| Issue |
BIO Web Conf.
Volume 89, 2024
The 4th Sustainability and Resilience of Coastal Management (SRCM 2023)
|
|
|---|---|---|
| Article Number | 07001 | |
| Number of page(s) | 10 | |
| Section | Geo-Marine and Mapping and Application for Coastal Area | |
| DOI | https://doi.org/10.1051/bioconf/20248907001 | |
| Published online | 23 January 2024 | |
Applying Parametric Model Correction on Sea State Bias to Estimate Sea Surface Height over the Savu Sea
1 Department of Marine Science, University of Trunojoyo Madura, Jl. Raya Telang PO BOX 2 Kamal-Bangkalan, East Java, Indonesia
2 Laboratory of Oceanography, Department of Marine Science, University of Trunojoyo Madura, Jl. Raya Telang PO BOX 2 Kamal-Bangkalan, East Java, Indonesia
* Email: ariesdwisiswanto@trunojoyo.ac.id
Range, the distance between the satellite and the ocean surface covered by the radar trace, is measured by tracking the received waveform. The range measurement errors may be caused by sea state bias (SSB) which is the main source of measurement errors in altimeter applications. Particularly, the error due to SSB is related to atmospheric dynamics and sea surface roughness. Sea surface height (SSH) is determined by advanced satellite remote sensing in the fields of earth sciences, such as geophysics, geodesy, and oceanography. The research aims to apply the parametric model on the SSB to estimate the SSH over the Savu Sea. We analyzed data along the cycle along the track across the line consisting of the GDR Ku Band. We concluded that the parametric model can be used to effectively improve the SSH correction on the Sentinel 3A altimeter.
Key words: Altimeter / sea state bias (SSB) / sea surface height (SSH)
© The Authors, published by EDP Sciences, 2024
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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