Seasonal wind pattern model development for coral reef monitoring

Wind pattern model development is vital for coral reef monitoring due to its dependency on sea surface wind. Wind in Malaysia is influenced primarily by four monsoon season; Northeast and Southwest monsoon with two transition period; April and October inter monsoon and categorized as low wind with a...

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Published in:Test Engineering and Management
Main Author: Deros S.N.M.; Din N.M.; Norzeli S.; Asmat A.; Mansor S.
Format: Article
Language:English
Published: Mattingley Publishing 2019
Online Access:https://www.scopus.com/inward/record.uri?eid=2-s2.0-85081668995&partnerID=40&md5=b20d2b8855830682f14d2d98687654c7
id 2-s2.0-85081668995
spelling 2-s2.0-85081668995
Deros S.N.M.; Din N.M.; Norzeli S.; Asmat A.; Mansor S.
Seasonal wind pattern model development for coral reef monitoring
2019
Test Engineering and Management
81
11-Dec

https://www.scopus.com/inward/record.uri?eid=2-s2.0-85081668995&partnerID=40&md5=b20d2b8855830682f14d2d98687654c7
Wind pattern model development is vital for coral reef monitoring due to its dependency on sea surface wind. Wind in Malaysia is influenced primarily by four monsoon season; Northeast and Southwest monsoon with two transition period; April and October inter monsoon and categorized as low wind with annual mean speed of 3-5 m/s. Current wind study utilized limited wind data hence neglects the seasonal characteristics of wind behaviour in wind pattern model simulation. In this study, the Mixed-Layer Conveyor (MLC) model was adopted to simulate wind parameters such as wind speed distribution, direction, days in distinct monsoon to derive cumulative wind of distinct season. This can be used to describe wind behaviour of distinct monsoon season on coral reef growth. Result shows that the derived cumulative wind fit with an actual wind data (0.89). The model developed has an ability to derive seasonal wind cumulative productivity data to be used in estimation of the highest wind and lowest wind production. © 2019 Mattingley Publishing. All rights reserved.
Mattingley Publishing
1934120
English
Article

author Deros S.N.M.; Din N.M.; Norzeli S.; Asmat A.; Mansor S.
spellingShingle Deros S.N.M.; Din N.M.; Norzeli S.; Asmat A.; Mansor S.
Seasonal wind pattern model development for coral reef monitoring
author_facet Deros S.N.M.; Din N.M.; Norzeli S.; Asmat A.; Mansor S.
author_sort Deros S.N.M.; Din N.M.; Norzeli S.; Asmat A.; Mansor S.
title Seasonal wind pattern model development for coral reef monitoring
title_short Seasonal wind pattern model development for coral reef monitoring
title_full Seasonal wind pattern model development for coral reef monitoring
title_fullStr Seasonal wind pattern model development for coral reef monitoring
title_full_unstemmed Seasonal wind pattern model development for coral reef monitoring
title_sort Seasonal wind pattern model development for coral reef monitoring
publishDate 2019
container_title Test Engineering and Management
container_volume 81
container_issue 11-Dec
doi_str_mv
url https://www.scopus.com/inward/record.uri?eid=2-s2.0-85081668995&partnerID=40&md5=b20d2b8855830682f14d2d98687654c7
description Wind pattern model development is vital for coral reef monitoring due to its dependency on sea surface wind. Wind in Malaysia is influenced primarily by four monsoon season; Northeast and Southwest monsoon with two transition period; April and October inter monsoon and categorized as low wind with annual mean speed of 3-5 m/s. Current wind study utilized limited wind data hence neglects the seasonal characteristics of wind behaviour in wind pattern model simulation. In this study, the Mixed-Layer Conveyor (MLC) model was adopted to simulate wind parameters such as wind speed distribution, direction, days in distinct monsoon to derive cumulative wind of distinct season. This can be used to describe wind behaviour of distinct monsoon season on coral reef growth. Result shows that the derived cumulative wind fit with an actual wind data (0.89). The model developed has an ability to derive seasonal wind cumulative productivity data to be used in estimation of the highest wind and lowest wind production. © 2019 Mattingley Publishing. All rights reserved.
publisher Mattingley Publishing
issn 1934120
language English
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