Literature Review: Development of a Local Mean Sea Surface (MSS) Model for Shallow Waters Using Satellite Altimetry Data and in situ Measurements

Endro Sigit Kurniawam; Eko Yuli Handoko; Danar Guruh Pratomo; Ira Mutiara Anjasmara; Widodo Setyo Pranowo; Oni Obintoro

doi:10.1109/AGERS65212.2024.10932876

Literature Review: Development of a Local Mean Sea Surface (MSS) Model for Shallow Waters Using Satellite Altimetry Data and in situ Measurements

Endro Sigit Kurniawam
, Eko Yuli Handoko
, Danar Guruh Pratomo
, Ira Mutiara Anjasmara
, Widodo Setyo Pranowo
, Oni Obintoro

Institut Teknologi Sepuluh Nopember
National Research and Innovation Agency

Research output: Contribution to journal › Conference article › peer-review

1 Citation (Scopus)

Abstract

Sea Surface Height (SSH), Sea Level Anomalies (SLA), and Mean Sea Surface (MSS) are essential parameters for comprehending sea levels, particularly in the tropical waters of Indonesia. Global MSS models frequently fall short in capturing the local dynamics influenced by phenomena such as ENSO and thunderstorms. A review of 10 studies revealed significant gaps, including the lack of tropical-specific geophysical corrections, limited utilization of high-resolution multi-sensor data, and an absence of local hydrodynamic models. To address these shortcomings, future research should prioritize the development of tropical-specific corrections, the integration of multi-sensor data, and the application of dynamic models to improve MSS accuracy and enhance the understanding of seasonal variability.

Original language	English
Pages (from-to)	143-148
Number of pages	6
Journal	IEEE Asia-Pacific Conference on Geoscience, Electronics and Remote Sensing Technology, AGERS
Issue number	2024
DOIs	https://doi.org/10.1109/AGERS65212.2024.10932876
Publication status	Published - 2024
Event	7th IEEE Asia-Pacific Conference on Geoscience, Electronics and Remote Sensing Technology, AGERS 2024 - Hybrid, Manado, Indonesia Duration: 13 Dec 2024 → 14 Dec 2024

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

SDG 7 Affordable and Clean Energy

Keywords

Mean Sea Surface (MSS)
Sea Level Anomalies (SLA)
Sea Surface Height (SSH)
dynamic topography
geophysical correction
satellite altimetry
sea level variability
tide gauge

Access to Document

10.1109/AGERS65212.2024.10932876

Cite this

Kurniawam, E. S., Handoko, E. Y., Pratomo, D. G., Anjasmara, I. M., Pranowo, W. S., & Obintoro, O. (2024). Literature Review: Development of a Local Mean Sea Surface (MSS) Model for Shallow Waters Using Satellite Altimetry Data and in situ Measurements. IEEE Asia-Pacific Conference on Geoscience, Electronics and Remote Sensing Technology, AGERS, (2024), 143-148. https://doi.org/10.1109/AGERS65212.2024.10932876

@article{22195cc5d6234d048926be97efd5d685,

title = "Literature Review: Development of a Local Mean Sea Surface (MSS) Model for Shallow Waters Using Satellite Altimetry Data and in situ Measurements",

abstract = "Sea Surface Height (SSH), Sea Level Anomalies (SLA), and Mean Sea Surface (MSS) are essential parameters for comprehending sea levels, particularly in the tropical waters of Indonesia. Global MSS models frequently fall short in capturing the local dynamics influenced by phenomena such as ENSO and thunderstorms. A review of 10 studies revealed significant gaps, including the lack of tropical-specific geophysical corrections, limited utilization of high-resolution multi-sensor data, and an absence of local hydrodynamic models. To address these shortcomings, future research should prioritize the development of tropical-specific corrections, the integration of multi-sensor data, and the application of dynamic models to improve MSS accuracy and enhance the understanding of seasonal variability.",

keywords = "Mean Sea Surface (MSS), Sea Level Anomalies (SLA), Sea Surface Height (SSH), dynamic topography, geophysical correction, satellite altimetry, sea level variability, tide gauge",

author = "Kurniawam, \{Endro Sigit\} and Handoko, \{Eko Yuli\} and Pratomo, \{Danar Guruh\} and Anjasmara, \{Ira Mutiara\} and Pranowo, \{Widodo Setyo\} and Oni Obintoro",

note = "Publisher Copyright: {\textcopyright} 2024 IEEE.; 7th IEEE Asia-Pacific Conference on Geoscience, Electronics and Remote Sensing Technology, AGERS 2024 ; Conference date: 13-12-2024 Through 14-12-2024",

year = "2024",

doi = "10.1109/AGERS65212.2024.10932876",

language = "English",

pages = "143--148",

journal = "IEEE Asia-Pacific Conference on Geoscience, Electronics and Remote Sensing Technology, AGERS",

issn = "2771-6619",

publisher = "Institute of Electrical and Electronics Engineers Inc.",

number = "2024",

}

Kurniawam, ES, Handoko, EY , Pratomo, DG , Anjasmara, IM, Pranowo, WS & Obintoro, O 2024, 'Literature Review: Development of a Local Mean Sea Surface (MSS) Model for Shallow Waters Using Satellite Altimetry Data and in situ Measurements', IEEE Asia-Pacific Conference on Geoscience, Electronics and Remote Sensing Technology, AGERS, no. 2024, pp. 143-148. https://doi.org/10.1109/AGERS65212.2024.10932876

Literature Review: Development of a Local Mean Sea Surface (MSS) Model for Shallow Waters Using Satellite Altimetry Data and in situ Measurements. / Kurniawam, Endro Sigit; Handoko, Eko Yuli ; Pratomo, Danar Guruh et al.
In: IEEE Asia-Pacific Conference on Geoscience, Electronics and Remote Sensing Technology, AGERS, No. 2024, 2024, p. 143-148.

Research output: Contribution to journal › Conference article › peer-review

TY - JOUR

T1 - Literature Review

T2 - 7th IEEE Asia-Pacific Conference on Geoscience, Electronics and Remote Sensing Technology, AGERS 2024

AU - Kurniawam, Endro Sigit

AU - Handoko, Eko Yuli

AU - Pratomo, Danar Guruh

AU - Anjasmara, Ira Mutiara

AU - Pranowo, Widodo Setyo

AU - Obintoro, Oni

PY - 2024

Y1 - 2024

N2 - Sea Surface Height (SSH), Sea Level Anomalies (SLA), and Mean Sea Surface (MSS) are essential parameters for comprehending sea levels, particularly in the tropical waters of Indonesia. Global MSS models frequently fall short in capturing the local dynamics influenced by phenomena such as ENSO and thunderstorms. A review of 10 studies revealed significant gaps, including the lack of tropical-specific geophysical corrections, limited utilization of high-resolution multi-sensor data, and an absence of local hydrodynamic models. To address these shortcomings, future research should prioritize the development of tropical-specific corrections, the integration of multi-sensor data, and the application of dynamic models to improve MSS accuracy and enhance the understanding of seasonal variability.

AB - Sea Surface Height (SSH), Sea Level Anomalies (SLA), and Mean Sea Surface (MSS) are essential parameters for comprehending sea levels, particularly in the tropical waters of Indonesia. Global MSS models frequently fall short in capturing the local dynamics influenced by phenomena such as ENSO and thunderstorms. A review of 10 studies revealed significant gaps, including the lack of tropical-specific geophysical corrections, limited utilization of high-resolution multi-sensor data, and an absence of local hydrodynamic models. To address these shortcomings, future research should prioritize the development of tropical-specific corrections, the integration of multi-sensor data, and the application of dynamic models to improve MSS accuracy and enhance the understanding of seasonal variability.

KW - Mean Sea Surface (MSS)

KW - Sea Level Anomalies (SLA)

KW - Sea Surface Height (SSH)

KW - dynamic topography

KW - geophysical correction

KW - satellite altimetry

KW - sea level variability

KW - tide gauge

UR - https://www.scopus.com/pages/publications/105005936613

U2 - 10.1109/AGERS65212.2024.10932876

DO - 10.1109/AGERS65212.2024.10932876

M3 - Conference article

AN - SCOPUS:105005936613

SN - 2771-6619

SP - 143

EP - 148

JO - IEEE Asia-Pacific Conference on Geoscience, Electronics and Remote Sensing Technology, AGERS

JF - IEEE Asia-Pacific Conference on Geoscience, Electronics and Remote Sensing Technology, AGERS

IS - 2024

Y2 - 13 December 2024 through 14 December 2024

ER -

Kurniawam ES, Handoko EY , Pratomo DG , Anjasmara IM, Pranowo WS, Obintoro O. Literature Review: Development of a Local Mean Sea Surface (MSS) Model for Shallow Waters Using Satellite Altimetry Data and in situ Measurements. IEEE Asia-Pacific Conference on Geoscience, Electronics and Remote Sensing Technology, AGERS. 2024;(2024):143-148. doi: 10.1109/AGERS65212.2024.10932876

Literature Review: Development of a Local Mean Sea Surface (MSS) Model for Shallow Waters Using Satellite Altimetry Data and in situ Measurements

Abstract

UN SDGs

Keywords

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