Zobrazeno 1 - 4
of 4
pro vyhledávání: '"2509.09 Predicción Numérica Meteorológica"'
Autor:
Raquel Pérez-Orozco, Javier López-Gómez, Pablo Eguía-Oller, Jesús López-Pérez, Rosario de la Huz, Enrique Granada-Álvarez, Rodrigo Cerviño-Rodríguez
Publikováno v:
Water; Volume 14; Issue 21; Pages: 3387
This work is related to the growing interest in the identification of upwelling periods in the Galician SW coast, since these are linked to the great biodiversity and richness of its waters. This paper aims to assess the feasibility of using meteorol
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::466a373eeacefe3f56e0056739c34c43
https://doi.org/10.3390/w14213387
https://doi.org/10.3390/w14213387
Autor:
Lara Febrero Garrido, José García, Ana Ogando Martínez, Francisco Manuel Troncoso Pastoriza, Javier López Gómez, Enrique Granada Álvarez
Publikováno v:
Investigo. Repositorio Institucional de la Universidade de Vigo
Universidade de Vigo (UVigo)
Sustainability, Vol 12, Iss 10295, p 10295 (2020)
Sustainability
Volume 12
Issue 24
RUC. Repositorio da Universidade da Coruña
instname
RUC: Repositorio da Universidade da Coruña
Universidade da Coruña (UDC)
Universidade de Vigo (UVigo)
Sustainability, Vol 12, Iss 10295, p 10295 (2020)
Sustainability
Volume 12
Issue 24
RUC. Repositorio da Universidade da Coruña
instname
RUC: Repositorio da Universidade da Coruña
Universidade da Coruña (UDC)
[Abstract] The monitoring of power generation installations is key for modelling and predicting their future behaviour. Many renewable energy generation systems, such as photovoltaic panels and wind turbines, strongly depend on weather conditions. Ho
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::db0fe9cb42b26ca8477d48f29a412083
http://hdl.handle.net/11093/1765
http://hdl.handle.net/11093/1765
Autor:
Francisco Manuel Troncoso Pastoriza, Enrique Granada Álvarez, Pablo Eguía Oller, Javier López Gómez
Publikováno v:
Investigo. Repositorio Institucional de la Universidade de Vigo
Universidade de Vigo (UVigo)
Infrastructures
Volume 5
Issue 2
Infrastructures, Vol 5, Iss 2, p 15 (2020)
Universidade de Vigo (UVigo)
Infrastructures
Volume 5
Issue 2
Infrastructures, Vol 5, Iss 2, p 15 (2020)
Mapping of meteorological conditions surrounding road infrastructures is a critical tool to identify high-risk spots related to harsh weather. However, local or regional data are not always available, and researchers and authorities must rely on coar
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::dd8dd79bb2cf5222e4d66b184765f8a6
https://www.mdpi.com/2412-3811/5/2/15
https://www.mdpi.com/2412-3811/5/2/15
Autor:
Merino Suances, Andrés
168 p. [ES] La observación y predicción de los fenómenos convectivos severos presenta importantes retos. La mejora en el conocimiento de estos fenómenos es de sumo interés para reducir los riesgos que ocasionan sobre la población y el medio amb
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=od______2010::bc81f15b6236760cb5594cbd92c32383
http://hdl.handle.net/10612/16809
http://hdl.handle.net/10612/16809