Publicação
Building a wind atlas for mainland Portugal using a weather type classification
| Resumo: | A weather type classification scheme was implemented for the construction of a wind atlas to mainland Portugal. This methodology produced 26 different weather types computed by geostrophic vorticity at mean sea level pressure. Applying a simple calculus scheme, it is possible to find the most likely representative day for each weather type if a meteorological database with wind data is available. Each selected day can be simulated by a mesoscale model (e.g.MM5) being possible to construct the final wind atlas through the sum of the simulated days, weighted by the respective frequency factor. In this paper, it is shown that the results obtained by the application of this classification scheme for mean wind and energy density fields are very similar to long term simulations. |
|---|---|
| Autores principais: | Costa, Paula Silva |
| Outros Autores: | Estanqueiro, Ana; Miranda, Pedro |
| Assunto: | Weather regimes Mesoscale models Wind resource Wind atlas |
| Ano: | 2006 |
| País: | Portugal |
| Tipo de documento: | documento de conferência |
| Tipo de acesso: | acesso aberto |
| Instituição associada: | Laboratório Nacional de Energia e Geologia, I.P. |
| Idioma: | inglês |
| Origem: | Repositório do LNEG |
| Resumo: | A weather type classification scheme was implemented for the construction of a wind atlas to mainland Portugal. This methodology produced 26 different weather types computed by geostrophic vorticity at mean sea level pressure. Applying a simple calculus scheme, it is possible to find the most likely representative day for each weather type if a meteorological database with wind data is available. Each selected day can be simulated by a mesoscale model (e.g.MM5) being possible to construct the final wind atlas through the sum of the simulated days, weighted by the respective frequency factor. In this paper, it is shown that the results obtained by the application of this classification scheme for mean wind and energy density fields are very similar to long term simulations. |
|---|
Atividades financiadas
Não foram encontrados projetos financiados.