%0 Journal Article
%9 ACL : Articles dans des revues avec comité de lecture répertoriées par l'AERES
%A Noubissie, L. D.
%A Birol, F.
%A Onguene, R.
%A Léger, F.
%A Nino, Fernando
%A Naoussi, R. D.
%T Virtual coastal altimetry tide gauges along the West African coast
%D 2024
%L fdi:010088943
%G ENG
%J Estuarine Coastal and Shelf Science
%@ 0272-7714
%K West African coast ; Coastal ocean ; Tide ; Sea level rise
%K AFRIQUE DE L'OUEST ; ATLANTIQUE
%M ISI:001147032900001
%P 108600 [12 ]
%R 10.1016/j.ecss.2023.108600
%U https://www.documentation.ird.fr/hor/fdi:010088943
%> https://www.documentation.ird.fr/intranet/publi/2024-03/010088943.pdf
%V 296
%W Horizon (IRD)
%X Low-lying coastal regions are generally vulnerable to climate change, and particularly to sea level variations. Understanding how these variations affect the coastal population requires an access to sea level measurements. Good quality in-situ sea level data are seldom available, with most long, research quality data in Europe and North America. In contrast, satellite altimetry provides more than three decades of near-global, continuous and freely available sea level measurements. Thanks to recent advances in processing and instruments, these observations have now become reliable to a few kilometers from the coast. In this study, using the available in-situ tide gauge data as a reference, we explore the ability of the recent X-TRACK/ALES high-resolution coastal altimeter product to derive the ocean tide and the long-term sea level changes along the West African coast. This region was chosen because it is under-sampled in terms of in-situ observations and would benefit greatly from the availability of freely accessible satellite data sets. To select the altimetry observations closest to the coast, we first define virtual tide gauges as close as possible to the intersection between each satellite track and the land. Sea level anomalies derived from the virtual stations were observed to be similar to those from the corresponding tide gauge stations: correlation values are between 0.58 and 0.78, root mean square differences between 5.6 and 8.3 cm. The virtual stations reproduce the observed tide with errors less or equal to 6.5 cm (i.e. 5.8% or less than the sea level variations of the tide). We show that part of the differences in tides between the two datasets is explained by differences in position between tide gauges and virtual stations. The combined analysis of sea level trends derived from tide gauges and from virtual stations shows how it is an efficient strategy to correct their respective errors and progress towards increasingly accurate sea level trend estimates in a region with little or no research-quality tide gauge data suitable for long-term sea level studies. The conclusion from this study is that in coastal regions poorly covered by tide gauges, our altimetry-based approach can be used to study and monitor sea-level variations related to tides or to long-term sea level changes.
%$ 032 ; 021 ; 126