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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Main Authors: Rachmayani Rima, Ningsih Nining Sari, Ramadhan Hani, Nurfitri Suliskania
Format: Article
Language:English
Published: EDP Sciences 2018-01-01
Series:MATEC Web of Conferences
Online Access:https://doi.org/10.1051/matecconf/201814705001
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spelling 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
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AT ningsihniningsari analysisofoceanwavecharacteristicinwesternindonesianseasusingwavespectrummodel
AT ramadhanhani analysisofoceanwavecharacteristicinwesternindonesianseasusingwavespectrummodel
AT nurfitrisuliskania analysisofoceanwavecharacteristicinwesternindonesianseasusingwavespectrummodel
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