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All Journal Journal of Science and Applicative Technology Desimal: Jurnal Matematika Journal of Multidisciplinary Academic Smart Society: Community Service and Empowerment Journal RENATA Jurnal Pengabdian Masyarakat Kita Semua Jurnal Pengabdian Kepada Masyarakat Radisi
Irawati, Febri Dwi
Institut Teknologi Sumatera
Agriculture, Biological Sciences & Forestry Humanities Civil Engineering, Building, Construction & Architecture Computer Science & IT Earth & Planetary Sciences Economics, Econometrics & Finance Education Electrical & Electronics Engineering Energy Engineering Languange, Linguistic, Communication & Media Materials Science & Nanotechnology Mathematics Mechanical Engineering Social Sciences Other

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Journal : Journal of Science and Applicative Technology

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Regional Validation Coastal Sea Level Anomaly Estimation from Altimetry Satellite and Tide Gauges Data using Fuzzy Inference System: A Case Study Around Natuna Seas Permana, Rizki Dimas; Gaol, Jonson Lumban; Irawati, Febri Dwi; Rohman, Tefur Nur; Badri, Rizty Maulida
Journal of Science and Applicative Technology Vol. 8 No. 2 (2024): Journal of Science and Applicative Technology December Chapter
Publisher : Lembaga Penelitian dan Pengabdian Masyarakat (LPPM), Institut Teknologi Sumatera, Lampung Selatan, Lampung, Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35472/jsat.v8i2.1851

Abstract

The validation of waveform retracking analyses with Fuzzy Inferences system, which was previously developed to optimize the estimation of sea surface height (SSHs), particularly in coastal locations, is presented in this study. The fuzzy inference system has been tested and validated in the Natuna Sea, Indonesia, where altimetry waveforms varied based on water conditions. Validation was performed by comparing the waveform retracking result of Jason-3 data with in-situ tide gauge data and geoid. The validation of waveform retracking data for sea level anomaly (SLA) estimate against tidal data demonstrates that the waveform retracking with a fuzzy inference system is more accurate than previous approaches. Waveform retracking with fuzzy inference system is able to produce an average temporal correlation of 0.75-0.89 and RMSE between 0.15-0.17 m. The waveform retracking combined with a fuzzy inference system can improve SLA estimation accuracy in nearshore up to 4 km from the coastline. The results indicate that retracking with fuzzy inference system has the potential to be used in other complicated oceans.
Co-Authors Agus Kartono Dani Al Mahkya Dian Anggraini Fery Widhiatmoko Jonson Lumban Gaol M. Syamsuddin Wisnubroto Mika Alvionita Mika Alvionita Sitinjak Muthoharoh, Luluk Nadeak, Christyan Tamaro Nasywa, Halilah Roja Ramdani, Ahmad Luky Rizki Dimas Permana Rizty Maulida Badri Rohman, Tefur Nur RR. Ella Evrita Hestiandari S. Marsudi Siburian, Marsudi Tirta Setiawan Tirta Setiawan, Tirta Untoro, Meida Cahyo Wisnubroto, M. Syamsuddin