MEAN SEA SURFACE (MSS) MODEL DETERMINATION FOR MALAYSIAN SEAS USING MULTI-MISSION SATELLITE ALTIMETER

• Published in: International archives of the photogrammetry, remote sensing and spatial information sciences. Vol. XLII-4/W1; pp. 247 - 252
• 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.
• Format: Journal Article Conference Proceeding
• Language: English
• Published: Gottingen Copernicus GmbH 29.09.2016; Copernicus Publications
• Subjects: Altimeters; Banks (topography); Bathymetry; Climatology; Data base management systems; Dynamic topography; Geophysical studies; Geophysics; Radar; Radar altimeters; Satellites; Sea level; Sea surface; Slope; Temperature (air-sea); TOPEX; Topography; Topography (geology)
• ISSN: 2194-9034; 1682-1750; 2194-9034
• DOI: 10.5194/isprs-archives-XLII-4-W1-247-2016

The advancement of satellite altimeter technology has generated many evolutions to oceanographic and geophysical studies. A multi-mission 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.