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Predictability of European 2016/2017.
Dunstone, Nick; Scaife, Adam A; MacLachlan, Craig; Knight, Jeff; Ineson, Sarah; Smith, Doug; Thornton, Hazel; Gordon, Margaret; McLean, Peter; Palin, Erika; Hardiman, Steven; Walker, Brent.
Afiliación
  • Dunstone N; Met Office Hadley Centre Exeter UK.
  • Scaife AA; Met Office Hadley Centre Exeter UK.
  • MacLachlan C; College of Engineering, Mathematics and Physical Sciences University of Exeter Exeter UK.
  • Knight J; Met Office Hadley Centre Exeter UK.
  • Ineson S; Met Office Hadley Centre Exeter UK.
  • Smith D; Met Office Hadley Centre Exeter UK.
  • Thornton H; Met Office Hadley Centre Exeter UK.
  • Gordon M; Met Office Hadley Centre Exeter UK.
  • McLean P; Met Office Hadley Centre Exeter UK.
  • Palin E; Met Office Hadley Centre Exeter UK.
  • Hardiman S; Met Office Hadley Centre Exeter UK.
  • Walker B; Met Office Hadley Centre Exeter UK.
Atmos Sci Lett ; 19(12): e868, 2018 Dec.
Article en En | MEDLINE | ID: mdl-31191171
Winter 2016/2017 was one of the driest on record for central Europe and the United Kingdom. This was the result of blocked atmospheric circulation with high pressure centred over North-West Europe dominating the winter mean circulation pattern. Using large ensembles of simulated winters, we find that the observed winter 2016/2017 circulation was very similar in pattern and strength to the circulation associated with the top 10% of driest Central European winters. Here, we explore whether seasonal forecasts were able to predict this circulation pattern. Despite the fact that the observed circulation anomaly did not project on to the North Atlantic Oscillation (NAO), we find that forecasts starting in November did predict a high-pressure anomaly over North-Western Europe. We use two independent data sets, and methods, to probe the drivers of this circulation pattern. We find evidence for a Rossby Wave propagating out of the tropical Atlantic where there were anomalous local rainfall anomalies. This case study is another example of real-time seasonal forecast skill for Europe and provides evidence for predictability beyond the NAO pattern.
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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Tipo de estudio: Prognostic_studies / Risk_factors_studies Idioma: En Revista: Atmos Sci Lett Año: 2018 Tipo del documento: Article

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Tipo de estudio: Prognostic_studies / Risk_factors_studies Idioma: En Revista: Atmos Sci Lett Año: 2018 Tipo del documento: Article
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