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首页> 外文期刊>Journal of Geophysical Research, C. Oceans: JGR >Seasonally dependent interannual variability of sea ice in the Bering Sea and its relation to atmospheric fluctuations
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Seasonally dependent interannual variability of sea ice in the Bering Sea and its relation to atmospheric fluctuations

机译：白令海海冰的季节依赖性年际变化及其与大气波动的关系

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Interannual variability of sea ice in the Bering Sea and its relationship to atmospheric variability is analyzed using a singular value decomposition (SVD) analysis of sea ice concentrations (SICs) and 1000 hPa wind speeds in winter and spring seasons. The statistically significant first and second SVD modes, explaining 76.3% and 17.6% in winter and 54.6% and 29.6% in spring of the squared covariance between the two fields, are identified for SICs both in the winter and spring seasons with 1 month leading wind speeds. The spatial structures show that the first (second) SVD mode explains the SIC variability in the northeastern (northwestern) Bering Sea, related to the local northwesterly (northerly) wind anomalies for the positive SIC anomalies both in the winter and spring seasons. A comparison of the first SVD modes between the winter and spring seasons suggests that the difference of dominant patterns of wind anomalies results in the difference of SIC anomaly distributions between two seasons. The relationship between sea ice and atmospheric circulation anomalies indicates that one mode of the leading two SVD modes in each season is related to large-scale atmospheric circulation associated with the Aleutian low and the other mode is related to relatively local atmospheric fluctuations related with pressure anomalies over Alaska. Furthermore, a slight difference of 700 hPa geopotential height anomalies results in the substantially different sea ice anomalies. These results suggest that in order to know the interannual sea ice variability in the Bering Sea, a better understanding of the wind anomalies over the Bering Sea are important.
机译：使用冬季和春季的海冰浓度（SIC）和1000 hPa风速的奇异值分解（SVD）分析，分析了白令海海冰的年际变化及其与大气变化的关系。具有统计显着性的第一和第二SVD模式在冬季和春季以及领先1个月的风的情况下被确定为SIC的SIC分别解释了冬季的76.3％和17.6％和春季的54.6％和29.6％的春季。速度。空间结构表明，第一（第二）SVD模式解释了东北（西北）白令海的SIC变异性，与冬季和春季的正SIC异常的局部西北（北）风异常有关。冬季和春季之间第一个SVD模式的比较表明，风异常的主要模式的差异导致两个季节之间SIC异常分布的差异。海冰与大气环流异常之间的关系表明，每个季节前两种SVD模式中的一种模式与与阿留申低压相关的大规模大气环流有关，另一种模式与与压力异常有关的相对局部大气波动有关。在阿拉斯加。此外，700 hPa的地势高度异常略有不同会导致海冰异常明显不同。这些结果表明，为了了解白令海的年际海冰变化，更好地了解白令海的风异常很重要。

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