Seasonal variation of the upper-layer seawater properties in the Banda Sea: observed from an autonomous CTD Argo float

Atmadipoera, Agus S.; Prartono, Tri; Jaya, Indra; Nugroho, Dwiyoga; Harsono, Gentio; Nanlohy, Pieldrie; Koch-Larrouy, Ariane

doi:10.1088/1755-1315/278/1/012008

Cited by 4 publications

(8 citation statements)

References 14 publications

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“…Kompleksnya topografi dasar lautnya sangat membentuk cekungan di bagian barat dan palung di bagian timur [11]. Laut Banda juga merupakan jalur timur Arlindo (ITF) [2] dan sebagai penampung sementara massa air dari samudera Pasifik menuju Samudera Hindia.…”

Section: Pendahuluanunclassified

“…Arlindo memainkan peran penting dalam mengendalikan ekosistem laut, interaksi lautatmosfer serta variabilitas iklim di laut Indonesia dan kawasan Indo-Pasifik [2,6]. Massa air Arlindo yang masuk ke Indonesia berasal dari pasifik utara dan pasifik selatan [5,7,12].…”

Section: Pendahuluanunclassified

“…Salinitas terlihat homogen pada lapisan termoklin dengan isopiknal 24-25,5 Kg/m 3 dan pada lapisan dalam di isopiknal dibawah 26 Kg/m 3 . Hasil ini sesuai dengan pernyataan [2], salinitas relatif homogen pada lapisan termoklin (isopiknal 24 s/d 25,5 Kg/m 3 ) dan lapisan menengah (isopiknal dibawah 26 Kg/m 3 ) tetapi fluktuasi musiman salinitas relatif besar di lapisan tercampur (diatas isopiknal 23,5 Kg/m 3 ).…”

Section: Struktur Massa Air Laut Bandaunclassified

“…Massa air pada lapisan permukaan memiliki salinitas berkisar antara 33,5-34,5 Psu, suhu berkisar antara 25-27,5 0 C dan kedalaman <100 m. Massa air yang berada di lapisan permukaan merupakan massa air yang bergerak dari tenggara masuk ke Laut Banda mengingat angin munson tenggara sedang berlangsung [2]. Salinitas rendah dengan nilai 32,7 Psu yang terlihat di Stasiun 1 diakibatkan pengaruh curah hujan yang intens mengencerkan salinitas sehingga menjadi rendah.…”

Section: Struktur Massa Air Laut Bandaunclassified

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Stratifikasi Dan Struktur Massa Air Laut Banda Saat Musim Timur

AWAYAL

2023

jfmr

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Laut Banda termasuk jalur Arlindo bagian timur, sebagai reservoir sementara massa air, dan merupakan wilayah Upwelling yang bervariasi secara musiman tergantung dari arah musim. Penelitian ini merupakan bagian dari Ekspedisi Jala Citra 2-2022 Banda yang bertujuan untuk mengkaji stratifikasi massa air di Laut Banda. Proses sampling menggunakan CTD Rosette pada 6 Stasiun pengamatan yang meliputi data suhu, salinitas dan densitas. Analisa stratifikasi massa air untuk melihat pelapisan massa air, sedangkan analisa lapisan Gumbar (Core Layers), analisis isopiknal dan analisis diagram TS untuk analisa struktur massa air. Hasil penelitian menunjukan variasi suhu, salinitas dan densitas cukup besar di lapisan permukaan. Pada lapisan termoklin ditemukan massa air dengan salinitas maksimum (Smax) mencapai 34,79 Psu, kisaran suhu 17,09-23 0 C dengan isopiknal 23,99-25,45 Kg/m 3 yang berada di kedalaman 106-187 m. Pada lapisan bawah termoklin ditemukan massa air dengan salinitas maksimum (S max ) mencapai 34,81 Psu, kisaran suhu 8,67-12,79 0 C dan isopiknal 26,41-27,01 Kg/m 3 dengan kedalaman 230-402 m. Salinitas minimum (S min ) berada pada isopiknal 26,11-26,56 Kg/m 3 dengan salinitas mencapai 34,36 Psu di kedalaman 234-324 m dengan kisaran suhu 10,60-12,58 0 C. Lapisan dalam ditemukan massa air dengan kisaran salinitas 33,48-34,74 Psu yang berada di kedalaman 674-1000 m dengan kisaran suhu 4,59-6,94 0 C serta isopiknal >27 Kg/m 3 . Massa air lapisan termoklin yang memiliki Smax diyakini adalah massa air NPSW. Pada lapisan bawah termoklin merupakan karakter dari massa air SPLTW (Smax) sedangkan massa air yang memiliki Smin adalah massa air NPIW. Pada lapisan yang lebih dalam merupakan karakter dari massa air AAIW.

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Section: Pendahuluanunclassified

Section: Struktur Massa Air Laut Bandaunclassified

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Stratifikasi Dan Struktur Massa Air Laut Banda Saat Musim Timur

AWAYAL

2023

jfmr

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“…This flow has two routes, namely the western route to the North Pacific from the Sulawesi Sea which branches into the Makasar Strait and Maluku Sea, and flows south through the Flores and Banda Seas. The eastern route to the South Pacific flows from the Halmahera Sea, Maluku Sea, and Seram Sea through the Lifamatola pressure and flows into the Banda Sea [3]. If we look at the two ITF routes, it can be indicated that the Maluku Sea is thought to be crossed by two different water masses, namely coming from the North and South Pacific.…”

Section: Introductionmentioning

confidence: 99%

Water masses stratification and circulation in the southern part of Banggai Upwelling Region in Maluku Sea

Ryanto,

Atmadipoera,

Basit

et al. 2024

BIO Web Conf.

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Banggai Waters is in the western Maluku Sea, where the secondary pathway of Indonesian Throughflow passes and seasonal coastal upwelling takes place in this region, providing a high marine productivity and potential fishing ground. This study aims to describe water mass stratification and circulation using CTD casts and SADCP section datasets from the BUDEE cruise in September 2022 onboard RV Baruna Jaya VIII. The results show that mixed layer depth varies between 43-112 m with a mean temperature of 25.82(± 0.88) ºC. North Pacific water origin (NPSW and NPIW) is present in this southern section. The depth of chlorophyll maximum is much shallower in the upwelling center. Furthermore, for the first time, we identified a strong northward flow from the Bote Strait, disrupting Banggai upwelling water with cooler and fresher Banda water. Estimates of northward transport volume through this strait is about 0.531 Sv.

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Ocean color as a proxy to predict sea surface salinity in the Banda Sea

Wouthuyzen

Kusmanto

Fadli

et al. 2020

IOP Conf. Ser.: Earth Environ. Sci.

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Salinity is an important ocean parameter that greatly influences physical, chemical, and biological ocean properties and processes. Salinity combines with sea temperature and chlorophyll-a (Chl-a) that mostly sourced from remote sensing-based measurements can reveal ocean quality and supports fisheries. However, the satellite-derived Sea Surface Salinity (SSS) dataset (∼ 9 years) is not as temporally adequate as SST and Chl-a datasets (∼3 decades) and thus, preventing a comprehensively spatio-temporal analysis of this water quality aspect. Since (SSS) can be approximated using satellite-derived ocean color products having the similar temporal length of datasets to the available SST and Chl-a datasets, predicted SSS can be produced from these ocean color products to fill the gap of the existing SSS dataset. This study aims to estimate the SSS from ocean color products of Aqua-MODIS satellite with a spatial and temporal resolution of 4 km and 8-daily by developing an empirical model. The ocean color data used were remote sensing reflectance (Rrs) of blue, green and red wavelengths (412, 433, 469, 488, 531, 547, 555, 645, 667 and 678 nm). The absorption coefficients due to detritus material non-algae, Gelbstof and CDOM (ADG) at 443 nm and the absorption coefficient due to phytoplankton (APH) at 443 nm data were also used. The Banda Sea was chosen due to its large-scale upwelling system (∼300 km × 300 km) that providing an important ocean process related to fishery and the availability of in-situ salinity measurements (i.e. CTD casts from series of Research Vessel (R/V) Baruna Jaya III, VII and VIII cruises and Argo floats), which a part of these datasets will be used to validate predicted SSS. Results showed that of all ocean color parameters tested, ADG at 443 nm was strongly correlated with in-situ SSS through the polynomial order 5 regression equation with a high R2 of 0.94 and a low RMES value of 0.101 PSU. Although this empirical model has high accuracy, but based on RMSE analysis results from various locations within and outside the Banda Sea that influenced by the Pacific and the Indian ocean water masses indicates that this model actually good to predict in-situ SSS only for a narrow range SSS of 33.4-34.5 PSU. Nevertheless, this model has a limitation, it is still can be used for predicting and mapping the SSS for Banda Sea as well as for most of the Indonesian waters. The long-term meteorological SSS map (2003-2017) derived by this model together with the SST and Chl-a maps can show clearly the upwelling phenomena of the Banda Sea, which occurred during the southeast monsoon (June-July-August, JJA). This study proves that ocean color data from Aqua-MODIS satellite can be applied to estimate and to map the SSS for most of the Indonesian waters, but validations for this model is still needed

show abstract

Seasonal variation of the upper-layer seawater properties in the Banda Sea: observed from an autonomous CTD Argo float

Cited by 4 publications

References 14 publications

Stratifikasi Dan Struktur Massa Air Laut Banda Saat Musim Timur

Stratifikasi Dan Struktur Massa Air Laut Banda Saat Musim Timur

Water masses stratification and circulation in the southern part of Banggai Upwelling Region in Maluku Sea

Ocean color as a proxy to predict sea surface salinity in the Banda Sea

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