Regional Mean Sea Surface and Mean Dynamic Topography Models Around Malaysian Seas Developed From 27 Years of Along-Track Multi-Mission Satellite Altimetry Data

Hamden, Mohammad Hanif; Din, Ami Hassan Md; Wijaya, Dudy D.; Yusoff, Mohd Yunus Mohd; Pa’suya, Muhammad Faiz

doi:10.3389/feart.2021.665876

Cited by 16 publications

(17 citation statements)

References 34 publications

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“…The present Universiti Teknologi Malaysia 2020 Mean Sea Surface, known as UTM20 MSS model, developed by Hamden et al (2021) over Malaysian seas, is applied in this study. The UTM20 MSS model is computed based on data from nine (9) satellite missions comprising TOPEX, Jason-1, Jason-2, ERS-2, Geosat Follow On (GFO), Envisat-1, CryoSat-2, SARAL/AltiKa, and Sentinel-3A, from 1993 to 2019 (27 years).…”

Section: Along-track Altimetry Datamentioning

confidence: 99%

“…South China Sea Malacca Straits Fig. 3 The map of the UTM20 mean sea surface model (Hamden et al, 2021) The residual sea surface height is computed by removing geoid height quantities from the mean sea surface. The process of removing long-wavelength geoid height is performed using the global geoid height from satellite-only and combined GGM solutions; GO_CONS_ GCF_2_DIR_R5 and GECO model, involving the remove-compute-restore method.…”

Section: Sulu Seamentioning

confidence: 99%

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Optimised gravity anomaly fields from along-track multi-mission satellite altimeter over Malaysian seas

Yazid

Din

Omar

et al. 2022

TAO

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Marine gravity anomalies are crucial parameters and elements for determining coastal and ocean geoid, tectonics and crustal structures, as well as offshore studies. This study aims to derive and develop a marine gravity anomaly model over Malaysian seas from multi-mission altimetry data. Universiti Teknologi Malaysia 2020 Mean Sea Surface Model is computed based on along-track data from nine satellite missions, incorporating TOPEX, Jason-1, Jason-2, ERS-2, Geosat Follow on (GFO), Envisat-1, CryoSat-2, SARAL/AltiKa, and Sentinel-3A. The data exploited are from 1993 to 2019 (27 years). Residual gravity anomaly is computed using Gravity Software, and two-dimensional planar Fast Fourier Transformation method is applied. The evaluation, selection, blunder detection, combination, and re-gridding of the altimetry-derived gravity anomalies and Global Geopotential Model data are demonstrated. Cross-validation procedure is employed for data cleaning and quality control using the Kriging interpolation method. Then, cross-validation procedure is applied to the tapering window width 200, which adopting the GECO model denotes the optimum gravity anomaly with root mean square errors in the range of ± 4.2472 mGal to ± 6.0202 mGal. The findings suggest that the estimated marine gravity anomaly is acceptable to be implemented in the marine geoid determination and bathymetry estimation over Malaysian seas. In addition, the results of this study are valuable for geodetic and geophysical applications in marine areas.

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Section: Along-track Altimetry Datamentioning

confidence: 99%

Section: Sulu Seamentioning

confidence: 99%

Optimised gravity anomaly fields from along-track multi-mission satellite altimeter over Malaysian seas

Yazid

Din

Omar

et al. 2022

TAO

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“…In Peninsular Malaysia, surveying and mapping activities are referred to the Peninsular Geodetic Vertical Datum (PMGVD), which is based on 10 years of tidal observation data [21,22]. The datum was transferred from 0 at the Port Kelang tide gauge to 3.624m at a memorial monument using a combination of precise levelling and gravity survey.…”

Section: Selection Of Permanent Tidementioning

confidence: 99%

A combined regional Geopotential Model using optimized global Gravity Field Solutions

Nyoka

Din²,

Pa’suya³

et al. 2022

IOP Conf. Ser.: Earth Environ. Sci.

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To develop a gravimetric geoid, a Global Geopotential Model (GGM) is required to minimise the truncation error arising from using the Stokes integral with a limited number of gravity data points. The choice of a best-fitting GGM determines the accuracy of a gravimetric geoid solution. Selecting a suitable GGM is a rigorous process, requiring both internal and external evaluation of all GGMs available at the International Center for Globa Earth Models (ICGEM). Moreover, GGMs perform differently depending on the wavelength, and it is difficult to obtain a GGM that performs best across the full harmonic spectrum. In this study, a combined GGM is developed from a selection of the most recent and high-resolution GGMs covering Peninsular Malaysia. The selected models are first synthesized harmonically to obtain geoid undulations at collocated GNSS-levelled points, and free air anomalies at randomly sampled points across the study area. These quantities are compared with the observed geoid undulations and point gravity anomalies interpolated from a grid of free air anomalies. The best performing GGMs are then used to produce a combined GGM, by selecting the spherical harmonic coefficients with the best characteristics for every degree. The signal and error spectra of the new GGM are compared with the selected geopotential models. The combined GGM produced a higher cumulative signal to noise ratio (SNR) of 4402.669 compared to all the selected GGMs, with XGM2016 and Eigen-6C following suit with SNR of 4139.561 and 4092.462, respectively. Besides, the new combined GGM performed better across the whole harmonic spectrum than all selected GGMs. The use of combined GGMs in geoid modelling, instead of a single GGM may be more desirable because they can improve the quality of results.

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“…The measurement of the sea surface height is the concept of satellite altimeter, which can be determined from the time back and forth of the microwave pulse emitted by the satellite altimeter to the sea surface, and the power of the microwave pulse radiation is acknowledged (Chelton et al, 2001;Din et al, 2014;Zulkifle et al, 2019;Hamden et al, 2021). The primary measurement taken by the satellite altimeter is the measurement range, satellite height above the sea surface height as well as the altitude of the satellite with relation to the ellipsoid (orbital height).…”

Section: < Accepted Manuscript >mentioning

confidence: 99%

“…descending tracks at a crossover location (Hamid et al, 2018;Hamden et al, 2021). Subsequently, data filtering and data gridding are also implemented.…”

Section: < Accepted Manuscript >mentioning

confidence: 99%

Estimating bathymetry from multi-mission satellite altimetry data using Gravity-Geologic Method over Malaysian Seas

Tugi¹,

Din²,

Yazid³

et al. 2021

Terr. Atmos. Ocean. Sci.

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The conventional bathymetry survey uses a single beam echo sounder (SBES) and multi-beam echo sounder (MBES). However, this technique is challenging to map large ocean areas due to complexity, cost, and time-consuming. This study aims to estimate the multi-mission satellite altimetry bathymetry across the Malaysian Seas. Six satellite altimeter missions with 11 years of data have been utilised to derive mean sea surface height (MSSH).The Gravity-Geologic Method, a conventional terrain inversion method based on gravity data, is employed in this study to estimate bathymetry using a density contrast of 1.67 g/cm 3 . The gravity-Geologic method utilises gravity effects to be converted into bathymetry by using an inversion process. The density contrast between the bedrock and the seawater influences the predicted bathymetry. Regional gravity was removed from the observed gravity in order to determine the short-wavelength gravity effects by using the control depths from the shipborne measurements. The findings were validated and compared with shipborne bathymetry data from the National Geophysical Data Centre (NGDC) and Global Bathymetry Models. The estimated bathymetry correlation analysis, R, showed the highest values recorded with 0.9942. These findings reveal that the estimated bathymetry using the Gravity-Geologic Method seems to improve the accuracy of the bathymetry by 69% when compared with the ETOPO1 global bathymetry model. Nonetheless, the estimated bathymetry records 38% improvement when compared to the DTU10 global bathymetry model. The final estimated bathymetry model in this study is known as the UTM18 Bathymetry Model.

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Regional Mean Sea Surface and Mean Dynamic Topography Models Around Malaysian Seas Developed From 27 Years of Along-Track Multi-Mission Satellite Altimetry Data

Cited by 16 publications

References 34 publications

Optimised gravity anomaly fields from along-track multi-mission satellite altimeter over Malaysian seas

Optimised gravity anomaly fields from along-track multi-mission satellite altimeter over Malaysian seas

A combined regional Geopotential Model using optimized global Gravity Field Solutions

Estimating bathymetry from multi-mission satellite altimetry data using Gravity-Geologic Method over Malaysian Seas

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