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Seasonal co-variability of surface downwelling longwave radiation for the 1982–2009 period in the Arctic

机译:北极1982-2009年期间地面下流长波辐射的季节性协变

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摘要

Trends and variability of the Arctic sea ice extent depend on various physical processes, including\udthose related to changes in radiative fluxes, which are associated with cloudiness and water vapour and, in turn,\udwith the atmospheric moisture transport over the Arctic. Aim of this work was: (i) to extract seasonal spatial\udpatterns of the co-variability between the sea ice concentration (SIC) and the surface downwelling longwave\udradiation (SDL) in the Arctic Ocean during the 1982–2009 period; and (ii) to estimate the correlation coefficients\udbetween these patterns and the indices associated to some climate oscillation modes (AO, NAO, PNA, PDO and\udAMO). Maximum Covariance Analysis (MCA) was the main technique used in this study. Among our results,\udwe highlight two areas of maximum co-variability SIC/SDL centered over the Barents Sea in winter and over\udthe Chukchi Sea in summer. In addition, some statistically significant correlations (at 95 %) between the spatial\udpatterns of co-variability and climate oscillation indices were assessed, e.g. with PDO and AMO in November–\udJanuary, with NAO and AMO in May–July, and with PNA in August–October.
机译:北极海冰范围的趋势和可变性取决于各种物理过程,包括与辐射通量变化有关的辐射,这些辐射通量与云量和水蒸气有关,反过来又与大气水分在北极上的迁移有关。这项工作的目的是:(i)提取1982-2009年期间北冰洋海冰浓度(SIC)与表层下行长波\辐照度(SDL)之间协变的季节空间\模式; (ii)估算这些模式与与某些气候振荡模式(AO,NAO,PNA,PDO和\ udAMO)相关的指数之间的相关系数。最大协方差分析(MCA)是这项研究中使用的主要技术。在我们的结果中,\ udwe强调了两个最大协方差SIC / SDL区域,冬季在巴伦支海上空,夏季在楚科奇海上空。此外,还评估了协变量的空间\模式与气候振荡指数之间的一些统计学上显着的相关性(95%)。在11月至1月间与PDO和AMO合作,在5月至7月与NAO和AMO合作,并在8月至10月与PNA合作。

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