Pineau-Guillou L., Lazure P. and Wöppelmann G. (2021). Large-scale changes of the semidiurnal tide along North Atlantic coasts from 1846 to 2018. Ocean Sci., 17, 17–34. https://doi.org/10.5194/os-17-17-2021

This paper investigates the changes of the principal tidal component M2 along the North Atlantic coasts, over the last century. We found some regional coherent changes. The similarity between the NAO (North Atlantic Oscillation) and M2 variations in the North-East Atlantic suggests a possible influence of the large-scale atmospheric circulation on the tide. A possible underlying mechanism is discussed.

Reinert M., Pineau-Guillou L., Raillard N. and Chapron B. (2021). Seasonal shift in storm surges at Brest revealed by extreme value analysis. JGR: Oceans, 126, e2021JC017794. https://doi.org/10.1029/2021JC017794

This paper shows that extreme storm surge events occurred three weeks earlier in Brest in the winter 2000 than in the 1950s. Analysis of additional stations in Europe suggests a large-scale process.

Roustan J.-B., Pineau-Guillou L., Chapron B., Raillard N. and Reinert M. (2022). Shift of the storm surge season in Europe due to climate variability. Sci. Rep., 12, 8210. https://doi.org/10.1038/s41598-022-12356-5

This paper shows that extreme surge events occurred about 4 days/decade later in northern Europe, and 5 days/decade earlier in southern Europe, in the winter 2000 than in the 1950s. Identified spatio-temporal shifts likely trace that NAO+ storms tend to occur later between 1950 and 2000.

Pineau-Guillou L., Delouis J.-M. and Chapron B. (2023). Characteristics of storm surge events along the North-East Atlantic coasts. JGR: Oceans, 128, e2022JC019493. https://doi.org/10.1029/2022JC019493

This paper proposes a new method, called ECHAR, to characterize the dynamics of typical storm surge events. Analysis of 20 tide gauges in the North-East Atlantic reveals that storm surge events display a slow-time and a fast-time component lasting about 16 and 1.7 days respectively. The wind stress mostly contributes to the fast-time component, whereas the atmospheric pressure contributes to both.

Harter L., Pineau-Guillou L. and Chapron B. (2024). Underestimation of extremes in sea level surge reconstruction. Sci. Rep. 14, 14875. https://doi.org/10.1038/s41598-024-65718-6

This paper explores how to reduce biases on extremes, in sea level surge reconstruction. Different statistical models (multiple linear regressions and neural networks) are tested at 14 long-term tide gauges in the North-East Atlantic. Results are the following. Using the wind stress rather than the wind speed as predictor reduces the bias on extremes. Adding the significant wave height as a predictor can reduce biases on extremes at a few locations tested.  Atmospheric reanalyses likely underestimate extremes over the 19th century.

Barbot S. , Pineau-Guillou L.  and Delouis J.-M. (2024). Extreme storm surge events and associated dynamics in the North Atlantic. JGR: Oceans, 129, e2023JC020772. https://doi.org/10.1029/2023JC020772

This paper investigates storm surges events in the North Atlantic, using the ECHAR method. Such method allows to identify and quantify (in terms of amplitude and duration) the different dynamical structures of a typical storm surge event.

Cheynel J. , Pineau-Guillou L. , Lazure P. , Marcos M. and Raillard. N. Regional changes in extreme storm surges revealed by tide gauge analysis. Submitted.