دورية أكاديمية
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: | Satwant Kaur, Jennifer V. Lukovich, Jens K. Ehn, David G. Barber |
المصدر: | Annals of Glaciology, Vol 61, Pp 464-471 (2020) |
بيانات النشر: | Cambridge University Press, 2020. |
سنة النشر: | 2020 |
المجموعة: | LCC:Meteorology. Climatology |
مصطلحات موضوعية: | Ice velocity, sea ice, sea-ice dynamics, sea-ice geophysics, Meteorology. Climatology, QC851-999 |
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. |
نوع الوثيقة: | article |
وصف الملف: | electronic resource |
اللغة: | English |
تدمد: | 0260-3055 1727-5644 |
Relation: | https://www.cambridge.org/core/product/identifier/S0260305521000069/type/journal_article; https://doaj.org/toc/0260-3055; https://doaj.org/toc/1727-5644 |
DOI: | 10.1017/aog.2021.6 |
URL الوصول: | https://doaj.org/article/8f56ad2299f44050a1a4de3bc4a7f9e7 |
رقم الأكسشن: | edsdoj.8f56ad2299f44050a1a4de3bc4a7f9e7 |
قاعدة البيانات: | Directory of Open Access Journals |
تدمد: | 02603055 17275644 |
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DOI: | 10.1017/aog.2021.6 |