| Summary: | 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
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