Seasonal prediction of UK mean and extreme winds

Author:

Lockwood Julia F.1ORCID,Stringer Nicky1ORCID,Hodge Katie R.1ORCID,Bett Philip E.1,Knight Jeff1,Smith Doug1,Scaife Adam A.12,Patterson Matthew3ORCID,Dunstone Nick1,Thornton Hazel E.1

Affiliation:

1. Met Office Hadley Centre Exeter UK

2. Department of Mathematics and Statistics University of Exeter Exeter UK

3. Atmospheric, Oceanic and Planetary Physics University of Oxford Oxford UK

Abstract

AbstractRecent studies have shown that seasonal forecasting systems have significant skill in predicting northern European winds and storms in winter, but other seasons have not been so extensively analysed. Given this fact, and coupled with requests from users of the Met Office 3‐month outlook for the United Kingdom (UK), we have investigated the skill in predicting seasonal (3‐month) mean UK wind speed and storms (extreme winds) with a one‐month lead‐time, throughout the year, using a large ensemble from the Met Office's seasonal prediction system, GloSea. We find that seasonal UK storms and mean wind speeds are well correlated, and therefore a single prediction of UK mean wind speed will give an indication of predicted storm counts. Skill for these predictions is highest in winter (December–February), related to predictability of the North Atlantic Oscillation. In contrast, summer (June–August) UK wind skill is not significant and furthermore appears to be negative. We find evidence, in both observations and model members, for a Rossby wave from the tropics influencing UK summer winds and forming a significant predictable component in the model ensemble mean. However, the model predictable signal appears to be out of phase with that observed leading to the negative correlation. Further investigation into summer Rossby wave generation and propagation is necessary to understand whether summer predictions could be improved.

Funder

Department for Business, Energy and Industrial Strategy, UK Government

Publisher

Wiley

Subject

Atmospheric Science

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