On the ability of OMIP models to simulate the seasonal cycle of the ocean mixed layer depth in pan-Arctic Seas

Autor: Sofía Allende, Thierry Fichefet, Hugues Goosse, Anne-Marie Tréguier

In this study, we assess the ability of the ocean-sea ice general circulation models that participated in the Ocean Model Intercomparison Project (OMIP) to simulate the seasonal cycle of the ocean mixed layer depth in pan-Arctic seas. We focus on the

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::22ec64caf0b91699305e73eca073d2e8
https://doi.org/10.5194/egusphere-egu23-8577

A seasonal climatology of the upper ocean pycnocline

Autor: Guillaume Sérazin, Anne-Marie Tréguier, Clément de Boyer Montégut

Publikováno v: Frontiers In Marine Science (2296-7745) (Frontiers Media SA), 2023-03, Vol. 10, P. 1120112 (21p.)
Frontiers in Marine Science
Frontiers in Marine Science, 2023, 10, ⟨10.3389/fmars.2023.1120112⟩

Climatologies of the mixed layer depth (MLD) have been provided using several definitions based on temperature/density thresholds or hybrid approaches. The upper ocean pycnocline (UOP) that sits below the mixed layer base remains poorly characterized

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::b5d2c30220f2ef14dc2e662b4778d585
http://arxiv.org/abs/2212.07188

Four-dimensional temperature, salinity and mixed layer depth in the Gulf Stream, reconstructed from remote sensing and in situ observations with neural networks

Autor: Etienne Pauthenet, Loïc Bachelot, Kevin Balem, Guillaume Maze, Anne-Marie Tréguier, Fabien Roquet, Ronan Fablet, Pierre Tandeo

Publikováno v: Ocean Science
Ocean Science, European Geosciences Union, 2022, ⟨10.5194/egusphere-2022-25⟩

Despite the ever-growing amount of ocean’s data, the interior of the ocean remains under sampled in regions of high variability such as the Gulf Stream. In this context, neural networks have been shown to be effective for interpolating properties a

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::e28cb95ce3c317694e545a1d860a1d9c
https://doi.org/10.5194/egusphere-2022-25

Narrowing uncertainties in climate projections using data science tools

Autor: Pierre Tandeo, Pierre Ailliot, Christophe Bello, Bertrand Chapron, Trang Chau, Knutti, R., Pierre Le Bras, Philippe Naveau, Valérie Monbet, Ruiz, J., Florian Sevellec, Anne-Marie Tréguier

Publikováno v: 3rd joint RIKEN & IMT-Atlantique workshop on Statistical Modeling and Machine Learning in Meteorology and Oceanography
3rd joint RIKEN & IMT-Atlantique workshop on Statistical Modeling and Machine Learning in Meteorology and Oceanography, Apr 2021, Brest, France
HAL

International audience

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=dedup_wf_001::06b0cc7c95fd6d57c669d68778bbb972
https://hal-imt-atlantique.archives-ouvertes.fr/hal-03279029

Representation of the Denmark Strait overflow in a z-coordinate eddying configuration of the NEMO (v3.6) ocean model: resolution and parameter impacts

Autor: Julie Deshayes, Polina Verezemskaya, Anne-Marie Tréguier, Jérôme Chanut, Sergey Gulev, Jean-Marc Molines, Bernard Barnier, Thierry Penduff, Julien Le Sommer, Pedro Colombo

Publikováno v: Geoscientific Model Development
Geoscientific Model Development, 2020, 13 (7), pp.3347-3371. ⟨10.5194/gmd-13-3347-2020⟩
Geoscientific Model Development (1991-959X) (Copernicus Gesellschaft Mbh), 2020-07, Vol. 13, N. 7, P. 3347-3371
Geoscientific Model Development, European Geosciences Union, 2020, 13 (7), pp.3347-3371. ⟨10.5194/gmd-13-3347-2020⟩
Geoscientific Model Development Discussions
Geoscientific Model Development Discussions, Copernicus Publ, 2020, 13 (7), pp.3347-3371. ⟨10.5194/gmd-13-3347-2020⟩
Geoscientific Model Development, Vol 13, Pp 3347-3371 (2020)

We investigate in this paper the sensitivity of the representation of the Denmark Strait overflow produced by a regional z-coordinate configuration of NEMO (version 3.6) to the horizontal and vertical grid resolutions and to various numerical and phy

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::904fc1b14ce5d3a4c1875fc251b22de0
https://hal.sorbonne-universite.fr/hal-02935607/file/gmd-13-3347-2020.pdf