Determination of a localized mean sea surface model for Malaysian seas using multi-mission satellite altimeter

Mean Sea Surface (MSS) is the displacement of the sea surface in respect to a numerical model of the earth and it nearly takes after geoids. However, the coastal tide gauges provided to certain coastal areas are limited to ocean studies. Tide gauges are usually installed at coastal areas and only a...

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Main Authors: Zulkifle, M. I., Din, A. H. M., Hamden, M. H., Adzmi, N. H. M.
Format: Article
Published: Akademi Sains Malaysia 2019
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Online Access:http://eprints.utm.my/id/eprint/90297/
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spelling my.utm.902972021-04-18T04:01:39Z http://eprints.utm.my/id/eprint/90297/ Determination of a localized mean sea surface model for Malaysian seas using multi-mission satellite altimeter Zulkifle, M. I. Din, A. H. M. Hamden, M. H. Adzmi, N. H. M. HT Communities. Classes. Races Mean Sea Surface (MSS) is the displacement of the sea surface in respect to a numerical model of the earth and it nearly takes after geoids. However, the coastal tide gauges provided to certain coastal areas are limited to ocean studies. Tide gauges are usually installed at coastal areas and only a few stations have long records and adequate geographical distribution. To solve these problems, the use of Satellite Altimeter technology is required. The aim of this study was to produce a new localized mean sea surface model over Malaysian seas using multi-mission satellite altimeters from 1993 to 2017. To understand variations in SSH during the monsoon season, sea surface height climatology data were generated and the average sea surface height data were used to determine the localized MSS of Malaysian Seas. Satellite altimeters are important to producing MSS models that support oceanographic and geophysical studies such as sea level rise studies and tidal predictions. A comparison between altimetry data and tide gauge observations showed good agreement with correlations higher than 0.9 and a Root Mean Square Error (RMSE) lower than 0.1 meter. Then, a localized mean sea surface model was generated using the spatial average of SSH climatology data for a 25 year time period to obtain a high-resolution MSS model. Localized MSS is an important reference for several applications such as charting datum, sea level change, and derivation of mean dynamic topography. Akademi Sains Malaysia 2019 Article PeerReviewed Zulkifle, M. I. and Din, A. H. M. and Hamden, M. H. and Adzmi, N. H. M. (2019) Determination of a localized mean sea surface model for Malaysian seas using multi-mission satellite altimeter. ASM Science Journal, 12 (2). pp. 81-89. ISSN 1823-6782
institution Universiti Teknologi Malaysia
building UTM Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Teknologi Malaysia
content_source UTM Institutional Repository
url_provider http://eprints.utm.my/
topic HT Communities. Classes. Races
spellingShingle HT Communities. Classes. Races
Zulkifle, M. I.
Din, A. H. M.
Hamden, M. H.
Adzmi, N. H. M.
Determination of a localized mean sea surface model for Malaysian seas using multi-mission satellite altimeter
description Mean Sea Surface (MSS) is the displacement of the sea surface in respect to a numerical model of the earth and it nearly takes after geoids. However, the coastal tide gauges provided to certain coastal areas are limited to ocean studies. Tide gauges are usually installed at coastal areas and only a few stations have long records and adequate geographical distribution. To solve these problems, the use of Satellite Altimeter technology is required. The aim of this study was to produce a new localized mean sea surface model over Malaysian seas using multi-mission satellite altimeters from 1993 to 2017. To understand variations in SSH during the monsoon season, sea surface height climatology data were generated and the average sea surface height data were used to determine the localized MSS of Malaysian Seas. Satellite altimeters are important to producing MSS models that support oceanographic and geophysical studies such as sea level rise studies and tidal predictions. A comparison between altimetry data and tide gauge observations showed good agreement with correlations higher than 0.9 and a Root Mean Square Error (RMSE) lower than 0.1 meter. Then, a localized mean sea surface model was generated using the spatial average of SSH climatology data for a 25 year time period to obtain a high-resolution MSS model. Localized MSS is an important reference for several applications such as charting datum, sea level change, and derivation of mean dynamic topography.
format Article
author Zulkifle, M. I.
Din, A. H. M.
Hamden, M. H.
Adzmi, N. H. M.
author_facet Zulkifle, M. I.
Din, A. H. M.
Hamden, M. H.
Adzmi, N. H. M.
author_sort Zulkifle, M. I.
title Determination of a localized mean sea surface model for Malaysian seas using multi-mission satellite altimeter
title_short Determination of a localized mean sea surface model for Malaysian seas using multi-mission satellite altimeter
title_full Determination of a localized mean sea surface model for Malaysian seas using multi-mission satellite altimeter
title_fullStr Determination of a localized mean sea surface model for Malaysian seas using multi-mission satellite altimeter
title_full_unstemmed Determination of a localized mean sea surface model for Malaysian seas using multi-mission satellite altimeter
title_sort determination of a localized mean sea surface model for malaysian seas using multi-mission satellite altimeter
publisher Akademi Sains Malaysia
publishDate 2019
url http://eprints.utm.my/id/eprint/90297/
_version_ 1698696915558858752
score 13.160551