Reconstruction of Sea Surface Temperature Data based on the Sr/Ca of Porites Coral in Ambon Bay
Sea Surface Temperature (SST) data can be used to understand oceanography dynamics in Ambon Bay. However, a lack of continual and long time series in-situ SST data limited this study. To overcome this problem, the Sr/Ca composition in Porites coral taken from Outer Ambon Bay was used to reconstruct...
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| Format: | Article |
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ITB Journal Publisher
2016-08-01
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| Series: | Journal of Mathematical and Fundamental Sciences |
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| Online Access: | http://journals.itb.ac.id/index.php/jmfs/article/view/1330 |
| _version_ | 1819109691917074432 |
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| author | Corry Corvianawatie Sri Yudawati Cahyarini Mutiara Rachmat Putri |
| author_facet | Corry Corvianawatie Sri Yudawati Cahyarini Mutiara Rachmat Putri |
| author_sort | Corry Corvianawatie |
| collection | DOAJ |
| description | Sea Surface Temperature (SST) data can be used to understand oceanography dynamics in Ambon Bay. However, a lack of continual and long time series in-situ SST data limited this study. To overcome this problem, the Sr/Ca composition in Porites coral taken from Outer Ambon Bay was used to reconstruct SST. The coral sample was sub-sampled monthly and analyzed using ICP-OES. Subsequently, the anchor point method was used to develop the chronology of the coral Sr/Ca based on ERSST v3b data. The regression equation results were Sr/Ca = -0.059 x SST + 10.32 (r = -0.699, n = 95, p < 0.05). The reconstructed SST based on these results was verified by in-situ data from May to November 2008. The difference was found to be 1.2-2.5 °C (σ = 0.05%). This results lead us to conclude that coral Sr/Ca reflects SST variation in Ambon Bay well. Based on the reconstructed SST, we found that the SST in Ambon Bay experiences an extreme seasonal variation, which is highly correlated to air temperature, wind speed, and length of sun radiation. Ambon Bay also experiences SST anomalies in some periods, which are dominantly affected by local atmospheric conditions rather than ENSO phenomena. |
| first_indexed | 2024-12-22T03:29:51Z |
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| id | doaj.art-d2c4ab5807d9499087be66413f6bbbff |
| institution | Directory Open Access Journal |
| issn | 2337-5760 2338-5510 |
| language | English |
| last_indexed | 2024-12-22T03:29:51Z |
| publishDate | 2016-08-01 |
| publisher | ITB Journal Publisher |
| record_format | Article |
| series | Journal of Mathematical and Fundamental Sciences |
| spelling | doaj.art-d2c4ab5807d9499087be66413f6bbbff2022-12-21T18:40:31ZengITB Journal PublisherJournal of Mathematical and Fundamental Sciences2337-57602338-55102016-08-0148211512910.5614/j.math.fund.sci.2015.48.2.3Reconstruction of Sea Surface Temperature Data based on the Sr/Ca of Porites Coral in Ambon BayCorry Corvianawatie0Sri Yudawati Cahyarini1Mutiara Rachmat Putri2Technical Implementation Unit for Oceanographic Human Resources Development, Research Center for Oceanography, Indonesian Institute of Sciences (LIPI), Jalan Raden Saleh 43 Cikini, Jakarta 10330, IndonesiaResearch Center for Geotechnology, Indonesian Institute of Science (LIPI), Kampus LIPI Bandung, Jalan Cisitu Sangkuriang, Bandung 40135, IndonesiaResearch Group for Oceanography, Institut Teknologi Bandung, Jalan Ganesa 10, Bandung 40132, IndonesiaSea Surface Temperature (SST) data can be used to understand oceanography dynamics in Ambon Bay. However, a lack of continual and long time series in-situ SST data limited this study. To overcome this problem, the Sr/Ca composition in Porites coral taken from Outer Ambon Bay was used to reconstruct SST. The coral sample was sub-sampled monthly and analyzed using ICP-OES. Subsequently, the anchor point method was used to develop the chronology of the coral Sr/Ca based on ERSST v3b data. The regression equation results were Sr/Ca = -0.059 x SST + 10.32 (r = -0.699, n = 95, p < 0.05). The reconstructed SST based on these results was verified by in-situ data from May to November 2008. The difference was found to be 1.2-2.5 °C (σ = 0.05%). This results lead us to conclude that coral Sr/Ca reflects SST variation in Ambon Bay well. Based on the reconstructed SST, we found that the SST in Ambon Bay experiences an extreme seasonal variation, which is highly correlated to air temperature, wind speed, and length of sun radiation. Ambon Bay also experiences SST anomalies in some periods, which are dominantly affected by local atmospheric conditions rather than ENSO phenomena.http://journals.itb.ac.id/index.php/jmfs/article/view/1330Ambon Baycoral Sr/Caoceanography dynamicsporitessea surface temperature reconstruction |
| spellingShingle | Corry Corvianawatie Sri Yudawati Cahyarini Mutiara Rachmat Putri Reconstruction of Sea Surface Temperature Data based on the Sr/Ca of Porites Coral in Ambon Bay Journal of Mathematical and Fundamental Sciences Ambon Bay coral Sr/Ca oceanography dynamics porites sea surface temperature reconstruction |
| title | Reconstruction of Sea Surface Temperature Data based on the Sr/Ca of Porites Coral in Ambon Bay |
| title_full | Reconstruction of Sea Surface Temperature Data based on the Sr/Ca of Porites Coral in Ambon Bay |
| title_fullStr | Reconstruction of Sea Surface Temperature Data based on the Sr/Ca of Porites Coral in Ambon Bay |
| title_full_unstemmed | Reconstruction of Sea Surface Temperature Data based on the Sr/Ca of Porites Coral in Ambon Bay |
| title_short | Reconstruction of Sea Surface Temperature Data based on the Sr/Ca of Porites Coral in Ambon Bay |
| title_sort | reconstruction of sea surface temperature data based on the sr ca of porites coral in ambon bay |
| topic | Ambon Bay coral Sr/Ca oceanography dynamics porites sea surface temperature reconstruction |
| url | http://journals.itb.ac.id/index.php/jmfs/article/view/1330 |
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