Dynamic of upwelling variability in southern Indonesia region revealed from satellite data: Role of ENSO and IOD

被引:4
|
作者
Rachman, Herlambang Aulia [1 ]
Setiawati, Martiwi Diah [2 ,3 ]
Hidayah, Zainul [1 ]
Syah, Achmad Fachruddin [1 ]
Nandika, Muhammad Rizki [2 ]
Lumban-Gaol, Jonson [4 ]
As-syakur, Abd. Rahman [5 ]
Syamsudin, Fadli [6 ]
机构
[1] Univ Trunojoyo Madura, Fac Agr, Dept Marine Sci & Fisheries, Jalan Raya Telang 02, Kamal Bangkalan 69162, East Java, Indonesia
[2] Natl Res & Innovat Agcy BRIN, Res Ctr Oceanog, Jakarta, Indonesia
[3] United Nations Univ, Inst Adv Study Sustainabil UNU IAS, Jingumae 5-53-70,Shibuya Ku, Tokyo 1508925, Japan
[4] Bogor Agr Univ, Fac Fisheries & Marine Sci, Dept Marine Sci & Technol, Bogor 16680, Indonesia
[5] Udayana Univ, Fac Marine & Fisheries, Marine Sci Dept, Bukit Jimbaran Campus, Bali 80361, Indonesia
[6] Univ Padjadjaran, Fac Fisheries & Marine Sci, Study Ctr Climate & Reg Maritime Management, Jalan Raya Bandung Sumedang KM 21, Jatinangor 45363, West Java, Indonesia
关键词
Satellite data; Upwelling; Southern Indonesia; Correlation; Indian Ocean Dipole (IOD); INTERANNUAL VARIABILITY; DIPOLE MODE; !text type='JAVA']JAVA[!/text; COASTAL; PACIFIC; EVENTS; WATERS; EKMAN; BALI;
D O I
10.1016/j.seares.2024.102543
中图分类号
Q17 [水生生物学];
学科分类号
071004 ;
摘要
The Southern Indonesian (SI) region is known for its high-intensity coastal upwelling caused by monsoonal wind. Interannual phenomena such as El Nino Southern Oscillation (ENSO) and Indian Ocean Dipole (IOD) also influence upwelling activity in this region. This study analyzed the relationship between upwelling intensity (UIsst) and those variables and their impact on oceanographic features such as Sea Surface Temperature (SST) and chlorophyll-a concentration. We used satellite imagery data, including SST from the National Oceanic and Atmospheric Administration (NOAA) and chlorophyll-a from MODIS, to analyze the aforementioned issue. To identify the impact of wind patterns on coastal upwelling, we analyzed using zonal wind stress from ERA-5 Data. Quantification of UIsst is defined as the SST gradient between the coastal and open ocean waters. Linear and partial correlation analysis between UIsst with the Ocean Nino Index (ONI) and Dipole Mode Index (DMI) were conducted to see the influence of ENSO and IOD phenomena. Anomaly analysis was also conducted on SST, chlorophyll-a concentration, zonal windstress and UIsst to see how large the values were during the years of the ENSO and IOD events. Upwelling in the SI region typically occurs during southeast monsoon (SEM) periods, starting earlier in the East side (Nusa Tenggara Islands) and moving towards the West side (South Coast of Java). The correlation analysis (both linear and partial) indicates that the IOD has a stronger influence on UIsst in the SI region compared to ENSO, especially during June to October (SEM periods). This finding is confirmed by anomaly analysis, which reveals significant changes in SST, chlorophyll-a concentration, zonal windstress, and UIsst during ENSO and IOD events. The magnitude of the anomalies is generally stronger during IOD events than those observed under ENSO conditions.
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页数:17
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