused by interactions between the atmosphere, ocean currents and sea ice. These fluctuations can either mask or exacerbate human-caused climate change for a decade or two at a time, he noted.

Because billions of people live in tropical or subtropical regions that may experience increased temperature variability, and because these regions are critical for biodiversity, food production and climate regulation, 鈥渋t鈥檚 vital that we understand the magnitude of unforced decade-to-decade variability that could occur there, and the mechanisms that drive it,鈥 he said.

Brown and his colleagues published their peer-reviewed paper Sept. 4 in the journal Nature Climate Change.

To conduct the study, they first inspected a climate model run under pre-industrial conditions. The model, which was developed at NOAA鈥檚 Geophysical Fluid Dynamics Laboratory, simulates climate under perpetual atmospheric conditions similar to those experienced on Earth before the widespread emission of industrial greenhouse gasses. This allows scientists to get a clearer picture of the forces that cause variability in the absence of human drivers.

鈥淭o isolate unforced variability, we looked at the model鈥檚 output without changing any of its environment parameters, such as atmospheric carbon dioxide levels, solar radiation or volcanic activity, over a theoretical 900-year timespan,鈥 Brown explained.

On the second run, the scientists doubled the model鈥檚 atmospheric carbon dioxide levels to simulate projected future conditions.

鈥淚n the doubled-CO2 run, we saw a 43 percent decrease in global temperature variability, but with local increases of up to 50 percent in many land regions of the tropics and subtropics,鈥 Brown said.

Consistent results were obtained using similar experiments on other climate models.

What鈥檚 happening, Brown said, is as Earth warms because of increasing CO2, there is less ice at high latitudes, which means less albedo 鈥 the less reflection of solar energy back into space. 

 

鈥淎lbedo feedback is a large contributor to decade-to-decade unforced variability. When Earth鈥檚 atmosphere naturally gets a bit warmer, more of the reflective sea ice at high latitudes melts. This exposes more water, which absorbs solar energy and amplifies the initial warming, enhancing the GMST variability,鈥 he explained. 鈥淏ut we found that when you double the CO2 levels in a climate model to mimic future conditions, the sea ice melts so much that this albedo feedback can no longer play a large role in amplifying natural temperature variability.鈥

The end result is less variability globally 鈥 especially in the high latitudes 鈥 but more variability in the tropics.

鈥淭his suggests that the pre-industrial control runs we have been using are not ideal for studying what unforced variability will look like in the future,鈥 said Wenhong Li, associate professor of climate at Duke鈥檚 Nicholas School. 鈥淏ut it might inspire more modeling groups to run models under perpetual conditions that reflect what we expect in the future.鈥 

Yi Ming of NOAA鈥檚 Geophysical Fluid Dynamics Laboratory and Spencer A. Hill of UCLA and the California Institute of Technology co-authored the new paper with Brown and Li.

Funding for the research came from the National Institutes of Health, the U.S. Department of Defense the National Science Foundation. 

CITATION: 鈥淐hange in the Magnitude and Mechanisms of Global Temperature Variability with Warming,鈥 Patrick T. Brown, Yi Ming, Wenhong Li and Spencer A. Hall. Nature Climate Change, Sept. 4, 2017, . DOI: 10.1038/nclimate3381

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