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Development of Multi-Variable Regression Models for Hindcasting Arctic Summer Sea Ice Extent Using Six Teleconnection Patterns
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2022
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[PDF-5.31 MB]
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Description:This report investigates the relationships between Arctic summer ice coverage in six different regions of the Arctic and six teleconnection patterns. This study is built upon previous studies that show that both interannual and decadal variability in Arctic summer sea ice is associated with atmospheric teleconnection patterns (Cai et al. 2021a, b) such as the Arctic Oscillation (AO) and Dipole Anomaly (DA), El Nino Southern Oscillation (ENSO) and North Atlantic Oscillation (NAO) for interannual variation, and Pacific Decadal Oscillation (PDO) and Atlantic Multidecadal Oscillation (AMO) for decadal and multidecadal variations. The methods used are exactly same as Wang et al. (2018), who developed multi-variable regression models using four teleconnection pattern indices (NAO, ENSO, AMO, and PDO) to hindcast Great Lakes annual maximum ice cover, which has been used for projection of seasonal ice cover in the Great Lakes since 2010.
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Rights Information:CC0 Public Domain
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Compliance:Submitted
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