Next Article in Journal
MODIS and PROBA-V NDVI Products Differ when Compared with Observations from Phenological Towers at Four Tropical Dry Forests in the Americas
Previous Article in Journal
Fast Reproducible Pansharpening Based on Instrument and Acquisition Modeling: AWLP Revisited
Previous Article in Special Issue
Copernicus Imaging Microwave Radiometer (CIMR) Benefits for the Copernicus Level 4 Sea-Surface Salinity Processing Chain
Open AccessArticle

Quantifying Tidal Fluctuations in Remote Sensing Infrared SST Observations

Laboratoire d’Océanographie Physique et Spatiale (LOPS), IUEM, Univ. Brest, CNRS, IRD, Ifremer, 29238 Brest, France
Author to whom correspondence should be addressed.
Current address: Physical & Technological Oceanography Department, Barcelona Expert Center Institut de Ciencies del Mar (ICM), Barcelona, Spain (CSIC).
These authors contributed equally to this work.
Remote Sens. 2019, 11(19), 2313;
Received: 13 September 2019 / Revised: 2 October 2019 / Accepted: 3 October 2019 / Published: 4 October 2019
(This article belongs to the Special Issue Ten Years of Remote Sensing at Barcelona Expert Center)
The expected amplitude of fixed-point sea surface temperature (SST) fluctuations induced by barotropic and baroclinic tidal flows is estimated from tidal current atlases and SST observations. The fluctuations considered are the result of the advection of pre-existing SST fronts by tidal currents. They are thus confined to front locations and exhibit fine-scale spatial structures. The amplitude of these tidally induced SST fluctuations is proportional to the scalar product of SST frontal gradients and tidal currents. Regional and global estimations of these expected amplitudes are presented. We predict barotropic tidal motions produce SST fluctuations that may reach amplitudes of 0.3 K. Baroclinic (internal) tides produce SST fluctuations that may reach values that are weaker than 0.1 K. The amplitudes and the detectability of tidally induced fluctuations of SST are discussed in the light of expected SST fluctuations due to other geophysical processes and instrumental (pixel) noise. We conclude that actual observations of tidally induced SST fluctuations are a challenge with present-day observing systems. View Full-Text
Keywords: sea surface temperature; satellite observations; tidal currents; internal tides sea surface temperature; satellite observations; tidal currents; internal tides
Show Figures

Graphical abstract

MDPI and ACS Style

González-Haro, C.; Ponte, A.; Autret, E. Quantifying Tidal Fluctuations in Remote Sensing Infrared SST Observations. Remote Sens. 2019, 11, 2313.

Show more citation formats Show less citations formats
Note that from the first issue of 2016, MDPI journals use article numbers instead of page numbers. See further details here.

Article Access Map by Country/Region

Back to TopTop