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The Cryosphere, 11, 3023-3034, 2017
https://doi.org/10.5194/tc-11-3023-2017
© Author(s) 2017. This work is distributed under
the Creative Commons Attribution 4.0 License.
Research article
21 Dec 2017
How much should we believe correlations between Arctic cyclones and sea ice extent?
Jamie G. L. Rae1, Alexander D. Todd1,2, Edward W. Blockley1, and Jeff K. Ridley1 1Met Office, FitzRoy Road, Exeter, EX1 3PB, UK
2College of Engineering, Mathematics and Physical Sciences, University of Exeter, Exeter, EX4 4QF, UK
Abstract. This paper presents an investigation of the robustness of correlations between characteristics of Arctic summer cyclones and September Arctic sea ice extent. A cyclone identification and tracking algorithm is run for output from 100-year coupled climate model simulations at two resolutions and for 30 years of reanalysis data, using two different tracking variables (mean sea-level pressure, MSLP; and 850 hPa vorticity) for identification of the cyclones. The influence of the tracking variable, the spatial resolution of the model, and spatial and temporal sampling on the correlations is then explored. We conclude that the correlations obtained depend on all of these factors and that care should be taken when interpreting the results of such analyses. Previous studies of this type have used around 30 years of reanalysis and observational data, analysed with a single tracking variable. Our results therefore cast some doubt on the conclusions drawn in those studies.

Citation: Rae, J. G. L., Todd, A. D., Blockley, E. W., and Ridley, J. K.: How much should we believe correlations between Arctic cyclones and sea ice extent?, The Cryosphere, 11, 3023-3034, https://doi.org/10.5194/tc-11-3023-2017, 2017.
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Short summary
Several studies have highlighted links between Arctic summer storms and September sea ice extent in observations. Here we use model and reanalysis data to investigate the sensitivity of such links to the analytical methods used, in order to determine their robustness. The links were found to depend on the resolution of the model and dataset, the method used to identify storms and the time period used in the analysis. We therefore recommend caution when interpreting the results of such studies.
Several studies have highlighted links between Arctic summer storms and September sea ice extent...
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