Zobrazeno 1 - 10
of 10
pro vyhledávání: '"John Karagiorgos"'
Publikováno v:
Environmental Sciences Proceedings, Vol 26, Iss 1, p 60 (2023)
Intense cyclones with tropical-like characteristics (also known as “medicanes”) occasionally develop in the Mediterranean. They can cause extreme weather phenomena with catastrophic potential due to excessive precipitation, windstorms, and coasta
Externí odkaz:
https://doaj.org/article/25c1044b3e244a78b81561fa6ff98e90
Publikováno v:
Journal of Marine Science and Engineering, Vol 8, Iss 8, p 617 (2020)
The impact of tides on the Bay of Biscay dynamics is investigated by means of an ocean model twin-experiment, consisted of two simulations with and without tidal forcing. The study is based on a high-resolution (1/36∘) regional configuration of NEM
Externí odkaz:
https://doaj.org/article/f95a232f838a426b924c9679b5879b5c
Marine chlorophyll concentration has an impact on turbidity affecting the upper-ocean properties and regulating the air-sea fluxes. This work aims at assessing the effect of turbidity, as estimated via surface chlorophyll, on the heat content and dyn
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::a4a748346317d977518b6a305fab07d1
https://doi.org/10.5194/egusphere-egu23-3520
https://doi.org/10.5194/egusphere-egu23-3520
Publikováno v:
Ocean Science, Vol 17, Pp 919-934 (2021)
We investigate the impact of atmospheric forcing uncertainties on the prediction of the dispersion of pollutants in the marine environment. Ensemble simulations consisting of 50 members were carried out using the ECMWF ensemble prediction system and
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::462e1d0a172d9f1a5361876cbe424faa
https://os.copernicus.org/preprints/os-2021-27/
https://os.copernicus.org/preprints/os-2021-27/
Autor:
Sarantis Sofianos, Vassilios Vervatis, Pierre De Mey-Frémaux, Bénédicte Lemieux-Dudon, Nadia Ayoub, John Karagiorgos
The study builds upon two Copernicus marine projects, SCRUM and SCRUM2, focusing on ensemble forecasting operational capabilities to better serve coastal downscaling. Both projects provided coupled physics-biogeochemistry ensemble generation approach
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::ed4df6b482a2d1c3d848dc5146900dac
https://doi.org/10.5194/egusphere-egu21-14154
https://doi.org/10.5194/egusphere-egu21-14154
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⟩
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
https://hal.archives-ouvertes.fr/hal-03441625/file/Vervatis_etal_part1_2021_preproof.pdf
Autor:
Vassilios Vervatis, Pierre De Mey-Frémaux, Stefano Ciavatta, Nadia Ayoub, Sarantis Sofianos, Robert J. W. Brewin, John Karagiorgos
Publikováno v:
Ocean Modelling
Ocean Modelling, Elsevier, 2021, 160, pp.101770. ⟨10.1016/j.ocemod.2021.101770⟩
Ocean Modelling, 2021, 160, pp.101770. ⟨10.1016/j.ocemod.2021.101770⟩
Ocean Modelling, Elsevier, 2021, 160, pp.101770. ⟨10.1016/j.ocemod.2021.101770⟩
Ocean Modelling, 2021, 160, pp.101770. ⟨10.1016/j.ocemod.2021.101770⟩
International audience; In this Part 2 article of a two-part series, observations based on satellite missions were used to evaluate the empirical consistency of model ensembles generated via stochastic modelling of ocean physics and biogeochemistry.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::e572a07cbc7a8115b48921edac2ef511
https://hal.archives-ouvertes.fr/hal-03441458
https://hal.archives-ouvertes.fr/hal-03441458
Publikováno v:
Journal of Marine Science and Engineering, Vol 8, Iss 617, p 617 (2020)
Journal of Marine Science and Engineering
Volume 8
Issue 8
Journal of Marine Science and Engineering
Volume 8
Issue 8
The impact of tides on the Bay of Biscay dynamics is investigated by means of an ocean model twin-experiment, consisted of two simulations with and without tidal forcing. The study is based on a high-resolution (1/36∘) regional configuration of NEM
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::bbe5db8c697916773ca33992ee8a42b5
https://www.mdpi.com/2077-1312/8/8/617
https://www.mdpi.com/2077-1312/8/8/617
The Aegean Sea is one of the world’s busiest waterways, combined with complex and intense weather and sea current patterns with strong seasonality, complicated coastline and bathymetry. Therefore, the uncertainty assessment of the oil spill forecas
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::4a97d006ab9d44f1baa5742af34c65a3
https://doi.org/10.5194/egusphere-egu2020-20228
https://doi.org/10.5194/egusphere-egu2020-20228
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
https://doi.org/10.5194/gmd-2019-31