Spanish Extreme Winds and Their Relationships with Atlantic Large-Scale Atmospheric Patterns

  1. Pascual, Alvaro 1
  2. Valero, Francisco 1
  3. Martín, Maria Luisa 3
  4. García-Legaz, Carlos 2
  1. 1 Universidad Complutense de Madrid
    info

    Universidad Complutense de Madrid

    Madrid, España

    ROR 02p0gd045

  2. 2 Agencia Estatal de Meteorología
    info

    Agencia Estatal de Meteorología

    Madrid, España

    ROR https://ror.org/04kxf1r09

  3. 3 Universidad de Valladolid
    info

    Universidad de Valladolid

    Valladolid, España

    ROR https://ror.org/01fvbaw18

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Revue:
American Journal of Climate Change

ISSN: 2167-9495,  2167-9509

Année de publication: 2013

Volumen: 02

Número: 03

Pages: 23-35

Type: Article

DOI: 10.4236/AJCC.2013.23A003 GOOGLE SCHOLAR lock_openAccès ouvert editor

D'autres publications dans: American Journal of Climate Change

Objectifs de Développement Durable

Résumé

The purpose of this work is to review procedures to obtain relationships between wind and large-scale atmosphericfields, with special emphasis on extreme situation results. Such relationships are obtained by using different methodsand techniques such as wind cumulative probability functions and composite maps. The analyses showed differentmean atmospheric situations associated with the different wind patterns, in which strong atmospheric gradients can berelated to moderate to strong winds in Spain. Additionally, a statistical downscaling analog model, developed by theauthors, is used for diagnosing large-scale atmospheric circulation patterns and subsequently estimating extreme windprobabilities. From an atmospheric circulation pattern set obtained by multivariate methodology applied to a large-scaleatmospheric circulation field, estimations of wind fields, particularly extreme winds, are obtained by means of the analogs methodology. Deterministic and probabilistic results show that gust behaviour is quite better approximated thanmean wind speed, in general. The model presents some underestimations except for strong winds. Moreover, the modelshows better probabilistic wind results over the Spanish northern area, highlighting that the atmospheric situationscoming from the Atlantic Ocean are better recovered to predict mean wind and gusts in the Northern Peninsula.

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