Please use this identifier to cite or link to this item: http://hdl.handle.net/10553/46833
Title: Meteosat second Generation Surface Temperature assimilation for WRF model over Canary Islands domain
Authors: Martin, Javier 
Perera, A.
Eugenio González, Francisco 
Nebot, R.
Marcello, J. 
Piernavieja, G.
UNESCO Clasification: 3307 Tecnología electrónica
Keywords: Atmospheric modeling
Predictive models
Data models
Mathematical model
Wind forecasting, et al
Issue Date: 2012
Journal: IEEE International Geoscience and Remote Sensing Symposium proceedings 
Conference: IEEE International Geoscience and Remote Sensing Symposium (IGARSS 2012) 
Abstract: The use of weather forecasting models in energy applications has proven to be an effective tool in the management of renewable energy sources in power distribution networks which requires precise predictions and high-resolution of solar radiation and wind speed data. Therefore, the use of data from meteorological satellites such as Meteosat second Generation (MSG) can produce improvements in weather forecasting results. The integration of satellite data in weather prediction models is a developing field, because the assimilated data for these types of models mainly proceed from in-situ data at multiple stations, with low spatial resolution. The objective of this work has been the integration of data from the MSG satellite in the assimilation of meteorological model Weather Research and Forecasting (WRF-ARW), trying to improve results in meteorology predictions used in renewable power applications.
URI: http://hdl.handle.net/10553/46833
ISSN: 2153-6996
DOI: 10.1109/IGARSS.2012.6350998
Source: IEEE International Geoscience and Remote Sensing Symposium proceedings[2153-6996], p. 2438-2441
Appears in Collections:Actas de congresos
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