Zobrazeno 1 - 10
of 365
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
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
Publikováno v:
Geoscientific Model Development, Vol 13, Pp 1609-1622 (2020)
A method to reconstruct missing data in sea surface temperature data using a neural network is presented. Satellite observations working in the optical and infrared bands are affected by clouds, which obscure part of the ocean underneath. In this pap
Externí odkaz:
https://doaj.org/article/b9d5962e076344a7aa1d1cc42e9b6047
Publikováno v:
Ocean Science, Vol 10, Iss 5, Pp 845-862 (2014)
We present a method in which the optimal interpolation of multi-scale processes can be expanded into a succession of simpler interpolations. First, we prove how the optimal analysis of a superposition of two processes can be obtained by different
Externí odkaz:
https://doaj.org/article/e20c833657574742b7c20ea93f3350d4
Publikováno v:
Geoscientific Model Development, Vol 7, Iss 1, Pp 225-241 (2014)
A tool for multidimensional variational analysis (divand) is presented. It allows the interpolation and analysis of observations on curvilinear orthogonal grids in an arbitrary high dimensional space by minimizing a cost function. This cost function
Externí odkaz:
https://doaj.org/article/69abcaf9e0d949f9aaa8d5f8a17cbf9b
Publikováno v:
Advances in Geosciences, Vol 28, Pp 29-37 (2010)
Spatial interpolation of observations on a regular grid is a common task in many oceanographic disciplines (and geosciences in general). It is often used to create climatological maps for physical, biological or chemical parameters representing e.g.
Externí odkaz:
https://doaj.org/article/7c0adce50d334664bf0b27fe5cdce54c
Publikováno v:
Ocean Science, Vol 6, Iss 1, Pp 161-178 (2010)
High-Frequency (HF) radars measure the ocean surface currents at various spatial and temporal scales. These include tidal currents, wind-driven circulation, density-driven circulation and Stokes drift. Sequential assimilation methods updating the mod
Externí odkaz:
https://doaj.org/article/82d4468338ff431aae906925ef178bd4
Publikováno v:
Ocean Science, Vol 5, Iss 4, Pp 475-485 (2009)
DINEOF (Data Interpolating Empirical Orthogonal Functions) is an EOF-based technique for the reconstruction of missing data in geophysical fields, such as those produced by clouds in sea surface temperature satellite images. A technique to reduce spu
Externí odkaz:
https://doaj.org/article/752d207282764072b56c1951c41ef0b8
Autor:
F. Lenartz, L. Vandenbulcke, R. H. Weisberg, J.-M. Beckers, A. Alvera-Azcárate, A. Barth, M. Rixen
Publikováno v:
Ocean Science, Vol 5, Iss 3, Pp 259-270 (2009)
A method is presented to create an ensemble of perturbations that satisfies linear dynamical constraints. A cost function is formulated defining the probability of each perturbation. It is shown that the perturbations created with this approach take
Externí odkaz:
https://doaj.org/article/d75f80200c8b44029cdef19cf0d1811f