南澳大利亚海盆表层涡动能的时空特征研究

doi:10.3969/j.issn.1001-909X.2023.03.003

海洋学研究 ›› 2023, Vol. 41 ›› Issue (3): 22-33.DOI: 10.3969/j.issn.1001-909X.2023.03.003

南澳大利亚海盆表层涡动能的时空特征研究

刘佳¹(), 郑少军¹^,²^,³^,^*(), 严厉¹^,²^,³, 陈航彪¹, 刘婷甄¹

1.广东海洋大学海洋与气象学院近海海洋变化与灾害预警实验室,广东湛江 524088
2.广东海洋大学广东省高等学校陆架及深远海气候、资源与环境重点实验室,广东湛江 524088
3.自然资源部空间海洋遥感与应用重点实验室,北京 100081

收稿日期:2022-09-26 修回日期:2023-03-07 出版日期:2023-09-15 发布日期:2023-10-24
通讯作者: *郑少军(1983—),男,副教授,主要从事物理海洋学研究,E-mail:zhengsj@gdou.edu.cn。
作者简介:刘佳(1998—),女,四川省凉山彝族自治州人,主要从事中尺度涡研究,E-mail:liujchn@163.com。
基金资助:
国家自然科学基金项目(42130605);广东省普通高校创新团队项目(2019KCXTF021);广东省冲一流专项资金项目(080507032201);广东省冲一流专项资金项目(080503032101);广东省冲一流专项资金项目(231420003);广东海洋大学科研启动经费资助项目(R18023);广东海洋大学科研启动经费资助项目(R19061);广东省研究生教育创新计划资助项目(2022SFKC_057)

Spatiotemporal variation of surface eddy kinetic energy in the South Australian Basin

LIU Jia¹(), ZHENG Shaojun¹^,²^,³^,^*(), YAN Li¹^,²^,³, CHEN Hangbiao¹, LIU Tingzhen¹

1. Laboratory for Coastal Ocean Variation and Disaster Prediction, College of Ocean and Meteorology, Guangdong Ocean University, Zhanjiang 524088, China
2. Key Laboratory of Climate, Resources, and Environment in Continental Shelf Sea and Deep Sea of Department of Education of Guangdong Province, Guangdong Ocean University, Zhanjiang 524088, China
3. Key Laboratory of Space Ocean Remote Sensing and Application, Ministry of Natural Resources, Beijing 100081, China

Received:2022-09-26 Revised:2023-03-07 Online:2023-09-15 Published:2023-10-24

摘要/Abstract

摘要：

基于1993—2019年海面高度异常数据分析了南澳大利亚海盆表层涡动能的时空变化特征。结果表明,表层涡动能在空间上存在两个高值区,分别位于海盆的西部和东部;在季节尺度上表现为南半球的冬季强,秋季弱,最大值出现在7月(57±9 cm²/s²),最小值出现在3月(40±5 cm²/s²)。涡动能在年际尺度上与ENSO呈显著负相关关系,即在厄尔尼诺(拉尼娜)衰退年,涡动能显著减弱(增强),滞后Niño3.4指数9个月;与SAM呈显著正相关关系,滞后SAM指数14个月,即在SAM正(负)位相的次年,涡动能显著增强(减弱)。

关键词: 涡动能, 时空特征, 厄尔尼诺-南方涛动(ENSO), 南半球环状模(SAM), 南澳大利亚海盆

Abstract:

The spatiotemporal variation of surface eddy kinetic energy (EKE) in the South Australian Basin was studied using sea level anomaly during 1993-2019. The results show that in spatial scale there are two regions of high EKE: one to the west, and one to the east. On the seasonal scale, surface EKE is the strongest in austral winter with a maximum (57±9 cm²/s²) in July and the weakest in autumn with a minimum (40±5 cm²/s²) in March. On the interannual scale, surface EKE is related to El Niño-Southern Oscillation (ENSO) and Southern Annular Mode (SAM). Partial correlation analysis indicates that surface EKE shows negative correlations with ENSO, lagging the Niño3.4 index by 9 months, and EKE is significantly weakened (strengthened) in the decaying year of El Niño (La Niña). Meanwhile, surface EKE shows positive correlations with SAM, lagging SAM index by 14 months, and EKE is significantly strengthened (weakened) in the next year of the positive (negative) SAM phases.

Key words: eddy kinetic energy, spatiotemporal variation, El Niño-Southern Oscillation (ENSO), Southern Annular Mode (SAM), South Australian Basin

中图分类号:

P731.2

刘佳, 郑少军, 严厉, 陈航彪, 刘婷甄. 南澳大利亚海盆表层涡动能的时空特征研究[J]. 海洋学研究, 2023, 41(3): 22-33.

LIU Jia, ZHENG Shaojun, YAN Li, CHEN Hangbiao, LIU Tingzhen. Spatiotemporal variation of surface eddy kinetic energy in the South Australian Basin[J]. Journal of Marine Sciences, 2023, 41(3): 22-33.

图/表 13

图1 南澳大利亚海盆及周边海域环流概念图 (图片根据文献[4]改绘。)

Fig.1 Schematic circulation in the South Australian Basin and adjacent regions (Figure was modified from reference[4].)

图2 基于AVISO的南澳大利亚海盆多年平均表层涡动能空间分布

Fig.2 Multi-year average distribution of surface eddy kinetic energy calculated from AVISO in the South Australian Basin

图3 基于AVISO(1993—2019年)的南澳大利亚海盆月平均表层涡动能异常空间分布

Fig.3 Monthly mean surface EKE anomaly distribution calculated from AVISO in the South Australian Basin during 1993-2019

图4 基于AVISO(1993—2019年)的南澳大利亚海盆月平均表层涡动能变化

Fig.4 Monthly mean variation of surface EKE calculated from AVISO in the South Australian Basin during 1993-2019

图5 南澳大利亚海盆月平均地转流和月平均地转流速空间分布

Fig.5 Monthly mean geostrophic currents and geostrophic speed distribution in the South Australian Basin

图6 南澳大利亚海盆表层涡动能(a)、涡动能异常(b)和一年低通滤波涡动能异常(c)的时间序列

Fig.6 Time series of surface EKE (a), EKE anomaly (b), and one year low-pass filtered EKE anomaly (c), respectively in the South Australian Basin

图7 南澳大利亚海盆一年低通滤波涡动能异常和Ni?o3.4指数(a)、IOB指数(b)、IOD指数(c)及SAM指数(d)的时间变化 (红色表示涡动能正异常,蓝色表示涡动能负异常。)

Fig.7 Time series of one year low-pass filtered EKE anomaly and Ni?o3.4 index (a), IOB index (b), IOD index (c) and SAM index (d) in the South Australian Basin (The red indicates positive EKE anomaly and blue indicates negative EKE anomaly.)

图8 一年低通滤波涡动能异常与Ni?o3.4指数(a)、IOB指数(b)、IOD指数(c)和SAM指数(d)的相关关系 (滞后时间正值表示异常滞后于气候指数,负值表示异常超前于气候指数。虚线为95%的置信水平。)

Fig.8 The correlations between one year low-pass filtered EKE anomaly and Ni?o3.4 index (a), IOB index (b), IOD index (c), and SAM index (d) (The positive value of lag time indicates that EKE anomaly lags the index and a negative value indicates that EKE anomaly leads the index, and dash lines represent 95% confidence level.)

图9 一年低通滤波涡动能异常与Ni?o3.4指数(a)、SAM指数(b)的偏相关关系 (滞后时间正值表示异常滞后于气候指数,负值表示异常超前于气候指数。虚线为95%的置信水平。)

Fig.9 The partial correlations between one year low-pass filtered EKE anomaly and Ni?o3.4 index, after removing the SAM (a), between one year low-pass filtered EKE anomaly and SAM index, after removing the ENSO (b) (The positive value of lag time indicates that EKE anomaly lags the index and a negative value indicates that EKE anomaly leads the index, and dash lines represent 95% confidence level.)

图10 厄尔尼诺时期表层涡动能异常空间分布

Fig.10 Spatial distribution of surface EKE anomaly during El Ni?o periods

图11 拉尼娜时期表层涡动能异常空间分布

Fig.11 Spatial distribution of surface EKE anomaly during La Ni?a periods

图12 SAM正位相时期表层涡动能异常空间分布

Fig.12 Spatial distribution of surface EKE anomaly during positive SAM phases

图13 SAM负位相时期表层涡动能异常空间分布

Fig.13 Spatial distribution of surface EKE anomaly during negative SAM phases

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南澳大利亚海盆表层涡动能的时空特征研究

Spatiotemporal variation of surface eddy kinetic energy in the South Australian Basin

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