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Publication Date
30 March 2015

Cold Snaps Linger Despite Climate Change

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Science

Keep a winter coat and mittens handy. A new climate analysis from scientists at Pacific Northwest National Laboratory and University of Reading (UK) found that under climate warming, cold air outbreaks, or CAOs, are projected to continue over North America but less frequently. In a geographic swath stretching from Alaska and southwestern Canada to the northwestern and mid-western United States, the top five coldest historical events may still happen. Indeed, as humans, ecosystems, and societal infrastructures adapt to an average warmer climate, these findings show continued future challenges in coping with extreme cold events.

“The research isolated the changes of future cold air outbreaks to changes in the mean, the variance, and the skewness of daily surface air temperature” said Dr. Yang Gao, postdoctoral researcher and atmospheric scientist at PNNL. “Our analysis identified processes that will regulate future CAOs and climate factors that conspire to produce a distinct spatial pattern of CAO changes in North America.”

Approach

The PNNL-led research team analyzed model outputs from 26 global climate models used in the Intergovernmental Panel on Climate Change (IPCC) Fifth Assessment Report (AR5). Comparing the daily surface air temperature simulated for the present and future, they quantified the changes in CAO duration over North America. To determine what processes modulate CAO changes, they performed statistical analyses to isolate the contributions of changes from the mean, variance, and skewness of daily surface temperature to changes in CAO duration in the future. They compared the distinct spatial patterns of these changes to changes in large-scale circulation patterns such as atmospheric blocking and the equator-to-pole temperature gradients, as well as the spatial distribution of the 0°C isotherm, and sea ice and snow cover to identify factors that influence CAO events.

The team found that CAO changes in the future can be explained largely by the mean warming that reduced the chance of very cold temperatures. But, reduced variability of surface temperature due to amplified warming in the Arctic contributes as much as a 20% reduction of CAO from Alaska to the northeastern United States and eastern Canada. The changes of CAOs are also affected by changes in the skewness of surface air temperature, which are modulated by the frequency of atmospheric blocking and the melting of snow cover and sea ice as the climate warms.

These findings provide important insights on processes that influence cold extremes, with implications for human health, agriculture, energy, and other sectors of the society to climate extremes in the future.

Impact

Even as the climate warms, cold air outbreaks may continue to impact certain regions in Earth’s mid-to-high latitudes and the Arctic.

“Understanding which atmospheric and surface processes modulate the CAO changes can provide valuable insights on how, in a changing climate, those processes interact to influence climate extremes,” said Dr. Ruby Leung, PNNL Laboratory Fellow, atmospheric scientist and corresponding author on the study. “This will then help us improve climate models to more faithfully capture those processes and improve our predictions.”

Cold air outbreaks may be more deadly than extreme heat spells. Certainly, they cause large economic losses through damages to crops, energy and other life-sustaining infrastructure. Looking at a large suite of climate simulations from multiple models allowed scientists in this study to identify common climate features that project cold air outbreaks in the future.

Point of Contact
Yang Gao
Institution(s)
Pacific Northwest National Laboratory (PNNL)
Funding Program Area(s)
Acknowledgements

This study was supported by the U.S. Department of Energy Office of Science Biological and Environmental Research (BER) as part of the Regional and Global Climate Modeling program. We are grateful to two anonymous reviewers for their careful review and insightful comments that helped improve our analysis. We also thank Dr. Tim Woollings from University of Oxford for the stimulating discussions that help improve our understanding of the changes of standard deviation and skewness of the air temperature under a warming climate. The regional climate simulations were conducted with partial support by the Platform for Regional Integrated Modeling and Analysis (PRIMA) Initiative at Pacific Northwest National Laboratory (PNNL) and used computing resources on the Evergreen computer cluster at the Joint Global Change Research Institute (JGCRI) supported by the DOE Integrated Assessment Research Program. PNNL is operated for DOE by Battelle Memorial Institute under contract DE-AC05-76RL01830.

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