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    • DEP51 - Artículos de revista
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    Por favor, use este identificador para citar o enlazar este ítem:https://uvadoc.uva.es/handle/10324/71397

    Título
    Analysis of the atmospheric circulation pattern effects over SPEI drought index in Spain
    Autor
    Manzano, Antonio
    Clemente, Miguel A.
    Morata, Ana
    Luna, M. Yolanda
    Beguería, Santiago
    Vicente-Serrano, Sergio M.
    Martín Pérez, María LuisaAutoridad UVA Orcid
    Año del Documento
    2019
    Editorial
    Atmospheric Research
    Documento Fuente
    Atmospheric Research Volume 230, 1 December 2019, 104630
    Abstract
    Drought episodes affect large continental areas all over the world, becoming one of the main natural hazards regarding their economic, social and environmental impacts. The design and improvement of drought monitoring and forecasting systems has become a priority application and has driven the need to a better understanding of the development of drought episodes. In this work, a study of the relationships between drought conditions over the Iberian Peninsula and teleconnection patterns with a major impact over this region is assessed. The three-month aggregated standardized precipitation evapotranspiration index (SPEI) is used to characterize different clustered areas with homogeneous hydrological behaviour on a seasonal basis. Correlation results reveal that Artic Oscillation (AO) and North Atlantic Oscillation (NAO) patterns have a significant impact on droughts in winter over large areas of the Iberian Peninsula, while the Western Mediterranean Oscillation (WeMO) pattern exhibit the largest influence on hydrological behaviour over the southeastern region. The East Atlantic (EA) pattern effects switch between weakening and reinforcement as result of a balance of two different processes such as the increase in precipitation (dominant in winter) and the increase in temperature (dominant in summer). A wavelet analysis is performed to the seasonal mean atmospheric pattern time series and clustered mean SPEI time series. The wavelet power spectra highlight common periodicity features pointing out the close relationships between the atmospheric patterns and the drought index.
    ISSN
    0169-8095
    Revisión por pares
    SI
    DOI
    10.1016/j.atmosres.2019.104630
    Patrocinador
    DESEMON (CGL2014-52135- 476 C3-2-B)
    PCIN-2014-013-C07-04
    PCIN2016-080 (UE ERA-NET Plus NEWA Project)
    CGL2016-78702-C2-1-R and CGL2016-78702-C2-2-R
    CGL2016-81828-REDT
    Idioma
    spa
    URI
    https://uvadoc.uva.es/handle/10324/71397
    Tipo de versión
    info:eu-repo/semantics/draft
    Derechos
    openAccess
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    • DEP51 - Artículos de revista [145]
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    Universidad de Valladolid

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