Mean sea surface (MSS) model determination for Malaysian seas using multi-mission satellite altimeter

• Main Authors: Yahaya, N. A. Z., Musa, T. A., Omar, K. M., Din, A. H. M., Omar, A. H., Tugi, A., Yazid, N. M., Abdullah, N. M., Wahab, M. I. A.
• 格式: Conference or Workshop Item
• 出版: International Society for Photogrammetry and Remote Sensing 2016
• 主题: G70.212-70.215 Geographic information system
• 在线阅读: http://eprints.utm.my/id/eprint/73059/; https://www.scopus.com/inward/record.uri?eid=2-s2.0-84993960674&doi=10.5194%2fisprs-archives-XLII-4-W1-247-2016&partnerID=40&md5=a4c7b19e823f6324faa9be2df8941dad

The advancement of satellite altimeter technology has generated many evolutions to oceanographic and geophysical studies. A multimission satellite altimeter consists with TOPEX, Jason-1 and Jason-2, ERS-2, Envisat-1, CryoSat-2 and Saral are extracted in this study and has been processed using Radar Altimeter Database System (RADS) for the period of January 2005 to December 2015 to produce the sea surface height (hereinafter referred to SSH). The monthly climatology data from SSH is generated and averaged to understand the variation of SSH during monsoon season. Then, SSH data are required to determine the localised and new mean sea surface (MSS). The differences between Localised MSS and DTU13 MSS Global Model is plotted with root mean square error value is 2.217 metres. The localised MSS is important towards several applications for instance, as a reference for sea level variation, bathymetry prediction and derivation of mean dynamic topography.