Zobrazeno 1 - 4
of 4
pro vyhledávání: '"María Eugenia Magariño"'
Autor:
Grigory Nikulin, Shakeel Asharaf, María Eugenia Magariño, Sandro Calmanti, Rita M. Cardoso, Jonas Bhend, Jesús Fernández, María Dolores Frías, Kristina Fröhlich, Barbara Früh, Sixto Herrera García, Rodrigo Manzanas, José Manuel Gutiérrez, Ulf Hansson, Michael Kolax, Mark A. Liniger, Pedro M.M. Soares, Christoph Spirig, Ricardo Tome, Klaus Wyser
Publikováno v:
Climate Services, Vol 9, Iss , Pp 72-85 (2018)
Within the FP7 EUPORIAS project we have assessed the utility of dynamical and statistical downscaling to provide seasonal forecast for impact modelling in eastern Africa. An ensemble of seasonal hindcasts was generated by the global climate model (GC
Externí odkaz:
https://doaj.org/article/6a368e7a27ec49b8a5df1c74556213f9
Autor:
José M. Gutiérrez, Rodrigo Manzanas, E. van Meijgaard, Antonio S. Cofiño, María Eugenia Magariño, Sandro Calmanti, Sixto Herrera, Jesús Fernández
Publikováno v:
Climate Services, Vol 9, Iss, Pp 44-56 (2018)
Climate Services 9 (2018) 44-56
UCrea Repositorio Abierto de la Universidad de Cantabria
Universidad de Cantabria (UC)
Climate Services 9 (2018) 44-56
UCrea Repositorio Abierto de la Universidad de Cantabria
Universidad de Cantabria (UC)
This work describes the results of a comprehensive intercomparison experiment of dynamical and statistical downscaling methods performed in the framework of the SPECS (http://www.specs-fp7.eu) and EUPORIAS (http://www.euporias.eu) projects for season
Autor:
Raquel Romera, María Eugenia Magariño, Juan Pedro Montávez, Jesús Fernández, Sergio Lozano-Galeana, William Cabos, Giovanni Liguori, Dmitry Sein, Miguel Ángel Gaertner, Guillermo Gómez, Lluis Fita, Marta Domínguez, Pedro Jiménez-Guerrero
Publikováno v:
Wind Energy. 19:1223-1237
Wind energy is susceptible to global climate change because it could alter the wind patterns. Then, improvement of our knowledge of wind field variability is crucial to optimize the use of wind resources in a given region. Here, we quantify the effec
Autor:
José M. Gutiérrez, Antonio S. Cofiño, Markel García-Díez, Jesús Fernández, Carlos Blanco, V. Fernández-Quiruelas, Lluis Fita, María Eugenia Magariño
Publikováno v:
Geosci. Model Dev. Discuss., 8, 6551-6582, 2015
UCrea Repositorio Abierto de la Universidad de Cantabria
Universidad de Cantabria (UC)
UCrea Repositorio Abierto de la Universidad de Cantabria
Universidad de Cantabria (UC)
his work presents a framework, WRF4G, to manage the experiment workflow of the Weather Research and Forecasting (WRF) modelling system. WRF4G provides a flexible design, execution and monitoring for a general class of scientific experiments. It has b
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::be1490f9c2c8b960bdca52d354886fa5
http://hdl.handle.net/10902/11186
http://hdl.handle.net/10902/11186