Advances in estimating Sea Level Rise: A review of tide gauge, satellite altimetry and spatial data science approaches. (1st July 2021)

• Record Type: Journal Article
• Authors: Adebisi, Naheem; Balogun, Abdul-Lateef; Min, Teh Hee; Tella, Abdulwaheed
• Is Part Of: Ocean & coastal management. Volume 208(2021)
• Publication Date: 2021-07-01
• Subjects: Coastal altimetry -- GNSS -- Sea level -- Satellite altimetry -- Tide gauges; Marine resources -- Management -- Periodicals; Coastal zone management -- Periodicals; Coastal ecology -- Periodicals; Ressources marines -- Périodiques; Littoral -- Aménagement -- Périodiques; Écologie littorale -- Périodiques; Coastal ecology; Coastal zone management; Marine resources -- Management; Periodicals; Electronic journals; 551.46
• DOI: 10.1016/j.ocecoaman.2021.105632
• Languages: English
• ISSNs: 0964-5691

Abstract

Abstract: Significant developments have been made in the observation systems and techniques of estimating sea level towards meeting the standard accuracy requirement of Global Climate Observation Systems (GCOS). This study undertakes a systematic review of the current advances in estimating sea level change in the context of the 4th industrial revolution. Trends in the use of main observation systems such as tide gauges, satellite altimetry, and ancillary systems such as GNSS and Autonomous Surface Vehicles were explored. Crucially, we examined the contribution of dedicated waveform retracking strategies, advanced corrections and radar technology such as Ka-band altimetry of SARAL/Altika and SAR mode innovations to the progress in coastal altimetry. Further, we show the role of emerging spatial data science concepts and processing workflows in sea level study. Findings suggest that in-situ sea level observation through tide gauges remains the best approach for long-term coastal sea level study despite its limitations while satellite altimetry is suitable for contemporary global and regional scales. Detailed understating of global, regional and local mean sea level change will require an augmentation of tide gauge, satellite altimetry and other ancillary remote sensing and in situ systems. Densification of tide gauges and co-located GNSS networks at sparsely covered regions and improvement in precision of satellite altimetry data for coastal use are also essential for a fully integrated sea level observation system. From the analysis of over 30 trend models that span exploratory, parametric, non-parametric, stochastic and advanced classes in the literature, we conclude that the best model is the one with good statistical foundation and similar assumption with the sea level pattern. Graphical abstract: Image 1 Highlights: In-situ sea level observation through tide gauges remains the best approach for long-term coastal sea level study. Satellite altimetry is suitable for contemporary sea level observations at global and regional scales. Integration of multiple systems is essential for detailed understating of global, regional and local mean sea level change. Densification of tide gauges and co-located GNSS networks and improvement in precision of satellite altimetry is required. Spatial data science techniques such as data engineering and trend estimation are pertinent to sea level studies.