Publications scientifiques

Afin d'anticiper les dommages engendrés par les phénomènes de submersion marine et d'y faire face, CCR a développé un modèle spécifique à ce péril pour la France métropolitaine. Ce modèle présente deux volets : une modélisation déterministe permettant d'estimer le coût d'un événement quelques jours après sa survenance et une modélisation probabiliste permettant d'estimer l'exposition au risque de submersion marine.

The coastal zone is an important resource both socially and economically. Globally, coastal zones are under increasing threat from the effects of climate change, erosion and flooding. Understanding the mechanisms of coastal processes is key to the long term management and protection of the coastal zone and its resources. Sandbanks are large sedimentary bodies found on coastal shelves worldwide that protect nearby coastlines from the effects of erosion. This research aims to model the hydrodynamics and morphodynamics of the sandbanks in the southern bight of the North Sea, UK.

Fourteen years ago, the 26 December 2004 Indian Ocean tsunami demonstrated the destructional capability of tsunamis to the entire world. Since then, many research programs have been initiated to try to understand the phenomenon and its related hazards better and to improve the early warning systems for exposed coastal populations. Pacific Islands Countries and Territories (PICTs) are especially vulnerable to tsunamis. Amongst them, New Caledonia is a French overseas territory located in the Southwest Pacific and exposed to several tsunami sources.

The satellites of the Global Navigation Satellite System (GNSS) continuously broadcast L-band signals at about a 20-cm wavelength. Some signal-to-noise ratio (SNR) data received by off-shelf geodetic antennas contain the multipath information of the sea, and they have been demonstrated for use in retrieving sea levels; however, compared with conventional tide gauges, this GNSS multipath reflectometry (GNSS-MR) technique is limited in terms of both precision and sampling rate.

We review the characteristics of sea level variability at the coast focussing on how it differs from the variability in the nearby deep ocean. Sea level variability occurs on all timescales, with processes at higher frequencies tending to have a larger magnitude at the coast due to resonance and other dynamics. In the case of some processes, such as the tides, the presence of the coast and the shallow waters of the shelves results in the processes being considerably more complex than offshore.

In this study, the multi-time-scale variability of the South English Channel (case of the Seine Bay, North France) sea level and its exceptional events have been investigated in relation with the global climate patterns by the use of wavelet multi-resolution decomposition techniques. The analysis has been focused on surges demodulating by an envelope approach.

In this study, three months of records (January–March 2010) that were acquired by a geodetic Global Navigation Satellite Systems (GNSS) station from the permanent network of RGP (Réseau GNSS Permanent), which was deployed by the French Geographic Institute (IGNF), located in Socoa, in the south of the Bay of Biscay, were used to determine the tide components and identify the signature of storms on the signal to noise ratio (SNR) during winter 2010.

In this paper, we proposed a new low cost technique of sea-level observation and monitoring inspired by the classical Tide Pole (Tide Staff). The results obtained by our proposed High Frequency Rotational Tide Gauge (RTG_HF) are promising. They show that RTG_HF is very adapted to an agitated environment and is able to measure high and low frequencies oscillations (waves/swells, infragravity waves, seiches, meteotsunamis, tsunamis, tides, sea-level change, etc.).

Sandy shorelines are constantly evolving, threatening frequently human assets such as buildings or transport infrastructure. In these environments, sea-level rise will exacerbate coastal erosion to an amount which remains uncertain. Sandy shoreline change projections inherit the uncertainties of future mean sea-level changes, of vertical ground motions, and of other natural and anthropogenic processes affecting shoreline change variability and trends. Furthermore, the erosive impact of sea-level rise itself can be quantified using two fundamentally different models.