Improving the accuracy of marine gravity anomaly data from combination of shipborne gravity and global marine gravity derived from satellite altimetry

Muhammad Faiz Pa’suya, . and Ami Hassan Md Din, . and Nornajihah Mohammad Yazid, . and Abdullah Hisham Omar, . (2023) Improving the accuracy of marine gravity anomaly data from combination of shipborne gravity and global marine gravity derived from satellite altimetry. Journal of Sustainability Science and Management (Malaysia), 18 (12). pp. 111-122. ISSN 2672-7226

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 39,756 marine ship-borne gravity observations with a 95% confidence level and using cross-validation to identify errors, 24,142 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.

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Abstract

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 39,756 marine ship-borne gravity observations with a 95% confidence level and using cross-validation to identify errors, 24,142 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.

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Item Type:	Article
AGROVOC Term:	coastal areas
AGROVOC Term:	gravity anomalies
AGROVOC Term:	satellite altimetry
AGROVOC Term:	ocean floor
AGROVOC Term:	imagery
AGROVOC Term:	marine debris
AGROVOC Term:	statistical methods
AGROVOC Term:	geoid anomalies
Geographical Term:	Malaysia
Depositing User:	Mr. Khoirul Asrimi Md Nor
Date Deposited:	28 Oct 2025 15:31
Last Modified:	28 Oct 2025 15:32
URI:	http://webagris.upm.edu.my/id/eprint/2177

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