1Department of Oceanography, Diponegoro University, Indonesia
2Department of Geography, Faculty of Social Science, Srinakharinwirot University, Thailand
BibTex Citation Data :
@article{IK.IJMS37481, author = {Purwanto Purwanto and Denny Sugianto and Muhammad Zainuri and Galuh Permatasari and Warsito Atmodjo and Baskoro Rochaddi and Aris Ismanto and Parichat Wetchayont and Anindya Wirasatriya}, title = {Seasonal Variability of Waves Within the Indonesian Seas and Its Relation With the Monsoon Wind}, journal = {ILMU KELAUTAN: Indonesian Journal of Marine Sciences}, volume = {26}, number = {3}, year = {2021}, keywords = {significant wave height; swell; wind wave; surface wind; Indonesian seas}, abstract = { The previous studies have simulated the variability of the wave within the Indonesian seas which showed that the variability of wave follows the seasonal pattern. However, their analysis only consider the influence of local wind forcings. The bias and error of their simulated wave were also unclear. In the present study, we investigate the variability of wave within the Indonesian seas and its relation with the surface wind speed using the combination of reanalysis and remote sensing data with high accuracies. We split the analysis into swell and wind wave to obtain the influence of local and remote wind forcings. We show that at the inner seas (i.e., the South China Sea, Java Sea, Flores Sea, Banda Sea and Arafura Sea), the variability of significant wave height (SWH) is majorly influenced by the variability of the speed of monsoon wind. The maximum SWH during Northwest monsoon (NWM) season is located at the South China Sea while during Southeast monsoon (SEM) season is at Arafura Sea. This indicates that the wind wave (sea) is dominant at the inner seas. At the open seas (i.e., Pacific Ocean and Indian Ocean) the variability of SWH less corresponds to the the speed of monsoon wind. The remote wind forcings control the wave variability in the open ocean area. This indicates that swell is dominant at the open seas. In general, the magnitude of SWH swell is also more than SWH sea within the Indonesian seas. }, issn = {2406-7598}, pages = {189--196} doi = {10.14710/ik.ijms.26.3.189-196}, url = {https://ejournal.undip.ac.id/index.php/ijms/article/view/37481} }
Refworks Citation Data :
The previous studies have simulated the variability of the wave within the Indonesian seas which showed that the variability of wave follows the seasonal pattern. However, their analysis only consider the influence of local wind forcings. The bias and error of their simulated wave were also unclear. In the present study, we investigate the variability of wave within the Indonesian seas and its relation with the surface wind speed using the combination of reanalysis and remote sensing data with high accuracies. We split the analysis into swell and wind wave to obtain the influence of local and remote wind forcings. We show that at the inner seas (i.e., the South China Sea, Java Sea, Flores Sea, Banda Sea and Arafura Sea), the variability of significant wave height (SWH) is majorly influenced by the variability of the speed of monsoon wind. The maximum SWH during Northwest monsoon (NWM) season is located at the South China Sea while during Southeast monsoon (SEM) season is at Arafura Sea. This indicates that the wind wave (sea) is dominant at the inner seas. At the open seas (i.e., Pacific Ocean and Indian Ocean) the variability of SWH less corresponds to the the speed of monsoon wind. The remote wind forcings control the wave variability in the open ocean area. This indicates that swell is dominant at the open seas. In general, the magnitude of SWHswell is also more than SWHsea within the Indonesian seas.
Article Metrics:
Last update:
Evaluating Wave Potential and Assessing the Economic Viability of Wave Energy Converters in the South Java Seas
Two dimensional Hydrodynamic Simulation in Labuan Bajo Waters, Indonesia.
Wave climate characteristics and effects of tropical cyclones on high wave occurrences in Indonesian waters: Strengthening sea transportation safety management
Hydrodynamics across seagrass meadows and its impacts on Indonesian coastal ecosystems: A review
Karakteristik Arus Laut Permukaan dari High Frequency Radar pada Musim Timur di Selat Bali
Flood Susceptibility Mapping Using Logistic Regression Analysis In Lam Khan Chu Watershed, Chaiyaphum Province, Thailand
Last update: 2024-04-23 07:23:59
Copy this form and after filling it, please send it to ijms@live.undip.ac.id:
COPYRIGHT TRANSFER STATEMENT
When this article is accepted for publication, its copyright is transferred to ILMU KELAUTAN Indonesian Journal of Marine Sciences, UNDIP. The copyright transfer covers the non exclusive right to reproduce and distribute the article, including reprints, translations, photographic reproductions, microform, electronic form (offline, online) or any other reproductions of similar nature.
The author warrants that this article is original and that the author has full power to publish. The author signs for and accepts responsibility for releasing this material on behalf of any and all co-authors. In regard to all kind of plagiarism in this manuscript, if any, only the author(s) will take full responsibility. If the article is based on or part of student’s skripsi, thesis or dissertation, the student needs to sign as his/her agreement that his/her works is going to be published.
Title of article :...........................................................................................................................Name of Author(s) :...........................................................................................................................Author’s signature :...........................................................................................................................Date :...........................................................................................................................
