Analysis of ocean wave characteristic in Western Indonesian Seas using wave spectrum model
Understanding the characteristics of the ocean wave in Indonesian Seas particularly in western Indonesian Seas is crucial to establish secured marine activities in addition to construct well-built marine infrastructures. Three-years-data (July 1996 - 1999) simulated from Simulating Waves Nearshore (...
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Series: | MATEC Web of Conferences |
Online Access: | https://doi.org/10.1051/matecconf/201814705001 |
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doaj-ba5cefc009914b7396d16a51f7cd4ba52021-02-02T02:45:53ZengEDP SciencesMATEC Web of Conferences2261-236X2018-01-011470500110.1051/matecconf/201814705001matecconf_sibe2018_05001Analysis of ocean wave characteristic in Western Indonesian Seas using wave spectrum modelRachmayani RimaNingsih Nining SariRamadhan HaniNurfitri SuliskaniaUnderstanding the characteristics of the ocean wave in Indonesian Seas particularly in western Indonesian Seas is crucial to establish secured marine activities in addition to construct well-built marine infrastructures. Three-years-data (July 1996 - 1999) simulated from Simulating Waves Nearshore (SWAN) model were used to analyze the ocean wave characteristics and variabilities in eastern Indian Ocean, Java Sea, and South China Sea. The interannual or seasonal variability of the significant wave height is affected by the alteration of wind speed and direction. Interactions between Indian Ocean Dipole Mode (IODM), El Niño Southern Oscillation (ENSO) and monsoon result in interannual ocean wave variability in the study areas. Empirical Orthogonal Functions (EOF) analysis produces 6 modes represents 95% of total variance that influence the wave height variability in the entire model domain. Mode 1 was dominated by annual monsoon and has spatial dominant contribution in South China Sea effected by ENSO and Indian Ocean influenced by IODM. Java Sea was influenced by Mode 2 which is controlled by semi-annual monsoon and IODM. A positive (negative) IODM strengthens (weakens) the winds speed in Java Sea during the East (West) season and hence contributes to Mode 2 in increasing (decreasing) the significant wave in Java Sea.https://doi.org/10.1051/matecconf/201814705001 |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Rachmayani Rima Ningsih Nining Sari Ramadhan Hani Nurfitri Suliskania |
spellingShingle |
Rachmayani Rima Ningsih Nining Sari Ramadhan Hani Nurfitri Suliskania Analysis of ocean wave characteristic in Western Indonesian Seas using wave spectrum model MATEC Web of Conferences |
author_facet |
Rachmayani Rima Ningsih Nining Sari Ramadhan Hani Nurfitri Suliskania |
author_sort |
Rachmayani Rima |
title |
Analysis of ocean wave characteristic in Western Indonesian Seas using wave spectrum model |
title_short |
Analysis of ocean wave characteristic in Western Indonesian Seas using wave spectrum model |
title_full |
Analysis of ocean wave characteristic in Western Indonesian Seas using wave spectrum model |
title_fullStr |
Analysis of ocean wave characteristic in Western Indonesian Seas using wave spectrum model |
title_full_unstemmed |
Analysis of ocean wave characteristic in Western Indonesian Seas using wave spectrum model |
title_sort |
analysis of ocean wave characteristic in western indonesian seas using wave spectrum model |
publisher |
EDP Sciences |
series |
MATEC Web of Conferences |
issn |
2261-236X |
publishDate |
2018-01-01 |
description |
Understanding the characteristics of the ocean wave in Indonesian Seas particularly in western Indonesian Seas is crucial to establish secured marine activities in addition to construct well-built marine infrastructures. Three-years-data (July 1996 - 1999) simulated from Simulating Waves Nearshore (SWAN) model were used to analyze the ocean wave characteristics and variabilities in eastern Indian Ocean, Java Sea, and South China Sea. The interannual or seasonal variability of the significant wave height is affected by the alteration of wind speed and direction. Interactions between Indian Ocean Dipole Mode (IODM), El Niño Southern Oscillation (ENSO) and monsoon result in interannual ocean wave variability in the study areas. Empirical Orthogonal Functions (EOF) analysis produces 6 modes represents 95% of total variance that influence the wave height variability in the entire model domain. Mode 1 was dominated by annual monsoon and has spatial dominant contribution in South China Sea effected by ENSO and Indian Ocean influenced by IODM. Java Sea was influenced by Mode 2 which is controlled by semi-annual monsoon and IODM. A positive (negative) IODM strengthens (weakens) the winds speed in Java Sea during the East (West) season and hence contributes to Mode 2 in increasing (decreasing) the significant wave in Java Sea. |
url |
https://doi.org/10.1051/matecconf/201814705001 |
work_keys_str_mv |
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1724309302708011008 |