CAJ | 학술논문

文章基于2004年1月~2006年11月的“国际努加登沙层结与输运”(international Nusantara stratification and transport, INSTANT)计划以及2006年11月~2011年7月的“印度尼西亚贯穿流观测”(monitoring the Indonesian throughflow, MITF)计划的实测数据,从长时间序列研究印度尼西亚贯穿流的变化。在望加锡海峡中,印度尼西亚贯穿流的周期信号分布非常丰富,涵盖潮汐、季节内、季节和年际信号。对于季节变化,东南季风期间温跃层深度上最大南向流速约为1.0m?s?1,而西北季风期间最大南向流速约为0.8m?s?1。印度尼西亚贯穿流的年际变化与尼诺3.4区指数(NINO 3.4)呈正相关,最大相关系数大约在 NINO 3.4前1~2个月；水深150m 以上,印度尼西亚贯穿流与偶极子模态指数(dipole mode index, DMI)呈负相关,200m以下呈正相关,在时间上较DMI滞后约1~2个月。季节变化的经验正交分解(empirical orthogonal function, EOF)前2个模态方差的总贡献率为97%,其中第一模态为65%,第二模态为32%；年际变化的EOF前2个模态的方差贡献率为90%,其中第一模态为51%,第二模态为39%。季节变化的第二模态和年际变化的第一模态表征赤道印度洋开尔文波模态,该模态的空间结构在垂向会发生相位反转；季节变化的第一模态和年际变化的第二模态表征赤道太平洋罗斯贝波(Rossby waves)的厄尔尼诺与南方涛动(El Ni?o and southern oscillation, ENSO)模态,其垂向的空间结构变化比较一致。
문장기우2004년1월~2006년11월적“국제노가등사층결여수운”(international Nusantara stratification and transport, INSTANT)계화이급2006년11월~2011년7월적“인도니서아관천류관측”(monitoring the Indonesian throughflow, MITF)계화적실측수거,종장시간서렬연구인도니서아관천류적변화。재망가석해협중,인도니서아관천류적주기신호분포비상봉부,함개조석、계절내、계절화년제신호。대우계절변화,동남계풍기간온약층심도상최대남향류속약위1.0m?s?1,이서북계풍기간최대남향류속약위0.8m?s?1。인도니서아관천류적년제변화여니낙3.4구지수(NINO 3.4)정정상관,최대상관계수대약재 NINO 3.4전1~2개월；수심150m 이상,인도니서아관천류여우겁자모태지수(dipole mode index, DMI)정부상관,200m이하정정상관,재시간상교DMI체후약1~2개월。계절변화적경험정교분해(empirical orthogonal function, EOF)전2개모태방차적총공헌솔위97%,기중제일모태위65%,제이모태위32%；년제변화적EOF전2개모태적방차공헌솔위90%,기중제일모태위51%,제이모태위39%。계절변화적제이모태화년제변화적제일모태표정적도인도양개이문파모태,해모태적공간결구재수향회발생상위반전；계절변화적제일모태화년제변화적제이모태표정적도태평양라사패파(Rossby waves)적액이니낙여남방도동(El Ni?o and southern oscillation, ENSO)모태,기수향적공간결구변화비교일치。
Thanks to the INSTANT (international Nusantara stratification and transport) and MITF (monitoring the Indonesian throughflow) programs, more data became available for studying the Indonesian throughflow (ITF) through the Makassar Strait. The ITF in the Makassar Strait shows a broad range of activities, from tidal, intraseasonal, seasonal, to annual time scales. The maximum velocity in the Makassar Strait is thermocline intensified, at ?1.0 m?s?1 during the southeast monsoon and?0.8 m?s?1 during the northwest monsoon. The interannual variability of the ITF has a positive correlation with NINO 3.4, <br> leading NINO 3.4 by 1~2 months, while the ITF in the upper 150 m has a negative correlation with the dipole model index (DMI), but the ITF below 200 m has a positive correlation with the DMI, lagging DMI by 1~2 months. Empirical orthogonal function (EOF) analysis of seasonal variability reveals that the first two dominant modes account for 97%of the total variance, namely, the first and second modes accounted for 65% and 32% of the total variance, respectively. EOF of the interannual variability shows that the first mode accounts for 51%of the total variance, and the second, for 39%. The second mode of the seasonal variability and the first mode of the interannual variability are dominated by the intrusions of Kelvin waves from the tropical Indian Ocean. The first mode of the seasonal variability and the second mode of the interannual variability reflect ENSO modulation of Rossby waves from the tropical Pacific Ocean.