Alford, Matthew H.
ORCID: https://orcid.org/0000-0002-6318-0737; Belal, Mohammad
ORCID: https://orcid.org/0000-0001-5175-3158; Naveira Garabato, Alberto C.
ORCID: https://orcid.org/0000-0001-6071-605X; Spingys, Carl
ORCID: https://orcid.org/0000-0001-6220-3047; Voet, Gunnar
ORCID: https://orcid.org/0000-0003-1975-186X; Godin, Oleg A.
ORCID: https://orcid.org/0000-0003-4599-2149; Uzhansky, Ernst M.
ORCID: https://orcid.org/0000-0002-6965-2248; Neale, Jennifer Ward
ORCID: https://orcid.org/0000-0003-1476-4944; Reis, Jesus
ORCID: https://orcid.org/0000-0001-6905-3555; Loureiro, Afonso.
2026
Ground‐Truthed Fiber‐Optic Sensing Reveals Internal Tide Bores Over Madeira's Steep Slope.
Geophysical Research Letters, 53 (13).
10.1029/2026GL124117
We demonstrate the combined utility of distributed acoustic sensing (DAS) and repeat conductivity-temperature-depth (CTD) profiling for observing internal tide dynamics over a sloping seafloor. While DAS has been widely proposed as a method to infer ocean temperature variability from seafloor cables, quantitative in situ validation has been limited. Here we present the first published detailed comparison between DAS-inferred bottom temperature fluctuations and near-bottom temperature measured from high-resolution yoyo-CTD time series reaching 5 m above the seafloor, conducted over the EllaLink/GeoLab cable on the slope of Madeira. Linear regressions yield an empirical DAS temperature sensitivity of 21–37 µstrain K−1, a factor 2.5–4 greater than commonly used theoretical estimates. The calibrated DAS record reveals semidiurnal internal tide bores propagating upslope to ∼ 1,300 m depth, where propagation halts and transitions to a complex interference pattern. These observations highlight the potential of combining seafloor fiber sensing with targeted in situ profiling to observe near-bottom internal tide breaking processes.
Available under License Creative Commons Attribution 4.0.
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NOC Research Groups 2025 > Marine-Geoscience
NOC Mission Networks > Climate
NOC Mission Networks > Hazards & Pollution
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