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...

Full description

Bibliographic Details
Published in:International Journal of Advanced Science and Technology
Main Author: Deros S.N.M.; Din N.M.; Norzeli S.; Asmat A.; Mansor S.
Format: Article
Language:English
Published: Science and Engineering Research Support Society 2019
Online Access:https://www.scopus.com/inward/record.uri?eid=2-s2.0-85081189180&partnerID=40&md5=1d643a32991bab2ba7d31391f42710bf
id 2-s2.0-85081189180
spelling 2-s2.0-85081189180
Deros S.N.M.; Din N.M.; Norzeli S.; Asmat A.; Mansor S.
Seasonal wind pattern model development for coral reef monitoring
2019
International Journal of Advanced Science and Technology
28
10

https://www.scopus.com/inward/record.uri?eid=2-s2.0-85081189180&partnerID=40&md5=1d643a32991bab2ba7d31391f42710bf
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 SERSC.
Science and Engineering Research Support Society
20054238
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 International Journal of Advanced Science and Technology
container_volume 28
container_issue 10
doi_str_mv
url https://www.scopus.com/inward/record.uri?eid=2-s2.0-85081189180&partnerID=40&md5=1d643a32991bab2ba7d31391f42710bf
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 SERSC.
publisher Science and Engineering Research Support Society
issn 20054238
language English
format Article
accesstype
record_format scopus
collection Scopus
_version_ 1809677902707425280