Zobrazeno 1 - 10
of 279
pro vyhledávání: '"Ubelmann, A."'
Autor:
Vincent, Elliot, Saroufim, Mehraïl, Chemla, Jonathan, Ubelmann, Yves, Marquis, Philippe, Ponce, Jean, Aubry, Mathieu
Archaeological sites are the physical remains of past human activity and one of the main sources of information about past societies and cultures. However, they are also the target of malevolent human actions, especially in countries having experienc
Externí odkaz:
http://arxiv.org/abs/2409.09432
Satellite altimetry combined with data assimilation and optimal interpolation schemes have deeply renewed our ability to monitor sea surface dynamics. Recently, deep learning (DL) schemes have emerged as appealing solutions to address space-time inte
Externí odkaz:
http://arxiv.org/abs/2309.14350
Sea surface height (SSH) is a key geophysical parameter for monitoring and studying meso-scale surface ocean dynamics. For several decades, the mapping of SSH products at regional and global scales has relied on nadir satellite altimeters, which prov
Externí odkaz:
http://arxiv.org/abs/2302.04497
Autor:
Ubelmann, Clément1 (AUTHOR) clement.ubelmann@datlas.fr, Dibarboure, Gérald2 (AUTHOR), Flamant, Benjamin3 (AUTHOR), Delepoulle, Antoine3 (AUTHOR), Vayre, Maxime3 (AUTHOR), Faugère, Yannice2 (AUTHOR), Prandi, Pierre3 (AUTHOR), Raynal, Matthias2 (AUTHOR), Briol, Frédéric3 (AUTHOR), Bracher, Geoffroy3 (AUTHOR), Cadier, Emeline3 (AUTHOR)
Publikováno v:
Remote Sensing. Oct2024, Vol. 16 Issue 19, p3558. 21p.
Publikováno v:
Journal of Advances in Modeling Earth Systems, Vol 16, Iss 7, Pp n/a-n/a (2024)
Abstract Satellite altimetry combined with data assimilation and optimal interpolation schemes have deeply renewed our ability to monitor sea surface dynamics. Recently, deep learning schemes have emerged as appealing solutions to address space‐tim
Externí odkaz:
https://doaj.org/article/f46edd62664b4995ab9f38b2cbf95bce
Autor:
Jenkins, Joseph, Paiement, Adeline, Ourmières, Yann, Sommer, Julien Le, Verron, Jacques, Ubelmann, Clément, Glotin, Hervé
Reconstructions of Lagrangian drift, for example for objects lost at sea, are often uncertain due to unresolved physical phenomena within the data. Uncertainty is usually overcome by introducing stochasticity into the drift, but this approach require
Externí odkaz:
http://arxiv.org/abs/2204.05891
Satellite radar altimeters are a key source of observation of ocean surface dynamics. However, current sensor technology and mapping techniques do not yet allow to systematically resolve scales smaller than 100km. With their new sensors, upcoming wid
Externí odkaz:
http://arxiv.org/abs/2110.03405
Autor:
Jennifer Waters, Matthew J. Martin, Isabelle Mirouze, Elisabeth Rémy, Robert R. King, Lucile Gaultier, Clement Ubelmann, Craig Donlon, Simon Van Gennip
Publikováno v:
Frontiers in Marine Science, Vol 11 (2024)
Operational forecasts rely on accurate and timely observations and it is important that the ocean forecasting community demonstrates the impact of those observations to the observing community and its funders while providing feedback on requirements
Externí odkaz:
https://doaj.org/article/1552ecc5a5c94e309e7964eea841be95
Autor:
Jennifer Waters, Matthew J. Martin, Michael J. Bell, Robert R. King, Lucile Gaultier, Clément Ubelmann, Craig Donlon, Simon Van Gennip
Publikováno v:
Frontiers in Marine Science, Vol 11 (2024)
Accurate prediction of ocean surface currents is important for marine safety, ship routing, tracking of pollutants and in coupled forecasting. Presently, velocity observations are not routinely assimilated in global ocean forecasting systems, largely
Externí odkaz:
https://doaj.org/article/5306c25ea6a14b9b8a94f01a5cead434
Publikováno v:
Ocean Science, Vol 19, Pp 1517-1527 (2023)
For over 25 years, satellite altimetry has provided invaluable information about the ocean dynamics at many scales. In particular, gridded sea surface height (SSH) maps allow us to estimate the mesoscale geostrophic circulation in the ocean. However,
Externí odkaz:
https://doaj.org/article/ef1f1b7599774e2f86d0b46fd5bb8567