BibTex Citation Data :
@article{BULOMA15738, author = {Hariyadi Hariyadi and Jarot Marwoto and Eko Yulihandoko}, title = {Kombinasi Data Altimetri Satelit Jason-1 & Envisat Untuk Memantau Perubahan Permukaan Laut Di Indonesia}, journal = {Buletin Oseanografi Marina}, volume = {6}, number = {1}, year = {2017}, keywords = {Perubahan permukaan laut; Altimetry; Jason-1; Envisat}, abstract = { Dinamika lautan di Indonesia merupakan salah satu kunci variasi iklim di kawasan Asia. Variasi iklim ini terkait dengan fenomena El Nino dan La Nina . Salah satu indikator fenomena tersebut adalah dengan adanya perubahan permukaan laut ( Sea Level Anomaly ). Satelit altimetri yang dapat menyediakan data secara menerus dan berkelanjutan dapat digunakan untuk mengamati dinamika lautan. Penggabungan data satelit Jason-1 dan Envisat ditujukan untuk mengatasi resolusi spasial dari tracking tiap satelit. Pengabungan dan prosesing data Jason-1 dan Envisat digunakan untuk menentukan perubahan Sea Level Anomaly ( SLA ) pada titik-titik pengamatan di Laut Bangka, Laut Banda, Lautan Pasifik dan Laut Timor. Titik-titik tersebut mewakili dari Arus Monsoon Indonesia dan Arus Lintas Indonesia. Hasilnya terjadi perubahan nilai SLA yang dapat dikaitkan dengan fenomena El Nino . The dynamics of the oceans in Indonesia is one of the key climate variations in Asia. These climate variations are related to the phenomenon of El Nino and La Nina. One indicator of the phenomenon is with the change of sea level (Sea Level Anomaly). The existence of altimetry satellites that can provide continuous and continuous data can be used to observe the dynamics of the oceans. Jason-1 and Envisat satellite data aggregation is intended to address the spatial resolution of tracking of each satellite. Jason-1 and Envisat data consolidation and processing are used to determine the Sea Level Anomaly (SLA) changes at observation points in the Bangka Sea, Banda Sea, Pacific Ocean and Timor Sea. These points represent from the Indonesian Monsoon Flow and the Indonesian Cross Flow. The result is a change in the value of SLA that can be attributed to the El Nino phenomenon. }, issn = {2550-0015}, pages = {24--28} doi = {10.14710/buloma.v6i1.15738}, url = {https://ejournal.undip.ac.id/index.php/buloma/article/view/15738} }
Refworks Citation Data :
Dinamika lautan di Indonesia merupakan salah satu kunci variasi iklim di kawasan Asia. Variasi iklim ini terkait dengan fenomena El Nino dan La Nina. Salah satu indikator fenomena tersebut adalah dengan adanya perubahan permukaan laut (Sea Level Anomaly). Satelit altimetri yang dapat menyediakan data secara menerus dan berkelanjutan dapat digunakan untuk mengamati dinamika lautan. Penggabungan data satelit Jason-1 dan Envisat ditujukan untuk mengatasi resolusi spasial dari tracking tiap satelit. Pengabungan dan prosesing data Jason-1 dan Envisat digunakan untuk menentukan perubahan Sea Level Anomaly (SLA) pada titik-titik pengamatan di Laut Bangka, Laut Banda, Lautan Pasifik dan Laut Timor. Titik-titik tersebut mewakili dari Arus Monsoon Indonesia dan Arus Lintas Indonesia. Hasilnya terjadi perubahan nilai SLA yang dapat dikaitkan dengan fenomena El Nino.
The dynamics of the oceans in Indonesia is one of the key climate variations in Asia. These climate variations are related to the phenomenon of El Nino and La Nina. One indicator of the phenomenon is with the change of sea level (Sea Level Anomaly). The existence of altimetry satellites that can provide continuous and continuous data can be used to observe the dynamics of the oceans. Jason-1 and Envisat satellite data aggregation is intended to address the spatial resolution of tracking of each satellite. Jason-1 and Envisat data consolidation and processing are used to determine the Sea Level Anomaly (SLA) changes at observation points in the Bangka Sea, Banda Sea, Pacific Ocean and Timor Sea. These points represent from the Indonesian Monsoon Flow and the Indonesian Cross Flow. The result is a change in the value of SLA that can be attributed to the El Nino phenomenon.
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