IMPROVING THE ACCURACY OF MARINE GRAVITY ANOMALY DATA FROM COMBINATION OF SHIPBORNE GRAVITY AND GLOBAL MARINE GRAVITY DERIVED FROM SATELLITE ALTIMETRY

• Published in: Journal of Sustainability Science and Management
• Main Author: Pa’Suya M.F.; Din A.H.M.; Yazid N.M.; Omar A.H.
• Format: Article
• Language: English
• Published: Universiti Malaysia Terengganu 2023
• Online Access: https://www.scopus.com/inward/record.uri?eid=2-s2.0-85185290030&doi=10.46754%2fjssm.2023.12.010&partnerID=40&md5=97933fb63b47988d478ab1788b377cc8

Currently, utilising satellite altimetry data to derive marine gravity anomalies is the preferred method due to its low cost and ability to cover large areas efficiently. However, accurately obtaining altimeter-derived gravity anomalies in coastal regions remains challenging. This paper aims to improve the accuracy of global marine gravity data in Peninsular Malaysia’s marine areas by incorporating both altimetry-derived and ship-track gravity data. After filtering 39756 marine ship-borne gravity observations with a 95% confidence level and using cross-validation to identify errors, 24142 gravity points were eliminated, resulting in a decrease in the standard deviation (STD) from 40.600 mGal to 15.663 mGal. Four (4) existing global marine gravity models were evaluated using the filtered ship-borne datasets, and the DTU model version 17 was deemed the optimal model with an RMSE of 10.762 mGal. The least-squares collocation method was used to integrate the gravity data from the ship-borne datasets with the DTU17 model. Validation of the new marine gravity model, which included 50 ship gravity data points, showed a significant improvement with an RMSE of 2.192 mGal. © UMT Press