Zobrazeno 1 - 4
of 4
pro vyhledávání: '"Francisco J. Alvarez-Garcia"'
Autor:
Younes Zekeik, Maria J. OrtizBevia, Francisco J. Alvarez-Garcia, Ali Haddi, Youness El Mourabit, Antonio RuizdeElvira
Publikováno v:
Journal of Marine Science and Engineering, Vol 12, Iss 3, p 460 (2024)
Offshore wind energy is a promising resource for renewable energy development. Reanalysed wind data are unmatched by other wind data sources in providing a long-term assessment of wind power potential. In this study, 10 of the selected offshore locat
Externí odkaz:
https://doaj.org/article/3a6d97de85344e0b8e3b44f20ffbb561
Autor:
Dmitry V. Sein, Matthias Gröger, William Cabos, Francisco J. Alvarez‐Garcia, Stefan Hagemann, Joaquim G. Pinto, Alfredo Izquierdo, Alba de laVara, Nikolay V. Koldunov, Anton Yu. Dvornikov, Natalia Limareva, Evgenia Alekseeva, Benjamin Martinez‐Lopez, Daniela Jacob
Publikováno v:
Journal of Advances in Modeling Earth Systems, Vol 12, Iss 8, Pp n/a-n/a (2020)
Abstract Climate simulations for the North Atlantic and Europe for recent and future conditions simulated with the regionally coupled ROM model are analyzed and compared to the results from the MPI‐ESM. The ROM simulations also include a biogeochem
Externí odkaz:
https://doaj.org/article/12706608a90140f2a96b7c29af02daf9
Autor:
Francisco A. Buendia-Hernandez, Maria J. Ortiz Bevia, Francisco J. Alvarez-Garcia, Antonio Ruizde Elvira
Publikováno v:
International Journal of Environmental Research and Public Health; Volume 19; Issue 22; Pages: 15406
In this study, we introduce a sensitivity analysis of modelled CO2 aviation emissions to changes in the model parameters, which is intended as a contribution to the understanding of the atmospheric composition stabilization issue. The two variable dy
Autor:
Miguel Tasambay-Salazar, María José Ortizbeviá, Francisco J. Alvarez-GarcÍa, Antonio M. Ruiz De Elvira
Publikováno v:
Tellus: Series A, Dynamic Meteorology and Oceanography, Vol 67, Iss 0, Pp 1-17 (2015)
The predictability of the Niño3.4 region, especially the skill loss for lead times longer than two seasons, is the target of this study. We use an equatorial version of a seasonal statistical model to identify a seasonal predictability barrier, the
Externí odkaz:
https://doaj.org/article/206cac199a31471b84b98a3b618897c2