Higher-order statistical moments to analyse Arctic sea-ice drift patterns
| العنوان: | Higher-order statistical moments to analyse Arctic sea-ice drift patterns |
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| المؤلفون: | Jennifer V. Lukovich, Satwant Kaur, Jens K. Ehn, David G. Barber |
| المصدر: | Annals of Glaciology. 61:464-471 |
| بيانات النشر: | Cambridge University Press (CUP), 2020. |
| سنة النشر: | 2020 |
| مصطلحات موضوعية: | geography, geography.geographical_feature_category, 010504 meteorology & atmospheric sciences, Series (mathematics), Beaufort Gyre, Gaussian, Flow (psychology), Probability density function, 010502 geochemistry & geophysics, Atmospheric sciences, 01 natural sciences, Arctic ice pack, symbols.namesake, symbols, Kurtosis, Sea ice, Geology, 0105 earth and related environmental sciences, Earth-Surface Processes |
| الوصف: | Geophysical systems are often assumed to follow Gaussian probability density functions; however, deviations from Gaussian behaviour can shed light on the underlying dynamics. For the large-scale motion of the Arctic sea ice, such deviations have been interpreted as signatures of structure in dynamic flow fields. In this study, we use higher-order moments (skewness and kurtosis) to identify spatiotemporal changes in the Beaufort Gyre (BG) and the Transpolar Drift (TPD) sea-ice drift patterns. Higher-order moments of satellite-derived ice drift speeds are examined over the winter period of 2006–2017 to describe the persistence of features like the BG and TPD, and their variation over time. Index patterns indicate that the periphery of the BG can be identified by a combination of high positive skewness and high kurtosis in the ice drift time series on an annual basis. |
| تدمد: | 1727-5644 0260-3055 |
| URL الوصول: | https://explore.openaire.eu/search/publication?articleId=doi_________::388e37aac65aa490a886fb163a9abcc3 https://doi.org/10.1017/aog.2021.6 |
| حقوق: | OPEN |
| رقم الأكسشن: | edsair.doi...........388e37aac65aa490a886fb163a9abcc3 |
| قاعدة البيانات: | OpenAIRE |
| تدمد: | 17275644 02603055 |
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