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. 2024 Mar 8;15:2135. doi: 10.1038/s41467-024-45159-5

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© Battelle Memorial Institute, Chen, Rasch, Fu, Kravitz, Cassano, Maslowski 2024

Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/.

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Fig. 4 — a LENS2 intermember regression of the sea surface temperature (SST) trends onto the Arctic spatial mean AR frequency trends. The regression pattern is obtained by regressing the SST trends at each grid point across all 50 members onto the spatially averaged Arctic AR frequency trends across all 50 members. Stippled areas indicate that the regression is significant at the 0.05 level based on the Student’s t-test. b shows scatterplots between the Arctic mean AR frequency trends and the IPO trends, where the red lines show the regression of data points for 50 members of LENS2. c same as in (b), but for the AR trends and AMO trends.