Statistical analysis of extreme waves from satellite altimetry from 2002 to 202

Autor: Alice Laloue, Malek Ghantous, Yannice Faugere

Statistical analysis of extreme wave heights over the globe requires long and sufficiently resolved time series of data that have so far only been available in model reanalyses. In recent years, time series of altimetry observations that allow us to

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::93681355187f778f44fd126ae4011a49
https://doi.org/10.5194/egusphere-egu23-7808

Assessment of a regional physical–biogeochemical stochastic ocean model. Part 1: Ensemble generation

Autor: Vassilios Vervatis, Charles-Emmanuel Testut, Malek Ghantous, Marios Kailas, Pierre De Mey-Frémaux, Sarantis Sofianos, John Karagiorgos, Nadia Ayoub

Publikováno v: Ocean Modelling
Ocean Modelling, Elsevier, 2021, 160, pp.101781. ⟨10.1016/j.ocemod.2021.101781⟩
Ocean Modelling, 2021, 160, pp.101781. ⟨10.1016/j.ocemod.2021.101781⟩

International audience; In this article, Part 1 of a two-part series, we run and evaluate the skill of a regional physical–biogeochemical stochastic ocean model based on NEMO. The domain covers the Bay of Biscay at 1/36° resolution, as a case stud

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::8115146aee97a7e86931849ef068a2e5
https://hal.archives-ouvertes.fr/hal-03441625/file/Vervatis_etal_part1_2021_preproof.pdf

Ensemble downscaling of a regional ocean model

Autor: Pierre De Mey-Frémaux, Patrick Marsaleix, Malek Ghantous, Vassilios Vervatis, Nadia Ayoub

Publikováno v: Ocean Modelling
Ocean Modelling, 2020, 145, pp.101511. ⟨10.1016/j.ocemod.2019.101511⟩
Ocean Modelling, Elsevier, 2020, 145, pp.101511. ⟨10.1016/j.ocemod.2019.101511⟩
Ocean Modelling, Elsevier, 2019, pp.101511. ⟨10.1016/j.ocemod.2019.101511⟩

We downscaled a free ensemble of a regional, parent model to a high-resolution coastal, child ensemble in the Bay of Biscay. The child ensemble was forced at the open boundaries by the parent ensemble, and locally by perturbing the winds. By comparin

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::4515121209735b4e40556c1cf5266ae8
https://hal.science/hal-03052959

Simulated ocean response to tropical cyclones: The effect of a novel parameterization of mixing from unbroken surface waves

Autor: Ian R. Young, Malek Ghantous, Pallavi Govekar, Alexander V. Babanin, Lachlan Stoney, Kevin Walsh

Publikováno v: Journal of Advances in Modeling Earth Systems. 9:759-780

Tropical cyclones dissipate large amounts of energy into the upper ocean, locally enhancing vertical mixing and cooling the sea surface. In this study, we investigate how the response of the ocean to tropical cyclones is affected by additional mixing

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::70311a08c6bd2d409f06afb3b5be740b
https://doi.org/10.1002/2016ms000878

Physical-biogeochemical regional ocean model uncertainties stemming from stochastic parameterizations and potential impact on data assimilation

Autor: Pierre De Mey-Frémaux, Malek Ghantous, John Karagiorgos, Vassilios Vervatis, Charles-Emmanuel Testut, Marios Kailas, Sarantis Sofianos, Nadia Ayoub

We generate ocean biogeochemical model ensembles including several kinds of stochastic parameterizations. The NEMO stochastic modules are complemented by integrating a subroutine to calculate variable anisotropic spatial scales, which are of particul

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::42e3d8ff4a5cfd69dba022b17b33fa11
https://doi.org/10.5194/gmd-2019-31