Mean Sea Surface (Mss) Model Determination for Malaysian Seas Using Multi-Mission Satellite Altimeter

Yahaya, Noor Anim Zanariah; Musa, Tajul Ariffin; Omar, Kamaludin Mohd; Din, Ami Hassan Md; Omar, Abdul Hafidz; Tugi, Astina; Yazid, Nornajihah Mohammad; Abdullah, Norfadhilatuladha; Wahab, Mohamad Ikbar Abdul

doi:10.5194/isprs-archives-xlii-4-w1-247-2016

Cited by 5 publications

(8 citation statements)

References 17 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…This includes rendering and removing invalid data as well as generating the corresponding refined geophysical corrections. Most of the range and geophysical corrections applied for this model are underpinned and guided by user manuals and progressive experiences from previous studies (Scharroo et al, 2013;Din et al, 2014;Yahaya et al, 2016;Hamid et al, 2018;Din et al, 2019;Zulkifle et al, 2019). Supplementary Table S1 differentiates a list of range and geophysical corrections implemented by Yahaya et al (2016), Zulkifle et al (2019), and UTM20 MSS.…”

Section: Data Sources and Pre-processingmentioning

confidence: 99%

“…Most of the range and geophysical corrections applied for this model are underpinned and guided by user manuals and progressive experiences from previous studies (Scharroo et al, 2013;Din et al, 2014;Yahaya et al, 2016;Hamid et al, 2018;Din et al, 2019;Zulkifle et al, 2019). Supplementary Table S1 differentiates a list of range and geophysical corrections implemented by Yahaya et al (2016), Zulkifle et al (2019), and UTM20 MSS. Most geophysical corrections and models applied are similar to previous regional models except for load and ocean tides.…”

Section: Data Sources and Pre-processingmentioning

confidence: 99%

“…An interpolation technique is performed to create the MSS model grid after applying crossover adjustment. Based on the previous regional MSS model, both models developed by Yahaya et al (2016) and Zulkifle et al (2019) applied the inverse distance weighting (IDW) technique for MSS data gridding. Although Jin et al (2016) and Yuan et al (2020) stated that the least square collocation (LSC) is the most suitable method for gridding, this study implements ordinary kriging for the regional UTM20 MSS model.…”

Section: Determination Of the Utm20 Mean Sea Surfacementioning

confidence: 99%

“…This is due to the proximity to lands and islands as well as large tidal errors in altimetry measurements. The first model was developed by Yahaya et al (2016), in which MSS has been generated by utilizing an average of 11 years of SSH climatology data covering from 1993 to 2016. The data were deduced from seven satellite missions, namely, T/P, Jason-1, Jason-2, ERS-2, Envisat-1, CryoSat-2, and SARAL/AltiKa.…”

Section: Introductionmentioning

confidence: 99%

“…Accordingly, both models mentioned above have a spatial resolution of 0.25 arc degree gridded points in which the interpolation of MSS or geoid signal occurs over a region of 25 km by 25 km in size. However, this has resulted in a misfit between the first local MSS and DTU13 MSS models, which reaches up to 2 m (Yahaya et al, 2016). Such issues can be explicitly attributed to interpolation errors.…”

Section: Introductionmentioning

confidence: 99%

See 4 more Smart Citations

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

et al. 2021

View full text Add to dashboard Cite

Contemporary Universiti Teknologi Malaysia 2020 Mean Sea Surface (UTM20 MSS) and Mean Dynamic Topography (UTM20 MDT) models around Malaysian seas are introduced in this study. These regional models are computed via scrutinizing along-track sea surface height (SSH) points and specific interpolation methods. A 1.5-min resolution of UTM20 MSS is established by integrating 27 years of along-track multi-mission satellite altimetry covering 1993–2019 and considering the 19-year moving average technique. The Exact Repeat Mission (ERM) collinear analysis, reduction of sea level variability of geodetic mission (GM) data, crossover adjustment, and data gridding are presented as part of the MSS computation. The UTM20 MDT is derived using a pointwise approach from the differences between UTM20 MSS and the local gravimetric geoid. UTM20 MSS and MDT reliability are validated with the latest Technical University of Denmark (DTU) and Collecte Localisation Services (CLS) models along with coastal tide gauges. The findings presented that the UTM20, CLS15, and DTU18 MSS models exhibit good agreement. Besides, UTM20 MDT is also in good agreement with CLS18 and DTU15 MDT models with an accuracy of 5.1 and 5.5 cm, respectively. The results also indicate that UTM20 MDT statistically achieves better accuracy than global models compared to tide gauges. Meanwhile, the UTM20 MSS accuracy is within 7.5 cm. These outcomes prove that UTM20 MSS and MDT models yield significant improvement compared to the previous regional models developed by UTM, denoted as MSS1 and MSS2 in this study.

show abstract

Section: Data Sources and Pre-processingmentioning

confidence: 99%

Section: Data Sources and Pre-processingmentioning

confidence: 99%

Section: Determination Of the Utm20 Mean Sea Surfacementioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 3 more Smart Citations

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

et al. 2021

View full text Add to dashboard Cite

show abstract

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

Yazid

Din

Omar

et al. 2022

TAO

View full text Add to dashboard Cite

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.

show abstract

Deriving offshore tidal datums using satellite altimetry around Malaysian seas

Hamden

Din

Wijaya

et al. 2021

IOP Conf. Ser.: Earth Environ. Sci.

View full text Add to dashboard Cite

Tidal datums are important for calculating spatial coordinates especially the elevation relative to mean sea level and also crucial for defining the state sovereignty boundaries over maritime areas. Normally, sea level was measured by tide gauges along the coastal for tidal datums computation. However, knowledge of tides is still restricted in coastal areas. Furthermore, tidal range at offshore was simply assumed to be similar as coastal due to the difficulties installing offshore tide gauges. The launching of satellite altimeter technologies with precise orbit determination since 1993 had provided significant accuracy of sea surface height (SSH) measurements. The observed SSH from satellite altimetry can be offered as tide gauge measurements at each location globally. This study aims to derive offshore tidal datums using satellite altimetry around Malaysian seas. SSH time series from TOPEX, Jason-1, Jason-2 and Geosat Follow On (GFO) were analysed using harmonic analysis approach to estimate harmonic constants. A minimum of 19 years tidal predictions were then performed using UTide software to determine Lowest Astronomical Tide (LAT) and Highest Astronomical Tide (HAT). These tidal datums were interpolated into regular 0.125° grids and were assessed with ten selected coastal tide gauges. The findings showed the Root Mean Square Error (RMSE) of spline interpolation yielded better accuracy, 25.5 cm (LATMSL) and 17.4 cm (HATMSL) as compared to the RMSE of Kriging interpolation, 31.8 cm (LATMSL) and 33.8 cm (HATMSL). In conclusion, deriving offshore tidal datums can serve as input data to unify marine database with coastal areas and also can support many marine applications.

show abstract

Mean Sea Surface (Mss) Model Determination for Malaysian Seas Using Multi-Mission Satellite Altimeter

Cited by 5 publications

References 17 publications

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

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

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

Deriving offshore tidal datums using satellite altimetry around Malaysian seas

Contact Info

Product

Resources

About