Zobrazeno 1 - 10
of 86
pro vyhledávání: '"J. Ballabrera"'
Publikováno v:
Nonlinear Processes in Geophysics, Vol 24, Pp 613-643 (2017)
Ocean currents play a key role in Earth's climate – they impact almost any process taking place in the ocean and are of major importance for navigation and human activities at sea. Nevertheless, their observation and forecasting are still diffic
Externí odkaz:
https://doaj.org/article/8cd3931d1aef4bd2a587ab6254795147
For the first time a statistical analysis of oil spill beaching is applied to the whole Mediterranean Sea. A series of probability maps of beaching in case of an oil spill incident are proposed as a complementary tool to vulnerability analysis and ri
Externí odkaz:
http://arxiv.org/abs/1510.00287
Akademický článek
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Autor:
E. Olmedo, V. Gonzalez-Gambau, A. Turiel, J. Martinez, C. Gabarro, J. Ballabrera-Poy, M. Portabella, M. Arias, R. Sabia
Publikováno v:
Digital.CSIC. Repositorio Institucional del CSIC
instname
instname
2018 IEEE International Geoscience and Remote Sensing Symposium (IGARSS 2018), Observing, Understanding And ForecastingThe Dynamics Of Our Planet, 22-27 July 2018, Valencia, Spain
After more than eight years of Soil Moisture and Ocean Salinity (
After more than eight years of Soil Moisture and Ocean Salinity (
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::86bc2f7b4e9fad667b4426ceccdc9a25
http://hdl.handle.net/10261/190783
http://hdl.handle.net/10261/190783
Autor:
Oriol Sánchez, Emilio García-Ladona, Pedro Elosegui, Josep Lluís Pelegrí, J. Ballabrera, Jordi Font, Joaquim Salvador, Jordi Isern-Fontanet, Pere Fernandez, José A. Jiménez Madrid, Fernando Rull Pérez, Jordi Salat
Publikováno v:
Scientia Marina; Vol. 80 No. S1 (2016); 141-158
Scientia Marina; Vol. 80 Núm. S1 (2016); 141-158
Scientia Marina
Consejo Superior de Investigaciones Científicas (CSIC)
Digital.CSIC. Repositorio Institucional del CSIC
instname
Scientia Marina, Vol 80, Iss S1, Pp 141-158 (2016)
Scientia Marina; Vol. 80 Núm. S1 (2016); 141-158
Scientia Marina
Consejo Superior de Investigaciones Científicas (CSIC)
Digital.CSIC. Repositorio Institucional del CSIC
instname
Scientia Marina, Vol 80, Iss S1, Pp 141-158 (2016)
Special volume: Planet Ocean. Scientia Marina 80(Suppl.1) 2016.-- 18 pages, 22 figures, 1 table
[EN] Since the mid-1980s, physical oceanographers at the Institute of Marine Sciences have been involved in the use of Lagrangian drifters as a compl
[EN] Since the mid-1980s, physical oceanographers at the Institute of Marine Sciences have been involved in the use of Lagrangian drifters as a compl
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::9443849a4d98fb9559b0a4408e6b568a
http://hdl.handle.net/10261/138198
http://hdl.handle.net/10261/138198
For the first time a statistical analysis of oil spill beaching is applied to the whole Mediterranean Sea. A series of probability maps of beaching in case of an oil spill incident are proposed as a complementary tool to vulnerability analysis and ri
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::c0a30986dd7131cc83278ef2cc563732
http://arxiv.org/abs/1510.00287
http://arxiv.org/abs/1510.00287
Publikováno v:
Climate Dynamics. 24:511-521
The connection between autumn rainfall variability in the Euro-Asian domain and tropical climate is documented using state-of-the-art global observational datasets and re-analyses. Results suggest a robust statistical relationship between the El Nino
Publikováno v:
Quarterly Journal of the Royal Meteorological Society
Quarterly Journal of the Royal Meteorological Society, Wiley, 2001, 127, pp.233-253. ⟨10.1002/qj.49712757113⟩
Quarterly Journal of the Royal Meteorological Society, Wiley, 2001, 127, pp.233-253. ⟨10.1002/qj.49712757113⟩
ISSN 0035 - 9009; International audience; The Singular Evolutive Extended Kalman (SEEK) filter introduced by Pham et al. is applied to a primitive‐equation model in order to reconstruct the mesoscale circulation typical of the mid‐latitude ocean
Publikováno v:
Journal of Marine Systems. 22:269-294
A new data assimilation scheme has been elaborated for ocean circulation models based on the concept of an evolutive, reduced-order Kalman filter. The dimension of the assimilation problem is reduced by expressing the initial error covariance matrix