# **Model References and collaborations**
## **PUBLICATIONS**
### Model description
*Frequency-domain formulation (CEFMO being a previous version of T-UGOm)*
> Lyard, F. H., Allain, D. J., Cancet, M., Carrère, L., and Picot, N. (2021) FES2014 global ocean tide atlas: design and performance, *Ocean Sci.*, 17, 615–649, DOI [10.5194/os-17-615-2021](https://doi.org/10.5194/os-17-615-2021).
> Lyard, F., Lefevre, F., Letellier, T. and Francis, O. (2006) Modelling the global ocean tides: modern insights from FES2004. *Ocean Dynamics* 56, 394–415. DOI [10.1007/s10236-006-0086-x](https://doi.org/10.1007/s10236-006-0086-x)
*TIme-stepping formulation (MOG2D being a previous version of T-UGOm)*
> Carrère, L., and F. Lyard (2003), Modeling the barotropic response of the global ocean to atmospheric wind and pressure forcing - comparisons with observations, *Geophys. Res. Lett.*, 30, 1275, DOI [10.1029/2002GL016473](https://doi.org/10.1029/2002GL016473).
### Barotropic tide studies
Pineau-Guillou, L., and Lazure, P. (2025). $M_2$ seasonal variability in northwestern Europe: Characteristics and drivers. *Geophysical Research Letters*, 52, e2024GL112554. DOI [10.1029/2024GL112554](https://doi.org/10.1029/2024GL112554)
Piton, V., Herrmann, M., Lyard, F., Marsaleix, P., Duhaut, T., Allain, D., and Ouillon, S. (2020) Sensitivity study on the main tidal constituents of the Gulf of Tonkin by using the frequency-domain tidal solver in T-UGOm, *Geosci. Model Dev.*, 13, 1583–1607, DOI [10.5194/gmd-13-1583-2020](https://doi.org/10.5194/gmd-13-1583-2020).
Toublanc, F., Ayoub, N. K., Lyard, F., Marsaleix, P., and Allain, D. J. (2018) Tidal downscalling from the open ocean to the coast: a new approach applied to the Bay of Biscay, *Ocean Modelling*, 124, 16–32, DOI [10.1016/j.ocemod.2018.02.001](https://doi.org/10.1016/j.ocemod.2018.02.001).
Agresti, V. (2018) Effects of tidal motion on the Mediterranean Sea General Circulation, [Dissertation thesis], *Alma Mater Studiorum Università di Bologna*. Dottorato di ricerca in Geofisica, 30 Ciclo. DOI [10.6092/unibo/amsdottorato/8516](https://www.doi.org/10.6092/unibo/amsdottorato/8516).
Le Bars, Y., Lyard, F., Jeandel, C., & Dardengo, L. (2010). The AMANDES tidal model for the Amazon estuary and shelf. *Ocean Modelling*, 31(3-4), 132-149. DOI [10.1016/j.ocemod.2009.11.001](https://www.doi.org/10.1016/j.ocemod.2009.11.001)
### Internal tides studies
Barbot, S., Lyard, F., Tchilibou, M., and Carrere, L. (2021) Background stratification impacts on internal tide generation and abyssal propagation in the western equatorial Atlantic and the Bay of Biscay, *Ocean Sci.*, 17, 1563–1583, DOI [10.5194/os-17-1563-2021](https://doi.org/10.5194/os-17-1563-2021).
Barbot, S. (2021) Modélisation réaliste de la marée interne : sa signature en surface, sa variabilité et son bilan énergétique, [Dissertation thesis], *Université Paul Sabatier - Toulouse III*. DOI [10.70675/d693d9baz8d06z4a4fza206z911fefa6db28](https://www.doi.org/10.70675/d693d9baz8d06z4a4fza206z911fefa6db28)
Nugroho, D. (2017). The Tides in a general circulation model in the Indonesian Seas. [Dissertation thesis], *Université Paul Sabatier - Toulouse III* HAL [tel-01556796v2](https://theses.hal.science/tel-01556796v2)
### Surges studies
Caby, T., Pineau-Guillou, L., Sévellec, F., and Delouis, J. M. (2026). Dynamical properties of atmospheric and sea level extremes in the North-East Atlantic. *Climate Dynamics*, 64(1), 20. DOI [10.1007/s00382-025-08008-9](https://doi.org/10.1007/s00382-025-08008-9)
Cheynel, J., Pineau-Guillou, L., Lazure, P., Marcos, M., Lyard, F., and Raillard, N. (2026). A secular sea level hindcast (1900–2015) to investigate extreme surges variability and trends in the North Atlantic. *Ocean Modelling*, 199, 102636. DOI [10.1016/j.ocemod.2025.102636](https://doi.org/10.1016/j.ocemod.2025.102636)
Pineau-Guillou, L., Bouin, M. N., Ardhuin, F., Lyard, F., Bidlot, J. R., and Chapron, B. (2020). Impact of wave-dependent stress on storm surge simulations in the North Sea: Ocean model evaluation against in situ and satellite observations. *Ocean Modelling*, 154, 101694. DOI [10.1016/j.ocemod.2020.101694](https://doi.org/10.1016/j.ocemod.2020.101694)
Lucia Pineau-Guillou. (2018) Ocean-atmosphere interaction: improvement of wind stress for coastal physical modelling. [Dissertation thesis] *Université de Bretagne occidentale - Brest*. DOI [10.70675/13b558eezc929z4e84zb3bfz28b94e5c545d ](https://doi.org/10.70675/13b558eezc929z4e84zb3bfz28b94e5c545d )
Mémin, A., Watson, C., Haigh, I.D., MacPherson, L., and Tregoning, P. (2014) Non-linear motions of Australian geodetic stations induced by non-tidal ocean loading and the passage of tropical cyclones. J Geod 88, 927–940 . DOI [10.1007/s00190-014-0734-8](https://doi.org/10.1007/s00190-014-0734-8)
Boy, JP., Longuevergne, L., Boudin, F., Jacob, T., Lyard, F., Llubes, M., Florsch, N. (2009) Modelling atmospheric and induced non-tidal oceanic loading contributions to surface gravity and tilt measurements. *Journal of Geodynamics* 48:182–188. DOI [10.1016/j.jog.2009.09.022](https://doi.org/10.1016/j.jog.2009.09.022)
Boy, JP., Lyard, F. (2008) High-frequency non-tidal ocean loading effects on surface gravity measurements, *Geophysical Journal International*, Volume 175, Issue 1, Pages 35–45, DOI [10.1111/j.1365-246X.2008.03895.x](https://doi.org/10.1111/j.1365-246X.2008.03895.x)
## **DERIVED DATASETS**
### FES (Finite Element Solution) barotropic tidal atlas atlases
*Lattest version:*
- FES2022
CNES, CNRS-LEGOS, CLS (2024). FES2022 (Finite Element Solution) Ocean Tide (Version 2022) [Dataset]. DOI [10.24400/527896/A01-2024.004](https://doi.org/10.24400/527896/A01-2024.004)
*Previous versions:*
- FES2014c (additionnal long-period tidal constituent to complete FES2014b)
- FES2014b (FES2012 with altimetry and tide gauges assimilation)
- FES2012
- FES2004 (last use of CEFMO version)
- FES99
- FES98
- FES95.2.1
- FES94
### DAC (Dynamical Atmospheric Correction)
*Lattest versions:*
- DAC-ERA5
CNES, CNRS-LEGOS, CLS (2025). Dynamic Atmospheric Correction using ERA5 meteorological reanalysis (Version 1.1) [Dataset]. CNES. DOI [10.24400/527896/A01-2025.006](https://doi.org/10.24400/527896/A01-2025.006)
- DAC-SWOT-CalVal
CNES, CNRS-LEGOS, CLS (2023). Dynamic Atmospheric Correction dedicated to SWOT CalVal Phase [Dataset]. CNES. DOI [10.24400/527896/A01-2023.019](https://doi.org/10.24400/527896/A01-2023.019)
*Previous versions:*
- DAC
CNES, CNRS-LEGOS, CLS (1992). Dynamic Atmospheric Correction using ERA5 meteorological reanalysis [Dataset]. CNES. DOI [10.24400/527896/a01-2022.001](https://doi.org/10.24400/527896/a01-2022.001)