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A new study has made important strides in understanding a key teleconnection pattern, namely, the circumglobal teleconnection (CGT) pattern, and emphasizes the role of the Indian summer monsoon in improving the representation of CGT in climate models.

Climate models are essential tools used by scientists to predict future climate conditions, but how well models can simulate CGT is still an unsolved problem. This new study, led by Yu Hanzhao, a Ph.D. student at the Institute of Atmospheric Physics (IAP) of the Chinese Academy of Sciences, offers fresh insights into how models can be improved.

Results of the study were recently published in the Journal of Climate.

Previous studies paid less attention to how well coupled climate models can represent the CGT pattern. "We found that models which accurately capture features of Indian summer monsoon rainfall tend to perform better in simulating CGT," said Yu.

CGT pattern is a type of atmospheric wave activity that can affect climate conditions in mid-latitude regions across the Northern Hemisphere. Better simulations of this pattern could help predict extreme weather events like the 2022 heat wave in China's Yangtze River Valley and 2018 heat wave over Europe.

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