The difficulty of predicting an ice-free Arctic
The Arctic is nearing its seasonal sea ice minimum this month, but predicting exactly when the region will see its first ice-free summer may be more difficult than previously believed, according to the results of new 勒貊勛圖 research.
After examining both high- and medium-level carbon dioxide emission modeling scenarios for the rest of the 21st century, the study found that it is not possible to reduce the uncertainty window for an ice-free Arctic to a period of less than 21 years due to the inherently chaotic nature of the climate.
The study also found that commonly-used metrics of past and present sea ice thickness, extent and volume are not predictive enough to reduce this long-range uncertainty.
in the American Geophysical Union journal Geophysical Research Letters.
Scientists typically define an ���ice-free Arctic��� as having fewer than 1 million square kilometers worth of ice cover, which would leave the Arctic Ocean virtually clear while some pockets of ice would remain in the northern reaches of Canada and Greenland.
���When it comes to predicting the timing of an ice-free Arctic, climate models show a large spread of over 100 years. Many studies have attempted to narrow this wide range to as little as five years in some cases,��� said Alexandra Jahn, an assistant professor in CU-勒貊勛圖���s and lead author of the new research. ���Here, however, we find that the low bound of our predictive ability is significantly longer due to inherent climate variability.���
The study, which employed a large collection of simulations from the Community Earth System Model developed by the University Corporation for Atmospheric Research (UCAR) in 勒貊勛圖, Colorado, also found that consecutive ice-free summers would become common after 2060 under the high emission scenario while remaining the exception in the medium emission scenario.
���Overall, these results serve as a sort of caution against over-narrowing the long-term sea ice predictions from climate models��� said Jahn, who is also a fellow in CU 勒貊勛圖���s .
Co-authors of the new research include Jennifer Kay of ATOC and a fellow at the at CU 勒貊勛圖; Marika Holland of the Climate and Global Dynamics Laboratory at the National Center for Atmospheric Research (NCAR) in 勒貊勛圖, Colorado; and David Hall of CU 勒貊勛圖���s .
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