Abstract

Abstract. The Earth’s potential information is important for exploration of the Earth’s gravity field. The techniques of measuring the Earth’s gravity using the terrestrial and ship borne technique are time consuming and have limitation on the vast area. With the space-based measuring technique, these limitations can be overcome. The satellite gravity missions such as Challenging Mini-satellite Payload (CHAMP), Gravity Recovery and Climate Experiment (GRACE), and Gravity-Field and Steady-State Ocean Circulation Explorer Mission (GOCE) has introduced a better way in providing the information on the Earth’s gravity field. From these satellite gravity missions, the Global Geopotential Models (GGMs) has been produced from the spherical harmonics coefficient data type. The information of the gravity anomaly can be used to predict the bathymetry because the gravity anomaly and bathymetry have relationships between each other. There are many GGMs that have been published and each of the models gives a different value of the Earth’s gravity field information. Therefore, this study is conducted to assess the most reliable GGM for the Malaysian Seas. This study covered the area of the marine area on the South China Sea at Sabah extent. Seven GGMs have been selected from the three satellite gravity missions. The gravity anomalies derived from the GGMs are compared with the airborne gravity anomaly, in order to figure out the correlation (R2) and the root mean square error (RMSE) of the data. From these assessments, the most suitable GGMs for the study area is GOCE model, GO_CONS_GCF_2_TIMR4 with the R2 and RMSE value of 0.7899 and 9.886 mGal, respectively. This selected model will be used in the estimating the bathymetry for Malaysian Seas in future.

Highlights

  • The advancement of the technologies in determining the Earth’s gravity field has contributed to the broad exploration of the quality of the recent global gravity field

  • All of the seven selected Global Geopotential Models (GGMs) were mapped by using the Matlab software in order to depict the undulation or the trend of the gravity anomaly for Malaysian Seas

  • The positive gravity anomaly value denotes that the gravity anomaly is above the ellipsoid surface, the negative gravity anomaly represents the value that is below the ellipsoid surface

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Summary

Introduction

The advancement of the technologies in determining the Earth’s gravity field has contributed to the broad exploration of the quality of the recent global gravity field. The Earth’s gravity field can be explored at scales down to hundreds and thousands of kilometres This technique has some limitations in retrieving gravity field due to the low sensitivity of the high degree geopotential spherical harmonic coefficient caused by a strong signal attenuation with altitude (Heiskanen & Moritz, 1967; Karpik et al, 2016). The data derived by the GGM can provide a better long and medium wavelength part of the gravimetric geoid in terms of the quality of data which is accuracy and resolution (Sadiq & Ahmad, 2009). The evaluation of the GGM being piloted in order to test the most suitable global model as an input data towards the bathymetry estimation for the Malaysian Seas from the gravity anomaly data around the water area

Satellite Gravity Mission
Global Geopotential Models
Gravity Anomaly Definition and Concept
Relationship between Gravity Anomaly and Depth
Study Area
Data Analysis and Methodology
Data Processing
AIUB-GRACE02S
Gravity Anomaly Map from GGM Models
Combination of the Gravity Anomaly from Airborne and GGM
Correlation between the airborne gravity anomaly and GGM
Statistical analysis between the airborne data and GGM gravity anomaly
Pattern between Gravity Anomaly and Bathymetry data
CONCLUSION
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