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Beach-scale tidal variations observed from satellite-derived shoreline time series

Abstract:
Coastal tidal dynamics play a crucial role in a variety of biogeophysical processes, ranging from compound flooding to sediment transport. Satellite altimetry has revolutionized our understanding of ocean tides, but coastal regions remain challenging for satellite altimetry-based observations. In recent years, important efforts have been made to produce shoreline measurements from satellite optical imagery. These datasets raise the question of whether shoreline observations can resolve tidal dynamics at fine coastal scales. We show shoreline measurements provide fine-scale insights into tidal characteristics. Our results are contrasted with in situ measurements and state-of-the-art models as well as with wide-swath satellite observations. We explore how both harmonic analysis and response-based methods can be applied to these data to study a range of tidal constituents, including the phase-locked solar constituent S$_2$. Based on the extended time series, trends and changes in the M$_2$ constituent are estimated using shoreline observations and a variational Bayesian harmonic estimator. Our results show statistically significant trends around New Zealand, which are consistent with those estimated from in situ and altimetric observations. We demonstrate that satellite-derived shoreline measurements are a valuable resource for tidal research, particularly for model validation and the study of tidal constituent variability in the coastal zone.
Publication status:
Published
Peer review status:
Not peer reviewed

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Preprint server copy:
10.21203/rs.3.rs-8967674/v1

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Role:
Author
ORCID:
0000-0001-9342-0335
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Institution:
University of Oxford
Division:
MPLS
Department:
Engineering Science
Role:
Author
ORCID:
0000-0003-3889-5551
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Role:
Author
ORCID:
0000-0002-6685-3415


Preprint server:
Research Square
Publication date:
2026-03-15
DOI:
EISSN:
2693-5015
Server owner:
Research Square Company


Language:
English
Pubs id:
2397442
Local pid:
pubs:2397442
Source identifiers:
W7136068227
Deposit date:
2026-03-31
ARK identifier:

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