Gravimetric geoid modeling in the northern region of Peninsular Malaysia (NGM17) using KTH method

Pa’suya, Muhammad Faiz; YUSOF, NUR NADIAH MD; Din, Ami Hassan Md; Othman, Amir Hamzah; Som, Z A A; Amin, Zulkarnaini Mat; Aziz, Mohamad Azril Che; Samad, Mohd Adhar Abd

doi:10.1088/1755-1315/169/1/012089

Cited by 5 publications

(5 citation statements)

References 7 publications

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“…In this study, a grid spacing of 1'x1' has been employed to grid the gravity data, resulting in a gravimetric geoid with the same grid spacing. Several approaches for combining and gridding gravity data have been discussed in previous studies by Featherstone and Kirby [32], Goos et al [33], McCubbine et al [34], and Pa'suya et al [15]. However, for this study, the approach proposed by McCubbine et al [34] and Pa'suya et al [15] has been implemented.…”

Section: Geoid Computation Utilising the Kth Methodsmentioning

confidence: 99%

“…Several approaches for combining and gridding gravity data have been discussed in previous studies by Featherstone and Kirby [32], Goos et al [33], McCubbine et al [34], and Pa'suya et al [15]. However, for this study, the approach proposed by McCubbine et al [34] and Pa'suya et al [15] has been implemented. Detailed information regarding this strategy can be found in both studies.…”

Section: Geoid Computation Utilising the Kth Methodsmentioning

confidence: 99%

“…The KTH method differs from other approaches which directly incorporate gravity anomalies without reduction [14]. Instead, it modifies an initial geoid approximation to minimise modelling errors [15]. This method determines least-square parameters to minimise overall errors, thereby mitigating the impact of geoid modelling inaccuracies [16].…”

Section: Introductionmentioning

confidence: 99%

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Evaluating the Impact of the Recent Combined and Satellite-Only Global Geopotential Model on the Gravimetric Geoid Model

Azmin,

Pa’suya,

Din

et al. 2024

IOP Conf. Ser.: Earth Environ. Sci.

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Geoid represents Earth’s surface, ocean, and gravitational field, which influence the elevations, shape, and mass distribution of the geopotential surface, a hypothetical surface that is perpendicular to the direction of gravity at every point. This geopotential surface serves as a reference for measuring elevations and is used as a fundamental reference surface for geodetic and surveying purposes. In this study, the Least Squares Modification of Stokes Formula (LSMS) with Additive Corrections (AC), also known as the KTH method, is used to generate a new gravimetric geoid model for Peninsular Malaysia. The KTH method was developed at the Royal Institute of Technology (KTH) in Stockholm-Sweden. The dataset used is the most recent global digital elevation model, Shuttle Radar Topography Mission (SRTM) 1 Arc-Second Global, generated by the National Aeronautics and Space Administration (NASA) and the National Imagery and Mapping Agency (NIMA). In addition to this elevation data, the dataset includes the Global Geopotential Model (GGM), which is composed of the XGM2016, XGM2019e, Tongji_GGMG2021S, and Tongji-Grace02k models. Furthermore, it incorporates sets of regional gravity data, including terrestrial gravity, airborne gravity, and marine gravity anomalies, all of which are derived from the Technical University of Denmark (DTU 21). The actual 45 Global Navigation Satellite System (GNSS)-levelling points data have been compared to the gravimetric geoid model developed in this study and the geoid acquired from Department of Survey and Mapping Malaysia (DSMM). According to the statistical results, NXGM2019e provides better accuracy, with the Root Mean Square Error (RMSE) geoid model errors of ±0.033 m, compared to the deviations in free-air anomalies, XGM2019e, which has the minimum RMSE of 10.291 mGal. Meanwhile, Tongji-GMMG2021S has the maximum RMSE of 14.792 mGal. The geoid is derived from the XGM2019e model and has maximum and minimum values of 0.032 m and 0.147 m, respectively, with mean residuals of 0.089 m. In conclusion, the XGM2019e has the potential to determine a precise local geoid model for Peninsular Malaysia

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Section: Geoid Computation Utilising the Kth Methodsmentioning

confidence: 99%

Section: Geoid Computation Utilising the Kth Methodsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Evaluating the Impact of the Recent Combined and Satellite-Only Global Geopotential Model on the Gravimetric Geoid Model

Azmin,

Pa’suya,

Din

et al. 2024

IOP Conf. Ser.: Earth Environ. Sci.

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“…The geoid height computation is carried out by replacing the gravity anomaly (∆g) and Laplace harmonic gravity anomaly (∆gn) with observed or computed gravity anomaly (∆g 0 ) and gravity anomaly derived from Global Geopotential Model (∆gGGM). The indicated data are specified to the area of integration to a spherical cap of the geocentric angle and the upper limit of the GGM to degree M. Therefore, as defined by [20] the geoid height (N) can be determined based on the Stokes' modification function with additives corrections (best known as the Least Square Modifications of Stoke with Additives Corrections (LSMSA)) and summarised in Eq. ( 1):…”

Section: Fig 2 -United Nations On Sustainable Development Goals [7]mentioning

confidence: 99%

Assessment of Global Geopotential Models for Modelling Malaysia Marine Geoid

Yahaya¹,

Din²,

Omar³

et al. 2022

IJIE

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The evaluation towards global geopotential models represents a significant part in modelling the localised Marine Geoid. The marine geoid provides the vertical reference information in Marine Spatial Data Infrastructures (MSDI) development response to United Nations Sustainable Development Goals 14 for the sustainable development in marine environment. The main purpose of this study is to select the best model from both combined missions and satellite-only missions for the Malaysian region. The gravity anomaly field from 30 global models were exclusively calculated over the selected study area within 11 years period-time. Afterwards, each dataset was extracted from the ICGEM server to evaluate with the airborne-derived gravity anomaly from the Department of Surveying and Mapping, Malaysia. The internal accuracy, root mean square error (RMSE) and differences between every model and airborne data were computed. The result indicates GGM-derived gravity anomaly for the best combined mission is GECO with RMSE of 8.44 mGal and the standard deviation value of 28.034 mGal. While, the model from Gravity field and steady state Ocean Circulation Explorer (GOCE) namely, the GO_CONS_GCF_2_DIR_R5 is the best for the satellite-only mission with RMSE of 17.43 mGal and the standard deviation value of 22.828 mGal. As a conclusion, GECO model is preferred as the best fit for determining the marine geoid as it has the lowest RMSE value between both mission and the maximum degree of 2109ocoverage. The finding can assist in development of marine geoid for modelling precise surface elevation.

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“…The precision of the full gravimetric geoid heights, however, is limited by the fit of the reference model to the geoid. Indeed, the better the model is able to generate geoid heights, N, and geoid differences, ∆N, the higher the precision of the full gravimetric solution (Jalal et al, 2019;Pa'Suya et al, 2018). A regional reference normal ellipsoid can therefore enable the derivation of more precise regional time variable geoid models.…”

Section: Introductionmentioning

confidence: 99%

A level Ellipsoid for modelling regional Gravity Field

Chivatsi,

Md,

Pa'suya

2023

Preprint

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Modern, very precise gravity models are now being created in the discipline of geodesy, using purely satellite techniques. Thanks to the GOCE and GRACE missions, high quality global gravitational models have been computed and made available to users. The models allow for the derivation of gravity field functionals when coupled with reference equipotential normal ellipsoids, such as GRS80 and WGS84. These ellipsoids represent the global fit to the geoid, but may depart from the geoid in local circumstances. The precision of computed gravimetric field functionals depends on the fit of the reference model to the geoid. In this study, a regional normal ellipsoid that fits the local geoid is computed from terrestrial data, using both ordinary and combined least squares optimization techniques, applying the theory of equipotential ellipsoid. Results from the combined model were used to compute the geometrical and physical constants of the new ellipsoid A normal ellipsoid, with semi-major axis of 6378145.549089m and flattening, 269.792502072 and the same mass and angular velocity as the earth was obtained. These parameters can be used with a geopotential model to yield smoother gravity field functionals, for use in geoid modelling and other geoscience applications.

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Gravimetric geoid modeling in the northern region of Peninsular Malaysia (NGM17) using KTH method

Cited by 5 publications

References 7 publications

Evaluating the Impact of the Recent Combined and Satellite-Only Global Geopotential Model on the Gravimetric Geoid Model

Evaluating the Impact of the Recent Combined and Satellite-Only Global Geopotential Model on the Gravimetric Geoid Model

Assessment of Global Geopotential Models for Modelling Malaysia Marine Geoid

A level Ellipsoid for modelling regional Gravity Field

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