Zobrazeno 1 - 10
of 1 135
pro vyhledávání: '"A. Alvera-Azcárate"'
Publikováno v:
Ocean Science, Vol 20, Pp 1087-1107 (2024)
Marine heatwaves (MHWs) have been increasing in frequency, intensity, and duration worldwide, which poses a serious threat to marine ecosystems and fisheries. The Red Sea (RS), a semi-enclosed marginal sea, is highly vulnerable to climate change due
Externí odkaz:
https://doaj.org/article/e4eea76ff14f4c98ba86f25a3c553dc0
Autor:
P. Linford, I. Pérez-Santos, P. Montero, P. A. Díaz, C. Aracena, E. Pinilla, F. Barrera, M. Castillo, A. Alvera-Azcárate, M. Alvarado, G. Soto, C. Pujol, C. Schwerter, S. Arenas-Uribe, P. Navarro, G. Mancilla-Gutiérrez, R. Altamirano, J. San Martín, C. Soto-Riquelme
Publikováno v:
Biogeosciences, Vol 21, Pp 1433-1459 (2024)
The dissolved oxygen (DO) levels of coastal ocean waters have decreased over the last few decades in part because of the increase in surface and subsurface water temperature caused by climate change, the reduction in ocean ventilation, and the increa
Externí odkaz:
https://doaj.org/article/1407f524810746af9484c0b5b790199a
Akademický článek
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Autor:
Manuel Vargas-Yáñez, Ricardo F. Sánchez-Leal, Aida Alvera-Azcárate, Charles Troupin, Francina Moya, Enrique Ballesteros, Mariano Serra, Rosa Balbín, Vicenç Moltó, Mª Carmen García-Martínez
Publikováno v:
Scientia Marina, Vol 87, Iss 3 (2023)
Large anticyclonic eddies can detach from the Algerian Current, forming open-sea Algerian Eddies. These mesoscale structures have been intensively studied by means of sea surface temperature and altimetry data, and using numerical models. However, fe
Externí odkaz:
https://doaj.org/article/4e42b4064d584c4d8c5af18c969c486b
Publikováno v:
Frontiers in Marine Science, Vol 10 (2023)
In this study, we examined the long-term spatiotemporal trend of marine heatwaves (MHW) and marine cold spells (MCS) characteristics in the southern North Sea over the last four decades (1982-2021). We then estimated the difference between their annu
Externí odkaz:
https://doaj.org/article/ea7e69f19456485488b1192c6638e138
Autor:
Stechele, Brecht, van der Zande, Dimitry, Alvera-Azcárate, Aida, Delbare, Daan, Lacroix, Geneviève, Nevejan, Nancy
Publikováno v:
In Aquacultural Engineering August 2022 98
Publikováno v:
Geoscientific Model Development, Vol 15, Pp 2183-2196 (2022)
DINCAE (Data INterpolating Convolutional Auto-Encoder) is a neural network used to reconstruct missing data (e.g., obscured by clouds or gaps between tracks) in satellite data. Contrary to standard image reconstruction (in-painting) with neural netwo
Externí odkaz:
https://doaj.org/article/b6b6c8124da64993bd4f8f38c160186c
Akademický článek
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Autor:
Barth, Alexander, Brajard, Julien, Alvera-Azcárate, Aida, Mohamed, Bayoumy, Troupin, Charles, Beckers, Jean-Marie
Publikováno v:
EGUsphere; 4/12/2024, p1-26, 26p
Publikováno v:
EGUsphere; 2/7/2024, p1-30, 30p