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首页> 外文期刊>Journal of Physical Oceanography >Interannual to Interdecadal Variability in the Japan Sea Based on a New Gridded Upper Water Temperature Dataset
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Interannual to Interdecadal Variability in the Japan Sea Based on a New Gridded Upper Water Temperature Dataset

机译：基于新的网格化上层水温数据集的日本海年际至年代际变化

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摘要

A new gridded water temperature dataset of upper 400-m depths (0, 50, 100, 200, 300, and 400 m) for the Japan Sea (or East Sea) is produced by using an optimal interpolation technique from 1930 to 1996, based on oceanographic observations collected in the World Ocean Database 1998. The temperature data are analyzed by a complex empirical orthogonal function (CEOF) with six levels combined using the data for a period from 1957 to 1996, during which most of gridded data are available. Before calculating the CEOFs, low-pass or high-pass filters (cutoff period at 7 yr) are applied to separate interannual and decadal temperature changes, respectively. One interannual and two decadal CEOF modes are identified. The interannual first CEOF mode is characterized by the energetic variability around and south of the subpolar front in the western Japan Sea, accompanied by northward and northeastward phase propagations emanating from the Tsushima Strait. The decadal first CEOF mode exhibits a broad structure prevailing over the whole Japan Sea, but large amplitudes are trapped by the subpolar front, with 60°-90° phase lags between the northeastern and southwestern Japan Sea. The decadal second CEOF mode has a localized structure with strong correlations in the Yamato Basin. The relation between the atmosphere and ocean is analyzed by a correlation analysis of wintertime sea level pressures (SLPs) onto the temporal coefficients of the CEOF modes. The interannual first CEOF mode is accompanied by the SLP anomalies over the western North Pacific Ocean with steep SLP gradients over the Japan Sea, suggesting that this mode is forced by local wind anomalies associated with the SLP changes over the western North Pacific. The decadal first CEOF mode is likely to be caused by changes of the east Asian winter monsoon due to the SLP variability of the northern part of the Siberian high, which is closely associated with the decadal fluctuations of the Arctic Oscillation and the North Atlantic Oscillation. The second decadal CEOF mode is accompanied by high SLP correlations over the central North Pacific associated with strength changes of Aleutian lows, suggestive of remote forcing from the central North Pacific.
机译：利用1930年至1996年的最佳插值技术，建立了日本海（或东海）400米深（0、50、100、200、300和400 m深度）的栅格化水温新数据集。以1998年世界海洋数据库中收集的海洋观测资料为基础。温度数据通过复杂的经验正交函数（CEOF）进行分析，该函数具有六个等级，并使用1957年至1996年这段时间的数据进行了分析，在此期间，大多数网格化数据都可用。在计算CEOF之前，分别应用低通或高通滤波器（截止期为7年）分别分离年际和年代际温度变化。确定了一种年际和两种十年的CEOF模式。每年第一次的CEOF模式的特征是在日本西部海域副极锋周围和南部的能量变化，并伴随着对马海峡向北和向东北传播。年代际的首个CEOF模式展现出在整个日本海中普遍存在的广泛结构，但大振幅被亚极锋所困，在日本东北海和西南海之间存在60°-90°的相位滞后。十年的第二个CEOF模式在大和盆地具有局部性强的相关性。通过将冬季海平面压力（SLP）与CEOF模式的时间系数进行相关性分析，分析了大气与海洋之间的关系。每年首次的CEOF模式伴随着北太平洋西部的SLP异常以及日本海上陡峭的SLP梯度，这表明该模式是由与北太平洋西部的SLP变化相关的局部风异常推动的。年代际第一CEOF模式很可能是由于西伯利亚高压北部SLP的变化而引起的东亚冬季风的变化，这与北极涛动和北大西洋涛动的年代际波动密切相关。第二个十年的CEOF模式伴随着北太平洋中部的高SLP相关性和阿留申低点的强度变化，这暗示着北太平洋中部的偏远强迫作用。

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